VentureBeat

Databricks tested a stronger model against its multi-step agent on hybrid queries. The ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation ...

Databricks says it solved the decades-old data pipeline problem that's been slowing AI agents

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
マイナビニュース

Databricksが掲げるデータとAIの民主化戦略

Databricksは、カルフォルニア州立大学バークレー校において、CEO兼共同設立者のアリ・ゴディシ(Ali Ghodsi)氏をはじめ、データとAIなどを研究するOSSの分散処理フレームワーク「Apache Spark」のクリエイター20人により、2013年にサンフランシスコで創業した。
SiliconANGLE

Databricks kicks off an initiative to make AI agents easier to build and manage

Databricks Inc. today is kicking off what it calls the “Week of Agents” by introducing new and enhanced products that are intended to help enterprises confidently deploy and scale artificial ...
Business Wire

PuppyGraph Announces New Native Integration to Support Databricks’ Managed Iceberg Tables

Enables Real-Time, Zero-ETL Graph Queries on the Databricks Data Intelligence Platform Databricks Managed Iceberg Tables, launching in Public Preview at this year’s Data + AI Summit, offers full ...