We speak to Piero Gallucci, Vice President and General Manager UKI, at NetApp, about the UK’s talent crisis, the impact of AI, and what to look for when building your tech workforce in 2025.

How would you describe the outlook that the technology sector in the UK & Ireland faces in terms of access to talent? How have Brexit, the cost of living crisis, raising of university fees, etc. affected our access to the next generation of talent? 

The talent landscape is complex, but also rich. There’s no doubt that Brexit would have impacted the ability of some businesses to recruit, but the UK and Ireland remain major hubs for top-tier global talent. Indeed our international headquarters based in Cork, Ireland, has a partnership with the local Munster Technological University, nurturing young talent. 

Technology companies are also adapting to the economic headwinds facing them, and their future talent pool. One major example of this is the emergence of new pathways into the technology sector, outside of degrees. 

We’re seeing more people are entering the technology industry through apprenticeships, courses, or placements. This also helps to make our industry more accessible to talented young people who, for whatever reason, may not want to – or be able to – go to university. 

The conversation around talent acquisition seems to always revolve around the idea that we don’t have enough people, but also that everything is getting more competitive. How can you square those two ideas? 

It’s not as contradictory as it first appears. The shortage isn’t about people in the general population, but a lack of people with the specific skills the industry needs at a certain moment in time. The demand for experts in AI, cybersecurity, and cloud computing is skyrocketing, but the supply of people with those skills hasn’t caught up yet.

But individuals who do have those skills, can be highly selective about where they work. In this situation, it’s competitive for companies who are vying for that talent. Many do this by offering lucrative compensation and benefit packages that few can match. And with the requirements changing quickly, that’s how we get both competition and complexity. This underscores the importance of proactive talent development strategies. NetApp’s Emerging Talent (NET) program, for example, invests in the future by giving young people opportunities to gain experience and build essential skills for careers in technology, while also prioritising benefits like work-life balance and fulfilment.

Does it have anything to do with layoffs due to automation AI, as well as fire-rehire schemes perpetrated by some of the country’s biggest employers (British Airways, British Gas, Tesco, etc.)?

It’s true that AI is changing how we work. If leveraged effectively, AI will be an asset that supports people in doing their jobs. For example, it can help streamline tedious and repetitive work, freeing them up to focus on the creative, exciting, or more complex parts of their work. 

In supporting their employees by offering rigorous training at all levels, businesses are able to help their workforce grow and evolve alongside the technology that has been created to support them – not to threaten their roles. And as we’ve discussed, the job market is shaped by rapidly changing skill requirements and global competition for top talent. Most employees also seek job security and want to trust their employer. Practises like fire and rehire can threaten that, even if they are presented as the only option for a company’s survival. It can be difficult to balance market demands with employee well-being, which makes it even more important for leaders to be open and honest with their teams, as this can help build that trust. If employees are confident about their role and security, we’re less likely to lose specialists to competitors or different industries.  

How can young people “break in” to the technology sector?

Breaking into the technology sector can be both exciting and challenging. It’s not always about knowing every tiny detail of what technology can do. But showing a genuine interest in the company, and in technology as a whole, by asking questions, and showing a genuine desire to learn is a must for an industry that requires people to constantly be learning and acquiring new skills.

Admittedly, it is competitive. Building up skills through online tools, or by attending courses in coding or web development, can be a real differentiator. At NetApp, we offer rigorous internship programmes for university students, allowing them to gain experience across various departments within the business. Such experience can give people a head-start as well as the foundational skills to succeed from the outset of their career. It’s also a great way to start building out your network, and you never know where a simple conversation might take you. 

What are the qualities you’d like to see in the next generation of technology workers? 

For me, it’s a willingness to learn, get stuck in, and a strong work ethic. Collaboration is at the heart of everything we do, whether it’s working with each other or working with technology. So, the ability to listen, and take an interest in how the industry is living and breathing is crucial.  

A commitment to career-long learning is another thing I like to see in people entering the technology workforce. This industry requires learning at every stage of our career. Even as someone in a leadership role, I’m constantly looking to develop my skills whether that’s by speaking to individual members of my team, attending industry events, or working with a career coach. 

How can the existing tech sector cultivate that next generation?

Technology leaders must start early, and equip young people with the tools they will need to succeed, long before students start applying for jobs. At NetApp, we have close relationships with institutions like Munster University in Ireland, where we host talks and recruitment events. 

We also have our 2-year S3 Academy programme, which kicks off with a  robust 90-day international training programme to help our young professionals adjust to working life with skills that are not traditionally taught in classrooms. Mentorship is also something that is important to me, sharing what I’ve learnt through the mistakes I’ve made as well as the knowledge passed down to me to help the next generation of technology leaders to grow.

  • Digital Strategy
  • People & Culture

Aaron Saxton, Director of Disruptive Learning at UA92, looks at how we can educate the next generation of tech sector talent.

The UK is facing a significant skills gap in artificial intelligence (AI), machine learning (ML), data analytics and cybersecurity. Over two thirds of UK IT leaders see the lack of skill progression as the primary obstacle to implementing AI.

In response, education providers need to take proactive steps to equip students with the skills needed to these demands. By integrating advanced technologies such as AI, machine learning and cloud computing into their curriculum, organisations like UA92 are ensuring that its graduates are technically proficient. Not only that, but they are also preparing learners to navigate the ethical and practical challenges of the job market.

As educators, we must address the skills gap head-on. By doing so, we ensure our students are prepared for the challenges of tomorrow’s workforce. Our mission is to bridge the gap between industry needs and the talent we’re producing. By doing so, we ensure our graduates and apprentices are equipped to meet the rapid pace of technological change.

Ensure the curriculum remains aligned with industry needs

When developing new programmes, courses, or curricula, we actively involve key industry partners to provide feedback and critical evaluations based on the skills and expertise they know are needed to shape the talent of the future.

We collaborate closely with leading academics and leverage rich data to ensure the quality and relevance of our offerings. It is critical to acknowledge that perfection is unattainable, especially in a world that is constantly evolving. However, we believe the foundation for true success lies in fostering community and open conversation.

In a time when society feels increasingly divided, these principles are more important than ever.

With AI being part of our curriculum, we are revolutionising technical education. Our graduates are positioned to lead in technological innovation, driving success for their organisations.

Digital skills that students need to succeed in the future workforce

A critical skill for the future workforce is understanding how to use artificial intelligence effectively and ethically across various environments. Employers are increasingly focused on how prospective employees can leverage AI and machine learning to add value to their businesses.

Higher education institutions need to equip students with the knowledge and expertise needed to excel in this space, including high-quality prompting and effective AI engineering.

This should be treated as a superpower. We are now able to achieve what – a few years ago – we could never have possibly imagined, in such an incredibly short amount of time. Learners are prepared with the skills to make an immediate impact in their organisations.

Our undergraduate and apprenticeship programmes, covering areas like DevOps, Cloud Computing, Cyber and Linux, are harnessing AI to fast-track the development of future-ready engineers. This approach delivers significant value to both learners and the employers we collaborate with

By integrating advanced AI tools, students at UA92 are mastering programming and infrastructure as code (IaC) on major cloud platforms such as AWS and Azure at an accelerated pace.

As AI continues to evolve, organisations like University Academy 92 are shaping the next generation of tech leaders – ensuring that they are not only skilled but also responsible innovators.

  • People & Culture

Alicia Navarro, CEO and founder at FLOWN, looks at the changing nature of work, isolation, and how technology like body doubling can help.

The way we work has changed massively now that remote and hybrid models have become the new norm. In just a year, the number of fully remote workers has skyrocketed—rising from 49 percent in 2022 to 64 percent in 2023, according to Buffer. 

While these changes bring unprecedented flexibility for individuals and significant cost savings for businesses, they come with a hidden cost—rising isolation. 

As traditional office interactions fade, companies face a new challenge: how to keep employees connected, inspired, and productive in a world where for the most part, they’re on their own. To thrive in this new era, businesses are having to reimagine how they cultivate collaboration, culture, and creativity.

The isolation epidemic

Isolation isn’t just a mental health issue—it’s a productivity killer. Studies consistently show that loneliness can lead to decreased focus, lower motivation, and a sense of detachment from one’s work. For employees working remotely, the absence of casual chats, shared lunches, and impromptu brainstorming sessions can create a void that’s difficult to fill.

This lack of connection can have serious repercussions for our mental health. The World Health Organisation has identified workplace mental health as a critical issue, with stress and burnout affecting millions of workers worldwide. Remote work has only exacerbated this problem by blurring the lines between professional and personal life, leaving employees feeling perpetually “on.”

The question then becomes: how can businesses address this growing sense of disconnection without sacrificing the flexibility and efficiency that remote work offers? For me, the answer lies in leveraging technology to create a sense of community and structure that replicates what traditional workplaces once provided.

The rise of Body Doubling

Body doubling has gained traction as a powerful productivity tool. Originally popularised in neurodivergent communities, it involves working in the presence of another person to stay focused and on task. Virtual coworking platforms like FLOWN have adapted this concept for the modern workforce, enabling employees to join virtual focus rooms where they can work silently alongside colleagues even if they’re physically miles apart, share goals, and celebrate achievements in real time. These platforms help replicate the feeling of being in an office, complete with the subtle social accountability that drives productivity.

These tools aren’t just about combating loneliness; they’re about creating a structured and supportive work environment. For many employees, having a set time and space to work—even if it’s virtual—can provide the focus and motivation needed to tackle dull or challenging tasks. And for businesses, the benefits are clear. Body doubling can create happier, more engaged employees, better equipped to perform at their best, while retaining the flexibility of a remote work setup.

Why this technology matters now

As businesses navigate the complexities of remote and hybrid work, they’re realising that productivity isn’t just about meeting deadlines—it’s about fostering a culture where employees feel connected, valued, and inspired.

Investing in things like body doubling is a commitment to employee wellbeing. It signals that a company values not just output, but the people behind it. This approach aligns with a growing body of research showing that employee wellbeing directly impacts performance. When workers feel supported and connected, they’re more likely to be innovative, collaborative, and committed to their roles.

The future of work

As we look ahead, it’s clear that the future of work will be defined not just by where we work, but by how we work. The shift to remote and hybrid models has opened up new possibilities, but it’s also revealed significant challenges. 

In a world where isolation is becoming the norm, the importance of connection cannot be overstated and body doubling is just the beginning. As tools continue to evolve, they have the potential to reshape how we think about work, productivity, and community. For businesses, embracing this technology isn’t just a strategy for improving performance—it’s a commitment to building a healthier, more connected workforce.

  • Digital Strategy
  • People & Culture

We talk to Denise Payne, UK Lead Cloud Support Engineer at Trusted Tech, about navigating self-doubt, and approaching the move to tech with empathy, resilience, and adaptability.

The UK tech sector is famously facing a generational skills shortage. At the same time, however, the future of the sector itself is also facing a great deal of uncertainty, as technology like GenerativeAI threatens to degrade the value of human coders, as well as automating away many of the entry level jobs that provide an on-ramp into the industry. Nevertheless, the cost of living and wage stagnation are putting pressure on workers across the UK. The tech sector presents a chance for new career paths, but there’s a perceived high bar for entry that prevents many people from taking the plunge.

Today, Denise Payne is the UK Lead Cloud Support Engineer at Trusted Tech. However, less than a year ago, she was navigating self-doubt, learning an entirely new field from scratch, and balancing work, study, and personal life – all while facing setbacks that made her question her path. Transferring careers from nursing to cloud engineering has been a challenging process, and we sat down with her to find out about her experience of making the move to tech, particularly how things like transferable soft skills helped her succeed.

Hey Denise, could you tell us a little about you? What do you do at Trusted Tech, and what does a day typically look like for you?

“I’m the UK Lead Cloud Support Engineer at Trusted Tech Team, where I oversee a team of Cloud Support Engineers, ensuring smooth ticket flow and delivering top-quality support. My expertise is in Microsoft 365 and key Azure services, and I also help with documentation, training new engineers, and assisting in critical customer discussions.

A typical day involves troubleshooting complex cloud-related issues, mentoring my team, and continuously learning new technologies to stay ahead in the industry. It’s fast-paced, but I love the challenge.

Could you tell us about moving from nursing to the tech sector? What prompted the move?

“My journey into tech was driven by a passion for problem-solving and making a meaningful impact. While working in healthcare, I was involved in the launch of EPIC, a healthcare IT system, and that experience opened my eyes to the power of technology in revolutionising patient care.

“I realised I wanted to be part of that transformation on a larger scale, and cloud computing felt like the perfect fit. It was a tough transition. I started with zero tech knowledge, but I took a leap of faith, studied hard, and earned my certifications. Seven months later, I landed my first cloud engineering role.

Did you have any expectations of what it was going to be like working in tech from a cultural perspective? How did you think it was going to compare to a career like nursing?

Coming from nursing, where teamwork and resilience are essential, I expected tech to be very different – more independent, maybe even a little isolating.

“I also had concerns about facing gender-based challenges when transitioning to tech, as nursing is a heavily female-dominated field where women naturally thrive. I was used to working in an environment that celebrated their success, so I wondered if the same support would exist in tech.

How did it actually stack up?

“It turned out to be quite the opposite. The tech industry is incredibly collaborative, and I’ve found a community of passionate learners who support and uplift each other. There is also strong support for women in the workplace, enabling them to thrive. What I initially assumed might be a challenge has instead been a positive experience. Just like in healthcare, problem-solving under pressure and working as a team are key skills in cloud engineering.

“Of course, the biggest difference is the nature of the work – tech is constantly evolving, and there’s always something new to learn. But that’s what makes it so exciting!

Did more skills from your time as a healthcare worker transfer into the tech sector than expected?

“Absolutely. My nursing background gave me strong problem-solving skills, adaptability, and the ability to remain calm under pressure – traits that are just as valuable in tech.

Empathy has also been a game-changer. Understanding customers’ pain points and being able to explain technical solutions in a way that makes sense to them is crucial. My experience balancing high-stress situations in healthcare has helped me manage challenges in tech with confidence.

The tech sector is facing a pretty well-publicised skills shortage right now. Where do you think the answer to that shortage lies?

“I think the answer lies in looking beyond traditional pathways into tech. There’s a huge pool of talent in other industries – people with transferable skills who just need the right opportunity and support to make the switch.

Companies need to invest in training programs, mentorship, and alternative hiring routes to bring in diverse talent. If we only focus on hiring people with formal tech degrees or years of experience, we’ll keep missing out on incredible problem-solvers from other fields.

What would you say to people with careers that might not, on the face of it, have an obvious transference into the tech space, and who might consider the industry a viable move?

I’d say: If you’re willing to learn, go for it. I started out not even knowing what ‘the cloud’ was, and now I lead a team of engineers!

“Tech is about problem-solving, communication, and adaptability – skills found in so many careers. Whether you come from healthcare, education, customer service, or something else entirely, there’s a place for you in tech. The key is to start learning, connect with mentors, and be persistent.

What would you say to hiring managers and tech leaders about the potential for people from outside tech to be a good fit for the industry? What advantages might they bring to an organisation?

Diversity of thought is one of the biggest strengths a company can have. People from different backgrounds bring fresh perspectives, creative problem-solving skills, and unique ways of thinking about challenges.

For example, my background in nursing means I approach problem-solving with a patient-first mindset – translating that into tech has helped me better understand and support customers. Someone from retail might bring incredible people skills, while a teacher might be a natural communicator and mentor.

If we only hire from traditional tech backgrounds, we limit innovation. The best teams are made up of people who think differently, challenge assumptions, and bring a mix of experiences to the table.

  • People & Culture

Avinav Nigam, CEO & Founder of TERN Group, looks at the growing role of digitalisation in solving key pain points for the social care and health sectors.

The technology landscape evolves at breakneck speed, transforming industries and reshaping possibilities. Yet, the Health and Social Care sector – despite its reputation for cutting-edge advancements in medical treatment – remains hesitant to fully embrace technology in areas critical to its survival: workforce planning and recruitment, and staff retention.

A workforce in crisis

For years, challenges around recruitment and retention have plagued the Health and Social Care system. The Deputy Chief Executive of the Recruitment and Employment Confederation, Kate Shoesmith, has rightly pointed out that decades of underinvestment and poor workforce planning have pushed the sector into crisis. NHS turnover rates are staggering at 32% for domestic staff and 13% for international recruits. This churn creates an unsustainable cycle of vacancies and escalating costs. The result? A staffing model that risks losing even more skilled professionals while financial pressures continue to mount.

To secure the future of Health and Social Care, the sector must move beyond stop-gap solutions. To thrive in the future, it must embrace a sustainable approach that blends technology, ethical practices, and forward-thinking workforce planning.

Embracing technology in health and social care 

Technology offers significant potential to address these challenges. For instance, automation can streamline labour-intensive recruitment processes such as standardising CVs, verifying credentials, and scheduling interviews. This not only reduces administrative burdens but also accelerates the recruitment process, ensuring that care providers can fill vacancies more efficiently. Similarly, digital platforms can support candidates by providing pathways for upskilling, migration assistance, and integration into the workforce.

Such solutions do more than improve efficiency. By focusing on matching the right candidates to the right roles and providing ongoing support to aid retention, technology can create a more stable workforce. This, in turn, enhances continuity of care for patients and reduces reliance on temporary staffing solutions, which are often significantly more expensive.

Staffing, retention, and ethics 

The financial implications of the current staffing crisis are substantial. NHS Trusts spend millions annually on locum and agency staff. For example, a permanent consultant typically costs around £120,000 per year, whereas a locum consultant can cost as much as £203,000 – a difference of over £80,000. Combined with over 100s of locum and external bank staff, that’s a loss of millions per NHS Trust. No wonder the NHS has been spending over £10Bn on agency staff. Similar savings can be achieved across other roles, enabling funds to be redirected towards patient care, facility improvements, and community health services.

Retention is another essential element in resolving the workforce crisis. High turnover rates disrupt care delivery and place additional pressures on remaining staff. Comprehensive strategies to improve retention – such as providing support with housing, finances, mentorship, and community integration – can enhance job satisfaction and encourage long-term commitment. These measures benefit both the workforce and the patients they serve by fostering a stable and cohesive environment.

Ethical considerations also play a vital role in workforce planning, particularly in the context of international recruitment. While global hiring can help address domestic shortages, it is essential to ensure fair treatment of overseas workers. This includes safeguarding their rights and well-being, which ultimately supports the quality of care provided.

What next? 

The Health and Social Care sector faces a critical juncture. Embracing technology and adopting sustainable, ethical workforce practices is key to addressing current challenges and building resilience for the future. At TERN, we’re proud to lead the charge, proving that ethical, tech-driven recruitment solutions are not only viable but essential for the future of care.

The time to act is now. Investing in innovative recruitment and retention strategies isn’t just a matter of economics – it’s a matter of ensuring that Health and Social Care services remain resilient, compassionate, and capable of meeting the challenges of tomorrow.

  • Digital Strategy
  • People & Culture

Chris Meredith, SVP of Business Development (EMEA) at Xsolla, calls on the UK’s video game industry to meet its talent crisis head on.

The UK’s creative industries are a global success story, and the video games sector sits proudly at the forefront. Home to iconic franchises and trailblazing indie studios, this industry exemplifies British creativity and innovation. Yet recent conversations around a so-called “skills shortage” have sparked concern and introspection. While the narrative suggests a lack of talent, the reality is far more nuanced.

