Prerequisite: None
Organizations have invested heavily in modern data stacks, yet data teams still spend most of their time manually finding, fixing, and validating data. The problem isn't a lack of tools but a lack of shared meaning.
Metadata is scattered across disconnected catalogs, governance platforms, and observability tools, each with its own definitions and its own blind spots. When AI enters the picture, these gaps don't just slow teams down; they produce hallucinations, regulatory exposure, and stalled initiatives.
In this session, Harsha Chintalapani introduces semantic intelligence, an approach that transforms passive metadata into operational meaning that both people and AI can interpret. Drawing on experience building metadata systems at petabyte scale, Harsha explains how leading organizations are using a unified semantic foundation to automate governance, accelerate discovery, and build the trusted data layer that AI demands. You'll leave with a practical framework for moving from fragmented metadata to AI-ready governance, one that works with your existing stack, not against it.