Building Governance To Maximise AI Business Impact
summary
Claims that embedding AI into 70% of business processes in five years is feasible if organizations add governance, senior buy‑in, tooling and measurable success criteria. Recommends MLops as the control tower, continuous monitoring with audit logs and approvals, reliable value testing and QC, and mapping total process population before scaling. Flags EU AI draft regulation and a nascent governance tooling market, cites Dataiku’s governed node as an oversight option and warns that decentralised stakeholder engagement prevents trust and compliance failures.
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chapters (7)
- 0:00Introduction to AI governance
- 2:07History of governance frameworks
- 7:48AI adoption acceleration trends
- 12:22Risks of scaling AI initiatives
- 15:55AI governance as airport regulations
- 19:41Defining governance frameworks
- 21:32Summary and conclusion
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