Next-Wave of Value – Operating Model for Scaling Data Science & AI
summary
A 1,200 C-level survey finds widespread pilots but only 12% scale successfully; the common winners combine a C-level AI strategy, a validated cloud data platform (examples: AWS-based pharma platform with a 24/7 ops team in India/Brazil), strict data governance/data mesh, and domain-aligned teams. Key roles are analytics translators who map use cases to deployable solutions; build-from-day-one factories with CI/CD and ML/Ops to avoid months-long IT handoffs. Major pitfall is hub‑and‑spoke decentralization that fragments skills and blocks industrialization.
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chapters (14)
- 0:00Introduction
- 0:45The Future of 2021
- 2:30Three Main Points
- 3:20Artificial Intelligence
- 4:40Research
- 7:40Industries
- 9:35What companies have in common
- 11:43Summary
- 12:00Pitfalls
- 13:10What happens in reality
- 16:16The second big issue
- 17:49Check Dream
- 18:47Successful Companies
- 22:52Conclusion
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