Women have long played a central role in the learning profession, yet their contributions, leadership journeys, and influence are often under - recognized. This session explores the evolving role of women in learning and development, highlighting the experiences, achievements, and perspectives shaping the profession today and into the future.

Accessibility is often framed as a legal requirement or a specialist concern, yet it fundamentally shapes who can participate in learning and how effectively they can engage. This session takes a practical look at accessibility in online learning, exploring how organisations can create more inclusive experiences without sacrificing quality, speed, or sustainability.

As artificial intelligence becomes embedded in everyday work, many organizations are concentrating their efforts on tools, use cases, and efficiency gains. Yet the most significant shift is not technological but cognitive. This session explores how AI is changing the way people think, decide, and create at work, and why organizations must move beyond skills training toward a more intentional approach to governing human thinking in an AI-enabled environment.

The learning technology conversation is often dominated by trends, tools, and bold claims, but what’s actually changing in day-to-day practice is more nuanced. This session block cuts through the noise, using research and real-world experience to examine how learning teams are truly applying technology today, where progress is genuine, and where expectations may need to be reset. Together, these sessions help learning leaders ground their decisions in evidence, not hype, and better understand what matters most in the next phase of learning technology adoption.

AI agents promise significant gains in productivity, but their real impact only emerges when organisations rethink how work, decisions, and accountability are structured. This session moves beyond individual experimentation to examine what agents actually change when embedded into shared workflows, governed systems, and organisational processes. It challenges the assumption that agents are simply better tools, reframing them as catalysts that force new thinking about decision rights, data, and trust at scale.

As expectations for speed and impact rise, learning teams are being pushed to rethink how tools are designed, built, and evolved. This session explores how accessible AI-powered development tools are lowering the barrier to experimentation and creation, allowing learning professionals to move from ideas to usable solutions without relying on long development cycles or specialist roles. It challenges assumptions about who can build learning tools and what productivity looks like in an AI-enabled learning function.

As AI becomes embedded in everyday work, it is forcing a fundamental re-examination of L&D’s purpose, influence, and identity. This session block explores how the profession is shifting away from content creation toward organisational enablement, system design, and strategic impact, drawing on both global research and lived leadership experience. Together, these sessions challenge long-held assumptions about L&D’s value and offer a clear-eyed view of what it will take for the profession to remain relevant in an AI-enabled future.

Disruption has become the default context for L&D, yet many learning teams remain stuck in reactive mode. This session challenges that stance, exploring how learning leaders can turn uncertainty into a source of business value rather than ongoing strain. It reframes L&D as a catalyst for change adoption and organisational learning, provided leaders are willing to step into a more intentional, influential role.

Award-winning learning technology projects rarely succeed because of tools alone; they succeed because of how technology, design, and business needs come together in practice. This session goes behind the scenes of Learning Technologies Awards winners to explore what actually drove impact, where trade-offs were made, and what teams learned along the way. It challenges attendees to look past polish and prizes, focusing instead on transferable lessons that can inform smarter decisions in their own organisations.

Many organizations talk about becoming skills-based, but far fewer understand what that shift actually requires. Moving beyond job titles and credentials is not a simple change to learning programs or hiring practices. It represents a fundamental rethink of how work is defined, how people are developed, and how decisions are made across the organization. This session explores what it truly means to operate as a skills-based organization and why many well-intentioned efforts stall before delivering impact.

Skills strategies often falter not because the frameworks are wrong, but because they fail to translate into everyday performance. This session block challenges the assumption that defining skills is enough, shifting the focus toward practice, application, and experience as the real drivers of capability. Drawing on both strategic perspective and lived organisational experience, these sessions explore what it takes to move skills from abstract models into the flow of work.

As AI claims dominate the learning technology market, organisations face a different challenge than implementation: knowing what is real, what is mature, and what is simply marketing. This session provides a robust independent analyst view of how AI is actually reshaping corporate learning and the learning vendor landscape, offering clarity for L&D teams navigating an increasingly crowded and confusing market.

As organizations move faster and operate under increasing uncertainty, traditional learning models are struggling to keep pace. Teams need more than courses and frameworks; they need support that removes friction, accelerates performance, and enables the business to move. This session explores how an enablement mindset reframes the role of L&D from content provider to operational partner, focused on solving the problems that get in the way of real work.

As AI moves from novelty to necessity, learning teams face a new challenge: scaling its use without sacrificing quality, relevance, or trust. This session examines what it really takes to operationalise AI in learning, moving beyond pilots to embed intelligent tools into everyday practice. It challenges the assumption that scale comes from automation alone, highlighting where human judgment remains essential in building effective, responsible learning at scale.

As organisations look to the future of learning, frontline work exposes the limits of traditional training models more clearly than anywhere else. This session block reframes learning through the realities of high-pressure, operational environments, exploring how enablement, embedded directly into work, has become a critical differentiator for L&D. Drawing on both frontline insight and real-world practice, these sessions challenge assumptions about content, time, and delivery, offering lessons that extend far beyond frontline roles.

As expectations of L&D continue to rise, operational effectiveness has become a decisive factor in whether learning delivers real impact or remains constrained by friction. This session reframes learning operations as a strategic enabler, showing how workflows, ownership, and collaboration directly shape L&D’s ability to move at pace and align with business priorities. It challenges the assumption that operations are a back-office concern, positioning them instead as a core driver of scale and credibility.

