16. Governance and Compliance in the Age of Data & AI
AI Summary
The video is episode 16 of The Next Frontiers of AI podcast hosted by Scott Hebner, featuring Christophe Bertrand, principal analyst for cyber-resiliency, data protection, and data platforms at theCUBE Research. They discuss the critical challenges enterprises face in AI deployment: trust, transparency, and compliance. Data governance deficiencies, regulatory complexity, cyber threats, and the AI black box problem slow enterprise AI adoption. They highlight four key challenges: identifying/classifying trusted data, scaling governed data access, creating explainable and auditable AI agents, and managing evolving global regulations. The hosts announce an upcoming Governance & Compliance in the Age of Data & AI Summit on September 27, 2025. Christophe emphasizes the massive growth of data, mostly unstructured and unclassified, complicating compliance and AI trust. Scott stresses AI agents’ emerging critical role requiring explainability and auditability to maintain accountability. They discuss regulatory pressures, noting thousands of global AI-related regulations increasing yearly, with many states in the US enacting AI laws. Research shows most organizations are unprepared for AI governance and compliance, and few use AI to manage these issues. The conversation highlights AI as both a risk and opportunity, stressing the need for integrated data protection, cyber-resilience, and governance solutions. The video concludes with a preview of the summit’s format and a call for vendor participation.