AI + machine learning

Intelligent experiences powered by machine learning can seem like magic to users. Developing them, however, can be anything but.

Today we are very happy to release the new capabilities for the Azure Machine Learning service. Since our initial public preview launch in September 2017, we have received an incredible amount of valuable and constructive feedback.

Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations.

Earlier today, we announced Video Indexer as generally available. This means that our customers can count on all the metadata goodness of Video Indexer to always be available for them to use to run their business.

This blog was co-authored by Marty Donovan.

The future of mobile banking is clear. People love their mobile devices and banks are making big investments to enhance their apps with digital features and capabilities.

User interface design process involves a lot a creativity that starts on a whiteboard where designers share ideas.

We are pleased to announce the release of another update to the Cognitive Services Speech SDK (version 0.6.0). With this release, we have added the support for Java on Windows 10 (x64) and Linux (x64).

Machine learning (ML) is causing quite the buzz at the moment, and it’s having a huge impact on healthcare. Payers, providers, and pharmaceutical companies are all seeing applicability in their spaces and are taking advantage of ML today.

Today we are announcing the general availability of synonyms.

The digital experience (DX) era is here, and AI is one of the primary technologies to fuel productivity and innovation in the retail and consumer goods industry.

Today, we are happy to announce public preview support for autocomplete in Azure Search, one of our most requested features on UserVoice.