Shiv Trisal explains how Databricks is helping manufacturers and supply chain teams move from AI experimentation to ...

CISOs know precisely where their AI nightmare unfolds fastest. It's inference, the vulnerable stage where live models meet real-world data, leaving enterprises exposed to prompt injection, data leaks, ...

With an overflowing war chest from its $5 billion raise that closed last month (not to mention billions in revenue), Databricks is acquiring. The company, best known for its cloud data analytics ...

Databricks acquires Neon to integrate its serverless Postgress database, enabling AI agents to deploy scalable, fast-provisioning data workloads. Databricks, a leading platform for data and AI ...

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

Databricks Inc. today announced a series of updates to its flagship artificial intelligence product, Agent Bricks, aimed at improving governance, accuracy and model flexibility for enterprise AI ...

Enterprise AI is entering a different phase now, one where enterprises are no longer evaluating whether AI is exciting. They ...

Go inside Databricks and how CEO Ali Ghodsi is accelerating growth as he scales, its startup acquisition spree, race to own ...

Data fragmentation across legacy data warehouses and systems is a core business problem driving Australian enterprises to utilise Databricks. In Australia, The Peter MacCallum Cancer Centre and the ...

Big-data analytics firm Databricks Inc. has emerged as an unlikely player in the generative artificial intelligence space, open-sourcing a new AI model that it claims is “as magical as ChatGPT,” ...

Databricks is a data cloud platform and stands out by utilizing a data lakehouse platform. This combines a data warehousing platform with a data lake, which stores data in a raw format. Through the ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...