Azure Machine Learning Service is Microsoft’s latest offering for developers and data scientists in the custom cloud machine learning and deep learning category. Azure Machine Learning Service adds to ...

Coming to grips with machine learning needn’t require vast amounts of labeled data, a team of data scientists, and a lot of compute time. The state of the art in modern artificial intelligence has ...

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 ...

Microsoft today announced three new services that all aim to simplify the process of machine learning. These range from a new interface for a tool that completely automates the process of creating ...

At the Microsoft Connect() event today, the Redmond-based software (and market cap) juggernaut is making a series of technology announcements, covering a broad range of its product and service ...

Microsoft, just like many of its competitors, has gone all in on machine learning. That emphasis is on full display at the company’s Ignite conference this where, where the company today announced a ...

Microsoft recently announced the Azure Machine Learning studio web experience is generally available. It has been the works since last year, when Microsoft said, "The new web experience enables data ...

Azure OpenAI Service, AI dashboards in Azure Machine Learning and a web application routing add-in for Azure Kubernetes Service are among the new offerings in preview from Microsoft. New previews for ...

At its recent Build developer conference, Microsoft highlighted simplified automated machine learning with three approaches: code-first, drag-and-drop and no-code, the latter of which is now ...

Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...

The paradox with artificial intelligence (AI) and machine learning (ML) is that despite (or because of) the hype, it's still hard to find practitioners who understand how to use those approaches.