At the core of this discussion lies an exciting opportunity to bring fresh talent into the fold and support and upskill seasoned professionals, ensuring the industry remains resilient, balanced, and forward-looking. 

A dynamic industry requires dynamic careers

The video games industry is constantly evolving. New technologies – like artificial intelligence and virtual reality – are reshaping how games are developed and experienced. These rapid advancements highlight the need for ongoing learning – not just for newcomers but also for established professionals. 

Upskilling is key to navigating this fast-changing environment. Experienced developers often bring deep institutional knowledge and creative insight, but they might not always have access to training in the latest tools or techniques. By investing in professional development programmes, the industry can empower seasoned professionals to adapt to new technologies, lead innovation, and mentor the next generation of talent. 

A talent pool with room to grow

The UK is home to an incredible reservoir of creative talent. Our universities are among the best in the world for game design, animation, and software engineering, turning out thousands of graduates each year. Many of these individuals are brimming with ideas and enthusiasm, eager to make their mark. 

However, transitioning from education to employment can be daunting, just like any creative field. The industry has a chance to bridge this gap by offering more structured pathways into the workplace. Initiatives like internships, apprenticeships, and graduate schemes are key to ensuring that fresh talent is identified and nurtured. These programmes provide vital experience while equipping young developers with the skills to thrive in a competitive environment. 

Striking a balance between local and global

The global nature of the video games industry is one of its greatest strengths. Studios collaborate with teams and partners worldwide, tapping into diverse expertise and perspectives. Outsourcing has undoubtedly played a vital role in this success, allowing studios to scale up production and meet ambitious deadlines.

However, there’s also an opportunity to balance the global approach with a stronger focus on domestic talent development. By investing in homegrown skills and retaining certain roles in-house, the industry can ensure a pipeline of opportunities for UK-based professionals. This approach supports the local workforce and strengthens the industry’s foundations for the future.

Embracing change and collaboration

Change is a constant in the creative industries, and the video games sector is no exception. Advances in technology, shifts in consumer preferences, and economic fluctuations all shape the studios’ landscape. Rather than viewing these changes as obstacles, the industry has an opportunity to embrace them as catalysts for growth and evolution.

Collaboration will be key. Partnerships between studios, educational institutions, and government bodies can help ensure that training programmes align with industry needs. Initiatives like the UK Games Fund or Xsolla’s Funding Accelerator, which supports emerging developers, are excellent examples of how targeted investment can make a real difference. By working together, stakeholders can create an ecosystem that meets current demands and anticipates future trends. 

The path forward

The narrative of a “skills shortage” in the UK’s creative industries is less a story of scarcity than one of potential. Talent exists – it simply needs the right environment to flourish. The industry can turn today’s challenges into tomorrow’s successes by focusing on training, career development, and a balanced approach to global collaboration. 

With the right support and vision, there’s no reason why we can’t continue to lead the world in video game development. Far from being a crisis, the so-called skills gap is an opportunity for the industry to come together and shape a future that works – and is accessible – to everyone. By doing so, we can ensure that the UK remains a beacon of creativity and innovation, inspiring players and developers for future generations.

  • People & Culture

Jay Shen, Founder and CEO at Transreport, looks at how to drive accessibility through technology on a global scale.

As we enter 2025, I find myself reflecting on Transreport’s transformative journey from a UK startup to becoming a global leader in accessibility technology. This journey has been both challenging and rewarding. 

At Transreport, we have always viewed accessibility as a fundamental business imperative. This vision has driven us to pioneer solutions which transform global assistance processes, creating more inclusive travel experiences for all.

According to the World Health Organization, 1.3 billion people globally are Disabled, representing 16% of the world’s population. Our commitment to making travel more equitable for all has already driven significant social impact. Specifically, our Passenger Assistance technology facilitated over 2 million inclusive journeys in the UK alone. We continue to expand the reach of our solutions, with noteworthy progress in places like Japan and the Middle East. As we do, we are empowering global industries to streamline services and deliver outstanding experiences to their customers.

Driving Accessibility Impact Through Technology

2024 has been a landmark year for both Transreport and the broader accessibility landscape. The industry witnessed remarkable advancements. For example, Google expanded its Project Relate speech recognition technology for users with speech impairments. Additionally, in a pivotal development, the European Union’s groundbreaking Accessibility Act came into full effect. This legislation has set new standards for digital accessibility. These developments highlight the growing demand for user-centric technology that forefronts accessibility. This, in turn, is reflected in the global market demand for Transreport’s technology.

The success of our expansion derives from our unwavering commitment to co-designing our solutions with disabled people to ensure they deliver optimal value for both our end-users and partners. By embedding lived experience expertise into development, we ensure our technology meets a diverse range of access needs, making it adaptable to different markets and maximising its social impact.

Transreport’s impact was formally recognised at the 2024 Railway Industry Association (RIA) RISE Awards. There, we received the prestigious Equality, Diversity and Inclusion Award. At its core, our technology is about connection and inclusion. As such, it was brilliant to receive this recognition for our EDI initiatives. I was also honoured to receive the Managing Director of the Year Award at the SME News Awards; and Puma Growth Partners, whose investment alongside Pembroke VCT has accelerated our global expansion, won Most Impactful Investment at the Growth Investor Awards for their work with Transreport, underscoring the tangible impact our technology has on travel experiences worldwide.

Transreport’s Global Approach

Our international expansion brought valuable insights about varying regulatory frameworks across different countries. While the UK’s accessibility standards are governed by the Office of Rail and Road (ORR), other regions have different requirements. This highlights the need for an adaptable approach that aligns with unified global standards as we move forward to expanding our services worldwide.

To address this challenge, we introduced our Community Network. This initiative further increases our co-creation and collaboration with global Disabled communities, ensuring our technology continues to effectively address real-world travel needs. The network provides access to diverse perspectives for user-testing, research, and focus groups, while keeping members updated with upcoming feedback opportunities.

Our growth journey has driven significant internal changes to build a more inclusive and sustainable organisation. By eliminating degree requirements for technical roles and focusing instead on practical skills and diverse perspectives, we’ve tapped into a broader talent pool while encouraging innovation through lived experiences. We’ve also strategically expanded our executive leadership team and prioritised hiring regional talent to better serve our global markets.

Additionally, the introduction of our “right to disconnect” policy has had a positive impact on team wellbeing and productivity. We believe it proves that prioritising employee wellbeing is key to driving sustainable growth.

2025 Predictions

Looking ahead to 2025, we will continue to see transformative changes in the accessible travel landscape. Accessibility technology will become mainstream as businesses increasingly reject tick box culture and recognise accessibility as a significant market driver. Technology solutions like ours will therefore evolve beyond specialised tools for a single industry, extending into multiple sectors.

The role of Artificial Intelligence in this transformation is exciting. Leveraging AI and real-time data will allow us to offer more personalised, predictive assistance, enabling us to meet passenger needs with greater efficiency and precision. We will see the widespread adoption of personalised assistance requests, real-time communication between passengers and operators, and recommendations for accessible travel. These advancements will help create a truly seamless experience for all.

In this evolving market, accessibility will not only become a moral imperative but a key differentiator for brands. Consumers will expect inclusion to be embedded into brand identity. Accessibility is more than just a “nice-to-have”; it will be recognised for its competitive advantage, driving loyalty and influencing purchasing decisions.

On a larger scale, I envision Transreport expanding beyond rail and aviation to create a more integrated ecosystem, empowering our end-users to communicate their access needs not just in transport, but across multiple industries globally. By continuing to work closely with our partners, we can drive this shift and create more inclusive experiences for all.

  • Digital Strategy
  • People & Culture

Karl Bagci, Head of Infosec at Exclaimer, looks at the role of AI in fueling data literacy and the future of work.

Data has become an integral part of business operations. In the UK, the data and analytics market is valued at a whopping £15.6Bn. Business leaders increasingly recognise the importance of data as evidence suggests senior executives are relying on analytics now more than ever.  Brands who adopt analytics across their organisation and gain buy-in from all stakeholders generate five times more growth than companies that don’t, showing accessible data serves as a crucial and valuable tool for success.

While data can help brands excel, organisations have historically regarded data analysis as a specialised skill. However, the emergence of AI, which simplifies complex datasets, enables employees across all levels to engage with statistics and contribute to informed decision-making processes. In this article, I will explore how AI is removing barriers to data literacy, allowing employees to effectively use data in their roles, regardless of technical and analytical expertise, and the broader strategic implications of democratising data for businesses. 

Fuelling data literacy with AI 

It is widely recognised that generative AI opens greater possibilities for data storytelling. The right AI tools can transform raw numbers into concise narratives that highlight key trends and anomalies, eliminating the need for technical expertise to interpret complex data. For example, tools like Tableau Pulse or Qlik help businesses to visualise data analytics, translate them into natural language, or even embed them into existing reporting. As a result, more employees in the business can easily access data insights and combine them with their unique expertise to inform decision-making. 

By making data more widely accessible, businesses also pave the way for a more representative and inclusive future, allowing a broader range of employees – especially those from diverse backgrounds- to confidently interpret data insights. Furthermore, democratising data can correlate to better DE&I initiatives, as those who are directly affected by inequalities can now stand at the forefront of data-led decision making and spark conversations around innovative solutions and progressive ideas. 

The broader strategic impact 

As data literacy becomes a core competency across all levels, business leaders are likely to see enhanced company strategy and performance. Building a culture that relies on data-informed decision-making increases accuracy and efficiency, eliminating reliance on guesswork. When employees have access to data, their confidence increases, empowering them with the insights and information they need to perform their best and drive forward plans that work. 

While businesses that prioritise data competency enrich themselves with cultural and performance-related benefits, they also become better positioned to distinguish themselves from competition. Market insights–derived from customer feedback and channel-specific metrics–are invaluable, as they help businesses identify opportunities and provide competitive advantage. A deeper understanding of the landscape equips businesses to attract and convert leads and understand what they need to do to shape future-proof, long-term strategies that keep them ahead of the curve. 

Data literacy and the future of work 

In the coming years, the growing importance of data literacy will extend beyond the realm of data scientists and analytics specialists; it will become a crucial skill for all employees, regardless of their roles. The value of data skills is clear–they empower staff to make informed decisions, understand and interpret data trends, and contribute more effectively to the company’s strategic goals. However, putting these skills into practice is going to become increasingly important in the workplace

Forward-looking businesses can cultivate these skills across their teams, by investing in comprehensive training programs that offer hands-on experience with AI-led data analysis tools and techniques. Encouraging such a culture of continuous learning helps demystify data storytelling and makes it accessible to more people. Additionally, valuing and rewarding data-driven decision-making will motivate employees to develop their data literacy skills. 

By adopting a data-first approach, businesses will not only refine their strategies and market positioning, but also unlock the full potential of their workforce, driving innovation and maintaining a competitive edge in an increasingly data-centric world. As automation and AI become non-negotiables in the workplace, data literacy will be a defining factor in employee success and organisational growth.

  • Data & AI
  • People & Culture

Caroline Carruthers, CEO of Carruthers and Jackson, explores how businesses can prepare for AI adoption.

Since the launch of Chat GPT, companies have been keen to explore the potential of generative artificial intelligence (Gen-AI). However, making the most of the emerging technology isn’t necessarily a straightforward proposition. According to Carruthers and Jackson Data Maturity Index, as many as 87% of data leaders said AI is either only being used by a small minority of employees at their organisation or not at all. 

Ensuring operations can meet the challenges of a new, AI focussed business landscape is difficult. Nevertheless, organisations can effectively deploy and integrate AI by following steps. Doing so will ensure they craft effective, regulatory compliant policies, which are based on clear purpose, the correct tools and can be understood by the whole workforce. 

Rubbish In Rubbish Out 

Firstly, it’s vital for organisations to acknowledge that Data fuels AI. So, without large amounts of good quality data, no AI tool can succeed. As the old adage goes “rubbish in, rubbish out”, and never is this clearer than in the world of AI tools. 

Before you even start to experiment with AI, you must ensure you have a concrete data strategy in place. Once you’ve got your data foundations right, you can worry less about compliance and more about the exciting innovations that data can unlock. 

Identifying Purpose 

External pressure has led to AI seeming overwhelming for many organisations. It’s a brand new technology offering many capabilities, and the urge to rush the purchasing and deploying of new solutions can be difficult to manage. 

Before rolling out new AI tools, organisations need to understand the purpose of the project or solution. This means exploring what you want to get out of your data and identifying what problem you’re trying to solve. It’s important that before rolling out

AI, organisations take a step back, look at where they are currently, and define where they want to go. 

Defining purpose is the ‘X’ at the beginning of the pirates map, the chance to start your journey in the right direction. Vitally, this also means determining what metrics demonstrate that the new technology is working. 

The ‘Gen AI’ Hammer 

While GenAI has dominated headlines and been the focus of most applications so far, different tools and processes are available to businesses. A successful AI strategy isn’t as simple as keeping up with the latest IT trends. A common trap organisations need to avoid falling into is suddenly thinking Gen AI is the answer to every problem they have. For example, I’ve seen some businesses starting to think… ‘everybody’s got a gen-AI hammer so every problem looks like that is the solution you have to use’. 

In reality, organisations require a variety of tools to meet their goals, so should explore different technologies, but also various types of AI. One example is Causal AI, which can identify and understand cause and effect relationships across data. This aspect of AI has clear, practical applications, allowing data leaders to get to the route of a problem and really start to understand the correlation V causation issue. 

It’s easier to explain Causal AI models due to the way in which they work. On the other hand, it can be harder to explain the workings of Gen AI, which consumes a lot of data to learn the patterns and predict the next output. There are some areas where I see GenAI being highly beneficial, but others where I’d avoid using it altogether. A simple example is any situation where I need to clearly justify my decision-making process. For instance, if you need to report to a regulator, I wouldn’t recommend using GenAI, because you need to be able to demonstrate every step of how decisions were made.

Empowering People Is The Key to Driving AI Success 

We talk about how data drives digital but not enough about how people drive data. I’d like to change that, as what really makes or breaks an organisation’s data and AI strategy is the people using it every day. 

Data literacy is the ability to create, read, write and argue with data and, in an ideal world, all employees would have at least a foundational ability to do all four of these things. This requires organisations to have the right facilities to train employees to become data literate, not only introducing staff to new terms and concepts, but also reinforcing why data knowledge is critical to helping them improve their own department’s operations. 

A combination of complex data policies and low levels of data literacy is a significant risk when it comes to enabling AI in an organisation. Employees need clarity on what they can and can’t do, and what interactions are officially supported when it comes to AI tools. Keeping policies clean and simple, as well as ensuring regular training allows employees to understand what data and AI can do for them and their departments. 

Navigating the Evolving Landscape of AI Regulations 

Finally, organisations must constantly be aware of new AI regulations. Despite international cooperation agreements, it’s becoming unlikely that we’ll see a single, global AI regulatory framework. More and more, however, various jurisdictions are adopting their own prescriptive legislative measures. For example, in August the EU AI Act came into force. 

The UK has taken a ‘pro- innovation’ approach, and while recognising that legislative action will ultimately be necessary, is currently focussing on principles-based, non-statutory, and cross-sector framework. Consequently, data

leaders are in a difficult position while they await concrete legislation and guidance, essentially having to balance innovation with potential new rules. However, it’s encouraging to see data leaders thinking about how to incorporate new legislation and ethical challenges into their data strategies as they arise. 

Overcoming the Challenges of AI 

Organisations face an added layer of complexity due to the rise of AI. Navigating a new technology is hard at the best of times, but doing so as both the technology and its regulation develops at the pace that AI is currently developing presents its own set of unique challenges. However, by figuring out your purpose, determining what tools and types of AI work and pairing solid data literacy across an organisation with clean, simple, and up to date policies, AI can be harnessed as a powerful tool that delivers results, such as increased efficiency and ROI.

  • Data & AI
  • People & Culture

Ash Gawthorp, Chief Academy Officer at Ten10, explores how leaders can implement and add value with generative AI.

As businesses race to scale generative AI (gen AI) capabilities, they are confronting a range of new challenges, especially around workforce readiness. The global workforce is now comprised of a mix of generations, and this inter-generational divide brings different experiences, ideas, and norms to the workplace. While some are more familiar with technology and its potential, others may be more skeptical or even cynical about its role in the workplace. 

Compounding these challenges is a growing shortage of AI skills, despite recent layoffs across major tech firms. According to a study, only 1 in 10 workers in the UK currently possess the AI expertise businesses require, and many organisations lack the resources to provide comprehensive AI training. This skills gap is particularly concerning as AI becomes more deeply embedded in business processes. 

Prioritising AI education to close knowledge gaps

A lack of AI knowledge and training within organisations can pose significant risks, including the misuse of technology and the exposure of valuable data. This risk is amplified by a report from Oliver Wyman, which found that while 79% of workers want training in generative AI, only 64% feel they are receiving adequate support, and 57% believe the training they do receive is insufficient. This gap in knowledge encourages more employees to experiment with AI unsupervised, increasing the likelihood of errors and potential security vulnerabilities in the workplace. Hence, to keep businesses competitive and minimise these dangers, it is crucial to prioritise AI education. 

Fortunately, companies are increasingly recognising the importance of upskilling as a strategic necessity, moving beyond viewing it as merely a response to layoffs or a PR initiative. According to a BCG study, organisations are now investing up to 1.5% of their total budgets in upskilling programs.

Leading companies like Infosys, Vodafone, and Amazon are spearheading efforts to reskill their workforce, ensuring employees can meet evolving business needs. By focusing on skill development, businesses not only enhance internal capabilities but also maintain a competitive advantage in an increasingly AI-driven market.

Leaders’ role in driving organisational adoption of generative AI

Scaling generative AI within an organisation goes beyond merely adopting the technology—it requires a cultural transformation that leaders must drive. For businesses to fully capitalise on AI, leadership must cultivate an innovative atmosphere that empowers employees to embrace the changes AI brings.

Here are key considerations for organisational leaders aiming to integrate generative AI into various aspects of their operations:

Encourage employees to upskill 

Reskilling can be demanding and often disrupts the status quo, making employees, , hesitant. To overcome this, organisations should design AI training programs with employees in mind, minimising the risks and effort involved while offering clear career benefits. Leaders must communicate the purpose of these initiatives and create a sense of ownership among the workforce. 

It’s important to emphasise that employees who learn to leverage generative AI will be able to accomplish more in less time, creating greater value for the organisation. All departments, from sales and HR to customer support, can benefit from AI’s ability to streamline tasks, spark new ideas, and enhance productivity. For example, tools like ChatGPT can help research teams analyse content faster or automate responses in customer service, driving efficiency across the board. However, identifying how AI fits within workflows is crucial to fully leveraging its capabilities. 

Empower employees to drive AI adoption and innovation 

To successfully scale generative AI across an organisation, leaders must first focus on empowering employees by aligning AI adoption with clear business outcomes. Rather than rushing to build AI literacy across all roles, it’s important to start by identifying the business objectives AI investments can accelerate. From there, define the necessary skills and identify the teams that need to develop them. This approach ensures that AI training is targeted, practical, and aligned with real business needs.

Equipping teams with the right tools and creating a culture of experimentation empowers employees to innovate and apply AI to solve real-world challenges. It’s also crucial that the tools used are secure and that employees understand the risks, such as the potential exposure of intellectual property when working with large language models (LLMs). 

