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.

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.

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.

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 agents are no longer theoretical. They’re researching products, negotiating terms, automating approvals and completing purchases – acting on behalf of people and organisations in real digital ecosystems. The age of agentic AI has begun, bringing with it new opportunities for productivity, customer engagement and automation.
But with opportunity comes complexity.

Today’s identity systems were designed for humans, not autonomous agents.
How do you know which agent is acting on behalf of which employee or customer?
How do you verify their intent, authorise their scope, or revoke their access?

Without trusted digital frameworks, agentic interactions – whether internal or customer-facing – risk becoming opaque, insecure, and impossible to govern, threatening operational integrity and customer trust alike.
Alex Laurie, GTM CTO at Ping Identity, will dive into how businesses can enable, authenticate, and govern AI agents across consumer and workforce channels.

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.

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.

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.

AI agents are no longer theoretical. They’re researching products, negotiating terms, automating approvals and completing purchases – acting on behalf of people and organisations in real digital ecosystems. The age of agentic AI has begun, bringing with it new opportunities for productivity, customer engagement and automation.
But with opportunity comes complexity.

Today’s identity systems were designed for humans, not autonomous agents.
How do you know which agent is acting on behalf of which employee or customer?
How do you verify their intent, authorise their scope, or revoke their access?

Without trusted digital frameworks, agentic interactions – whether internal or customer-facing – risk becoming opaque, insecure, and impossible to govern, threatening operational integrity and customer trust alike.
Alex Laurie, GTM CTO at Ping Identity, will dive into how businesses can enable, authenticate, and govern AI agents across consumer and workforce channels.

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

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

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

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.

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.

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.

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.