Lessons Learned: Insights from 30 Years in Cloud and AI/ML Integration
summary
Claims that a functioning data marketplace plus continuous flow of trusted data turns trapped legacy data into reusable products, speeds self‑service, and enables AI use. Examples: an insurer’s internal marketplace fails when data quality and governance are missing; an asset manager fights over inconsistent AUM definitions until provenance and stewards are documented. Proposal: build governance, lineage, data quality and domain owners first, then publish catalogued products—else platforms sit unused. Mentions Legacy modernization and using gen rewrite to liberate data.
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chapters (6)
- 0:00Introduction
- 1:49Organizational data challenges
- 8:33Effective data strategies
- 18:45Data marketplaces in modernization
- 33:56Data marketplace benefits demo
- 36:25Q&A
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