Focus on leveraging the unique strengths of specialised teams

Historically, AI development was concentrated within data science teams. However, as AI scales, it becomes clear that no single team or individual can manage the full spectrum of tasks needed to bring AI to life. It requires a combination of skill sets that are often too diverse for one person to master and business leaders must assemble teams with complementary expertise.

For example, data scientists excel at building precise predictive models but often lack the expertise to optimise and implement them in real-world applications. That’s where machine learning (ML) engineers step in, handling the packaging, deployment, and ongoing monitoring of these models. While data scientists focus on model creation, ML engineers ensure they are operational and efficient. At the same time, compliance, governance, and risk teams provide oversight to ensure AI is deployed safely and ethically.

Empowering a workforce for AI-driven success

Achieving success with AI involves more than just implementing the technology – it depends on cultivating the right talent and mindset across the organisation. As generative AI reshapes roles and creates new ones, the focus should shift from specific roles to the development of durable skills that will remain relevant in a rapidly changing landscape. However, transformations often face resistance due to cultural challenges, especially when employees feel that new technologies threaten their established professional identities. A human-centered, empathetic approach to learning and development (L&D) is essential to overcoming these challenges. 

Ultimately, scaling AI successfully requires more than just advanced tools; it demands a workforce equipped with the skills and confidence to lead in this new era. By creating an environment that encourages ongoing development, leaders can ensure their teams remain competitive and adaptable as AI continues to transform the business landscape.

  • Data & AI
  • People & Culture

Dr. Andrea Cullen, CEO and Co-Founder at CAPSLOCK, explains why a strong cybersecurity team is a company-wide endeavour.

The most recent ISC2 cyber workforce study found that the global cyber skills gap has increased 19% year-on-year and now sits at 4.8 million. Alongside a smaller hiring pool, tighter budgets and hiring freezes are also adding fuel to the fire when it comes to leaders’ concerns over staffing. They’re navigating hiring freezes and fighting a landscape of competitive salaries. And, once they have the right people in place, the business tasks them with cultivating a culture that encourages retention.

As the c-suite representative of the cyber security function, it would be tempting to place the responsibility on the CISO. But the reality is that they can’t do it alone and organisations shouldn’t expect them to either. Building a workplace that hires and keeps hold of top cyber talent requires the tandem force of HR and CISOs. 

The CISO is an important cultural role model 

The truth is that CISOs – or heads of cyber departments – are under more pressure than ever, fulfilling an already challenging managerial role while experiencing tight financial and human resources. Over a quarter (37%) have faced budget cuts and 25% have experienced layoffs. On top of this, 74% say the threat landscape is the worst they’ve seen in five years. 

Fundamentally, they do not have the bandwidth or indeed, necessarily all the right skillsets, to act as both the technical and people lead. That’s not to say they shouldn’t be in the thick of it with their team, though. They should. But this should focus more on how they can be a strong, present role model for their team and lead from the top to maintain a healthy team culture. Having someone who leads by example is crucial for improving job satisfaction and increasing retention in an intense industry like cyber. 

This could be as simple as championing a good work-life balance to empower their teams to protect their own time outside of work, especially in a career where the workforce often feels pressure to be ‘on’ 24/7. For example, providing the flexibility for their team to work outside of the traditional 9 to 5 hours to be able to pick up children from school if they’re working parents. 

Forming a close ally in HR to build team resiliency 

With job satisfaction in cybersecurity down 4%, there is a need to improve working environments to preserve employees from burnout and encourage top talent to stay. Creating a strong, trusted and inclusive team culture is one way that the CISO can do this. But they should also be forming a close allyship with HR and hiring managers to build further resiliency. In my experience, here are some of the key ways that these two functions can come together to build a robust cyber team: 

Supporting teams with temporary resources

It can be a challenge to alleviate pressure on the team when budgets are constrained – or when there is a flat-out hiring freeze policy across the company. 

However, the CISO and HR must take action so the team doesn’t suffer from burnout or low morale. They can circumnavigate hiring freezes and budget constraints with temporary contractual help. 

Deploying temporary cyber practitioners can be financed through a different “CaPex” budget, rather than permanent staff allocation and saves companies the cost of national insurance and holiday pay for example. 

Looking beyond traditional CVs when hiring

Hiring from a small talent pool and with competitive salaries is difficult. 

That’s why it’s important for cyber and HR leaders not to overlook CVs that may not fit the traditional mould of what a cyber employee looks like. For example, this could be opening up hiring cycles to be more accommodating to career changers with valuable transferrable skills such as communication and teamwork, or those from non-traditional cyber backgrounds such as not having a degree in computer science. 

Identifying appetite for cyber within the business

Leaders can look from within for potential talent to fill much-needed roles. 

For example, individuals responsible for championing cyber best practices in other lines of business might be interested in a career change. Or if redundancies are on the table, it may be a way of keeping loyal staff with business knowledge within the company and cutting out lengthy external hiring processes. 

The CISO and HR team can then work closely to reskill individuals in the technical and impact foundational skills they need. 

Championing diversity of experiences and thinking

To tackle the dangers of cyber-attacks, HR must focus on breaking down barriers in cyber by promoting diversity in skills and backgrounds within their teams. This comes from taking different approaches to hiring. 

This not only broadens the talent pool but also provides unique perspectives on how cyber threats impact different business areas, ultimately creating a more resilient cyber team and strengthening the organisation’s defences. 

Final thoughts 

The CISO must be a dynamic role model. They must drive team culture and values from the top down to foster an environment that motivates and engages their team. They must also collaborate closely with HR to recruit, train, and retain top talent, ensuring the cyber function is well-equipped to tackle the ever-evolving threat landscape.

  • Cybersecurity
  • People & Culture

Roberto Hortal, Chief Product and Technology Officer at Wall Street English, looks at the role of language in the development of generative AI.

As AI transforms the way we live and work, the English language is quietly becoming the key to unlocking its full potential. It’s no longer just a form of communication. The language is now at the heart of a thriving new technology ecosystem. 

The Hidden Code of AI

Behind the ones and zeros, the complex algorithms, and the neural networks, lies the English language. Most AI systems, from chatbots to advanced language models, are built on vast datasets of predominantly English text. This means that English isn’t just helpful for using AI — it’s ingrained in its very fabric. 

While much attention is focused on coding languages and technical skills, there’s a more fundamental ability that’s becoming crucial — proficiency in English. This has long been seen as the language of business, but it’s now fast becoming the main language of communication for data sets in large language modeIs, on which AI is built. 

Opening Doors

The implications of this English-centric AI development are far-reaching. For individuals and businesses alike, a strong command of English can significantly enhance their ability to interact with and leverage these technologies. 

It’s not just about understanding interfaces or reading manuals; it’s about grasping the logic and thought processes that underpin these systems. As generative AI tools develop as the predominant current technology with question and answer style responses, English language is crucial.

Democratising Technology

One of the most exciting prospects on the horizon is the potential for a “no-code” future. As AI systems advance, we’re moving towards a world where complex technological tasks can be accomplished through natural language instructions rather than programming code. And guess what the standard language is?

This shift has the potential to democratise technology, making it accessible to a much wider audience. However, it also underscores the importance of clear communication. The ability to articulate ideas and requirements precisely in English could become a key differentiator in this new technological landscape. 

Adapting to the AI Era

It’s natural to feel some apprehension about the impact of AI on the job market. While it’s true that some tasks will be automated, the new technology is more likely to augment human capabilities rather than replace them entirely. The key lies in adapting our skill sets to complement AI’s capabilities. 

In this context, English proficiency takes on new significance. It’s not just about basic communication anymore; it’s about effectively collaborating with AI systems, interpreting their outputs, and applying critical thinking to their suggestions. These skills are likely to become more valuable across a wide range of industries. 

Learning English in the AI era goes beyond vocabulary and grammar. It’s about understanding the subtleties of how AI tools “think.” This new kind of English proficiency includes grasping AI-specific concepts, formulating clear instructions, and critically analysing tech-generated content. 

The Human Element

As AI takes over routine tasks, uniquely human skills become more precious. The ability to communicate with nuance, to understand context, and to convey emotion — these are areas where humans still outshine machines. Mastering English allows people to excel in these areas, complementing AI rather than competing with it. 

In a more technology-driven world, soft skills like communication will become more critical. English, as a global lingua franca, plays a vital role in fostering international collaboration and understanding. It’s becoming the universal language of innovation, with tech hubs around the world, from Silicon Valley to Bangalore, operating primarily in English. 

While AI tools can process and generate language, it lacks the nuanced understanding that comes from human experience. The ability to read between the lines, and communicate with empathy, and cultural sensitivity remains uniquely human. Developing these skills alongside English proficiency can provide a great advantage in an AI-augmented world. 

The Path Forward

The AI revolution is not just changing what we do — it’s changing how we communicate. English, once just a helpful skill, has become the master key to unlocking the full potential of AI. By embracing English language learning, we’re not just learning to speak — we’re learning to thrive in an AI-driven world. 

For anyone dreaming of being at the forefront of AI development, English language skills are no longer just an advantage — they’re a necessity. 

  • Data & AI
  • People & Culture

Frank Trampert, Global CCO at Sabre Hospitality, explores his organisation’s innovative partnership with Langham Hospitality Group.

With a pedigree that goes back to 1960 — when American Airlines and IBM collaborated to launch the world’s first computerised airline reservation system — Sabre Hospitality has been a driving force behind the meeting of hospitality and technology since 2009. A global technology company committed to constantly evolving and expanding capabilities Sabre Hospitality supports and enables its customers to do more and be more. 

Hosted on Google Cloud, Sabre Hospitality interconnects over 900 connectivity partners all around the world, from online travel agencies to property management system providers, revenue management platform providers, customer relationship management system solution providers, and more. Today, Sabre Hospitality’s purpose-built hotel tech solutions are helping hoteliers to thrive in a rapidly evolving, increasingly competitive market defined by new challenges and new opportunities. 

Frank Trampert, Global Chief Commercial Officer at Sabre Hospitality, has seen shifts in the industry like this before. “In the nineties, the Online Travel Agencies came along and changed the industry. Hotels had to rethink how they connected with customers,” he recalls. Within just a few years, Trampert explains that the industry’s thinking had shifted. “Hotels were thinking more holistically about reaching customers all around the world as new technology opened up these new avenues,” he explains. “I see a similar trend now in the context of merchandising as hotels begin to retail their products and services beyond the guest room.” Of course, he adds, placing the many discrete products, services, and experiences a hotel can offer in front of customers in a more holistic and considered way — much like the transition to online booking in the nineties — is both an organisational and technological challenge.

“Think of it like Amazon Prime,” Trampert says. “If you go hiking and you purchase a tent, then a marketplace like Amazon’s will offer you boots and a torch and a stove as well. Merchandising in the hotel space is heading in the same direction.”

Partnering for success with Langham Hospitality Group   

Long-term Sabre Hospitality partner Langham Hospitality Group is one of the hoteliers exploring the potential of offering more than just a night in a room. “Langham has been a fantastic partner to us since 2009,” says Trampert. “Langham currently leverages a comprehensive suite of Sabre solutions — from booking and distribution to call centre. We enable connectivity for Langham to elevate the guest experience while opening up new retail opportunities to drive additional revenue.” 

One of the biggest challenges organisations face in the hospitality sector is that they are operating in a profoundly fragmented marketplace. The industry’s mixture of global chains, luxurious boutique locations, and everything in between reflects the diverse needs and tastes of the customer base. Not only are customers segmented into more discrete niches than ever before by budget, aesthetic, and experiential preferences, but the channels, platforms, and partners used to manage everything from customer relationships to suppliers and property operations also frequently lack interoperability. Disjointed customer experiences, operational inefficiencies, and all the headaches associated with legacy software make it more challenging than ever for hoteliers to deliver cohesive, personalised experiences their guests expect. In addition to the obvious challenges, it makes it harder for hoteliers to build long-lasting relationships with their customers and create the kinds of personalised, luxury services that keep guests coming back. 

Bundling personalised offers

Now, the two companies are working together to bundle personalised offers tailored to guest preferences that increase the net revenue for Langham’s hotels. As Langham’s innovation team looks beyond the refinement of the group’s existing business models, Sabre Hospitality is helping the global hotel brand explore the potential for new business models, including the possibility that a hotel can merchandise or create experiences beyond selling rooms. “It presents some very new and exciting opportunities for hotels to think beyond the guest room,” Trampert enthuses. “Think about all the other services available in a hotel — the gym, the spa, sauna, restaurants, shopping, and so on. What if you could digitise the merchandising of those services and bring them into the booking path.” Sabre Hospitality and Langham’s latest partnership has done just that, integrating services and experiences beyond traditional room sales into the booking engine. 

“We helped to identify categories of services like early check-in, late checkout, experiences in the hotel itself or in the surrounding area.” By driving merchandising, branded products and services revenue, Sabre Hospitality helped Langham-owned luxury hotel brand Cordis realise a 53% lift in sales around experiences, a 46% lift around merchandising, and a 35% lift in services provided in the hotel. 

“The customer can now make that connection and can see these products and services at the time of booking instead of coming to the hotel then being informed in the hotel about what is available,” Trampert explains. “We have built a product called SynXis Insights, and we are utilising these data components to provide highly actionable insights to hotels, to drive more awareness, to be alert earlier on if certain trends do not materialise.”

An industry leading connectivity hub

Looking to the future, Trampert explains that Sabre Hospitality’s continuing goal is to be an industry leading hub for connectivity and distribution with tools and services that make it easy for hotels to execute their strategic objective”. He concludes: “We have a tremendous opportunity to bring all these partners into a digital marketplace that makes it much easier for hotels to interact with us, their suppliers and partners, further removing barriers to delivering cohesive, personalised experiences to their guests.”

  • Digital Strategy
  • People & Culture

Dave Manning, Chief Information Security Officer at Lemongrass, explores why modern CSIOs are calling for the gamification of cybersecurity practices.

As more businesses embrace the cloud and digital transformation, traditional cybersecurity training methods are becoming increasingly outdated. The rapid emergence of new threats demands a more dynamic approach to security education—one that both informs and engages. Despite numerous bulletins, briefings, and conventional training sessions, the human element remains a critical factor. Human error is a contributing factor to 68% of data breaches. This underscores the urgent need for more innovative cybersecurity training. 

Modern Chief Information Security Officers (CISOs) increasingly advocate for the gamification of cybersecurity training; but what makes gamification so effective, and how can businesses leverage it to enhance their security posture? 

The Challenges of Traditional Training  

The accelerating evolution of technology has outpaced the traditional rote-learning security training methods that many organisations still rely upon. Employees cannot effectively internalise dry security bulletins and briefings, leaving organisations more vulnerable to an increasing range of attacks. 

This lack of readiness is particularly evident during major incidents, when rapid responses are required, and many foundational security assumptions are suddenly found wanting.  How do we correctly authenticate an MFA reset request?  Can we restore our systems from those backups?  How do we know if they’ve been tampered with?  Who is in charge?  How do we pass information, and to whom?  What if this critical SaaS service is unavailable?  Do all our users have access to a fallback system if their primary fails to boot?  What are our reversionary communications channels?

In such a crisis, organisations may be forced to rely on non-technical personnel to execute complex procedures or to effectively communicate complex messages to other users – tasks for which they are typically unprepared. This disconnect between policy and reality demands a new approach — one that actively engages employees in the learning process so that they are practiced and experienced when it really matters.

Gamifying Cybersecurity Training 

Gamification turns passive learning into an interactive experience where employees can apply their knowledge in simulated environments and adds a healthy element of competition to reward desirable behaviours. Gamified training can include exercises tailored to the specific challenges a particular environment presents – simulations focused on threats to critical SAP systems, data theft, and ransomware scenarios. 

These exercises provide a safe space for employees to practice securing their environments, ensuring they can manage and protect critical systems like SAP in real-world scenarios. Mistakes during these exercises serve as crucial learning opportunities without any real-world impact, helping employees avoid these errors when it matters most. 

By making security training more engaging, organisations can increase participation, improve knowledge retention, and ultimately reduce the potential for human error. 

Capture the Flag (CTF) Exercises: The Value of Hands-On Learning 

One particularly effective gamification approach is Capture the Flag (CTF). These exercises allow participants to play at being the bad guys. Knowing your enemy and how they operate makes you a much more effective defender.  And most importantly – it’s fun!

CTF exercises are particularly valuable in teaching technical security fundamentals and providing hands-on experience with modern threats. This practical approach bridges the gap between theoretical knowledge and its real-world application. It ensures that employees are better prepared to respond swiftly and effectively when an actual threat materialises. 

Fostering Competition while Improving Compliance 

Gamified training can significantly enhance compliance by turning dry, mandatory protocols into engaging, interactive experiences.  Employees are naturally motivated to adhere more-closely to the organisation’s security policies when they are scored against their peers. 

By regularly updating leaderboards and recognising top performers, organisations create a culture where applying the correct security controls is no longer an onerous requirement but becomes a rewarding habit.  

Gamifying the Path Forward  

In today’s fast-paced digital environment, innovative cybersecurity training methods are essential for companies to maintain their defensive edge. Traditional approaches no longer suffice to prepare employees to face today’s sophisticated threats. Gamification offers a solution that educates and engages, ensuring that security knowledge is engrained and applied effectively.  

As organisations implement new technologies, their security challenges evolve. Gamified training offers the flexibility to adapt, ensuring that employees remain proficient in managing and protecting critical cloud and SAP systems. This ongoing evolution of training keeps the workforce informed about the latest threats and security protocols. This, in turn, helps the organisations maintain a strong security posture even as technology shifts.  

By integrating gamified training into their cybersecurity strategies, organisations can reduce human error, improve compliance, and strengthen their overall security posture. Adopting gamified training is an important element of building a security-aware culture that is equipped to handle tomorrow’s challenges.

  • Cybersecurity
  • People & Culture

This month’s cover story throws the spotlight on the ground-up technology transformation journey at Lanes Group – a leading water…

This month’s cover story throws the spotlight on the ground-up technology transformation journey at Lanes Group – a leading water and wastewater solutions and services provider in the UK.

Welcome to the latest issue of Interface magazine!

Read the latest issue here!

Lanes Group: A Ground-Up Tech Transformation

In a world driven by transformation, it’s rare a leader gets the opportunity to deliver organisational change in its purest form… Lanes Group – the leading water and wastewater solutions services provider – has started again from the ground up with IT Director Mo Dawood at the helm.

“I’ve always focused on transformation,” he reflects. “Particularly around how we make things better, more efficient, or more effective for the business and its people. The end-user journey is crucial. So many times you see organisations thinking they can buy the best tech and systems, plug them in, and they’ve solved the problem. You have to understand the business, the technology side, and the people in equal measure. It’s core to any transformation.”

Mo’s roadmap for transformation centred on four key areas: HR and payroll, management of the group’s vehicle fleet, migrating to a new ERP system, and health and safety. “People were first,” he comments. “Getting everyone on the same HR and payroll system would enable the HR department to transition, helping us have a greater understanding of where we were as a business and providing a single point of information for who we employ and how we need to grow.”

