Sharad Kumar, Qlik | Databricks Data + AI Summit 2024
summary
Claims a practical recipe for trusted data for GenAI with six principles — diversity, timeliness, quality, security/privacy, contextual findability and being embeddings and vectorization ready — applied domain-by-domain rather than boiling the ocean. Notes Databricks moves (Delta/Iceberg convergence, Unity Catalog, DBRX LLM/vector store) and Qlik’s role: connectors to 200+ sources including mainframe and SAP, delivering real-time SAP ingestion for customers like Mercedes‑Benz and JB Hunt, and shifting work from bespoke model training to RAG-backed apps and developer-driven integration.
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chapters (9)
- 0:00Welcome and event intro
- 2:05Keynote and industry trends
- 3:31Six principles for AI data
- 5:55Managing data complexity
- 7:40Unified data platforms
- 9:33Ecosystem and partnerships
- 11:51Real-world customer success
- 13:37Evolution of AI development
- 16:58Future outlook and closing
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