Your AI Doesn't Know Your Business — Diganta "Digs" Sengupta & Pradyumna "Prady" Kodgi, Oracle
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) Why Cloud Vendors Are Partnering with Competitors(22:00) Agentic AI, MCP Servers, and the Future of Integration(29:42) What Keeps Oracle's AI Leaders Up at Night(33:54) Closing: The Adoption Gap Is a People Problem
ABOUT THE GUESTS:Diganta "Digs" Sengupta is a Master Principal Enterprise Architect - Data & AI Platform at Oracle. He specializes in convergence architecture, enterprise AI readiness, and organizational transformation across financial services and utility/energy industries.
Pradyumna "Prady" Kodgi is a Multicloud Integration Specialist at Oracle Health & AI and technical reviewer for O'Reilly (Secure APIs). With nearly two decades of enterprise integration experience, he architects scalable, event-driven systems across multi-cloud environments.
ABOUT DONNA P. MITCHELL:Founder of The Transformation Authority™ and CEO of Mitchell Universal Network LLC. 48 years of Fortune 500 experience across 5 industries, enabling 150,000+ professionals.
GET THE BOOK:Pivoting to Technology Adoption: Mind the Gapamazon.com/dp/B0GP3CWH2H
CONNECT WITH DIGS:LinkedIn: linkedin.com/in/dsgupta
CONNECT WITH PRADYUMNA:LinkedIn: linkedin.com/in/pkodgi
CONNECT WITH DONNA:LinkedIn: linkedin.com/in/donna-mitchell-a1700619YouTube: @TheTransformationAuthorityWebsite: pivotingportal.com
NEWSLETTER:The Transformation Brief™transformationbrief.beehiiv.com/subscribe
SPEAKING & ADVISORY:pivotingportal.com/speaker
New episodes every Tuesday.Official Member of Forbes Business Council
MASTER PRINCIPAL ENTERPRISE ARCHITECT
Diganta Sengupta is a thought leader & technology strategist and a Forbes Technology Council member leader, specializing in AI, cloud, and blockchain-driven digital transformation. With over 25+ years of experience, he has led large-scale innovations across multiple industries—modernizing systems for Fortune 500 organizations. He is a published researcher, thought leader and passionate advocate for building trusted, intelligent enterprise ecosystems.
A trusted advisor to CIOs and CTOs, Diganta blends technical depth with strategic insight, shaping go-to-market strategies and governance models. He is a published researcher, IEEE Senior Member and ACM Professional reviewer, BCS Fellow and passionate about leveraging emerging tech to build connected, resilient and intelligent enterprises.
Pradyumna Kodgi is a Product Strategist and Multi-Cloud Integration Expert at Oracle Health & AI, operating at the intersection of enterprise integration, AI adoption, and healthcare modernization. He specializes in architecting scalable, event-driven systems across distributed cloud environments and transforming emerging technologies into production-ready platforms. With deep expertise in product strategy, governance, and intelligent automation, he helps organizations bridge the gap between AI ambition and enterprise execution. He also serves in leadership roles within IEEE, advancing dialogue around healthcare technology and responsible AI innovation.
