Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

Databricks Inc. is using its Data + AI Summit today in San Francisco to unveil a new data architecture designed to eliminate one of enterprise computing’s oldest bottlenecks: the separation between ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and agentic AI features coming to its cloud data lakehouse platform. At Databricks ...

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Databricks new Data Intelligence for Cybersecurity, built on the same data lakehouse architecture as the company’s flagship data and AI platform, is designed to help security teams more efficiently ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...

Forbes contributors publish independent expert analyses and insights. Peter Cohan, a Boston-based senior contributor, covers stocks. Before launching artificial intelligence agents, businesses want ...