What is essential for data governance in AI and cloud?

Brennan Baybeck

SVP & CISO - Customer Success Services · Oracle

Foundational AI Governance

Brennan Baybeck says a foundational AI governance program is essential, because it helps manage security, data protection, compliance, operational, financial and reputational risks, and without it AI can spin out of control.

Rashmi Shetty

Senior Director - Enterprise Generative AI Platform · Capital One

Evaluate the Whole System

Rashmi Shetty says the key practice is evaluating the whole agentic system, not just the LLM model alone, calling that the key unlock for a well-governed agentic system.

The answer starts at 14:46.

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Beth Hiatt

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

AI Data Infrastructure Blueprint

Beth Hiatt says the first 90 days should be spent making sure an AI data infrastructure and control plane blueprint is in place before branching into AI use cases, saying that is what will make those 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 a business-aligned outcome reflecting the customer’s culture, goals, and regulatory obligations, because, he says, governance is a business problem, not an IT problem.

Sam Pierson

Chief Technology Officer · Qlik

Reliable, High-Quality Data

Sam Pierson says a reliable, high-quality data foundation is essential, and that adding context on top of it brings the quality and accuracy of LLM answers to the next level.

Muralidhar Vemulapalli

Chief Enterprise Architect/ Acting CTO · Arkansas Blue Cross And Blue Shield

Explainability and Auditability

Muralidhar Vemulapalli says the most important thing is explainability and auditability, because delivering explainable AI requires transparency, tracing outputs with complete lineage, and supporting it with reasoning.

Shahir Daya

Chief Product & Technology Officer · Zafin

Workflow-Level Controls

Shahir Daya says the first move is to define controls at the workflow level rather than the agent level, because regulators focus on workflows and agent-level controls won't scale as agents and workflows cross over.