KEYNOTE: Rajkumar Venkatesan- Building AI-First Organizations & Opening Notes
summary
Claims and concrete lessons: data remains a strategic asset, foundational models cost hundreds of millions while fine‑tuning runs to thousands, and a five‑step maturity canvas maps experiments to transformation. Empirical signals: GDPR cuts average European deal size from about $78M to $58M unless acquisitions explicitly promise customer value. Real outcomes: a $300M failed McDonald s drive‑thru AI contrasts with Taco Bell buying Cavantom and reporting gains. Focus on data engineering, design for adoption, and ethics across the value chain.
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chapters (9)
- 0:00Opening remarks
- 9:59Building AI-first organizations
- 11:03AI revolution challenges
- 16:11AI investments and customer focus
- 19:21Data as strategic asset
- 27:31Human trust in AI
- 32:08Ethical AI value chain
- 37:01Four insights for AI-first orgs
- 38:28Q&A
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