Building data agents enterprise can actually trust
- WHO IT IS FOR: This event is designed for Chief AI and Data Officers, CTOs, VPs of Engineering, enterprise architects, and AI infrastructure leaders.
- WHAT IT IS ABOUT: The session focuses on the architectural requirements and governance needed to build reliable, production-grade data agents for the enterprise.
- FORMAT: This is a private executive forum featuring a keynote presentation and candid expert discussions.
While many organizations are experimenting with AI agents, very few have mastered the art of building data agents that reason reliably over fragmented enterprise information. The challenge lies not in the LLM choice, but in the foundational infrastructure—including semantic layers, knowledge graphs, and identity governance—that prevents dangerous hallucinations in production.
Join Jerry Xi, AI Platform Architect at Oracle, along with leaders from First American Title and Open Future Forum, for an in-depth exploration of the production-grade data agent stack. You will learn why the semantic layer is a critical differentiator over simple text-to-SQL approaches and how to implement rigorous evaluation frameworks to ensure output trust.
Attendees will gain operational lessons from experts who have scaled AI infrastructure at companies like Meta, Lyft, and Box. This executive forum provides a rare opportunity to discuss the realities of deploying trustworthy AI at scale in a collaborative, professional environment.