Microsoft announced the Azure Machine Learning studio web experience is generally available with a bunch of new features. Here's what's new.

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. Today at its annual Build ...

Microsoft has expanded the data-analysis offerings on its Azure cloud, offering a machine learning service to help organizations derive more insight from mountains of unstructured data.

Microsoft dev teams for Azure Machine Learning (Azure ML) and Visual Studio Code have improved the developer experience in the super-popular, open source-based, cross-platform code editor.

Also available in the Azure Machine Learning service, Prompt Flow simplifies the process of prototyping, experimenting, iterating and deploying AI applications, according to Microsoft.

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.

Then Microsoft added tools to roll your own cloud-hosted machine learning, using Azure to train models and host the resulting services.

This tool, the Azure Machine Learning visual interface, looks suspiciously like the existing Azure ML Studio, Microsoft’s first stab at building a visual machine learning tool.

Microsoft is joining the Databricks-backed MLflow project for machine learning experiment management. Already present in Azure Databricks, a fully managed version of MLflow will be added to Azure ...

With the rapid pace of change in AI and machine learning, it’s no surprise Microsoft had its usual strong presence at this year’s NVIDIA GTC.

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