Artificial Intelligence is Nothing without Data Governance
summary
Claims a concrete gap and road map: only 5% of companies have AI governance while ~85% plan to start by summer 2025, cites the EU AI Act (May 2024) and NIST and ISO frameworks, and points to the MIT 777 risk repository as the risk checklist. Practical stack items are named—data and data‑product catalog, observability, MDM, model cards and dashboards—and an example dashboard links model cards to KPIs. Key failures trace to poor master data quality and lack of governance by design.
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chapters (13)
- 0:00AI governance matters
- 4:44Ethics and regulation in AI
- 9:21AI governance adoption
- 10:47Risks in AI projects
- 15:49Regulatory frameworks for AI
- 19:27AI Act risk levels
- 23:05Leading AI governance
- 24:56Data quality for AI
- 26:46Ethics beyond compliance
- 30:25AI governance tools
- 32:56Ignoring governance consequences
- 33:39Conclusion and key takeaways
- 34:02Q&A
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