Welcome to Pivoting to Technology Adoption!

DIGANTA SEN GUPTA

DIGANTA SEN GUPTA Profile Photo

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.

112
March 31, 2026

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 Co...
100
Jan. 6, 2026

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

Why do 70% of AI projects fail? In this milestone Episode 100, Donna P. Mitchell sits down with Diganta "Digs" Sen Gupta — Forbes Technology Council member, IEEE AI Governance Committee member, and Oracle enterprise architect with 25+ years of experience — to break down what executives must understand about data readiness before any AI initiative. WHAT'S COVERED: Why "everyone from bedrooms to boardrooms" talks AI but most projects fail The data silo problem destroying enterprise AI initiativ...