This article was originally published in the HRDirector The Urgent Need for Workforce Upskilling AI enhances efficiency, but humans drive the strategy. While artificial intelligence can process vast amounts of data in seconds, it is human insight and strategic thinking that transform that data into meaningful decisions. The future isn’t just about machines... it’s about how we, as humans, leverage those machines to create smarter, more effective outcomes. HR leaders are at the forefront of this transformation. As AI, data, and digital technologies reshape industries, the real challenge isn’t just integrating these tools - it’s equipping people with the skills to collaborate effectively with them. Future-ready organisations understand that investing in human potential is just as critical as investing in technology. Businesses that fail to embrace the efficiencies of transformation risk falling behind, while transformation itself will falter without a mindset that embraces change and fosters adaptability, collaboration, and innovation. By cultivating a culture of continuous learning, organisations can drive successful transformation while enhancing engagement and retention. The Human Advantage in an AI-Driven World AI is revolutionising the way we work, automating tasks, streamlining processes, and providing insights at an unprecedented speed. Yet even the most advanced AI lacks the creativity, emotional intelligence, and strategic foresight that only humans possess. Human skills such as critical thinking, empathy, and communication differentiate successful teams from those that simply follow the data. AI can analyse information, but it takes human judgement to contextualise that data and make decisions that align with business goals and ethical considerations. "AI accelerates data processing, but it's human creativity and strategic thinking that transform information into actionable decisions." Phil Yeoman, CDO The Rise of Power Skills Technical expertise alone is no longer sufficient for achieving organisational success. The emphasis has shifted towards "power skills", formerly known as soft skills, which are pivotal in fostering effective collaboration and driving business growth. The Evolution from Soft Skills to Power Skills Historically, attributes such as communication, empathy, and adaptability were labelled as "soft skills", often perceived as secondary to technical abilities. However, recent insights underscore their critical importance, leading to their rebranding as "power skills". This shift highlights their role in empowering individuals and teams to excel in collaborative environments. A study by Pearson in 2022 revealed that the top five most in-demand skills across major job markets are human-centric, including collaboration and customer focus. This trend is projected to continue, especially with the growth in AI, emphasising the sustained value of power skills in the workforce. Cultivating Human Skills in the Workplace Recognising the importance of power skills, businesses are investing in their development to enhance collaboration and overall performance. Gamified learning and team simulations offer experiential learning that increases engagement, retention, and application. Who does not like learning through play? Mentorship programmes have emerged as effective tools in skill-building. Research highlighted by Reuters indicates that mentored individuals earn 15% more than their non-mentored peers, attributing this to improved confidence and teamwork abilities. The rise of "fractional twinning", where part-time executives share roles, underscores the demand for adaptability and emotional intelligence in leadership positions. This approach allows businesses to access specialised skills flexibly, fostering a culture of continuous learning and collaboration. In an era where technological advancements are reshaping industries, power skills remain the cornerstone of effective collaboration and business success. By prioritising the development of these skills, organisations can cultivate resilient, innovative, and cohesive teams poised to navigate the complexities of the modern workplace. Why We Learn Better Together Learning is often seen as a solitary pursuit, but research consistently shows that learning in social contexts significantly enhances understanding, retention, and application of knowledge. Whether through collaboration, simulation, discussion, or observation, social learning taps into our innate human tendencies to connect and share, making it a powerful tool for professional development. The Science Behind Social Learning Social learning is grounded in neuroscience and psychology. Studies indicate that when we learn in groups, our brains are more engaged, and we process information more deeply. Consider these key insights: Collaborative Learning Increases Retention: A study published in Psychological Science found that people who learn through discussion, group activities, or simulations retain up to 50% more information than those who study alone. The Role of Mirror Neurons: When we observe others performing tasks, our brain’s mirror neurons activate, helping us understand and replicate their actions more effectively. Boosting Cognitive Load Management: Group learning allows individuals to divide complex tasks, reducing