In this episode of Next Frontiers of AI, Scott Hebner is joined by Christophe Bertrand, the Principal Analyst for Cyber Resiliency and Data Protection at theCUBE Research, to unpack a growing reality across the enterprise landscape: AI progress is hitting a wall—not because of technology limitations, but because of trust, transparency, and compliance shortfalls. While the promise of data-driven, AI-guided decision-making transforms strategy in every industry, many organizations are now pausing deployments due to inadequate data governance frameworks and a rapidly evolving regulatory environment.
Together, they preview the upcoming Governance and Compliance in the Age of Data & AI Summit, hosted by theCUBE on September 27, 2025—a high-impact digital event designed to help enterprises confront today’s most urgent compliance challenges while enabling future-ready AI strategies. They’ll introduce the summit’s four foundational pillars:
- Identifying and classifying trusted data
- Scaling governed data access across functions
- Creating explainable, auditable AI and agentic systems
- Mitigating evolving global regulatory risks with automation
From explainability gaps and “what-if” reasoning frameworks, to federated governance, causal AI, and policy-as-code architectures, this episode offers a strategic preview into the technologies, frameworks, and business shifts required to scale AI confidently. Tune in to understand what’s holding enterprises back—and how you can move forward.
