Which governance practice matters most for regulated sector AI?

Danny Manimbo

Managing Principal · Schellman

Management Oversight

Danny Manimbo says management oversight is the governance basic he can't underscore, because programs delegated solely to a compliance manager die; they need ownership upwards and laterally across business units.

The answer starts at 21:05.

Brennan Baybeck

SVP & CISO - Customer Success Services · Oracle

Data Classification

Brennan Baybeck says data classification has never been more important as part of strong governance, calling it a foundational security principle and a necessary change for protecting sensitive data moving through AI models.

Rashmi Shetty

Senior Director - Enterprise Generative AI Platform · Capital One

Evaluating the Whole System

Rashmi Shetty says the key in a well-governed agentic system is evaluating the whole agentic system, not just the LLM model alone, which she calls the key unlock.

The answer starts at 14:53.

Rhett Alden

CTO, Elsevier Health Markets · Elsevier

Transparency

Rhett Alden says transparency needs to be driven home for AI tools to be adopted in clinical operations, because clinicians fear black-box algorithms and need to see how responses are arrived at and where information comes from.

The answer starts at 3:24.

BH

Beth Hiatt

SVP|Product Management|Data Governance and Responsible AI @LPL Financial · Lpl Financial

Blueprinting Infrastructure

Beth Hiatt says the key governance practice is blueprinting the AI data infrastructure and control plane in the first 90 days before pursuing AI use cases, because having that blueprint in place is what will make AI initiatives successful.

The answer starts at 5:20.

John F Donovan

Principal Research Director · Info-Tech Research Group

Business-Aligned Governance

John F. Donovan says governance should steer toward business-aligned governance that reflects the customer's culture, goals and regulatory obligations, because it's a business problem, not an IT problem.

Julian Tang

COO for Innovation Office · BlackRock

Clear Playbooks

Julian Tang says clear playbooks matter most because they allow teams to consistently repeat success and run quickly with guardrails, reducing friction and enabling proactive governance in AI platform development.