MLOps, or DevOps for machine learning, is bringing the best practices of software development to data science. You know the saying, “Give a man a fish, and you’ll feed him for a day… Integrate machine ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

GitHub Copilot for Azure just shipped with an important addition since its debut at Ignite 2024 as a private preview. The Visual Studio Code extension is no longer just an assistant -- it's now an ...

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 ...

Overview:  Functional testing tools help teams verify that software works as expected across web, mobile, and API ...

The landscape of Azure DevOps has shifted dramatically with the 2026 release of Microsoft Copilot's agentic capabilities, moving beyond simple code suggestions to autonomous workflow execution. With ...

Predictive monitoring is transforming enterprise operations by combining the latest technologies with strategic implementation. By preventing issues before they escalate through early detection, ...

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.

When it comes to project management tools for DevOps, both Jira and Microsoft Azure DevOps are two of the most popular options. We’ll take a look at Azure DevOps and Jira and examine the tools’ ...