Databricks Customers
summary
Over 250 customer stories summarize concrete outcomes: a sports company deploys a predictive model that forecasts future player performance and feeds lineups into production, a fintech builds governance pipelines that keep sensitive enterprise data stays secure while enabling analytics, and several enterprises put generative AI in data operations to auto-generate features and documentation. The session highlights 250 customers of Databricks, what stacks they run, the governance patterns they use, and which projects reached production.
AI-written summary · about
related talks
18mDatabricks drives predictive maintenance, grid optimization with analytics
02mDatabricks at GoDataFest 2019
19mLessons from Building a Large-scale, Multi-cloud Data Platform at Databricks
52mElevate your data and AI governance with Databricks Data Intelligence Platform
40mProductionizing Big Data - Stories from the Trenches
57mScaling Databricks to Run Data & AI Workloads on Millions of VMs
34mOverview of the Databricks Platform
19mDatabricks