Schneider Electric: End-to-End Supply Chain Cybersecurity

Schneider Electric provides energy and digital automation and industrial IoT solutions for customers in homes, buildings, industries, and critical infrastructure. The company serves 16 critical sectors. It has a vast digital footprint spanning the globe, presenting a complex and ever-evolving risk landscape and attack surface. Cybersecurity, product security and data protection, and a robust and protected end-to-end supply chain for software, hardware, and firmware are fundamental to its business.

“From a critical infrastructure perspective, one of the big challenges is that the defence posture of the base can vary,” says Cassie Crossley, VP, Supply Chain Security, Cybersecurity & Product Security Office.

“We believe in something called ‘secure by operations’, which is similar to a cloud shared responsibility model. Nation state and malicious actors are looking for open and available devices on networks. Operational technology and systems that are not built with defence at the core and not normally intended to be internet facing. The fact these products are out there and not behind a DMZ network to add an extra layer of security presents a big risk. It essentially means companies are accidentally exposing their networks. To mitigate this we work with the Department of Energy, CISA, other global agencies, and Internet Service Providers (ISPs). Through our initiative we identify customers inadvertently doing this we inform them and provide information on the risk.”

Persimmon Homes: Digital Innovation in Construction

As an experienced FTSE100 Group CIO who has enabled transformation some of the UK’s largest organisations, Persimmon Homes‘ Paul Coby knows a thing or two about what it takes to be a successful CIO. Fifty things, to be precise. Like the importance of bridging the gap between technology and business priorities, and how all IT projects must be business projects. That IT is a team sport, that communication is essential to deliver meaningful change – and that people matter more than technology. And that if you’re not scared sometimes, you’re not really understanding what being the CIO is.

“There’s no such thing as an IT strategy; instead, IT is an integral part of the business strategy”

WCDSB: Empowering learning through technology innovation

‘Tech for good’, or ‘tech with purpose’. Both liberally used phrases across numerous industries and sectors today. But few purposes are greater than providing the tools, technology, and innovations essential for guiding children on their educational journey. Meanwhile, also supporting the many people who play a crucial role in helping learners along the way. Chris Demers and his IT Services Department team at the Waterloo Catholic District School Board (WCDSB) have the privilege of delivering on this kind of purpose day in, day out. A mission they neatly summarise as ‘empower, innovate, and foster success’. 

“The Strategic Plan projects out five years across four areas,” Demers explains. “It addresses endpoint devices, connectivity and security as dictated by business and academic needs. We focus on infrastructure, bandwidth, backbone networks, wifi, security, network segmentation, firewall infrastructure, and cloud services. Process improvement includes areas like records retention, automated workflows, student data systems, parent portals, and administrative systems. We’re fully focused on staff development and support.”

Read the latest issue here!

  • Data & AI
  • Digital Strategy
  • People & Culture

Toby Alcock, CTO at Logicalis, explores the changing nature of the CIO role in 2025 and beyond.

For years, businesses have focused heavily on digital transformation to maintain a competitive edge. However, with technology advancing at breakneck speed, the influence of digital transformation has changed. Over the past five years, there have been massive shifts in how we work and the technologies we use, which means leading with a tech-focused strategy has become more of a baseline expectation than a strategic differentiator.

Now, IT leaders must turn their attention to new upcoming technologies that have the potential to drive true innovation and value to the bottom line. These new tools, when carefully aligned with organisational goals, hold the potential to achieve the next level of competitive advantage.

Leveraging new technologies, with caution 

In this post-digital era, the connection between technology and business strategy has never been more apparent. The next wave of advancements will come from technologies that create new growth opportunities. However, adoption must be strategic and economically viable in order to successfully shift the dial.

The Logicalis 2024 CIO report highlights that CIOs are facing internal pressure to evaluate and implement emerging technologies, despite not always seeing a financial gain. For example, 89% of CIOs are actively seeking opportunities to incorporate the use of Artificial Intelligence (AI) in their organisations, yet most (80%) have yet to see a meaningful return on investment.

In a time of global economic uncertainty, this gap between investment and impact is a critical concern. Failed technology investments can severely affect businesses so the advisory arm of the CIO role is even more vital.

The good news is that most CIOs now play an essential role in shaping business strategy, at a board level. Technology is no longer seen as a supporting function but as a core element of business success. But how can CIOs drive meaningful change?

1. Keeping pace with innovation

One of the most beneficial things a CIO can do to successfully evaluate and implement meaningful change is to an eye to industry. Technological advancement is accelerating at unprecedented speed, and the potential is vast. By monitoring early adopters, keeping on top of regulatory developments, and being mindful of security risks, CIOs can make calculated moves that drive tangible business gains while minimising risks. 

2. Elevating integration

Crucially, CIOs must ensure that technology investments are aligned with the broader goals of the organisation. When tech initiatives are designed with strategic business outcomes in mind, they can evolve from novel ideas to valuable assets that fuel long-term success.

3. Letting the data lead

To accelerate innovation, CIOs need clear visibility across their entire IT landscape. Only by leveraging the data, can they make informed decisions to refine their chosen investments, deprioritise non-essential projects, and eliminate initiatives that no longer align with business goals.

Turning tech adoption into tangible business results

In an environment overflowing with new technological possibilities, the ability to innovate and rapidly adopt emerging technologies is no longer optional—it is essential for survival. To stay ahead, businesses must not just embrace technology but harness it as a powerful driver of strategic growth and competitive advantage in today’s volatile landscape.

CIOs stand at the forefront of this transformation. Their unique position at the intersection of technology and business strategy allows them to steer their organisations toward high-impact technological investments that deliver measurable value. 

Visionary CIOs, who can not only adapt but lead with foresight and agility, will define the next generation of industry leaders, shaping the future of business in this time of relentless digital evolution.

  • Data & AI
  • People & Culture

Sam Burman, Global Managing Partner at Heidrick & Struggles interrogates the search for the next generation of AI-native graduates.

The global technology landscape is undergoing radical transformation. With an explosion in growth and adoption of emerging technologies, most notably AI, companies of all sizes across the world have unwittingly entered a new recruitment arms race as they fight for the next generation of talent. Here, organisations have reimagined traditional career progression models, or done away with them entirely. Fresh graduates are increasingly filling vacancies on higher rungs of the career ladder than before. 

This experience shift presents both challenges and opportunities for organisations at every level of scale, and decisions made for AI and technology leadership roles in the next 18 months may rapidly change the face of tomorrow’s boardroom for the better.

A new world order

First and foremost, it is important to dispel the myth that most tech leaders and entrepreneurs are younger, recent graduates without traditional business experience. Though we immediately think of Steve Jobs founding Apple aged 21, or Mark Zuckerberg founding Facebook at just 19 years old, they are undoubtedly the exception to the rule. 

Harvard Business Review found that the average age of a successful, high-growth entrepreneur was 45 years old. Though it skews slightly younger in tech sectors, we know from our own work that tech CEOs are, on average, 47 years of age when appointed. 

So – when we have had years of digital transformation, strong progress towards better representation of technology functions in the boardroom, and significant growth in the capabilities and demands on tech leaders, why do we think that AI will be a catalyst for change like nothing we have seen before? The answer is simply down to speed of adoption.

Keeping pace with the need for talent

For AI, in particular, industry leaders and executive search teams are finding that the talent pool must be as young and dynamic as the technology. 

The requirement for deep levels of expertise in relation to theory, application and ethics means that PhD and Masters graduates from a wide range of mathematics and technology backgrounds are increasingly being relied on to advise on corporate adoption by senior leaders, who are often trying to balance increasingly demanding and diverse challenges in their roles. 

The reality is that, today, experienced CTOs, CIOs, and CISOs have invaluable knowledge and insights to bring to your leadership team and are critical to both grow and protect your company. However, they are increasingly time-poor and capability-stretched, without the luxury of time to unpack the complexities of AI adoption while keeping their existing responsibilities at the forefront of capability for their businesses’ needs. 

The exponential growth and transformative potential of AI technology demand leaders who are not only well-versed in its nuances but also adaptable, innovative, and open to new perspectives. When you add shareholder demand and investor appetite for first movers, it seems like big, early decisions on AI adoption and integration could set you so far ahead of your competitors that they may never catch up.

Give and take in your leadership team 

Despite the decades of experience that CTOs, CIOs, and CISOs bring to your leadership dynamic, fresh perspectives can bring huge opportunities – especially when it comes to rapidly developing and emerging tech. Those with deep technical expertise, who are bringing fresh perspectives and experiences into increasingly senior roles, may prove a critical differentiation for your business.

Agile players in the tech space are already looking to the world’s leading university programs to find talent advantage in this increasingly competitive landscape. These programs are fostering a new generation of potential tech leaders, who have been rooted in emerging technologies from inception. We are increasingly seeing companies partner with universities to create a talent pipeline that aligns with their specific needs. This mutually benefits companies, who have access to the best and brightest tech minds, and universities, by ensuring a clear focus on in-demand skills in the education system.

The remuneration statistics reflect this scramble for talent, as well as the increasingly innovative approaches to finding it. Compensation is increasing in both the mature US market, and the EU market, as companies seek to entice new talent pools to meet the increasing demands for emerging technology expertise.

AI talent in the Boardroom

While AI adoption is undoubtedly critical to future-proofing businesses in almost every sector, few long-standing business leaders, burdened with the traditional and emerging challenges of running successful businesses, have the luxury of time, focus, or resources to understand this cutting-edge technology at the levels required. The best leadership teams bring together a mix of skills, experience, and backgrounds – and this is where AI-native graduates can add real value.

From dorm rooms to boardrooms, the next generation of tech leaders is here. The transition from traditional, experienced leadership to a more diverse, tech-savvy talent pool is essential for companies looking to thrive in the modern world. The integration of fresh talent with the wisdom of experienced leaders creates a contrast that is the key to success in the AI-driven world.

Sam Burman is Global Managing Partner for AI and Tech Practices at leading executive search firm Heidrick & Struggles.

  • Data & AI
  • People & Culture

Mike Britton, CISO at Abnormal Security, tackles the threat of file sharing phishing attacks and how to stop them from harming your organisation.

File-sharing platforms have seen a huge boost in recent years as remote and hybrid workers look for efficient ways to collaborate and exchange information – it’s a market that’s continuing to grow rapidly, expected to increase by more than 26% CAGR through to 2028

Tools like Google Drive, Dropbox, and Docusign have become trusted, go-to tools in today’s businesses. Cybercriminals know this and unfortunately, they are finding ways to take advantage of this trust as they level up their phishing attacks. 

According to our recent research, file-sharing phishing attacks – whereby threat actors use legitimate file-sharing services to disguise their activity – have tripled over the last year, increasing 350%.

These attacks are part of a broader trend we’re seeing across the threat landscape, where cybercriminals are moving away from traditional phishing attacks and toward sophisticated social engineering schemes that can more effectively deceive human targets, while evading detection by legacy security tools. 

As employees become more security conscious, attackers are adapting. The once telltale signs of phishing, like poorly written emails and the inclusion of suspicious URLs, are quickly fading as cybercriminals shift to more subtle and advanced tactics, including exploiting file-sharing services.   

So, what do these attacks look like? And what can organisations do to prevent them? 

How file-sharing phishing attacks work

All phishing attacks are focused on exploiting the victim’s trust, and file-sharing phishing is no different. In these attacks, threat actors impersonate commonly used file-sharing services and trick targets into sharing their credentials via realistic-looking login pages. In some cases, cybercriminals even exploit real file-sharing services by creating genuine accounts and sending emails with legitimate embedded links that lead them to these fraudulent pages, or otherwise expose them to harmful files. 

They will often use subject lines and file names that are enticing enough to click without arousing suspicion (like “Department Bonuses” or “New PTO Policy”).  Plus, since many bad actors now use generative AI to craft their communications, phishing messages are more polished, professional, and targeted than ever.

We found that approximately 60% of file-sharing phishing attacks now use legitimate domains, such as Dropbox, DocuSign, or ShareFile, which makes these attacks especially challenging to detect. And since these services often offer free trials or freemium models, cyber criminals can easily create accounts to distribute attacks at scale, without having to invest in their own infrastructure. 

While every industry is at risk for file-sharing phishing attacks, we found that certain industries were easier to target than others. The finance sector, for example, frequently uses file-sharing and e-signature platforms to exchange documents with partners and clients, and usually amid high pressure, fast moving transactions. File-sharing phishing attacks that appear time sensitive and blend in seamlessly with legitimate emails are unlikely to raise red flags.

Why file-sharing phishing attacks are so challenging to detect

File-sharing phishing attacks demonstrate just how effective (and dangerous) social engineering can be. Because these attacks appear to come from trusted senders and contain seemingly innocuous content, they feature virtually no indicators of compromise, leading even the most security conscious employees to fall for these schemes.

And it’s not just humans that these attacks are deceiving. Without any malicious content to flag, these attacks can also bypass traditional secure email gateways (SEGs), which rely on picking up on known threat signatures such as malicious links, blacklisted IPs, or harmful attachments. Meanwhile, socially engineered attacks that appear realistic—including those that exploit legitimate file-sharing services—slip through the cracks. 

A modern approach to mitigating social engineering attacks

While security education and awareness training will always be an important component of any cybersecurity strategy, the rate at which social engineering attacks are advancing means that organisations can no longer depend on awareness training alone. 

It’s time that we rethink their cyber defence strategies, focusing on capabilities to detect the more subtle, behavioural signs of social engineering, rather than spotting the most obvious threats.

Advanced threat detection tools that employ machine learning, for example, can analyse patterns around a user’s typical interactions and communication patterns, email content, and login and device activity, creating a baseline of known-good behaviour. Advanced AI models can then detect even the slightest deviations from that baseline, which might signal malicious activity. This allows security teams to detect the threats that signature-based tools (and their own employees) might miss. 

As cybercriminals continue to evolve their attack tactics, we have to evolve our cyber defences in kind if we hope to keep pace. The static, signature-based tools of yesterday simply can’t keep up with how quickly social engineering techniques are advancing. The organisations that embrace modern, AI-powered threat detection will be in the best position to enhance their resilience against today’s – and tomorrow’s – most complex attacks.

  • Cybersecurity
  • People & Culture

Jake O’Gorman, Director of Data, Tech and AI Strategy at Corndel, breaks down findings from Corndel’s new Data Talent Radar Report.

Data, digital, and technology skills are not just supporting the growth strategies of today’s leading businesses—they are the driving force behind them. Yet, it’s well-known that the UK has been battling with a severe skills gap in these sectors for many years, and as demand rises, retaining that talent is becoming a critical challenge for business leaders.

The data talent radar report 

Our Data Talent Radar Report, which surveyed 125 senior data leaders, reveals that the current turnover rate in the UK’s data sector is nearing 20%—significantly higher than the broader tech industry average of 13%. Even more concerning, one in ten data professionals we polled said they are exploring entirely different career paths within the next 12 months, suggesting we’re at risk of a data talent leak in an already in-demand sector of the UK’s workforce. 

For many organisations, the response has been to raise salaries. However, such approaches are often unsustainable and can have diminishing returns. Instead, data leaders must pursue deeper, more enduring strategies to keep their teams engaged and foster loyalty.

Finding the right talent 

One of the defining characteristics of a successful data professional is curiosity. David Reed, Chief Knowledge Officer at Data IQ writes in the report, “After a while in any post, [data professionals] will become familiar—let’s say over-familiar—with the challenges in their organisation, so they will look for fresh pastures.” Curiosity and the need to solve new problems are at the heart of retaining top talent in the data field.

Experts say that internal change must always exceed the rate of external change. Leaders who understand this tend to focus not only on external rewards but also on fostering environments where such growth is inevitable, giving their teams the tools to stretch themselves and tackle new challenges. Without such opportunities, even the most talented professionals may stagnate, curiosity dulled by a lack of engaging problems. 

The reality is that as a data professional, your future value—both to you and your organisation—rests on a continuously evolving skill set. Learning new technologies, languages and approaches is an investment that both can leverage over time. Stagnation is a risk not only for professional satisfaction but also for your organisation’s innovative capacity.

This isn’t a new issue. Our report found that senior data leaders are spending 42% of their time working on strategies to keep their teams motivated and satisfied. After all, it is hard to find a company that doesn’t, somewhere, have an over-engineered solution built by an eager team member keen to experiment with the latest tech.

More than just the money 

While financial compensation is undoubtedly important, it is not the sole factor that keeps data professionals loyal. In our pulse survey, less than half of respondents said they would leave their current role for higher pay elsewhere. Instead, 28% cited a lack of career growth opportunities as their primary reason for moving, while one in four said a lack of recognition and rewards played a role. With recent research by Oxford Economics and Unum placing the average cost of turnover per employee at around £30,000, there is value in getting these strategies right. 

What emerges from these findings is that motivation in the data field is highly correlated to growth, both personal and professional. Leaders need to offer development opportunities that allow their teams to stay engaged, productive, and satisfied. Without such development, employees risk feeling obsolete in a rapidly evolving landscape.

In addition to continuous development, creating an effective workplace culture is essential. Our study reinforced that burnout is highly prevalent in the data sector, exacerbated by the often unpredictable nature of technical debt combined with historic under-resourcing. Data teams work in high-stakes environments, and need can quickly exceed capacity without proper support.

After all, in software-based roles, most issues and firefighting tend to cluster around updates being pushed into production—there’s a clear point where things are most likely to break. Yet in data, problems can emerge suddenly and unexpectedly, often due to upstream changes outside formal processes. These types of occurrences rarely come with an ability to easily roll back such changes. As such, dashboards and other downstream outputs can be impacted, disrupting organisational decision-making and leaving data teams, especially engineers, scrambling to find a fix. It’s perhaps unsurprising that our report shows 73% of respondents having experienced burnout. 

Beating the talent crisis long term 

Building a resilient data function requires more than hiring the right people; it necessitates creating frameworks that can handle such unpredictable challenges. Without the right structures—such as data contracts and proper governance—even the most skilled data teams will find themselves struggling. 

To succeed in the long term, organisations need to not only address current priorities but also invest in building pipelines of future talent. Programmes like apprenticeships offer an excellent way for early-career professionals and skilled team members to gain formal qualifications and receive high-quality support while contributing to their teams. Companies implementing programmes like these can build a steady flow of experienced professionals entering the organisation whilst earning valuable loyalty from those team members who have been supported from the very start of their careers.

By establishing meaningful structures and opportunities, organisations not only reduce turnover but drive long-term innovation and growth from within. Such talent challenges, while difficult, are by no means insurmountable. 

As the demand for data expertise rises and organisations increasingly recognise the transformative impact of these skills, getting retention strategies right has never been more crucial. For those who get this right, the rewards will be significant.

  • Data & AI
  • People & Culture

Paul Ducie, partner at Oliver Wight EAME, explores how to avoid staff burnout created by the overzealous adoption of AI.

Over the last two years, many businesses have been sold on the benefits of AI. The technology is supposed to deliver higher productivity at lower cost. What’s not to like? However, a growing number of organisations are reporting that poor planning and implementation are creating additional tension in the workplace. Staff burnout rates are increasing and customer relationships are being damaged.  

Major decisions on implementing AI are made at the top by the senior team based on optimistic, unsubstantiated business cases. AI promises greater productivity at a significantly lower cost.  

But, in many cases, the gains are oversold. Already, several household names who have invested in AI are scaling back or stopping investment programmes based on unsuccessful trials.

