🏆 At the Databricks Grounded Reasoning Cup, academic teams from Stanford, UMass, Yale and other universities tackled a previously unseen corpus and set of tasks to answer one of the hardest questions in AI evaluation: how well do performance improvements on a benchmark
Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.
- The biggest opportunity with an AI coworker is moving beyond one-off tasks to repeatable business workflows. Genie One works across governed company data and connected tools to help teams: • Automate business reviews and reporting • Prepare meeting briefs and follow-ups •
- The next generation of databases may be built as much for agents as for developers. Databricks VP of Engineering @nikitabase joins It’s About Data to unpack the idea behind @neondatabase that now powers Lakebase: separating compute and storage for Postgres OLTP. The
- At Databricks, thousands of engineers use coding agents every day, and that makes AI spend one of the fastest-growing line items in R&D. We found that one budget could not do two jobs well. So we split the problem: 1. A daily budget catches runaway spend, with self-serve
- “With coding agents, you’re putting this jetpack on and going 10,000 miles an hour, doing things you were never able to do before.” In this conversation, @OpenAI’s @steipete and @thsottiaux join Databricks Co-founder @pwendell to unpack what comes next as agents move beyond code





