From AI breakthroughs to bottom‑line impact

At AI Summit London, the focus shifts from AI experimentation to enterprise‑scale execution. As AI becomes the operating system of the enterprise, organizations face mounting pressure to move beyond disconnected tools, pilots and copilots—and coordinate AI capabilities across the business to deliver real outcomes.

AI is rapidly redefining how enterprises build software, run operations and engage customers. Yet many organizations still struggle to translate innovation into measurable value.

The next phase of AI adoption depends on enterprises orchestrating AI agents, modernizing data foundations and governing AI at scale. Whether you’re shaping strategy as a business leader or driving implementation as a technology leader, AI Summit London 2026 provides practical guidance on scaling AI responsibly. It helps organizations unlock productivity, accelerate innovation and embed AI seamlessly into everyday workflows.

Join industry leaders, practitioners and partners to explore how enterprises can move from isolated AI initiatives to reliable, secure and value‑driven AI systems that transform how work gets done.

Agenda

10 June
11 June

Executive keynote at AI Summit headliners main stage

In this keynote, IBM® outlines how organizations can advance beyond isolated pilots and establish orchestrated, governed agentic systems that drive transformation across the enterprise. Learn how to scale AI responsibly by coordinating agents across domains, enforcing end-to-end control and unlocking visibility into performance and cost.

The session also examines how development teams must evolve—adopting agentic workflows across the SDLC to build faster, with greater quality and control. This blueprint is the foundation for turning AI ambition into enterprise-wide outcomes.

Speakers:
Parul Mishra, VP WW Sales, IBM Software

Session details

Beyond AI@Scale stage

As governments and enterprises race to scale AI, a fundamental shift is underway—success is no longer defined by how fast you adopt AI, but by how well you control it.

Regulatory pressure, geopolitical uncertainty and the rise of mission-critical AI systems are forcing leaders to rethink where AI runs, who governs it and how decisions can be proven under scrutiny.

Learn why sovereignty is becoming the new foundation for AI, moving beyond data residency to operational, technological and governance control. See how leading organizations are shifting from experimentation to production by embedding sovereignty into the architecture itself.

The future of AI isn’t only powerful—it’s provable, governed and sovereign by design.

Speakers:
Daniel Moul, Principal Product Manager, IBM Software

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Humans at the helm: Leading agentic AI in the enterprise

By 2026, AI agents will make more enterprise decisions than ever, but the real advantage will belong to the humans guiding them.

This session explores the rise of ‘agent controllers’—humans at the center of AI workflows—shaping autonomous systems to drive efficiency, innovation and value while maintaining trust and accountability.

It will also cover strategies and best practices organizations can adopt to ensure that humans remain effectively in control while maximizing value and minimizing risks.

Speakers:
Seb Weir (inclusion in the panel discussion), Executive Partner | AI, Analytics and Automation Practice Leader (UKI)

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Data excellence stage

Imagine making critical business decisions relying on last month’s data, without the context to understand what’s changed. Now layer agents on top of that scenario. Instead of improving outcomes, AI accelerates the problem.

Agents can transform how businesses respond, but only when they have real-time data with the right context. But today organizations struggle to capture, contextualize and persist real-time data for governed access and reusability, leaving AI to rely on incomplete or outdated information.

In this session, learn how to deliver real-time data as context for AI from both structured and unstructured sources across hybrid environments. We’ll explore how streaming and historical data integration, governance and an open, hybrid data foundation work together to power agents and your business to act with confidence. This architecture enables the right data at the right time.

Speakers Dr. Charna Parkey, Product and AI Strategy, watsonx.data, IBM

Session details