Problems may include:

Middle management burn-out from devising and deploying AI.  

With AI implementation programmes, we have teams being given little or no training and expected to deliver a major change programme. These underpinned by potentially unrealistic project and operational expectations from senior management.  

It is a case of history repeating itself. There are strong parallels to previous implementations of ERP systems circa 20 years ago. Those too were characterised by oversold benefits, lack of relevant education and problems from automating poor processes. But this time the pressure is even greater, thanks to a significant cost of AI solutions, combined with the push to deliver higher productivity gains within unrealistic timeframes.

Employee burn-out from dealing with the problems when the productivity gains fail to appear.   

As with previous technology implementations, people are not being given the skills and training to properly implement the changes. Additionally, they are also having to deal with the consequences of the change programme’s poor implementation and subsequent performance. Therefore, we’re seeing an understandable backlash from employees against the drive for productivity. Not only are people in affected areas feeling less-and-less valued, but they also recognise that often they are now competing against the AI engine and being given unachievable targets to hit.

Customer service deterioration.   

What is your business trying to achieve with AI in customer service, such as with chatbots and AI assistants? Is it improved customer service or is it reduced overhead? Most businesses claim the former when really they are driven by the latter.  

Businesses using AI to reduce the cost of customer service are allowing AI to dictate how they operate.   

We are seeing companies forge ahead with implementing AI without sufficient consideration for how they seek to differentiate themselves in the marketplace. When they fail to provide the necessary training and change management support to their staff, customer service levels and ultimately profitability drop while your best staff leave. A perfect doom loop.

What should businesses do to make their AI work: Humans first

Whether you have already introduced AI or are just investigating, you need a “humans first” approach. It is the quality of your employees and customer relationships that matter. AI has all the potential to help enhance these… and to also destroy them irretrievably!

If you’re at the investigation phase make sure any proposed implementation is treated with a healthy dose of scepticism. Interrogate the ability of the technology to meet the improvement goals. Also, look at the unexpected costs, proposed ROI and, most importantly, what are you risking in terms of human capital and customer service if poorly designed and implemented. Ultimately, your profits will be delivered by your customers. So, take the time to deeply consider how your AI will impact how your customers think about your brand. After all, we know from bitter personal ChatBot experience that we’d much rather speak to a human to get anything more than a minor problem solved.

If AI is already in place, to get its benefits you may have to re-engineer with the involvement of those who are expected to deliver the productivity gains. To successfully implement an AI capability that will drive true competitive advantage, the investment in change management must be your priority, supporting your people so that they understand the reasoning for the change and will ultimately be prepared to own the productivity improvement targets sought by the business.  

Your people need to see how the integration of AI into their working life will make them more effective and successful, not subservient to the machine, with them being able to employ it as a trusted co-pilot to enhance business performance while making the working day better for all employees.

  • AI in Procurement
  • People & Culture

Colin Redbond, Global SVP for Product and Strategy at SS&C Blue Prism, breaks down the myth of the “must-have” CAO.

Automation is critical for companies fighting to stay competitive, so to help navigate the digital era, more organisations are realising the importance of senior executive oversight and sponsorship of automation initiatives.

The recent suggested need for a Chief Automation Officer (CAO) position stems from the rapid widespread recognition of the pivotal role that automation plays in reshaping business operations and enhancing efficiency. But while organisations recognise process automation as a central element in the digital transformation strategies of 70% of organisations, according to the Wall Street Journal, we’ve been here before. 

When it comes to tech, one minute you’re the doyen of the CRM or P2P worlds, and the next we’ve moved to blockchain and augmented reality. Instead of pouring new resources and energy into new roles that are created off the back of hype, the situation demands is executive sponsorship and leadership of advanced automation programs at the highest and most influential levels, aided by the appropriate business knowledge and network to be able to drive real change.

Meaningful change or just the latest trend?

If you’re serious about automation, you need to embed it into a primary C-suite role that’s not temporary. That person needs to be able to tie-in and put in place tasks or projects across the organisation.

Your automation champion needs to be a senior leader who drives digital transformation by optimising resources and able to keep pace with changing customer demands, and fluid market and technology dynamics. They’re also the pathway to efficiency and agility, streamlining workflows, helping the organisation allocate resources to focus on higher value activities, while maintaining compliance according to internal and external policies.

To succeed and unleash the full potential of intelligent automation (IA), organisations need to foster collaborations with their sales, finance, compliance, legal and other functions, as they deploy automation to boost productivity and revenue opportunities across the enterprise. It demands strategic vision, cross-functional collaboration, and a deep understanding of the business’ digital infrastructure.

This is where your product and IT support teams become indispensable. With a top down mandate from your CIO / CTO and CEO, everyone becomes lase focused on faster concrete outcomes. They can therefore capitalise on synergies as internal communication channels are more open and have less barriers to overcome. And if you’re working in a constantly changing fast-moving market, as you automate, you’re more flexible and better able to control and direct customer conversations based on outcomes when scaling digital workers.

The Importance of Prioritising Automation at C-level

The success stories of companies that have embraced automation underscore the transformative potential of strategic automation initiatives. Take, for example, Zurich UK, which identified intelligent automation as a solution to enhance efficiency and bridge process gaps. By prioritising automation at the executive level and investing in teams, the company streamlined operations, allowing frontline staff to prioritise exceptional customer service.

This is all great, but the journey to automation excellence requires more than just deploying digital workers or implementing robotic process automation (RPA) tools. Zurich is a great way of showing how you take a non-traditional IT approach embracing business and operations, and in the process build a multifaceted team with a unique blend of skills, including a deep understanding of technology, business acumen, and change management expertise.

Able to align automation initiatives with business objectives and drive organisational change, they can constantly identify areas ripe for automation, prioritising initiatives based on their potential impact and securing executive buy-in for automation investments. Moreover, they play a pivotal role in fostering a culture of innovation and continuous improvement, where organisations embrace automation as a strategic enabler of business growth.

Build Your ‘E-Suite’ with An Eye on the Future

Placing automation directly in the boardroom signals a paradigm shift in managerial leadership, but it also raises questions about the requisite skills and qualifications.

While a CAO sounds great in principle, you need a diverse skill set encompassing technology, business strategy, and change management gained from a process management and IT systems background and a diverse network and knowledge of the business and IT environment.

In most cases, your CIO and / or CTO is the orchestrator of automation initiatives, driving alignment between technology investments and business objectives, understanding of both the technical aspects of automation and the strategic imperatives driving business transformation. They may choose to identify a dedicated role within their leadership team, but will have the overall mandate, breadth of influence and knowledge to drive true transformational and cross departmental change.

Looking ahead, automation is poised to become an increasingly critical part of your organisation as it continues to evolve. With the proliferation of technologies such as artificial intelligence (AI), RPA, and process orchestration, the scope of automation initiatives will only expand. As such, organisations that invest in building automation capabilities and placing automation leadership within the primary C-suite will be best positioned to thrive in the digital age.

The need for top-down thinking and sponsorship underscores the strategic importance of automation in driving digital transformation and business success. By doing so, organisations can accelerate innovation, optimise operations, and gain a competitive edge in today’s fast-paced business environment.

  • Digital Strategy
  • People & Culture

Joe Miller, Product Manager at Zengenti, creators of Contensis, dives into ways to overcome resistance to digital transformation.

The term ‘digital transformation’ has been well-used in marketing communications and strategy meetings for a long time – and for good reason. For a business, digital transformation can lead to increased revenue, improved customer experience, and greater efficiency, among other benefits. It’s therefore no surprise that 91% of businesses are currently undergoing some form of digital initiative. Similarly, 87% of senior business leaders say digitalisation is a priority, according to Gartner

However, while there is a consensus among senior leaders about the value of digital transformation, it doesn’t mean it will resonate with everyone in an organisation. Indeed, resistance to change can be one of the biggest roadblocks a business faces when undergoing a digital overhaul

Rather than accepting this as part and parcel of their digital transformation journey, there are simple steps businesses can take to ensure they reap the rewards of a smooth transition. 

A new state of play

Contrary to common perception, staff working in organisations undergoing digital transformation won’t just need to learn how to use new digital tools, but change their mindsets and traditional ways of working, too. 

While tech-savvy members of the team will often wholeheartedly embrace the shift, others might be understandably concerned about what it means for them.

Some will question whether they have the right digital skills, and if automation and the use of AI in particular, could render their role redundant. Others may simply be uninterested in the entire process. They might see it as an unnecessary disruption to their working day when current processes have worked perfectly well before.

Here, it’s important to communicate the benefits of digital transformation amid the changing business landscape. Almost everyone now needs to adopt a data-driven approach to business processes to make meaningful decisions. Traditional departmental silos could be broken down and replaced by cross-functional collaborative teams on some projects. 

Communication is key 

Communication is the hallmark of both successful digital transformation strategies and a healthy organisational culture.

Not everybody needs to know everything straight away, nor in as much detail as senior stakeholders in the business. But, with a clear plan and regular updates, setting out the vision and what it means for each team should help to allay any concerns and ensure they’re fully onboard with implementing the technology and training.

Empowering digital transformation champions is a good way to cascade skills and knowledge across the business. These champions provide a point of contact for people to ask questions and see the software used day-to-day.

A personalised approach

Digital transformation has become a catch-all term, but it means different things depending on the type of organisation and sector it occurs in. Bsiness leaders regularly cite efficiency and productivity as benefits, but it’s important to turn the focus on what they could help the business achieve.

For our Canadian community member, OMAFRA (Ontario Ministry of Agriculture, Food and Rural Affairs), a new CMS has ultimately helped farmers save money and reduce their use of pesticides – tangible outcomes that resonate with people.

There’s also the significant cultural impact this digital transformation project has had on OMAFRA’s stakeholders – farmers. This project took 13 printed crop protection guides, in both Canadian French and English, each over 200 pages long, translating and transforming them into a single web-based resource. The outcome boosted sustainability through the digital solution. It ensured information was never outdated and increased accuracy compared to its printed counterpart. 

It has made farmers’ jobs simpler and their crop protection more accurate; a dramatic, yet impactful change across an industry hesitant to adopt digital technologies, but the benefits have helped to future-proof an often unpredictable market.

Staying agile

Big change doesn’t happen overnight. We always recommend taking an agile approach to digital transformation – working iteratively to ensure teams feel confident using and getting value from the technology, rather than waiting months or even years for the big reveal. 

Organisations should introduce new systems and processes in stages to avoid the disruption and risk of a wholesale roll-out, and to minimise any push-back from internal teams.

In OMAFRA’s case, future iterations for the team have seen them look to reduce the technicality of their crop protection content. With the help of a content quality and governance tool, Insytful, they’re improving the readability of the content, making content easier to understand and reducing the barriers to accessing information.

In the race to adopt new technologies, especially the exciting AI-driven ones, it’s easy to overlook the fundamentals. 

Knowing what you want to achieve and setting clear objectives will guide your investments in new software and help you measure its success using agreed KPIs. In most cases, this will be a mix of over-arching and granular KPIs – everything from the time users spend on your website, to reducing the number of support calls your contact centre receives to overall business performance.Working iteratively means you can define and track your KPIs to understand the impact of the changes you make, enabling teams to build on and celebrate their successes at each milestone in the roadmap, and make continuous improvements along the way.

Moving forward

A focus on digital transformation has never been more important; enabling businesses to rapidly innovate, adapt to changing consumer and employee expectations, boost efficiencies and compete with other agile competitors. While there are many businesses already investing in technological advancements, there are some yet to begin that journey. Having seen first-hand the impact it can have and the financial savings it can bring, I would wholeheartedly encourage others to embrace the positive transformation it can bring in order to future-proof their business.

  • Digital Strategy
  • People & Culture

Mark Rodseth, VP of Technology, EMEA at CI&T, explores strategies for preparing your organisation to make the most of AI.

Artificial intelligence (AI) is at a critical juncture where both its benefits and risks are in the public limelight. But despite of headlines claiming AI will take over our jobs and society, we need to keep in mind that AI is meant to be a tool for enhancement, not replacement. Generative AI’s (GenAI) true purpose isn’t to steal our roles; it’s here to make things easier by offering administrative support and providing ideas, prompts, and suggestions, freeing up our time to do more meaningful and creative work. 

In order take full advantage of this technology, we first have to understand how to properly use it. 70% of workers worldwide are already using GenAI, but over 85% feel they need training to address the changes AI will bring. Others simply aren’t even aware of its capabilities—I’ve personally spoken to software developers who still aren’t using AI, when it could in fact help get their jobs done three times as fast, to a higher quality, and let them knock off early. 

It’s clear that people haven’t discovered, or been given the opportunity to discover, the huge avalanche of materials and tools out there to help them. Bridging this gap demands a concerted effort to educate, empower, and motivate the workforce. How, then, does an organisation truly become AI-first?

Maximising the potential of AI

Finding time to learn at all can be difficult. That’s why it’s essential for managers to actively support their people and provide tangible opportunities for growth. Creating a culture of continuous learning means offering employees access to educational materials, guidance, and updates. Additionally, creating ‘community opportunities’ where employees can share their AI experiences, challenges, and ideas with peers can foster a collaborative learning environment.

Some organisations are launching upskilling training and certification programmes to turn employees into GenAI experts. Upon completion of these courses, graduates receive formal qualifications, acknowledging their proficiency in using artificial intelligence. These training paths serve as catalysts for propelling businesses and employees into an AI-first future. In industries where adoption is becoming increasingly critical, mastering GenAI is key to staying competitive.

By ensuring that entire teams are equipped with the same level of AI knowledge and understanding, organisations can maximise the utility of AI tools. 

Challenges to achieving AI fluency 

But the path to AI fluency is not without its challenges. Many organisations grapple with the sheer scale of change and the investment of time required. Moreover, there is a pervasive fear of job displacement, amplified by misconceptions about AI’s capabilities. Addressing these concerns demands a holistic approach—one that not only imparts technical skills but also cultivates a mindset of collaboration and innovation.

True AI mastery requires a diverse ecosystem of talent and ideas. Organisations must actively engage with employees, partners, and customers, offering not just solutions but also insights into the potential of AI. By fostering a culture of continuous learning and experimentation, we can collectively work towards futureproofing our workforce and empowering them to lead the path of innovation.

What you can gain from an AI-first approach 

The benefits of this approach are manifold. By embracing AI, organisations can streamline operations, enhance decision-making, and even unlock entirely new revenue streams. Take for instance the realm of customer experience. By leveraging AI-powered insights, companies can personalise interactions, anticipate needs, and deliver seamless service—a win-win for both businesses and consumers.

But perhaps the most significant impact of AI lies in its capacity to democratise innovation. 

Traditionally, the realm of AI has been confined to tech giants and research institutions. However, with the proliferation of accessible tools and resources, the barriers to entry are diminishing. This democratisation not only fosters competition but also spurs creativity, as diverse voices and perspectives converge to solve complex challenges.

Yet, amidst the promise of AI, ethical considerations loom large. From bias in algorithms to concerns about data privacy, navigating the ethical landscape of AI requires vigilance and accountability. Organisations must not only prioritise transparency and fairness but also empower individuals to question and challenge the status quo.

The journey ahead

Achieving success in today’s AI-centric landscape is about harnessing technology to enhance human ingenuity and creativity. If employees undertake the right training and tools, organisations can reduce the risks of AI and ensure it is being used as a catalyst for growth. As we approach a new era of technological advancement, businesses need to adapt or they risk falling behind the competition. The path ahead of us may seem daunting, but those that are willing and brave enough to confront it head on will reap the benefits in the long run.

  • Data & AI
  • People & Culture

Rob Alonso, Director of Business Process Services at Ricoh UK, looks at how process automation can be applied to HR functions to unlock employee potential and enhance employee experience.

In the ever evolving corporate world, change is taking place faster than you can say, well, “change”. 

Emerging technologies are transforming the way we work and indeed impacting employee expectations. This evolution is making it critical for businesses to keep pace in order to attract, nurture, and retain top talent. 

This can be an immense strain on HR teams, who can often find themselves bogged down by labour-intensive, repetitive tasks, leaving little time for strategic initiatives that truly impact the employee experience and drive business success.

This is where process automation comes into play, acting as a catalyst for transformation. 

Process automation at Ricoh

By intelligently and strategically automating routine processes such as CV screening, payroll, and onboarding, we can liberate HR teams from tedious administrative burdens, allowing them to focus on what truly matters – cultivating a thriving company culture and maximising talent potential.

This is all about working smarter, not harder.

At Ricoh, we’ve witnessed the transformative power of process automation firsthand. British retailer B&M approached us with the problem that its HR processes were struggling to match pace with its rapid growth. Using Ricoh’s technology DocuWare, B&M implemented a new onboarding system, speeding up the onboarding process for new employees from a matter of weeks to a matter of hours, meaning that the continued growth of the business was supported and sustained.

Ricoh itself is also in the midst of automating our own HR processes, and constantly looking to develop and invest in this area of our portfolio. As part of this approach, we acquired Axon Ivy, a leading provider of intelligent Business Process Management Suites (iBPMS), in 2022. Axon Ivy’s platform seamlessly integrates cutting edge technologies like artificial intelligence (AI) and robotic process automation (RPA), optimising and automating business processes by connecting people, data, and systems. What this means in real terms is the ability to streamline workflows and enhance productivity across various job functions and departments.

Unlocking human potential with process automation

While emerging technologies represent an exciting prospect for efficiency and workflow, the real value they bring is the power to unlock human potential. In the B&M example outlined above, the time saved in onboarding by automation was just one benefit, but we also saw much stronger staff engagement too.

We view process automation as more than just a technological solution but rather a mindset shift that puts people at the centre of the equation. 

It’s about finding the perfect balance between automation and the human touch, which in turn creates an environment where our people can thrive and reach their full potential.

Automation is fast becoming a not-so-secret weapon, particularly for HR departments and, perhaps paradoxically, helping to put the ‘human’ back in human resources.

By leveraging emerging technologies and personalised learning paths, we can foster employee engagement, tailor career development opportunities, and ultimately transform everything from recruitment to retention. 

At Ricoh, we understand that true productivity hinges on cultivating a culture of continuous learning and skill development. That’s why we’ve implemented programmes designed to upskill and cross skill our service workforce, enabling them to work with our complete portfolio and future proof our organisation.

The future of a people first approach lies in embracing process automation as a strategic enabler, not just a tactical solution. 

By harnessing the power of intelligent automation, we can unlock new levels of efficiency, agility, and, most importantly, employee satisfaction – paving the way for people to truly shine.

  • Digital Strategy
  • People & Culture

Al Kingsley, Group CEO of NetSupport and Department for Business and Trade Export Champion, explores developing a digital strategy for the world of hybrid work.

In the post-pandemic corporate world, the hybrid model is king. Though some employers appear keen to draw their workforce back into the office, many potential employees now expect flexible working as a standard work benefit. Indeed, one report suggests nearly 98% of workers would like to work remotely at least some of the time for the rest of their career. 

The question for businesses is how to ensure they have the correct set up and cultures to support a successful hybrid working model.  

Although hybrid working is sometimes viewed as employees simply taking their laptops home, the model comes with countless new considerations and practices that must be introduced to ensure it helps – rather than hinders – both employees’ and businesses’ performance.  

