Unlocking Business Insights with Natural Language and Generative AI
summary
IBM’s Semantic Layer ingests catalog metadata once from millions of legacy tables and 100,000+ columns, runs metadata enrichment with Granite 8B and vectorizes descriptions and business glossary entries, then uses schema linking and hybrid semantic searches to prune to ~20–40 relevant columns before a WatsonX Text2SQL model generates executable SQL. Deployed on IBM’s Multi‑Cloud SaaS (AWS, Red Hat OpenShift), the pipeline turns days of steward work into seconds, returns runnable queries (no live DB access required) and supports iterative feedback and delta updates.
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chapters (5)
- 0:00Introduction
- 6:02Text-to-SQL importance
- 12:23Metadata for NL queries
- 19:47Generating SQL from NL
- 27:02Q&A
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