cognitive overload and enhancing problem-solving efficiency. Social learning does not just help us remember facts, it helps us apply what we have learned in practical, real-world contexts, making it an essential approach for workforce upskilling. How Social Learning Shapes Professional Success In the workplace, social learning is a cornerstone of effective training and collaboration. Consider these statistics: 70:20:10 Learning Model: Research shows that 70% of workplace learning happens through on-the-job experiences, 20% through social interactions, and only 10% through formal training (Centre for Creative Leadership). Faster Skill Acquisition: Teams that engage in collaborative learning complete training programmes 30% faster than those relying on individual learning (Harvard Business Review). Knowledge Sharing Boosts Innovation: Companies that encourage peer-to-peer learning see a 25% increase in innovation due to the diverse perspectives shared in group settings (McKinsey & Company). By fostering a collaborative environment, organisations can upskill employees more efficiently while creating a culture of continuous improvement. Harnessing the Benefits of Social Learning Whether in classrooms or corporate offices, organisations can implement social learning strategies to maximise impact. Here is how: Encourage Collaboration: Use group projects, team brainstorming sessions, and peer feedback to foster interactive learning. Leverage Technology: Digital tools enable seamless collaboration, and simulation activities offer immersive, experiential learning that enhances retention. Create Safe Learning Spaces: Cultivate an environment where learners feel comfortable sharing ideas, asking questions, and learning from mistakes. By integrating social learning principles into your strategy, you can unlock higher engagement, deeper understanding, and better outcomes. The Takeaway Humans are social creatures, and our learning thrives when it is collaborative. Whether we are working on a group project, sharing insights with colleagues, or discussing ideas in a boardroom, social learning makes the process more effective, enjoyable, and impactful. “If you want to go fast, go alone. If you want to go far, go together.” The future belongs to those who lead it. By embracing the power of social learning and prioritising human skills alongside AI advancements, organisations can ensure they stay ahead and are future fit.
Strategy is just the start. At Eden Smith, we know that transformation only sticks when culture, behaviours and mindsets evolve too. Discover how we help organisations unlock lasting change through people-first thinking and immersive learning.
Would You..? Would you step into a taxi if the driver had only learned to drive by reading the manual? Or trust a surgeon who picked up their skills from YouTube videos alone? Probably not. Yet, when it comes to data literacy, many organisations take a similar approach - believing that a series of online courses and a few training sessions will be enough to transform how employees work with data. Despite significant investments in data literacy programmes, many organisations struggle to turn the lessons into action. In many cases, employees rush ‘click-through’ online courses, eager to obtain badges that look good on their profiles. Yet these digital credentials rarely translate into meaningful application. Similarly, team members attend workshops and obtain certifications for attendance, but their daily practices remain unchanged. Why? Because learning isn’t a one-time event - it’s a continuous process. And without reinforcement, most of what is taught is quickly forgotten. So, what does it take to truly embed data literacy into an organisation’s culture? Let’s explore further. The Common Challenge with Most Data Literacy Approaches Most data literacy programmes treat learning as an event rather than a continuous process. Often viewed as a one-time initiative, these programmes are typically structured around intensive training events. Initial enthusiasm is common, but the momentum quickly dissipates once employees return to their everyday tasks, leaving little to show in terms of sustained behavioural change. This pattern aligns with research on knowledge retention. Research shows that individuals forget a significant portion of what they learn within days or weeks. A one-off online course, workshop or webinar, no matter how engaging, rarely translates into long-term skills or improved workplace habits. The challenge lies not just in transferring knowledge but in ensuring that it becomes embedded in practice, applicable in real-world situations, and sustainable over time. Most data literacy programmes often fall short of addressing these goals, leaving learners disconnected from the material and struggling to retain what they’ve learned. The Science Behind Effective Learning Understanding how our brains naturally change and adapt to new information can help us find better ways to learn and remember things. By using techniques that match how our brains work, we can develop habits that stick. These habits not only make it easier to remember what we learn but also help turn that knowledge into regular, meaningful actions over time. Three key mechanisms are particularly important for developing skills: Learnings that