Microsoft’s commitment to low-code and no-code application development goes a lot further than its Power Platform. The same connector and pipeline model powers its Azure Logic Apps platform and ...

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 ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

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. The new ...

Nearly seven years after its debut as a preview, the Visual Studio Code extension for Azure Machine Learning has hit general availability. "You can use your favorite VS Code setup, either desktop or ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Last year, organizations around the world, across all industries, were forced to leverage new technologies on multiple fronts to accommodate a new normal. The adoption of AI and machine learning saw ...

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. Cloud services ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

The technology that turns petabytes of data into useful features that machine learning models can use already works on Azure. As organizations start to make more extensive use of machine learning, ...

It’s a simple question, but there’s often a complex answer, especially for employees at FedEx, who handle an average of 16.5 million packages a day. Today, machine learning is making getting those ...