Cyber security – training and policies 

Increased time spent using devices remotely can lead to heightened cybersecurity risks. One significant risk that business leaders should not overlook is how employees working remotely handle data. For instance, whilst working in a public setting, employees might accidentally have sensitive or confidential information on their screens for members of the public to discover – as a Cabinet Minister recently discovered, in an embarrassing gaffe

Similarly, in the context of remote working, employees are more susceptible to phishing scams, which may take the form of requests from colleagues or customers for passwords, file access or other sensitive data. 

Robust data security arrangements are, of course, a legal obligation; dedicated time to training employees should inform your organisation’s priorities. Understanding your sector’s requirements in this regard shapes how you pursue this goal. For example, statutory requirements for education organisations may differ to those for hospitality businesses. 

Sector bodies, business networks and even technology solution providers run webinar sessions and even accredited cybersecurity training sessions tailored to your organisation’s needs and sector-specific concerns. 

The rewards of doing so are manifold; not only will this reduce the risks of harm to your company, customers and colleagues, but some business insurance firms will even offer enhanced benefits to policyholders who take these steps with security in mind. 

Effective remote IT support and access 

Hybrid working can often mean employees will need to access servers or devices remotely in order to collaborate effectively or provide support to their colleagues by taking control of their device. 

Secure remote access is therefore extremely helpful, particularly for troubleshooting when IT issues arise; technicians can take control of devices remotely, facilitating faster diagnoses and quick resolutions for problems. 

Remote working means that if an employee’s device stops working, outages and device issues can be truly debilitating. Reducing the amount of time lost to such outages is therefore critical, both for balancing employees’ workloads and for optimising efficiency across the organisation. 

Informed efficiency  

A hybrid working model relies on efficient and smooth-running infrastructures and networks. This is a constant challenge that all hybrid employees must face, working continuously to improve efficiencies and allow employees to continue to work together no matter where they are.  

Constantly auditing and keeping track of the status of your devices and network, particularly for larger companies, can be a mammoth task. An IT Asset Management solution can automate this process by monitoring device locations, usage and life cycles, as well as measuring what solutions or processes work well or could be improved.  

For example, these solutions can collect data on inventory, applications, user behaviours, and even energy usage. From this informed perspective, companies can set out on a path to improvement and efficiencies by introducing policies that help maximise their investment and ensure infrastructure remains fit for purpose and meets all employees’ needs. 

Supporting employees to work efficiently and easily, regardless of their location, means building an IT infrastructure that flexes to your organisation’s needs and supports them when issues arise. Security and the safety of data – whether that of customers, colleagues or the company more generally – will need to be considered in a new way to ensure that new threats are being mitigated. 

Placing your employees’ needs at the core of hybrid working policies and infrastructure is critical in ensuring the hybrid model will work for everyone, while also future-proofing your business. 

  • Digital Strategy
  • People & Culture

Marius Stäcker, CEO of ToolTime, shares his four top tips for successfully implementing new software and driving digital transformation.

Introducing new software can be daunting, particularly if you’re a small business with limited resources in the early stages of digitisation. However, when you digitise effectively, there is much to be gained, such as increasing productivity, revenue generation, attracting younger talent, and levelling up customer service. 

The key to successful implementation lies in your approach. Digital transformation can be expensive, so ensuring a solid return on investment is critical. The good news is that organisations with fewer than 100 employees are 2.7x more likely to report a successful digital transformation than those with more than 50,000 employees. 

However, despite this, many SMEs still fall victim to rushing the onboarding of new software due to external pressures, only to find that the selected software doesn’t adequately serve the needs of their business. To avoid this, it’s critical to understand what you’re trying to achieve, what your team needs to support their day-to-day operations, and the realities of transitioning to new software solutions. You can accomplish this with proper planning, buy-in from the right parties, and the support of the right partners

Whether you find yourself bogged down by the sheer number of solutions on the market, are experiencing push-back internally, or don’t know where to start, this article will help you move forward with your digital transformation and successfully onboard new software tools. 

1. Define your ‘why’

Whether you want to grow your business, differentiate from competitors, give your team more time to spend with customers or improve administrative processes, defining your business aims and the specific problems you’re trying to solve is an essential first step in digitisation. 

Once you have determined your business goals, you need to break this down further to ensure that the digital tools you select can get to the root of the problem. For instance, if you are looking to attract more customers, how can you achieve this? It might be by focusing on the customer experience to ensure smooth, professional service, which could mean looking at tools supporting customer relationship and appointment management, invoicing, or improving organisation more generally. 

However, if your business aim is to grow revenue, you might be looking for tools to increase productivity and free up more working hours for you and your team. This requires a slightly different set of tools – for example, those that can support paperwork digitalisation and centralisation or the automation of time-consuming manual administration.  

The first step in successful software implementation is clearly defining your business’s specific requirements. This helps narrow down the search for the right option and gives you a framework for assessing potential partners.

2. Select partners that understand you

Once you’ve refined your business aims, you must carefully consider and evaluate the partners to help you achieve them. Picking a partner with the right tools for the job can be a challenge, but investing in this stage of the process will set you up for a smooth transition and put you on the path to a quick return on your investment.

Choose partners who want to understand your business requirements. The right partner will ask you lots of questions and want to get to know not only your practical needs but also your business’s ethos and long-term goals. They should have a track record for helping businesses of a similar size and in the same or relevant adjacent industry. 

It also helps to commit time to discussing the onboarding process in detail. Understanding the impact on your team and what any potential partner can do to help them get up to speed – fast – will be critical in the later stages of implementing new software. The right partner for you will understand your current pain points, your team mindset and what they need to buy into the process.

3. Make sure your team feels heard

Business owners are often worried that new software will make things more complicated or overwhelm team members. When selecting and implementing new digital tools, they encounter barriers of unfamiliarity, hassle, and uncertainty. Digitalisation requires a practical change in how things are done and a cultural shift inside the company, so securing buy-in by ensuring your employees feel heard and accounted for in the selection and onboarding process will be crucial.

Comprehensive training will be essential to ensure proper software usage to achieve the desired results. The vendor should provide this for all users, with ongoing support for teething problems or issues arising with greater use. Ask your vendor what their customer success team looks like and how you will be supported even after training and initial implementation. 

4. Track success

Even after the software has been implemented, it’s essential to maintain open lines of communication to discuss the transition, address any concerns, and celebrate early wins to build momentum. Ongoing monitoring and evaluation will be necessary to gauge usage and performance. There’s no point in having the software if no one uses it after all or if it’s not improving productivity and efficiency. 

Onboarding new solutions and letting them run until you hit roadblocks will not deliver the desired results. A continual review process and an ongoing performance assessment cycle are critical.

By establishing clear, measurable objectives such as reduced time for task completion, increased output, or improved accuracy that map to your business objectives, you will build a proper understanding of whether or not the software delivers on those requirements. 

Setting the stage for long-term success

Successfully integrating new software into your small business’s operations can be a game-changer, offering enhanced productivity, revenue growth, and improved customer service.

The key to a successful digital transformation lies in thorough planning, understanding your specific needs, and selecting the right partners who align with your business goals. Ensuring your team feels involved and supported throughout the process is crucial, as is tracking the software’s performance to ensure it meets your objectives. With careful execution, your business can harness the full potential of digital tools, setting the stage for long-term success and growth.

  • Digital Strategy
  • People & Culture

Jonathan Bevan, CEO of Techspace, explores the profound impact of AI on the workforce, and how employers can be ready.

The rise of artificial intelligence (AI) is transforming work and the workplace at pace. Here at Techspace, we have a front-row seat to this catalyst and how both companies and their employees are adapting. The latest Scaleup Culture Report reveals how significant an impact AI is already having in the tech job market, particularly in London.

A remarkable 26% of London tech employees point to AI as a reason for their most recent change of job compared to the national average of 17%. This kind of rapid impact will cause anxiety and concern unless businesses act. It is imperative for companies to proactively prepare their workforce for the AI-driven future.

Here are seven factors tied to the impact of AI on the workplace that employers need to keep in mind.  

1. The Importance of upskilling and reskilling

The answer lies in a two-pronged approach: upskilling and reskilling. Upskilling involves enhancing employees’ existing skillsets to maximise their effectiveness. Reskilling equips them with entirely new positions within the organisation. Both are critical for staying competitive and ensuring your workforce remains relevant in this evolving digital landscape.

2. Assessing talent and identifying gaps

The foundation of a successful upskilling and reskilling program lies in understanding your workforce’s current skill set. Identifying their strengths and weaknesses, enables you to tailor training to their specific needs.

3. Developing customised training programs

One-size-fits-all training doesn’t work for a diverse workforce. Develop customised programmes that cater to the specific skills required for various roles.  Think technical skills like coding and data analysis, but don’t neglect soft skills like leadership, communication, and problem-solving – all crucial for navigating the AI landscape.

Technology itself can be a powerful learning tool. To offer flexible and accessible learning opportunities, use online courses, virtual workshops, and e-learning platforms. Consider AI-powered tools to personalise learning experiences and track progress for maximum impact.

4. Fostering a culture of continuous learning

Upskilling and reskilling efforts thrive in a culture that values continuous learning. Encourage employees to take ownership of their development. Provide necessary resources and support as well as time, and recognise and reward learning achievements. 

This fosters a culture of growth and empowers individuals to embrace new opportunities.

5. Collaborating with educational institutions and industry partners

Strategic partnerships with educational institutions and industry players can significantly enhance your programs. These collaborations unlock access to cutting-edge research, expert knowledge, and specialised training resources. Industry partnerships offer valuable networking opportunities and insights into emerging trends.

6. The role of leadership in driving change

Leadership plays a pivotal role in driving change. Leaders must champion continuous learning and set an example by actively engaging in their own development. By fostering an environment of trust and support, leaders can encourage their teams to embrace new challenges and pursue growth opportunities.

7. The future belongs to the prepared

The evolving role of AI demands a forward-thinking approach to workforce development. Upskilling and reskilling initiatives are no longer optional but essential investments in the future. By prioritising these initiatives, companies can provide their employees with the ability to adapt to the changing landscape and actively leverage AI for growth and innovation. This commitment to continuous learning ensures a competitive edge in a market increasingly defined by technological disruption and agility.

When OpenAI released ChatGPT on November 30, 2022, the entire world was abruptly introduced to the power of AI and the multitude of applications that the technology affords. 

As AI continues to develop and evolve, so too must we all, and those that don’t, aren’t already, or heed the advice afforded above are plotting a course solely for their own demise.

  • Data & AI
  • People & Culture

Greg Billington, Head of Engineering at ScriptRunner, explores the potential for AI to make automation more accessible to organisations.

In today’s fast-paced business environment, automation has become a critical tool for driving efficiency and productivity.

Historically, traditional automation solutions often required specialised skills, such as programming knowledge, and familiarity with complex software systems. These skills typically belonged to IT professionals and developers, limiting who within an organisation could contribute to its automation efforts. This created bottlenecks and backlogs. It forced teams to spend time explaining their problems to experts, rather than solve them directly. 

As technology continues to advance, this landscape is undergoing a significant shift. Automation tasks previously handled by experts are now being put into the hands of a broader range of employees. This democratisation of automation is letting them streamline their work and drive unprecedented productivity gains. Business users can now automate tasks like data entry, document generation, and approval workflows without relying on IT support.

Examples of accessible automation

One of the most visible examples of how automation has been democratised is the rise of AI-powered chatbots. These intelligent assistants can handle a wide range of customer inquiries and support tasks. These range from answering simple questions to guiding users through complex processes. By leveraging natural language processing and machine learning, chatbot creation software bypasses the complexity of traditional automation. Employees can deploy and manage chatbots with minimal technical expertise. For instance, a customer service representative can set up a chatbot to handle frequently asked questions. This frees up their time to focus on thornier customer issues.

Another prime example of accessible automation proliferating is drag-and-drop workflow builders. These intuitive tools enable users to visually design and automate complex business processes without writing a single line of code. By surfacing the ability to map the solution and burying the underlying technical elements required to deliver what the user has mapped out, these platforms empower general business users to create and modify automated workflows on the fly, adapting to changing needs and requirements with ease. For example, a human resources manager can create an automated onboarding workflow using AI. The workflow can assign tasks, send notifications, and collect necessary documents from new hires, all without involving the IT department.

Looking at what powers these chatbots and drag-and-drop workflow builders, scripting is also more accessible to non-technical users. Modern scripting platforms now offer pre-built libraries and snippets that users can customise and deploy without extensive programming knowledge. We’re also seeing a rise in the number of AI-powered scripting assistants: a potent combination for those who have not spent their careers in programming or engineering roles. For example, a project manager can use scripting to automate the creation of weekly status reports, pulling data from various sources and generating a polished document with just a few clicks.

Benefits of accessible automation

The benefits of putting automation into the hands of a broader range of employees are significant. First and foremost, accessible automation drives productivity gains across the organisation. By automating routine tasks and processes, employees can focus on higher-value work that requires human creativity and problem-solving skills. This not only boosts individual productivity but also frees up time for innovation and strategic initiatives. Moreover, automating mundane tasks can improve job satisfaction, as employees are no longer bogged down by repetitive, frustrating, or low-value work.

Additionally, accessible automation enhances organisational agility. When employees at all levels can easily automate and optimise their work, teams can respond more quickly to changing market conditions and customer demands. This agility is as crucial today as it’s ever been: the ability to pivot and adapt faster than competitors can mean the difference between success and failure.

Assisted scripting takes accessible automation to the next level by offering unparalleled flexibility and customisation to those who would not consider themselves coders. With scripting, users can automate virtually any task or process, tailoring solutions to their specific needs. This level of customisation enables organisations to optimise their workflows in ways that off-the-shelf automation solutions may not allow. Moreover, as employees become more comfortable with scripting, they can continually refine and improve their automated processes, driving ongoing efficiency gains.

Preparing for an automated future

As the trend towards accessible automation continues to accelerate, IT leaders must take proactive steps to prepare their organisations for the future. This starts with adopting and scaling automation solutions that prioritise usability and accessibility. By investing in platforms that empower general business users, IT leaders can democratise automation and drive widespread adoption across the organisation.

To truly harness the power of automation, organisations must also prioritise upskilling and training their employees. While these tools are becoming more intuitive, there is still a learning curve involved. Providing resources and support to help employees learn how to use automation tools effectively and efficiently is crucial. By investing in employee development, organisations can build a culture of automation and continuous improvement and have staff that are ready to take advantage of all of the advances that lie on the horizon in automation technology.

As part of the upskilling and training process, organisations should consider providing the resources to help employees learn scripting basics. While modern scripting platforms are becoming more user-friendly, a foundational understanding of scripting concepts can help employees automate intricate tasks more effectively and efficiently. By offering scripting tutorials, code libraries, and best practices, IT leaders can empower their workforce to take full advantage of more powerful, script-fuelled automation tools.

The impact of accessible automation will be felt across industries. In healthcare, practitioners can automate patient data collection and analysis, enabling more personalised care. In finance, accessible automation can streamline risk assessment and compliance processes, reducing errors and improving security. Manufacturing companies can empower workers to automate quality control and inventory management, boosting efficiency and reducing waste. As accessible automation continues to evolve, its potential to transform the way we work is limited only by our imagination.

A seismic shift

The rise of accessible automation represents a seismic shift in the way organisations approach efficiency and productivity. As AI and low-code platforms continue to advance, putting automation into the hands of every employee will become not just possible, but imperative. By empowering employees to automate their work and drive their own productivity gains, organisations can unlock new levels of agility, innovation, and growth. The future of work is automated – and it’s more accessible than ever before.

  • Digital Strategy
  • People & Culture

Making the most of your organisation’s data relies more on creating the right culture than buying the latest, most expensive digital tools.

In an economy defined by the looming threat of recession, spiralling cost of living, supply chain headaches, and geopolitical  turmoil, data-driven decision making is increasingly making the difference between success and failure. By the end of 2026, worldwide spending on data and analytics is predicted to almost reach $30 billion. 

A recent survey of CIOs found that data analysis was among the top five focus areas for 2024. 

However, many organisations are realising that investment into data analytics tools does not automatically equate to positive results. 

Adrift in a sea of data 

A growing number of organisations in multiple fields are experiencing a gap between their data analytics investments and returns. New research conducted by The Drum and AAR (focused on the marketing sector) found that over half (52%) of CMOs have enormous amounts of data but don’t know what to do with it. 

In 2022, a study found only 26.5% of Fortune 1000 executives felt they had successfully built a data-driven organisation. In the 2024 edition of the study, that figure rose to 48.1%. However, that still leaves over half of all companies investing, trying, and failing to make good use of their data. 

Increasingly, it’s becoming apparent that the problem lies not with digital tools that analyse the data but the company cultures that make use of the results. 

“The implementation of advanced tools and technologies alone will not realise the full potential of data-driven outcomes,” argues Forbes Technology Council member Emily Lewis-Pinnell. “Businesses must also build a culture that values data-driven decision-making and encourages continuous learning and adaptation.” 

How to build a data-driven culture 

In order to build a data-driven culture, organisations need to shift their perspective on data from a performance measurement tool to a strategic guide for making commercial decisions. Achieving this goal requires top-down accountability, with buy-in from senior stakeholders. Without buy-in, data remains an underutilised tool rather than a cultural mindset.

Additionally, siloed metrics lead to conflicting results, hindering effective decision-making and throwing even good data-driven results into doubt. Taking a unified data perspective enables organisations to trust their data, which makes people more likely to view analytics as a valuable resource when making decisions. 

In the marketing sector, there’s a great deal of attention paid to the process of presenting data as a narrative rather than just statistics. Good storytelling around data insights helps various departments ingest and align with the results, in turn resulting in more stakeholder buy-in. This doesn’t happen as much outside of marketing and other soft-skill-forward industries, and it should. Finding ways to humanise data will make it easier to incorporate it into a company’s culture. 

  • Data & AI
  • Digital Strategy
  • People & Culture

Human error remains the most common point of failure for cybersecurity measures, but almost three quarters of European companies aren’t training staff.

A shortage of cybersecurity professionals and a lack of organisation-wide training may be exacerbating a lack of cybersecurity skills in many European companies. 

More than 70% of companies in the European Union have not taken any steps to train their employees on cybersecurity, or raise awareness of cybersecurity as an issue. This data comes from a new survey by Eurobarometer of companies in 27 EU countries in April and May. 

Security breaches are worse than ever 

It would appear that, for most organisations, increasing employees’ cybersecurity capabilities would be a top priority. Data breaches and cybersecurity attacks are becoming increasingly common. A survey of more than 500 IT and cybersecurity professionals within UK businesses found that 61% of businesses experienced a cyber breach last year. A quarter of those companies suffered three breaches or more. 

Worldwide, the number of data breaches rose by 20% from 2022 to 2023, due to cloud misconfigurations, ransomware attacks, and exploitation of vendor systems. However, while attackers are using more sophisticated tools—like AI deepfakes and Chat-GPT generated phishing emails—humans still remain the best defence against cyberattacks, but also cybersecurity teams’ most glaring weakness. 

According to data published in the State of Email and Collaboration Security 2024, 74% of all cybersecurity breaches are down to “human factors”. These include errors, stolen credentials, misuse of access privileges, and social engineering.

Not only is it becoming more likely that breaches occur, but data also suggests that they are wreaking more havoc than ever. A study released in April found that an overwhelming proportion (93%) of breached enterprises reported the consequences of their breaches as “dire”. Fallout commonly included operational downtime and financial losses, as well as reputational damage. 

