The Azure DevOps Wiki MCP Server enables AI applications to interact with Azure DevOps wikis through the Model Context Protocol. It provides comprehensive wiki operations including content search, ...

(Bloomberg/Mark Bergen and Brody Ford) — Databricks is raising over $4 billion in a new funding round that values the software firm at $134 billion, another example of how some tech companies are ...

Azure DevOps Server is now generally available, marking its transition to a production-ready on-premises offering for teams that need to self-host their DevOps platform. The GA release packages ...

There is no shortage of AI benchmarks in the market today, with popular options like Humanity's Last Exam (HLE), ARC-AGI-2 and GDPval, among numerous others. AI agents excel at solving abstract math ...

Nov 30 (Reuters) - Data analytics firm Databricks is in talks to raise $5 billion at a valuation of $134 billion, which is roughly 32 times this year's expected sales of about $4.1 billion, The ...

SAN FRANCISCO, Nov. 20, 2025 /PRNewswire/ -- Opsera (opsera.io), the AI-powered DevOps platform and Databricks Startup Award winner, today announced a strategic partnership with Koantek ...

Update: The revised post updates with details from Databricks. San Francisco-based data analytics firm Databricks is in talks to raise funds at a valuation of more than $130 billion, almost 30% above ...

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It shouldn’t be a surprise that there’s a lot of Azure you can run on premises, thanks to platforms like Azure Stack. But there’s more to on-premises Azure than the familiar platforms and services.

Microsoft shares fell in extended trading on Wednesday despite the tech giant reporting a pretty clean beat across nearly every metric. Blame lofty investor expectations after a blowout report three ...

Microsoft beat on earnings and revenue for the fiscal first quarter. The company's Azure cloud business recorded growth of 40%. Microsoft shares, which closed at a record on Tuesday, slipped in ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...