Why AI Fails in Financial Services — and 3 Governance Changes To Overcome It

AI and data innovation are advancing faster than governance can adapt, creating a growing gap between risk, compliance, and business strategy. As new AI regulations emerge globally and privacy frameworks evolve to meet them, organizations are realizing that compliance can’t live in silos. Without a unified governance framework, even well-intentioned data programs become fragmented, reactive, and vulnerable. And the pressure is higher for organizations in complex regulatory environments such as Financial Services, Insurance, Life Sciences, and Government who will need a centralized approach to AI Governance.

Join James Howard, former Chief Privacy Officer at Wells Fargo and Nimit Mehta, CEO of TopQuadrant, for a candid fireside chat on how governance can evolve to meet this moment. They’ll explore how data and AI governance offers a framework for AI oversight, why intentional “governance by design” must become standard practice, and how organizations can prepare for rapidly changing regulatory expectations.

Attendees will gain insight into how a defensible, metadata-driven governance framework not only strengthens compliance but also enables agility, transparency, and trust in AI-driven organizations.

Key Learnings:

• How emerging AI regulations are converging with privacy and compliance standards.
• Why organizations need a unified governance framework to adapt to regulatory change.
• What “governance by design” means—and how to embed it early in AI and data initiatives.
• How metadata and semantic alignment turn compliance from a constraint into a competitive advantage.