Agentic Data Management with Standard Health Care CDAO, Karl Hightower

​Tech Talk: Agentic Data Management
Speaker: Karl Hightower, Vice President and Chief Data & Analytics Officer, Stanford Health Care and Stanford School of Medicine

​As AI becomes more autonomous, enterprise data management must evolve from static governance and manual stewardship to more intelligent, adaptive, and automated models. Agentic AI has the potential to transform how organizations manage data quality, metadata, lineage, access, compliance, and trust, but it also introduces new questions around oversight, control, and accountability.

​What Karl will cover:

• ​What agentic data management is and why it matters now

• ​How AI agents may support data quality, metadata, governance, and stewardship workflows

• ​How data leaders can prepare their organizations for AI-enabled data operations

• ​Why trusted data foundations are essential for scalable AI and analytics

• ​How to balance automation with human oversight, risk management, and ethical use

​This session will help technology, data, analytics, and AI leaders understand how agentic approaches may redefine the data function and what organizations should do now to prepare.

​Karl Hightower is VP - Chief Data & Analytics Officer at Stanford Health Care and Stanford School of Medicine. His work focuses on building trusted data and AI foundations that support better decisions, stronger governance, and innovation in complex healthcare environments.