Rohit Choudhary, Acceldata | Databricks Data + AI Summit 2024
summary
At the Databricks summit Acceldata reports 15–20% booth conversion into serious prospects and sees customer accounts expanding from one department to enterprise-wide in about 18 months. Observability-first claims: pipeline monitoring, a central cockpit and cost-aware reliability for multi-cloud lakes and warehouses. Company measures 4–5x recent data growth and projects 7–8x in two years. Practical prerequisites for auto-generated pipelines are explicit: governance and operational metadata with human-in-the-loop and integrations with Spark/Databricks Unity Catalog and quantized, domain-specific models.
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chapters (10)
- 0:00Welcome to the summit
- 1:14Data growth challenges
- 2:40Market shifts and demand
- 4:21Data bricks partnership
- 5:23AI investment strategies
- 6:46Data engineering role
- 7:59Automating pipelines
- 9:55Real-time and ML models
- 11:56Future AI possibilities
- 14:15Lessons and outlook
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