Why AI Projects Fail: An Oracle Strategist on Data, Guardrails & the 70% Problem | Diganta "Digs" Sen Gupta

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Why AI Projects Fail: An Oracle Strategist on Data, Guardrails & the 70% Problem | Diganta "Digs" Sen Gupta

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Why do 70% of AI projects fail? What guardrails do enterprises need for AI? What is RAG in AI? "If we don't have the understanding of data, it becomes so challenging. AI is something that comes from the data." — Diganta "Digs" Sen Gupta In this milestone Episode 100, Donna P. Mitchell, The Transformation Authority™, speaks with Diganta "Digs" Sen Gupta — Forbes Technology Council member, IEEE AI Governance Committee member, and Oracle enterprise architect with 25+ years experience — about why AI transformations fail and what executives must understand about data readiness. What's covered: • Why "everyone from bedrooms to boardrooms" talks AI but most projects fail • The data silo problem destroying enterprise AI initiatives • How Oracle went from database company to multi-cloud AI partner • RAG, vectorization, and semantic search explained simply • The guardrails executives must put in place before any AI project • How blockchain creates "trusted data" for AI applications • AI's future in healthcare: diagnostics, patient records, and beyond Timestamps: 00:00 — Welcome & Introduction 01:01 — Digs' journey with Oracle (2007-present) 02:49 — Oracle's transformation: Database to cloud 10:28 — Why AI projects fail: The data problem 16:11 — RAG & vectorization explained 21:34 — The three mistakes executives make 37:04 — AI in healthcare: The future Connect with Diganta "Digs" Sen Gupta: LinkedIn: https://www.linkedin.com/in/dsgupta/ Connect with Donna P. Mitchell, The Transformation Authority™: PivotingPortal.com PivotingToWeb3.com ConnectWithDonnaPMitchell.com Forbes Business Council | C-Suite Network #TransformationAuthority #AITransformation #EnterpriseAI #Oracle #DigitalTransformation #DataStrategy #AIGovernance #PivotingToWeb3 #podmatch Want to be a guest on Pivoting to WEB3? Send Donna Mitchell a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/1671449794354x786692998532303600

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