This keynote sets the strategic foundation for the day, exploring how organizations are moving beyond isolated AI use cases toward integrated, agentic systems that deliver measurable business outcomes. Drawing on IDC research, this session will clarify where AI is already creating tangible value, where expectations exceed reality, and how leading enterprises are evolving their operating models to capture sustainable advantage.

Industry leaders discuss how AI is translating into measurable business outcomes across functions and industries. The panel will examine proven use cases, common value traps, and what differentiates organisations that achieve ROI from those still stuck in experimentation. The discussion will also address how value creation is evolving as organisations move toward more autonomous, agentic capabilities

AI is everywhere in the enterprise but most of it doesn’t get past the pilot stage. Fragmented systems, governance gaps, and disconnected tools slow AI down before it delivers real value. This fireside chat gets candid about what it actually takes to move AI from experimentation to enterprise-scale execution and why governance and platform strategy matter as much as the models themselves.

This session focuses on the strategic choices organisations must make to scale AI in Europe, where sovereignty, diversity, and workforce dynamics shape how adoption unfolds. It will examine different operating models for scaling across fragmented markets, how to balance centralisation vs localisation, and how leading organisations are aligning technology, talent, and governance to accelerate adoption. The session will provide a clear framework for making AI investment and scaling decisions in the European context.

Agentic AI has rapidly moved from concept to capability – systems that can plan, act, and adapt with increasing autonomy are already reshaping how work gets done. But as organisations begin to operationalise these tools, bigger questions emerge: What does the next phase of agentic AI look like? How do we move from experimentation to scalable impact? And what new risks, responsibilities, and opportunities come with machines that don’t just respond – but initiate?

And beyond agents, what about AI as a whole? The field has a habit of surprising even its own researchers. Frontier research is moving fast in directions whose implications we’re only beginning to grasp: long-horizon reasoning, self-improving systems, world models. And then there are the unknown unknowns: capabilities that don’t yet have a name, emerging from labs that haven’t been published yet.

This panel will peer into the crystal ball and explore not only what’s next for agentic AI, but what’s next for AI overall……including the developments we don’t yet see coming.