So, why is no one being trained? 

The figures only make it more alarming that well over half of all EU companies have made no progress towards improving the overall cyber-readiness of their workforces. Additionally, 68% of the companies surveyed reported thinking that no training or awareness raising about cybersecurity was needed. Another 16% said they were not aware of relevant training opportunities, and 8% said such measures were too costly.

The most common reason cited by organisations not training their staff on cybersecurity is that there doesn’t appear to be anyone who can do the training. Just under half of all respondents (45%) identified their biggest challenge as finding qualified candidates for cybersecurity positions. Almost half (44%) reported having no applicants at all.

Around 20% of companies reported the fact that the continuous training required to keep cyber professionals abreast of industry developments was an obstacle to hiring. A similar number also cited rapidly evolving technology as a challenge to finding qualified workers. 

As a result, it appears that, in Europe at least, the cyber skills shortage is driving a lack of cyber awareness across the whole business. It’s also possible that a lack of cybersecurity professionals leads to a lack of training, which then leads to a lack of awareness of a need for better cybersecurity measures. Until there’s a breach, of course. 

Things are similar in the UK. According to the British government’s 2023 Cyber Security Breaches Survey report only 18% of businesses said that they’d organised cybersecurity training for their employees in the last year.

Kayne McGladrey, Field CISO, Hyperproof, commented that employers “should provide annual training at the very minimum, supplemented by micro-training modules after policy violations or incidents”.

  • Cybersecurity
  • People & Culture

Skills gaps and replicating bad processes are more likely to be harming your digital transformation than technology, according to people who make technology.

A shockingly high percentage of digital transformation projects fail. According to McKinsey, the figure actually sits at around 70%. Not only that, but less than a third of digital transformations manage to improve organisational performance and sustain those improvements for any length of time.  

Nevertheless, digital transformation has become a ubiquitous endeavour. Organisations in every industry in every market are engaging in some kind of technology transformation effort. This could mean adopting a new ERP platform, digitising paperwork, migrating to the cloud, or any number of other efforts to use technology to improve efficiency, solve pain points, and create value. 

However, across such a broad range of applications, companies, and markets, digital transformations keep failing at roughly the same rate. One reason for this could be that, wherever digital transformation goes, people are waiting for it. 

Humans are the problem with technology, according to Google VP  

At Google’s Cloud Next event held in Las Vegas in early April, Phil Davis, Google Cloud’s VP of Global GTM for Applications, SaaS and SMB, suggested that people and process are the biggest hurdle to successful digital transformations. 

“I think the biggest hurdle is the people and the process change that goes with it [digital transformation]. It’s not the technology,” he said in an interview at the event. Davis believes that the problem with many digital transformation efforts is that they replicate existing problems using new technology. Processes that don’t benefit the business on premesis also won’t work in the cloud. Fundamentally, nothing’s changed. Moving an inefficient process into the cloud doesn’t change the fact the process is inefficient. 

“The biggest thing is how do you train people to do things differently,” he said. “We see this even with Workspace. People may be used to doing things in a very suboptimal, clunky way and this is a very different, more efficient way to do it.”  

The ubiquitous cloud skills gap and digital transformation

According to a report by SoftwareOne, the vast majority of digital transformations struggle due to lacking cloud and IT skills. 

The report found that 95% of businesses around the world are dealing with a cloud and IT skills gap. As a result, technology transformation projects are falling behind by an average of five months. Not only this, but one-third of businesses believe their finances will suffer as a result. 

“For companies who want to accelerate their digital transformation, closing the cloud skills gap is critical,” said Craig Thomson, an SVP at SoftwareOne. 

For businesses looking to prevent their transformation efforts from being delayed, derailed, or ineffectual, closing the skills gap is paramount. As such, it’s not a huge surprise that the top three places where businesses plan to spend money in 2023 are in hiring and wages (29%); retention, “upskilling” and engagement (22%); and digital transformation including cloud, security and automation (20%), according to a report by SPG Global.  

  • Digital Strategy
  • People & Culture

From skills gaps to data security, here are the 5 biggest risks that threaten organisations’ cloud migration efforts in 2024.

Cloud migration is a key stepping stone for businesses on the road to digital transformation. Moving IT infrastructure into the cloud increases agility, makes it easier to scale, and unlocks new capabilities for organisations. According to data from Accenture, a successful public cloud migration can reduce the Total Cost of Ownership (TCO) of an organisation’s IT stack by as much as 40%.

Migration from legacy to cloud-based services has accelerated even more in the wake of the COVID-19 pandemic, with 80% of organisations using multiple public or private clouds at once. However, much like digital transformations, cloud migrations are also fraught with complications. As many as half of all cloud migration projects fail or stall. Not only this, but around 44% of CIOs approach migration without a sufficient plan, and 55% of business leaders are unable to optimise their process to match a clearly defined business case. 

The benefits of a successful cloud migration far outweigh the risk of failure, but that risk is nevertheless very real. Here are the X reasons why your cloud migration is in danger of failing. 

1. Skills gap 

Transitioning to a cloud computing environment involves implementing new technologies, procedures, and third-party integrations. In short, it’s complex and new. Often, existing teams won’t have the necessary skills and qualifications to perform IT roles within the new infrastructure. 

Training and upskilling is a necessary part laying the foundations for a cloud migration. In order to bridge the gap between your current capabilities and where you need to be, partnering with a cloud migration specialist can be helpful. However, relying too much on outside help can cause costs to skyrocket. Also, relying on third party talent can prevent your own teams from developing the necessary skills, leaving you in the lurch when the consultants leave. 

2. Complexity and lack of visibility 

Cloud migrations are complex, especially when moving from legacy on-premises IT environments. As a result, progress is best made in stages to ensure each step is successful before advancing. Underestimating a project’s complexity can create potentially disastrous pain points for a cloud migration. Simply porting legacy software over to the cloud can result in downtime, loss of key functionalities, and dissatisfied customers. 

A complex IT architecture can make developing and implementing a cloud migration strategy challenging. Identifying and documenting interdependencies and creating a phased plan for moving specific components to the cloud can be particularly difficult.

Osterman Research claims that 97% of enterprise cloud apps are unsanctioned purchases. Departments, teams, or employees purchase new tools to support their productivity efforts independently from the broader IT or cloud migration strategy. The result can be spiralling complexity and an inability for IT to gain the necessary visibility to govern a cloud environment. 

3. Cultural inertia and change management 

Cloud migration is not just a sizable logistical undertaking. Moving from an on-premises IT environment to the cloud (especially the public cloud) requires a meaningful shift in attitude and approach. As a result, cloud migrations often encounter internal resistance and complexities when it comes to managing people, just as much as processes.

Transitioning from a strong on-premises IT culture to the cloud may meet staff resistance, potentially delaying the process and sparking conflicts. Top down buy-in and advocacy for the migration is crucial. Migrations where the leadership team champion the initiative are much more likely to be successful. Specifically, C-suite engagement has been proven to heavily influence employee engagement and adoption. 

4. Data security 

Data security and regulatory compliance are significant challenges faced by every organisation transitioning to the cloud. There are meaningful differences between being compliant in an on-premises environment and in the cloud. Migrating to the cloud has the potential to expose your data to new risks. As such, a robust approach to security is absolutely essential.

Setting up a new cloud environment means ensuring that data and applications hosted in the cloud are as secure as those in an on-premises data centre. 

In public cloud deployments, companies share servers and infrastructure with other customers. Vulnerabilities in these servers or inadequate isolation of virtual machines can result in data leaks or other security incidents. It can also be difficult to gain visibility into the exact location of valuable data and applications, posing challenges for compliance with regulations like General Data Protection Regulation (GDPR).

5. Cost containment 

Only about 3 in 10 organisations know exactly where their cloud costs are going, according to CloudZero’s State Of Cloud Cost Intelligence 2022 Report. One of the most common pitfalls that derails cloud migrations is excessive project spend. 

Overspending in of itself is typically an indicator of larger underlying issues. inadequate understanding of the amount of work required to complete a migration can see costs rapidly spiral. A lack of focus and direction can see dramatic overspending on products and services that don’t create value for the organisation. Not having enough internal expertise can result in massive overspending on third party consultants that could be better spent on training internal staff.  

  • Infrastructure & Cloud
  • People & Culture

Businesses that invest meaningfully into digital transformation experience better business performance and outcomes compared to those that don’t.

It’s widely reported that the majority of digital transformations are unsuccessful. However, the fact remains that organisations investing heavily in digital transformation are nevertheless “more productive and see overall better performance” than companies with lower levels of investment. 

Major benefits of technology investment 

According to a new report from Autodesk, when comparing companies that invest more or less than 45% of their revenue in technology, the outcomes for organisations investing above 45% reportedly “create a compelling case that effective digital transformation investments are now essential to business success.”      

Half of respondents to Autodesk’s survey of industry leaders whose companies were investing over 45% into technology reported their organisation’s performance as “exceptional.” By comparison, only 32% reported exceptional performance at companies that invest less. 

In organisations with higher levels of investment into technology, 34% reported that their companies were keeping up with changes in their industry “very well,” compared to 25% at companies investing less. 

Most importantly, perhaps, respondents reported significant productivity gains as the direct result of technology investment. Those citing productivity as the top benefit of digital transformation said, on average, that digital investments have improved productivity by 62%. Profitability, customer satisfaction, sustainability, and collaboration were all reported as benefiting from higher levels of digital transformation

Major barriers to digital maturity

The percentage of digital transformations that fail is as high as 70%, according to a 2021 McKinsey study. The figure comes from a report that cites barriers to successful digital transformation as “insufficiently high aspirations, a lack of engagement within the organisation, and insufficient investment in building capabilities across the organisation to sustain the change.” 

Autodesk’s data, at least in part, reinforces the findings. Report’s authors note that there are a number of barriers preventing companies from investing in technology as much as they would like. They also admit that implementing new tools is “not enough to drive effective digital transformation.” Instead, they stress that new tools and solutions must be accompanied by process improvements and cultural transformation. Importantly, Autodesk’s data highlights the fact that cultural transformation needs to come from both employees and executives.

“There is still resistance to digital transformation from people who have been working for a long time,” Eiichiro Okano of the Obayashi Corporation commented in conjunction with the report. 

Regardless of whether barriers to digital transformation hindered investment or implementation, the data overwhelmingly points to the fact that organisations that successfully overcome these obstacles unlock meaningful benefits. According to respondent’s from “digitally mature” companies, compared with digitally immature ones,  34% more experienced “above average” or “exceptional” performance; 20% more kept up “very well” with change in the industry; 26% more “agree” they are prepared for the future; and 19% more said they were “very effective” at leveraging data.

  • Digital Strategy
  • People & Culture

Digital transformation is a critical element of successfully, sustainably transitioning from in-person to hybrid or remote teams.

In a world where remote work is here to stay (albeit maybe not in as big a way as we thought), digital transformation is allowing companies to support and better harness the potential of a partially or fully remote team.  

Remote work and the long shadow of COVID-19

The COVID-19 pandemic continues, in many ways, to cast a long shadow across the ways we live today. One of the most significant changes that the pandemic wrought was to the ways in which we work and view the traditional dynamic of the in-person office

The number of people working remotely in the US tripled during the pandemic. According to the US census bureau, 17.9% of people mostly worked from home in 2021, compared with 5.7% in 2019. Fast forward to 2024, and the situation is a little more complicated. 

During the pandemic, many companies claimed that, due to the initial successes of remote work, they would continue to operate hybrid teams in the future. Some claimed that remote work would be on the table forever. This trend didn’t last, as reactionary backlash against remote work pushed numbers down again over the past 18 months in conjunction with public health restrictions lifting. 

Today, in the US, slightly more than one-third of workers whose jobs allow them to work remotely do so full time. Just over 40% are at least part-time remote on a hybrid setup. A survey by USA Today found that remote work remains popular, with hybrid remote being preferred among white collar workers. Over half (58%) of white-collar employees prefer to work remotely at least three days a week. 

Also, a mere 16% of workers said they would be willing to consider a role that doesn’t offer any remote work opportunities. And, almost half (42%) of office workers said they would be willing to take a 10% pay cut to have the option to work remotely. 

In short, despite tantrums from various executives and business owners, remote work isn’t going anywhere. 

The question is, how can companies support and capitalise on this new, distributed form of working?

Digital transformation and remote work 

Working from home is no longer a coping strategy. Millions of people around the world now work fully remote, with still more working in hybrid remote setups. 

Digital transformation is the key to unlocking the potential of remote teams, through collaborative tools, data analytics, and platforms that automate manual tasks and increase transparency. 

Utilising data for more informed decision-making is a critical step for any organisation, but especially for one with a distributed remote workforce. As organisations transition away from the traditional 9-to-5 workday, leaders need to give decision-makers actionable data. This involves optimising data flow, preventing information silos, and empowering teams with tools that facilitate faster, informed decisions.

Digital transformation—correctly deployed—can increase efficiency and enable operational transformations at the workflow level. Implementing automation tools to handle repetitive tasks can free up employees for higher-value activities. This synergises especially well with the more autonomous, flexible nature of remote work. 

First of all, leaders driving a remote-focused digital transformation should implement digital solutions that increase workflow visibility. This enables the necessary clarity remote teams need when it comes to highlighting objectives and delegating responsibility. 

Real-time project tracking enhances productivity and empowers employees, but management should be careful not to overinvest in oversight. Mistaking micromanagement for support is a managerial sin that can, ironically, be even easier to commit remotely. 

It’s all about collaboration

Most importantly, digital transformations for remote teams should always return to the importance of enhancing seamless collaboration. Adopting cloud-native solutions, videoconferencing, and collaboration tools is something companies now have the breathing room to do deliberately, as opposed to during the mad scramble of 2020. 

Implement the right tools and train your team correctly, and leaders can ensure seamless collaboration across any number of locations. These tools bridge the gap between remote and in-person teams, and can help create unity without the need for digital presenteeism. 

  • Digital Strategy
  • People & Culture

A lack of gender diversity in the fintech sector hurts women, men, and the bottom line, according to a damning new report.

Fintech has exploded over the past decade from a nascent offshoot of the tech sector to a multi-billion dollar industry. At its height in 2021, the fintech sector attracted more than $225 billion in investment. 

Apps like Klarna, CashApp, and Monzo are redefining the ways in which consumers and businesses interact with their money. The profound success of the fintech sector is causing a frantic scramble (by the standards of large financial institutions) to invest, acquire, and adapt from traditional financial institutions.  

In short, fintech is one of the most dynamic, forward-thinking, and exciting sectors you could hope to work in. At least, that’s how it likes to present itself. 

However, new research conducted by Dr Chloe Fox-Robertson and Professor Dariusz Wojcik suggests otherwise. Despite attracting a great deal of financial investment, “FinTech is causing minimal disruption to the financial landscape, tending to represent a process of re-intermediation rather than dis-intermediation. FinTechs collaborate with or replace incumbents,” they write

This undercurrent of conservatism—linked to Fintech’s heritage in the entrepreneurial, financial, and technology sectors—is also responsible for the underrepresentation of women in the industry. This is especially true among senior positions. 

Fox-Robertson and Wojcik’s suggests that, in fintech, “discriminatory practices are overt and implicit, everyday and exceptional, micro and acute.” 

A “triple glass ceiling” 

“Fintech gender inequalities result from male dominance in finance, technology and entrepreneurship,” Fox-Robertson and Wojcik argue. Each of these three sectors is grappling with its own gender imbalance. Women might make up 47% of all employed adults in the US, as of 2022. However, they hold only 28% of computing and mathematical roles, according to data from Zippia

According to data from Accenture, the ratio of women to men in technology roles actually declined in the past three decades. Half of all women who enter the tech industry drop out by the age of 35. As a result, far fewer women reach higher level executive positions within tech companies. 

The same is true in finance, and across startup culture in general. Fox-Robertson and Wojcik found the male dominance of the FinTech sector to be “particularly salient” at the senior levels. Under 5% of companies studied were led by a female CEO. Women accounted for, on average, 18.2% of executive committee positions and 27.67% of FinTechs were found to have an entirely male executive team. 

The contributing inequalities stemming from each, highly male-dominated, industry conspire to create a “triple glass ceiling.” 

Technology, finance, and entrepreneurship each have a tradition of “longstanding male dominance” and “continued privileging of masculinity.” Masculine coded traits are rewarded within these industries’ cultures, while traditionally feminine characteristics are undervalued and dismissed. 

“This ‘boys’ club’ culture within the senior levels of Fintech” is a significant barrier to women progressing within the sector. 

In the UK, women account for 28% of the fintech workforce but only 17% of senior roles. In 2019, just 12.2% of the 3,017 fintech startups in the UK had at least one woman (co-)founder. 

A challenge to the industry

Fintech’s image is ostensibly one of progress, of disruption. The sector is supposedly taking the innovative spirit of startup culture and the transformative power of technology to profoundly change the nature of the conservative, lumbering financial sector. However, Fox-Robertson and Wojcik argue that fintech’s actual impact is much less disruptive than its messaging claims. Not only that, but they observe that the industry has synthesised the ingrained misogyny of all three industries it pulls from. 

As a result, Fox-Robertson and Wojcik are calling for “a collective challenge that holds the industry accountable”.  Such action would be “necessary for (re)developing the fintech ecosystem to make it a more inclusive, equitable, and attractive environment for individuals.”  

The impetus for this goes beyond a simple moral imperative, however. There are well documented benefits to greater diversity. The positive impact of diverse perspectives is both fiscal and societal. For example, companies with increased diversity tend to financially outperform their competitors. The economic benefit is also collective. Fox-Robertson and Wojcik note that the UK economy could be boosted by as much as £250 billion annually if entrepreneurial gender parity could be achieved. 

Global fintech funding fell by 42% last year. EMEA and Latin America were hit hardest, exhibiting regional drops of 62% and 71% respectively to $8 billion and $1 billion, respectively. North America and APAC fared better, but only just. 

The industry appears to be bouncing back, but experts at McKinsey argue that “in the new era, a challenged funding environment means fintechs can no longer afford to sprint.” Fintech’s need to take a new approach and embrace new perspectives. Addressing diversity in a meaningful way could help secure a more successful future for the industry and its stakeholders. 

  • Fintech & Insurtech
  • People & Culture

Remote and hybrid work, combined with increased digitalisation, are increasingly making workplace culture a technology issue.

In the four years since the start of the COVID-19 pandemic, the world’s relationship to work has changed. Remote and hybrid work is here to stay. 

Nevertheless, tensions continue to flare between workers and CEOs demanding a return to the office. Leaders fighting to reinstate “the buzzy atmosphere of a lively office” are fighting the wrong battle. Instead, some argue they should be looking to technology as a way of creating a new kind of workplace culture without the centralised workplace. 

The traditional “workplace” doesn’t exist anymore

More employees are working flexible hours from wherever they want. 

In the US, for example, there were approximately 15.5 million digital nomads in 2021. That figure represents a dramatic 112% rise compared with 2019. Last year, a survey from the Pew Research Center showed roughly one third of workers with jobs that can be done remotely are working from home all the time. That’s compared to just 7% who did so before the pandemic.

Workers today have more freedom to work from outside the office. Not only this, but foundational attitudes towards work-life balance and the role of work itself are also changing. 

