Now Microsoft is taking the next step, using that foundation to deliver a set of machine learning models that provide assistance with common tasks: Azure Applied AI Services.

Introducing Azure Machine Learning Designer Azure provides various tools for this, alongside its prebuilt, pretrained, customizable models.

This capability allows customers to build models with Azure Machine Learning anywhere, including on-premises, multi-cloud environments, and at the edge.

Azure Synapse: Best for unified data analytics across big data systems and data warehouses. Databricks: Best for use cases such as streaming, machine learning, and data science-based analytics.

And Azure Machine Learning gets new versatility, including usability from virtually all Python-language programming environments.

Comparing Azure Machine Learning and Databricks for your data solutions? Explore our analysis to find the best fit for your needs.

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

Microsoft is adding some new incremental features to its hybrid Azure Stack Hub platform, and it's continuing its Azure Arc unified management push at Build 2020.

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.

Power generator manufacturer Aggreko has begun using Microsoft Azure machine learning to support technicians at its remote monitoring centre in Louisiana, US. The Glasgow-headquartered company ...