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Many organisations have moved beyond agentic AI experimentation, but turning promising pilots into trusted, enterprise-scale capabilities remains a significant challenge. 

The constraint is rarely the model - it’s the data underneath it: fragmented, inconsistently governed, and often stale by the time an autonomous agent needs to act on it. As AI shifts from generating answers to taking action, trust, governance and business context become the deciding factors in whether it scales or stalls, and in whether it delivers measurable business outcomes.

This closed-door executive roundtable brings together senior data, technology and AI leaders to explore what it actually takes to ground autonomous agents in live, reliable enterprise data and obtain outcomes the business wants. The discussion will focus on sharing practical lessons on architecture, governance, cost and performance, and organisational readiness. We’ll explore what separates initiatives that scale from those that stay stuck.

Discussion

Topics

If your AI agents are only as good as the context they can see, what's actually stopping them from getting trusted, business-ready context from your data today?

Is data quality and access still the biggest constraint on scaling agentic AI in your organisation, or are governance, performance and cost (including token consumption) now just as limiting?

For those operating across multiple EMEA jurisdictions, is data sovereignty a blocker you've solved, or one you're avoiding by scoping pilots narrowly?

What guardrails and governance would have to be in place for your board to trust an autonomous agent's decision the way they trust a human's?

Over the next 12 months, where should you invest first to deliver business outcomes from agentic AI: data foundations, AI capabilities, governance or skills?

SUBJECT MATTER EXPERT

Kijoon Lee

Speaker 1

VP, Strategic Alliances at Denodo

Denodo

Kijoon Lee leads Denodo's global strategic alliance with AWS, driving the joint go-to-market and technical roadmap behind integrations such as Amazon Bedrock AgentCore, SageMaker, and Amazon Quick. He works at the intersection of Denodo's Data AI Data Layer and AWS's AI infrastructure, helping joint customers put governed, real-time enterprise data behind their AI agents.

SUBJECT MATTER EXPERT

Luis Campos

Speaker 1

Sr. Sales Specialist Data & AI for Europe North at AWS

AWS

Luis Campos is Sr. Sales Specialist for Data & AI, Europe North at AWS, based in Amsterdam. With over 25 years in data and AI, he has held leadership roles at Oracle and AWS, driving data modernization and AI governance strategy across EMEA. He holds a Computer Engineering Master's from Minho University and an MBA from Nova University Lisbon, and is a sought-after speaker on trustworthy AI governance and human-AI collaboration.

ABOUT

Denodo

Denodo is the AI data layer company. The award-winning Denodo Platform powers trustworthy agents and applications, transforming enterprise data into reliable insights for analytics and self-service. Organizations worldwide deploy Denodo alongside their data lakehouses to deliver AI-ready, business-ready data in a fraction of the time — achieving up to 4x faster time to insight, 345% ROI, and 10x better performance.