As enterprise adoption of AI grows, so do data governance challenges. How do you scale data governance frameworks that aren’t just compliant, but also adaptive, efficient, and trusted across the organization?
In this session, a panel of data and AI leaders explain how governance must evolve in the age of AI-driven decision making. They discuss strategies to balance agility and oversight, build scalable guardrails, and embed governance into modern data workflows without slowing innovation.
You’ll gain invaluable insights to:
- Create scalable governance models that grow with AI maturity and the data landscape.
- Ensure trust at speed by maintaining data quality and security in fast-moving AI initiatives.
- Balance human + machine oversight to align policies, control access, and generate successful AI outcomes.
Intervenants
Susan Laine – Chief Field Technologist, Quest Software
Selma Dogic – Director of Analytics, Carter’s
Julia Nobre – Sr. Director, Generative AI Office, ADP
Nick Yatsky – Former VP, Chief Data Officer & Head of Enterprise Architecture, Wellstar
Ramana Rao AVS – Sr. Director, AI & Innovation, Brink’s