The Data Integrity & AI Forum – AI is Stress Testing Data Governance: Are you Seeing the Same?

AI ambition is accelerating across the enterprise — but according to the latest State of Data Integrity and AI Readiness research conducted with Drexel University’s LeBow College of Business, the ability to deliver trusted AI at scale is far from assured.

While most organizations report having formal data governance programs in place, trust in data and the ability to operationalize AI responsibly vary widely. As enterprises move from experimentation to production AI — and begin preparing for emerging Agentic AI capabilities — many governance programs are being tested in ways they were never originally designed for.

This meeting brings together Data Leaders for a candid discussion on whether today’s governance strategies are truly ready for the next phase of AI.

The session opens with a short framing of key insights from the LeBow research, followed by a moderated discussion with Nicola Askham, The Data Governance Coach, Kevin Guyot, VP of Data Analytics at Lake Michigan Credit Union, and David Woods, SVP of Global Services at Precisely who will share real-world perspectives.

Together we’ll explore:

• Why many organizations report governance confidence while still struggling with trusted AI execution
• How governance must evolve to support increasingly autonomous and AI-driven decision-making
• What leading data organizations are doing differently to prepare for the AI era