The Single Source of Truth: Building Data Foundations for Agentic AI
11 attendees from 11 groups hosting
Details
Traditional data management was built to give humans consistent, trustworthy records to work from. Agentic AI demands something more dynamic: data that agents can query, reason over, and act on continuously, without waiting for a human to interpret it first. That shift changes what "good" data actually looks like.
This webinar explores how data foundations must evolve to support agentic AI—moving from static, periodically-updated records toward connected, real-time, machine-consumable data. We'll cover what it takes to make data not just accurate, but usable by autonomous systems making decisions at machine speed.
Key Takeaways:
1️⃣ Rethinking "Good" Data: How agentic AI changes the requirements for data quality and structure.
2️⃣ Real-Time Unification: Why static, periodic data processes fall short for continuously acting agents.
3️⃣ Machine-Readable Trust: Designing authoritative records that agents can reliably reason over.
4️⃣ Data Stewardship for Autonomy: How data ownership roles must adapt as agents become primary data consumers.