One, Azure Machine Learning Designer, lets you work with your existing data with a set of visual design tools and drag-and-drop controls.

Microsoft rolled out updates across its AI and machine learning cloud portfolio during its Ignite 2020 virtual conference.

Microsoft announced the Azure Machine Learning studio web experience is generally available. The company yesterday (July 8) announced the advancement to GA, with a bevy of new features touching upon ...

The Azure Machine Learning Studio was introduced way back in 2014. The new web offering helps developers build and train custom models, and then deploy and manage them to the cloud or edge, while ...

The Azure Machine Learning studio web experience is generally availabl, enabling data scientists and data engineers to complete their end-to-end machine learning lifecycle from prepping and ...

Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle ...

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 ...

Azure Machine Learning automates machine learning to make it easier to build, train and deploy models. The service is generally available now, with pricing to go into effect February 1, 2019.

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.