In 2021, a survey of more than 9,000 UK workers found that 65% of job seekers prioritised a good work-life balance over pay and benefits. In the US, another survey of 4,000 respondents found that 63% preferred work-life balance over better pay

Several countries, including the UK, have witnessed sizable trials of four-day working weeks. Many of these trials have been successful, with the majority of participating firms electing to make the changes permanent

Data has repeatedly shown that workers are more productive with a better work-life balance and under flexible remote working conditions. Remote workers are 47% more productive, spend less time distracted, and even work longer hours than their in-office counterparts. 

Despite this, many employers have displayed strong resistance to a decrease in “presenteeism”.  

Back to the office, or else… 

The efforts of CEOs to bring employees back to the office full time have been well documented. 

KPMG’s 2023 CEO Outlook survey found 64% of leaders globally predicted a full return to in-office working by 2026. The survey also showed that an overwhelming number (87%) of CEOs believed that financial rewards and promotion opportunities would be linked to in-office attendance. 

Companies that include Boeing, UPS, Disney, IBM, Microsoft, Walmart, and Goldman Sachs have all made an about-face on their hybrid work policies over the last six months. A report by the Conference Board found that “Citing concerns over productivity, innovation, culture, and promotion, many executives have been eager to have workers return to the office.” 

This fear over a loss of culture, which will in turn stifle innovation and productivity is interesting. CEOs are aware of the risk of a mass talent exodus in response to new hardline attitudes. However, according to a CNBC report, it’s “a chance they are willing to take because of the strategic value being placed on in-office collaboration.” 

Not only does hybrid work objectively not result in a productivity decrease, but there’s every sign that the renovation and preservation of workplace culture is an area ripe for digital transformation.

What if the benefits of remote work could be compounded by the kind of culture that fosters the kind of collaborative and social benefits touted by those advocating for a return to the office?

Transforming the digital employee experience 

In a recent op-ed in WIRED UK, Dell Executives argue that “As our experience of work grows more and more digitised, the technology provided by employers has become a key part of a company’s culture—but many aren’t treating it that way.” 

The pain points inherent to the in-person office are being replaced by “glitchy collaboration tools and dated software.” A poor DEX is not only detrimental to business outcomes, but it can have a negative impact on employee wellbeing. However, the CEOs arguing that a return to the office is necessary to save their company’s culture have glommed onto the wrong idea. This is assuming they’re arguing in good faith, of course.

DEX and a new kind of culture

“Digital employee experience is no longer a ‘nice to have’,” says Margarete McGrath, an exec at Dell Technologies. She explains that any company looking to retain top talent must have a reliable DEX strategy. “By providing employees with a seamless, intuitive and personalised digital experience, organisations can create a culture of innovation and collaboration that drives business success.”

Dominic Holmes, principal consultant at Cornerstone’s thought leadership and advisory services practice, agrees. “Technology is what can make this next-generation workplace a practical proposition,” he wrote in a recent op-ed. “A high-performance workplace environment is one that is dynamic, viable and focused on growth. So, businesses that want to embrace cultural transformation must also embrace technology,” he added. 

With the right DEX, employers can remove the boundaries that prevent them from creating new kind of a workplace culture. This new kind of culutre fosters creativity and collaboration without dragging everyone kicking and screaming back to a world of hour-long commutes, grey-walled cubicles, and casual Friday

Those who manage it will have the best of both worlds, higher staff retention, and better business outcomes. Those who don’t may find themselves increasingly lonely in very big, very empty offices. 

  • Digital Strategy
  • People & Culture

AI, automation, and cost cutting are driving mass layoffs at a time when culture, not technology, is supposedly driving digital transformations.

The importance of the human element to digital transformation success is well established. Well, it certainly gets talked about a lot. 

“Digital transformation must be treated like a continuous, people-first process,” says Bill Rokos, Forbes Technology Council member and CTO of Parsec Automation. No matter how advanced, technology won’t “deliver on ROI if the people charged with wielding it are untrained, unsupported or frustrated.” Rokos is far from the only executive leader touting the essential quality of people to the digitisation process.

In a world of tech-y buzzwords, thought leaders are increasingly returning to the argument that people and the culture they create is the core driver of long-term business success. “Culture is the secret sauce that enables companies to thrive, and it should be at the top of every CEO’s agenda,” argues Gordon Tredgold, motivational speaker and “leadership guru”. The right culture, he explains, attracts top talent, drives employee engagement, builds a strong brand identity, enhances customer experience, and fosters innovation. In short: culture, not technology, is the real driving force behind ongoing digital transformations. 

“Successful digital transformations create your business future – a future that will turn out well if you emphasise the human experience,” Andy Main, Global Head of Deloitte Digital, said in a sponsored post on WIRED. Shortly after, Deloitte laid off 1,200 consultants from its US business. It’s not the only organisation to do this. 

Gutting the culture 

A slew of companies throughout the tech, media, finance, and retail industries slashed their headcounts last year. It appears as though the trend is set to continue into 2024. Google, Meta, Goldman Sachs, Dow, and consulting giants like EY, McKinsey, Accenture, and of course Deloitte all announced major layoffs. 

The tech industry is haemorrhaging people, as AI and automation are leveraged to pick up the slack. A small, but very obvious example is Klarna. In 2022, the Swedish fintech dramatically slashed 700 jobs to widespread criticism. Shortly after implementing AI-powered virtual customer service agents, the company boasted in a statement that the AI assistant “is doing the equivalent work of 700 full-time agents.” How convenient. 

There’s a contradiction, however. Culture is regarded as the key to operating a successful digitally transformed business in the modern economy. If this is the case, however, aren’t mass layoffs likely to damage company culture? 

A new kind of organisation

MaryLou Costa at Raconteur suggests we might be seeing the emergence of “a new kind of organisation.” Automation and a desire to cut overheads are conspiring to cut staffing dramatically. Costa speculates that “growth numbers recorded by freelance hiring platforms and predictions from futurists suggest that it will take the form of a small core of leaders and managers engaging and overseeing teams of skilled operators working on a flexible, third-party basis.” 

A widespread transition to a freelance working model could have profound consequences for the future of office and tech work. Companies would, under the current rules, no longer pay tax on behalf of their employees. In places with poor healthcare infrastructure like the US, they would also be free from contributing to employee healthcare.  

“This is one of the biggest transformations of the nature of large business in history, fuelled by the advance of generative AI and AI-powered freelancers,” Freelancer.com’s vice-president of managed services, Bryndis Henrikson told Raconteur. She added that she is seeing businesses increasingly structure themselves around a small internal team. This small team of then augmented by a rotating cast of freelance workers—all of it powered by AI. In a future like this, the nature of digital transformation projects would likely look very different. Not only that, but company “culture” might just disappear forever.

  • Data & AI
  • People & Culture

From generative AI to cybersecurity, the digital maturity gap between digital transformation leaders and laggards is only getting bigger.

Digital transformation has transitioned from a value-add to an existential necessity. From cloud-based computing to generative artificial intelligence (AI), digital transformation initiatives are becoming a fact of life, even in traditionally conservative industries. 

However, while a recent report on digital transformation in the financial sector by Broadridge Financial Solutions found that 75% of executives were confident that tech transformation roadmaps were sufficient to meet coming challenges, the Broadridge analysts also uncovered a slightly more worrying trend. 

The digital transformation gap 

Despite universal acceptance of the necessity of digital transformation, a digital maturity gap is emerging between “leaders and non-leaders.” While Broadridge’s report notes that over two-thirds of leaders say they have made meaningful progress on modernising core IT platforms, far fewer have made progress in other areas of tech and talent innovation. 

Far fewer financial sector leaders were confident in their efforts to leverage cutting edge technologies like generative AI. Many were also meeting pain points when meeting rising cybersecurity challenges, as well as the evolving and increasing needs for “seamless digital customer experiences”.

Skills, not technology 

For many, the digital maturity gap is in of itself a symptom of the skills gap and emerging throughout multiple industries. 

In a recent article for the Harvard Business Review, Rubén Mancha and Salvatore Parise note that “the problem most companies face in executing their digital transformation is not access to technologies but a shortage of workers with digital and data science skills.” 

From rapidly-changing requirements provoked by new technology entering the marketplace, to a perceived talent shortage (which is actually a living wage shortage), and lack of successful investment into upskilling (only 18% of leaders “believe their organisation has made ‘significant progress’ in establishing an upskilling program,” according to a survey by PwC), the very factors driving the need for digital transformation are the ones making it difficult for many companies to meet this rising challenge. 

Mancha and Parise advocate for the proliferation of “digital academies”. This approach “aims to catalyse how employees interact with digital and data science and lead the transformation of processes, products, and services.” 

Digital academies are, they add, not purely focused on technological upskilling, but also serve to reinforce the company’s culture and narrative. Each digital academy needs, then, to be a highly contextual effort. They focus on the application of technology in the context of the organisation and its digital vision. Most importantly, Mancha and Parise stress, they “help create and reinforce a specific culture around tech and innovation in a way that more generalised online trainings simply can’t.”

  • Digital Strategy
  • People & Culture

Tech talent is necessary, even if your core business isn’t rooted in technology. Here’s our top 6 ways to attract top tech talent.

Technology jobs account for a sizable portion of the global economy. In the US, that figure sits at about 8%. With the advent of AI and other transformative technologies, that number is only expected to climb. 

Right now, demand for skilled technology workers still handily exceeds supply. Therefore, organisations need to put thought and effort into sourcing top tech talent. Even if your business isn’t a traditional “technology-focused” organisation, the amount of technology permeating the modern business environment is only going to grow. If every business is a technology business (to some degree), then every business should have access to skilled tech workers. 

Here are our top 6 ways to attract those workers, even if your business isn’t an overtly tech-focused one. 

1. Respect the work-life balance 

One of the reasons people go into technology roles in the first place is the flexibility. Having a flexible schedule that accommodates non-traditional working hours or habits can be a big draw for tech workers. The assumption that a non-tech company will try to enforce a conformist, traditional office culture is one of the reasons why people with top-tier tech skills avoid them like the plague.  

2. Create the opportunity to do meaningful work 

The opportunity to do meaningful work is going to be a huge part of attracting skilled tech workers. Skilled tech proffesionals want to do more than troubleshoot, maintain networks, and chase support tickets. Making it clear that your tech workers will have the chance to work on projects that have a tangible impact on the organisation and its customers is a big incentive, especially when that work is challenging and exciting. 

3. Be open and honest about your level of digitalisation 

Pretending your company is more digitalised than it actually is is a surefire way to ensure tech worker churn. During the hiring process, be honest and open about where you are, where you want to be, and how you plan to get there. If you don’t have a plan, make it clear that you want to work with your IT team to execute your digital transformation

4. Look inside as well as out 

External hires are, in every case, more expensive than internal ones. When looking for IT talent, consider casting your eyes inwards for people with relevant educations. You may find existing workers with tech skills outside their job descriptions and a willingness to upskill. This is especially effective if you are looking to fill more entry-level roles in support of your IT leadership. 

5. Highlight your technology usage in the hiring process 

When hiring a tech worker, it’s important to clearly outline not only the key responsibilities of their role, but the different competencies that will be required of them. Working with your existing IT department to outline these skills can be a good way forward. Also, highlighting the elements of your company that do involve technology using case studies can be an important part of your communications.  

6. Provide room for growth

No skilled IT worker wants to be stuck in the same dingy back room for years maintaining servers and asking people if they’ve tried turning it off and on again. Without room to progress within the company, skilled workers will gather all the experience they can and trade up to another role where they are given space to grow. Show potential hires possible roadmaps for their careers within the company. It’s also important to show them step by step goals and KPIs that can lead to advancement. 

  • Digital Strategy
  • People & Culture

Leaders wishing to build a balanced, successful digital workplace strategy need to balance digital employee experience, cost & security.

The modern workplace has undergone unprecedented changes in the past three years. From mass remote and hybrid work to ongoing digital transformation, the employee experience of work has been fundamentally altered.  

A recent report by Gartner pointed out that one of the most significant changes is the increasing importance of Digital Employee Experience (DEX). DEX refers to how effectively workers can interact with the digital tools in their workplace. A positive DEX empowers a workforce to be engaged, proficient, and productive. Poor DEX creates immediate pain points throughout the organisation, and can hurt morale and talent retention. 

DEX is now considered a major component of overall employee experience. This is especially true after the transformative effects of the last few years, notes the report. However, DEX is just one piece of the puzzle. 

“A successful digital workplace strategy strikes a cost-effective balance between hardware, employee support and cybersecurity while focusing on improving the digital employee experience,” write the report’s authors. 

Steps towards striking the right balance between DEX, cost, and security

Leaders wishing to build a balanced, successful digital workplace strategy need to accomplish several things.

First, at all times, leaders must focus on the return on investment for digital workplace technologies. As workplaces become increasingly digitalised, the capital investment into digital tools is becoming a bigger part of IT overheads.  Gartner’s report recommends leaders “increase the return on investment of digital workplace technologies by focusing on employee enablement and improving digital experience using DEX tools.” 

Additionally the report highlights some of the most impactful digital workplace investments leaders should consider adopting in the near future. IT should focus on designing an agile digital workplace to support a diverse, hybrid workforce and accommodate evolving technological needs. This must be done while managing DEX regardless of location. 

It’s crucial to take ownership of the operational, security, and financial impacts of increasing SaaS application usage. At the same time, leaders must also embrace employee preferences through expanded computing options and consistent support for operating systems. 

Adopting a modern digital workplace operating model, modern endpoint management practices, and empowering employee enablement are essential for scaling the digital workplace and improving technology adoption. Additionally, transitioning from traditional telephony to unified communications and collaboration enhances employee mobility and productivity, while contributing to enterprise-wide sustainability objectives by optimising energy consumption and reducing the carbon footprint. 

  • Digital Strategy
  • People & Culture

Our cover story this month focuses on the work of Arianne Gallagher-Welcher. As the Executive Director for the USDA Digital…

Our cover story this month focuses on the work of Arianne Gallagher-Welcher. As the Executive Director for the USDA Digital Service, in the Office of the OCIO, her team’s mission is to drive a tech transformation at the USDA. The goal is to better serve the American people across all of its 50 states.

Welcome to the latest issue of Interface magazine!

Welcome to a new year of possibility where technology meets business at the interface of change…

Read the latest issue here!

USDA: The People’s Agency

“We knew that in order for us to deliver what we needed for our stakeholders, we needed to be flexible – and that has trickled down from our senior leaders.” Arianne Gallagher-Welcher, Executive Director for the USDA Digital Service reveals the strategic plan’s first goal. Above all, the aim is to deliver customer-centric IT so farmers, producers, and families can find dealing with USDA as easy as using an ATM.

BCX: Delivering insights & intelligence across the Data & AI value chain

We also sat down with Stefan Steffen, Executive Leader for Data Insights & Intelligence at BCX. He revealed how BCX is leveraging AI to strategically transform businesses and drive their growth. “Our commitment to leveraging data and AI to drive innovation harnesses the power of technology to unlock new opportunities, drive efficiency, and enhance competitiveness for our clients.”

Momentum Multiply: A culture-driven digital transformation for wellness

Multiply Inspire & Engage is a new offering from leading South African insurance provider Momentum Health Solutions. Furthermore, it is the first digital wellness rewards program in South Africa to balance mental health and physical health in pursuing holistic wellness. CIO, Ndibulele Mqoboli, discusses re-platforming, cloud migrations, and building a culture of ownership, responsibility, and continuous improvement.

Clark County: Creating collaboration for the benefit of residents

Navigating the world of local government can be a minefield of red tape, both for citizens and those working within it. Al Pitts, Deputy CIO of Clark County, talks to us about the organisation’s IT transformation. He explains why collaboration is key to support residents. “We have found our new Clark County – ‘Together for Better’ – is a great way to collaborate on new solutions.”

Also in this issue, we hear from Alibaba’s European GM Jijay Shen on why digitalisation can be a driving force for SMEs. We learn how businesses can get cybersecurity right with KnowBe4 and analyse the rise of ‘The Mobility Society’.

Enjoy the issue!

Dan Brightmore, Editor

  • People & Culture

Digital transformations undermined by the wrong culture are part of why 70% of digital transformations fail.

Whether it’s generative artificial intelligence (AI), machine learning, or just keeping important documents in the cloud as opposed to a dusty filing cabinet three doors down from accounting, successfully implementing digital transformation is what keeps modern businesses ahead of their competition. 

Gartner recently reported that 87% of business leaders place digital transformation high on their agenda, and according to Deloitte, the correct application of digital transformation strategies could unlock as much as US$1.25 trillion in value across the Fortune 500. However, the same report found that “the wrong combinations can erode market value, putting more than US$1.5 trillion at risk.” 

Identifying the risks 

While a huge majority of organisations are attempting to embrace digital transformation, there’s a significant difference between starting a digital transformation project and successfully completing it. In the finance sector—one of the most enthusiastically digitising industries—a report by McKinsey found that, between 2001 and 2021, only 30% of banks that underwent a digital transformation reported successfully implementing their digital strategy, with the majority falling short of their stated objectives. This low success rate, McKinsey analysts note, holds true across most industries. 

So, why do the majority of digital transformation efforts fall short of their intended targets, costing organisations money and valuable time? According to experts, it’s an organisation’s culture that may play a more important role in its ability to adopt new technology than IT budgets, digital savviness, or the technology itself.  Dr Jonathan Reichental, an adjunct professor at the University of San Francisco, believes this “serious disconnect between intentions and outcomes” is due to the all-too-frequent absence of a positive culture. He goes on to quote management consultant Peter Drucker, who said “culture eats strategy for breakfast.”

Across multiple disciplines, from supply chain to cybersecurity, decision-makers are waking up to the fact that digital transformation needs (and, some might argue, can only take place) in a culture willing to embrace it. “The technology challenges we can solve. Often our most significant hurdle is company culture,” explains Gary Parker, the CTO in Residence at cybersecurity firm Zscale. 

Building a culture that’s open to digital transformation

According to various consultants at Deloitte, McKinsey, and Accenture (many of whom are probably out of a job right now, so maybe take their wisdom with a pinch of salt), there are a number of ways business leaders can nudge their company culture in the right direction to clear the way for a successful digital transformation that sticks. 

Assess cultural risk by initiating an organisation-wide program that can effectively analyse your organisation’s existing culture. This will help detect areas where changes need to be made, obviate challenges, and implement behavioural changes essential for your digital transformation to be a success. 

Next, attract top tech talent to avoid outsourcing the digital transformation. In what I can only describe as an extremely evolved piece of advice from business consultants, Deloitte analysts emphasise the need to attract and retain top-tier tech talent internally rather than outsourcing transformation efforts. 

Lastly, “overinvest” in your culture shift. Prioritise investment in cultural transformation, even if not directly tied to technological advancements or short term revenue. Recognise that fostering a supportive and innovative environment is foundational to successful digital initiatives. Allocate resources generously to initiatives promoting cultural evolution, acknowledging their pivotal role in driving sustainable digital transformation.

“Ultimately, it is people that make a company. Regardless of what your company does or who your customers are, it is the people behind that logo or brand who will help you bring revolutionary change and success to your organisation,” writes Parker. “Don’t dip a toe into change. Lead and leap head first, and don’t forget to bring your people along with you.”

  • Digital Strategy
  • People & Culture