Ulterior.live
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

Vincent Fages Gouyou

Speaker 1

EMEA Sr. Director of Product Management at Denodo

Denodo

Vincent Fages Gouyou is Denodo’s EMEA Sr. Director of Product Management, leading product design and strategy across the region. With over 28 years of experience in the enterprise software and professional services industry, Vincent is a passionate technology advocate, committed to driving business innovations through cutting-edge data and AI technologies. Prior to Denodo, Vincent held various roles across the industry. His career has spanned from technical leadership roles implementing complex data management solutions and architectures, to enterprise solutions consulting, including leading a hardware and software-based startup connecting buildings’ IoT devices to enhance operational efficiency and the tenants experience.    At Denodo Vincent serves as a vital bridge between customers and the product development organization, shaping and prioritizing the product roadmap. Vincent enjoys working and building strong partnerships with Denodo’s customers and partners to better understand the market’s needs and driving the adoption of Data Management and Integration technologies leveraging the latest technology innovations.

SUBJECT MATTER EXPERT

Joel Farvault

Speaker 1

Principal Specialist Solution Architect GenAI & AI/ML for Automotive & Manufacturing at AWS

AWS

Joel Farvault is Principal Specialist SA, Analytics at AWS. He previously led AXA's Augmented Claims department, applying AI and ML to fraud analytics and claims automation, and served as Chief Data Officer for AXA International & New Markets and Head of Regional Architecture, Data and Innovation. With nearly two decades in data strategy and architecture spanning insurance and banking, he holds a Master's in Computer Science from CNAM in Paris and is fluent in French, English, and Italian.

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.