Keynote Presentation: Agents Don't Just Need Your Data. They Need to Know What It Means

Enterprise AI agents need more than access to data—they need context that helps them understand what enterprise data actually means. In this keynote presentation from AI Enterprise Conference 2026, Ben Sanders of Teradata explores why semantic understanding is an important consideration for organizations building agentic AI systems for production environments. “Agents Don’t Just Need Your Data. They Need to Know What It Means” focuses on the relationship between enterprise data and the context AI agents require to work with it effectively. As organizations move from AI pilots toward production, connecting agents to enterprise information is only part of the challenge. Data must also carry the business meaning and context needed to support useful AI applications. The session examines this challenge through the lens of platform architecture and enterprise AI, highlighting an important consideration for data and technology leaders: how to make enterprise data usable and meaningful for increasingly agentic systems. KEY TAKEAWAYS • Explore why providing AI agents with access to enterprise data is only part of the challenge • Understand the importance of meaning and context when agents work with organizational data • Consider the relationship between enterprise data foundations and agentic AI applications • Examine how platform architecture intersects with production-ready enterprise AI • Gain an enterprise perspective on preparing data environments for AI agents SPEAKER 📢 Ben Sanders, VP, Platform Architecture & Field Technology | Teradata ABOUT AI ENTERPRISE CONFERENCE 2026 Hosted by Data Science Connect on September 1, 2026 in New York City, AI Enterprise Conference 2026 brings together enterprise data and AI leaders, Fortune 500 decision-makers, and leading technology providers to explore how organizations can build, scale, govern, and operationalize AI. The conference theme, “AI for Enterprise: From Pilots to Production,” focuses on the data foundations, infrastructure, governance, operating models, and AI systems required to move enterprise artificial intelligence from experimentation into scalable, production-ready environments tied to real business outcomes. Watch the full keynote to explore why meaning and context matter when connecting AI agents with enterprise data. Subscribe to the Data Science Connect YouTube channel, explore more AI Enterprise Conference 2026 sessions, and discover additional insights from enterprise data and AI leaders.