Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

“QueryData shows Google is trying to create a standard way for AI agents to safely access and use data. While OpenAI focuses ...

Oracle expands its AI push with a new Google Cloud agent enabling natural language database queries as multicloud revenues ...

Data foundations were never designed to support intelligent workloads at scale, but unified data lakehouse architecture might ...

Unlike one-off tools, Column From Examples records transformation steps so results remain stable as new data is added.

Inside OpenAI’s ‘self-operating’ infrastructure, where Codex-powered AI agents debug failures, manage releases, and compress ...

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...

Replace broken brackets in Excel with clear, flexible Power Query rules that handle real-world data effortlessly.

Intel is betting on AI to reverse its fortunes, wagering that inference and agentic workloads will restore the CPU to the ...

Cloudera, the only company bringing AI to data anywhere, is introducing advancements to its hybrid data and AI platform to help enterprises modernize seamlessly, lower infrastructure costs, and ...

An ODBC driver acts as a translator, allowing your favorite desktop and server applications to 'speak' to the HubSpot API as ...

Methods for gene expression analysis include transcript sampling by sequencing 1,2,3 or hybridization signature 14,15,16,17, transcript amplification and imaging 4,5,6,7,8, and hybridization to gene ...