Getting Your Data AI-Ready
summary
Argues that organizations must model before you move so disparate ERP, CRM and third‑party data become governed, lineaged and scoreable; shows a cheap-to-understand metric — Salesforce is often the top inbound source — and gives concrete outcomes: Mars adopts modeling-to-cloud and a partner (Tiger Analytics) to cut costs, Hitachi Energies ships Nostradamus AI for predictive failures, and a data marketplace of gold/silver/bronze products makes datasets auditable and production-ready.
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chapters (4)
- 0:00Introduction and AI readiness
- 10:56Aligning with leadership goals
- 20:46Data and AI lifecycle explained
- 33:03Key takeaways and next steps
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