About this episode

Two Oracle leaders discuss the widening AI adoption gap and necessary fixes for enterprises.

70% of technology transformations fail. In this panel episode, two Oracle leaders explain why the AI adoption gap is widening — and what enterprises must fix before the next investment cycle. TOPICS COVERED: The adoption gap: why the technology works but organizations still fail The gap between boardroom AI strategy and ground-level execution Why LLMs need business context — and how data integration provides it Healthcare AI challenges: state-level compliance and data silos Convergence architecture: aligning people, process, and technology Multi-cloud strategy: security, latency, and disaster recovery Oracle's multi-cloud partnerships with Azure, AWS, and Google Agentic AI, MCP servers, and the next phase of enterprise integration Why AI governance and policymaker involvement cannot wait (00:00) Welcome and Panel Introduction (02:27) The Gap Between the Boardroom and the Ground Floor (05:22) Who Owns AI Adoption Accountability? (07:54) Why LLMs Fail Without Business Context (11:07) Healthcare AI: Compliance, Governance, and Data Security (13:36) Convergence Architecture: People, Process, and Technology (16:18) Multi-Cloud Strategy: Security, Latency, and Disaster Recovery (20:00)…

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• Adoption Gaps Are Leadership Gaps in Disguise — Bryant Richardson, Real Blue Sky · April 14, 2026 · 47 min
• Why 70% Fail — Six Experts Expose the Gaps · March 24, 2026 · 27 min
• Integration Is a Business Foundation — Pradyumna Kodgi, Oracle Health & AI · March 17, 2026 · 35 min
• AI Is Not Your Strategy — Rupali Kumbhani on Why Enterprise Transformations Fail · March 10, 2026 · 34 min

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