In complex, high-pressure environments, engagement and creativity don’t emerge by accident; they are designed. This session reframes playfulness as a strategic mindset rather than an activity, showing how it supports psychological safety, collaboration, and learning in meaningful ways. It challenges the assumption that play undermines professionalism, offering practical insight into how intentional playfulness can strengthen both learning experiences and everyday work.

Learning teams are awash in data, yet often struggle to translate it into influence or action. This session reframes learning analytics as a decision-making capability, focusing on how credible data and disciplined analysis can shift conversations with the business. It challenges the assumption that dashboards equal insight, showing how learning data can be used to question assumptions, guide priorities, and improve performance.

Many skills initiatives falter not because learning falls short, but because the organisational systems around it remain unchanged. This session challenges the assumption that skills transformation can be delivered through frameworks and programmes alone, reframing it as a broader organisational shift involving structure, governance, and leadership behaviour. It offers learning leaders a clearer understanding of where skills efforts really succeed, or quietly fail, and what L&D must recognise about the system it operates within.

The Chief Learning Officer role is being reshaped by constant disruption, forcing learning leaders to rethink how they balance rigour, adaptability, and influence. This session explores how CLOs are shifting from command-and-control delivery models toward organisational enablement, coaching, and systems thinking, while still maintaining credibility through measurement and discipline. It offers a pragmatic view of what effective learning leadership looks like when change is continuous rather than episodic.

Learning is under more scrutiny than ever, yet many organisations still rely on metrics that say little about real impact. This session challenges the assumption that measurement is a reporting exercise, reframing it as a strategic discipline that connects learning to performance and business outcomes. It explores how learning teams can move from activity tracking to evidence that genuinely informs decisions and earns credibility with stakeholders.

Change is no longer something organisations move through; it’s the environment they operate within. This session reframes change leadership for a world where the future is still forming, using a three-horizons lens to help leaders navigate what’s stable, what’s emerging, and what may fundamentally reshape work and learning. It challenges linear change assumptions and offers a pragmatic way to sustain momentum, trust, and adaptability amid continuous uncertainty.

After years of investment in platforms and tools, many organisations are questioning why learning transformation has delivered so little real impact. This session challenges the assumption that technology alone drives change, reframing transformation as a systemic effort that spans strategy, operating models, data, and stakeholder alignment. It offers learning leaders a clearer lens for building cohesive learning ecosystems that support performance, skills, and decision-making at scale.

In many technical domains, the most important aspects of performance are invisible, making expertise hard to teach and even harder to scale. This session explores how AI can be designed not as a replacement for human judgment, but as a learning partner that makes complex systems visible, understandable, and safe to explore. It offers a compelling example of how intelligent technologies can transform vocational learning by supporting sense-making, reflection, and continuous improvement.

As AI moves from tools to systems embedded in everyday work, responsibility can no longer be addressed through policy statements, ethics checklists, or compliance frameworks alone. The real risks and opportunities emerge in how AI reshapes decisions, accountability, autonomy, and human judgment inside organisations. This session examines responsible AI through a workplace lens, focusing on what happens when intelligent systems begin to influence how work is performed, coordinated, and evaluated. It challenges common assumptions that responsibility sits primarily with developers or governance bodies, arguing instead that it is determined by the design of workflows, incentives, and organisational structures surrounding AI use.

As organisations confront change that is unprecedented in both speed and consequence, ethics and governance are no longer abstract concerns or compliance exercises. They are the frameworks that guide decisions when certainty is low and the implications of action are high. This session explores how values and ethical governance shape judgement, influence behaviour, and enable constructive action, particularly in environments transformed by data, automation, and AI.

As work changes faster than roles can keep up, learning teams are being pushed to rethink how capability is defined and developed. This session explores how competency-based learning can move beyond theory to become a practical foundation for scalable, performance-focused development. It challenges the assumption that competency frameworks are inherently complex, showing how thoughtful design can anchor learning ecosystems that are both effective and learner-centred.

Immersive learning is moving out of the experimental phase and into a period of strategic reckoning for learning leaders. This session examines what recent advances in hardware, platforms, and accessibility mean for the future role of immersive approaches within learning ecosystems. It challenges organisations to think beyond novelty, focusing instead on the conditions under which immersive learning can deliver sustained, business-aligned value.

L&D careers have always evolved, but the assumptions that once shaped progression, expertise, and stability are no longer holding. This session explores how learning professionals are rethinking growth, relevance, and identity in a world where roles, expectations, and operating models are constantly shifting. Through personal reflection and practitioner insight, these sessions invite attendees to question inherited career narratives and consider what it really means to future-proof themselves, their teams, and the profession.

In periods of uncertainty, organisational failure is often less about missing information and more about the conversations that never happen. This session reframes psychological safety as an operational requirement, not a cultural “nice to have,” showing how it underpins learning, governance, and sound decision-making. It challenges learning leaders to see psychological safety as a condition that must be intentionally designed and sustained, particularly when stakes are high and assumptions need to be tested.

When learning is directly tied to humanitarian, social, or environmental outcomes, there is little room for abstraction or inefficiency. This session explores how mission-driven organisations design, scale, and measure learning in complex, resource-constrained environments where impact truly matters. It challenges learning leaders to reconsider what focus, accountability, and value look like when learning is expected to change lives—not just metrics.

As conversations about the future of work become increasingly dominated by technology, automation, and artificial intelligence, a critical question risks being overlooked: what does meaningful, engaging work look like for the people doing it? This session explores the human dimensions of the future of work, examining how leadership, communication, and behavioural science are all essential for the motivation, learning, and performance of the modern workforce.