Stick One of the biggest challenges in learning is making sure we remember what we've learned after the training is over. Strategies that help combat the challenges of memory retention are micro-learning, spaced repetition and retrieval practice. Micro-learning, which involves breaking down information into bite-sized, focused sessions, provides an efficient structure for learning, delivering content in easily digestible formats. These shorter, more concentrated learning bursts allow for better engagement and are particularly effective for complex or technical subjects. To reinforce this, Spaced Repetition schedules revisit learned materials at carefully planned intervals. This method tackles the forgetting curve by strengthening neural pathways through repeated exposure over time, rather than overwhelming. Complementing this is Retrieval Practice, which actively engages the learning in recalling what has been learnt, for example through quizzes or summarising key points. Adding fun elements like leaderboards, badges, and polls can also make learning more engaging. These strategies not only help us remember information but also make the learning process enjoyable, memorable and easier to apply when needed. Repeated practice significantly outperforms single-session learning. When we repeat activities, neural pathways strengthen, making skills more automatic and accessible. Learning by Doing This approach, also known as experiential or active learning , focuses on direct participation and hands-on activities. The "generation effect" supports this by showing that the act of producing answers improves memory and understanding. Furthermore, physical tasks, like using tools and technology, activate sensory and motor areas of the brain, leading to deeper learning. It builds on foundational knowledge and avoids cognitive overload as complex tasks are introduced only after solid basic knowledge is established. By actively working with materials in real-world or simulated settings, learners connect the theory to practice. Contextual relevance plays a key role in improving knowledge transfer. Skills learned in isolation from their application context require significant cognitive effort to transfer to real-world situations. Direct involvement in problem-solving with their newly acquired knowledge empowers learners to construct their own understanding rather than passively receiving information. 'Learn by Doing' shifts learning from passive to active. Learning with Others Learning with others taps into the natural way humans develop and refine skills - through social interaction . By observing peers, exchanging ideas, and working together, individuals can reinforce their understanding and pick up new techniques in a supportive environment. Activities such as discussions, collaborative problem-solving, and peer feedback create a sense of community that promotes shared learning and long-term improvement. Key to this approach is the integration of three principles of the AGES Model™*: Attention, Generation, and Emotion. By learning with others, individuals remain more attentive, as the group dynamic reduces distractions. It also supports generation, where new knowledge is actively linked to past experiences, sparking insights. Emotionally, social interactions heighten the learning experience, embedding it deeper into memory by connecting the material with shared feelings and relationships.
AI adoption is booming - but are your data foundations ready? Discover the essential, often overlooked building blocks of successful AI implementation, from governance to infrastructure, in Eden Smith’s latest insights.
Learn how to build a data portfolio that stands out. From academic and personal projects to real-world applications, discover how to showcase your technical skills, storytelling ability, and impact to impress data leaders.
Explore how the role of Chief Data Officers is evolving from centralised control to business enablement. Learn why recognising data as a business asset is key to unlocking value, driving collaboration, and building organisation-wide data literacy.
Explore how the role of Chief Data Officers is evolving from centralised control to business enablement. Learn why recognising data as a business asset is key to unlocking value, driving collaboration, and building organisation-wide data literacy.
In an age of constant digital transformation, data powers everything from customer insights to business innovation. However, the environmental impact of managing vast data systems is becoming harder to ignore. With the rise of sustainability mandates and consumer demand for responsible business practices, green data management is emerging as a critical differentiator. Companies that prioritise …
In today’s digital economy, data has emerged as a pivotal asset, driving innovation, efficiency, and competitive advantage. Recognising this, recent regulatory developments have formally acknowledged data as a critical business asset. Prompting organisations to reassess their strategies and governance frameworks.
We’re delighted to announce that Eden Smith has been shortlisted as a Finalist in the British Data Awards 2025 in the Best Place to Work in Data category! The British Data Awards celebrate organisations leading the way in the UK’s vibrant data ecosystem.
