GenAI meets Data Mesh: From data product design to enterprise intelligence
summary
An AI-powered recommender combines an LLM with a knowledge base/vector search to auto-match raw columns to standardized names, descriptions and data-quality rules, add interoperable columns, and feed approved specs back into the knowledge base. Implementations: a graph-based bill-of-materials data product for manufacturing that speeds queries 6× and multi-layer questions 8×, and a pharma mesh that delivers 70+ data products across six domains and cuts product lead time from weeks to days while reducing preparation time ~75%.
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chapters (10)
- 0:00GenAI and data mesh intro
- 3:15Data mesh principles
- 6:07Case study: hierarchy overcome
- 11:07Scaling data products with AI
- 14:38AI data product recommender
- 20:41Pharma client case study
- 26:41From descriptive to prescriptive
- 31:17Measuring business benefits
- 33:28Key takeaways
- 34:32Q&A
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