Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

If you’re familiar with Microsoft’s Cognitive Services tools, you can also use the Azure Machine Learning studio or a local development environment using Visual Studio Code.

Now Microsoft is taking the next step, using that foundation to deliver a set of machine learning models that provide assistance with common tasks: Azure Applied AI Services.

This capability allows customers to build models with Azure Machine Learning anywhere, including on-premises, multi-cloud environments, and at the edge.

To spot faults quickly even if they take a month to show up, Azure feeds signals into a machine learning system: in the future, you will be able to do that for your own cloud workloads.

Microsoft wants companies to build their own AI-powered “copilots” — using tools on Azure and machine learning models from its close partner OpenAI, of course. Microsoft defines a “copilot ...

Apart from providing Myntra the elasticity to cater to demand spikes, Azure’s built-in Machine Learning tools expedited the development of advanced analytics capabilities to understand their consumers ...