As data volumes explode, manual data stewardship creates a massive bottleneck. We simply cannot hire enough humans to clean the data. This session introduces the "Digital Data Steward"- autonomous AI Agents capable of maintaining the data product lifecycle. We will move beyond the static rules and dive into the mechanics of how agents apply quality checks, profile data, and self-heal metadata. Join us to learn how to implement Agentic loops that keep your data products enriched, trusted and discoverable.

Target Audience: CDO, VP, Data product managers, Heads of data governance, Data platform architects, Data engineers
Prerequisites:Basic understanding of Agents and traditional metadata management
Level: Advanced