Prerequisite: None
In this panel discussion, data leaders from across industries will share how they are building and evolving data foundations to meet the demands of AI while delivering on data governance. Panelists will explore the architectural components, practices, and cultural shifts that enable trusted, scalable data environments—covering everything from metadata management and data productization to lineage, quality, and access controls. Attendees will gain practical insights into how these leaders are aligning their data strategies with governance objectives to support responsible AI adoption and ensure compliance, transparency, and value at scale.