Last fall, Azure Machine Learning gained a Python software development kit and interoperability with Power BI, a business analytics service that facilitates the creation of reports, dashboards ...

With machine learning expertise hard to find, what’s needed are tools to help guide developers through the process of creating the models that businesses need.

Azure ML jumps on the Arc bandwagon, Power BI Premium adds per-user pricing and autoscale. Azure Purview onboards Synapse, Amazon S3, and on-prem Oracle and SAP as scannable data sources.

The Azure Machine Learning Studio makes quick work of generating a Web service for publishing a trained model. This simple model comes from a five-step interactive introduction to Azure ML.

Ziosk used machine learning in conjunction with the Microsoft Power BI service to provide restaurants with more information about customer purchasing habits and trends.

The Microsoft Azure Machine Learning service is a cloud service that enables developers and data scientists to build, train and deploy machine learning models.

The data integration makes it much easier for users of Power BI to share data with users of Azure for a wide range of business tasks.

At its Inspire partner conference in Las Vegas, Microsoft announces big performance enhancements to its cloud data warehouse and new Enterprise/Big Data capabilities for Power BI.

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