Azure Agentic DevOps Microsoft is bringing agentic workflows and Azure-native capabilities directly into Visual Studio. A ...

Additionally, users can leverage Azure DevOps or GitHub Actions to schedule, manage and automate their machine learning pipelines and perform advanced data-drift analysis to improve a model's ...

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...

Ahead of its annual Build developer conference, Microsoft announced a slew of new features heading to its Azure Machine Learning service.

New tools to help increase developer productivity and simplify app development for intelligent cloud and edge, across devices, platforms or data sources NEW YORK — Nov. 15, 2017 — Wednesday at Connect ...

Machine learning should also be easier to integrate into existing DevOps workflows with the new MLOps, which is described as DevOps for machine learning. It offers reproducible, auditable ...

Choosing the right DevOps tools is essential to the development process. Read on for a feature comparison of Azure DevOps and GitHub.

Azure DevOps enables Microsoft to align with the changing dynamics of the industry. Here are five reasons why Azure DevOps is a big deal for both Microsoft and the ecosystem - 1.

Compare the features of DevOps tools Azure DevOps and Jira to help you decide which software may be right for you.