Expert Panel: Preparing for AI: Governance, Risk, and Compliance
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Monday, November 9, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
As AI moves from experimentation into production, organizations face a rapidly expanding set of governance, risk, and compliance challenges. Data lineage, privacy, model transparency, security, regulatory requirements, and the ability to explain and audit AI-driven decisions are becoming critical components of enterprise AI readiness.
In this TDWI Expert Panel, industry leaders will examine how organizations can build the trusted data, governance frameworks, and controls needed to scale AI responsibly without slowing innovation.
Attendees will learn practical approaches for:
- Establishing trusted, governed data foundations for enterprise AI
- Improving AI transparency, traceability, and explainability
- Connecting data, metadata, policies, risk, and business context
- Managing governance and compliance as AI and autonomous agents scale
- Moving from fragmented, reactive controls toward continuous AI governance
- Balancing innovation with security, privacy, risk, and regulatory requirements
Join TDWI and a panel of technology leaders for a practical discussion about what organizations need to put in place now to build AI systems that can be trusted, governed, and scaled.
Guest Speaker
Gerald Mann
Global VP Solutions Engineering
Graphwise
Gerald Mann is global VP of solutions engineering at Graphwise and a veteran sales engineering leader. He helps organizations turn complex, siloed data into actionable insights using graph, semantic, and AI-driven architectures. Gerald is known for making advanced data and analytics concepts clear, practical, and tied to real business outcomes for both technical and executive audiences.