Crushed by the AI Elephant
summary
Enterprise AI stalls because teams see only parts of the system and miss 43 people involved and nine to twelve month delays when pieces collide. The claim: build a centralized repository blueprint that connects policies, a data catalog, pre‑approved architecture patterns and process‑mining outputs, surface data readiness and governance rules, and version control requirements. A survey cited translation between teams, data readiness, and production readiness as top blockers; the proposed system shortens rework, clarifies incentives, and makes value and risk traceable.
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chapters (8)
- 0:00Introduction
- 2:24AI elephant parable
- 7:17AI systems in production
- 9:25Dynamic AI blueprint
- 13:55AI blueprint dimensions
- 17:39Centralized AI specs
- 20:36AI system alignment
- 22:04Q&A
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