In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

In 2026, Azure has fundamentally shifted how developers handle secrets, moving away from brittle, manual injection methods toward a fully automated, identity-centric model. With new Key Vault features ...

It’s time to switch to a new development tool for SQL Server and Azure SQL. Here’s how to get started with the MSSQL extension for Visual Studio Code. Microsoft recently ended support for Azure Data ...

Microsoft released its first full Linux distro: Azure Linux 4.0. Azure Linux ix split into Azure Container Linux and the virtual machine edition. Microsoft effectively admits that it's a de facto ...

According to Amazon’s overview, RNG has been the default routing architecture for most new AWS data centers since April, ...

Venkateswarlu Tanneru builds resilient cloud infrastructure using predictive failure systems, blending aeronautical ...

Tech companies like Microsoft and Uber are scaling back AI adoption due to high computing costs, despite initial enthusiasm ...

Microsoft AI chief Mustafa Suleyman says the company was “set free” from OpenAI as it unveils seven in-house models and ...

The Agent Governance Toolkit brings runtime policy enforcement to autonomous agents, targeting the OWASP top 10 agent risks.

Thinking-1, the company’s first in-house reasoning model, trained without OpenAI data. MAI-Code-1-Flash rolls out to all ...

Thousands of Microsoft developers will use GitHub Copilot CLI instead Thousands of Microsoft developers will use GitHub Copilot CLI instead is a senior correspondent and author of Notepad, who has ...

Microsoft has unveiled seven new in-house MAI models covering reasoning, coding, image generation, voice and transcription, ...