As organizations scale AI initiatives on platforms like Databricks, one challenge remains: bridging the gap between the data in the lakehouse and the vast, distributed data that lives elsewhere. Turning massive volumes of technical metadata into trusted, business-ready insight requires more than cataloging what's inside the lakehouse — it demands true enterprise-wide intelligence. In this session, Actian CTO Emma McGrattan will explore how combining Databricks Unity Catalog with the Actian Data Intelligence Platform extends visibility, governance, and trust beyond the lakehouse. Learn how leading enterprises are *Integrating metadata across all enterprise data assets for complete visibility * Enriching Unity Catalog metadata with business context for broader usability * Empowering non-technical users to discover, trust, and act on AI-ready data * Building a foundation for scalable data productization with governance by design.