AI + machine learning

Optimizing your Azure workloads can feel like a time-consuming task.

Azure reservations now available for Databricks and App Service. Auto-renew reservations and scope to resource group.

Ever hear the Abbot and Costello routine, “Who’s on first?” It’s a masterpiece of American English humor. But what if it we translated it into another language? With a word-by-word translation, most of what English speakers laugh at, would be lost.

Azure Databricks is a fast, easy, and collaborative Apache Spark based analytics platform that simplifies the process of building big data and artificial intelligence (AI) solutions.

Microsoft Azure Media Services Video Indexer (VI) enables the customization of language models by allowing customers to upload examples of sentences or words belonging to the vocabulary of their specific use case.

With the Bot Framework release in July, we are happy to share new releases of Bot Framework SDK 4.5 and preview of 4.6, updates to our developer tools, and new channels in Azure Bot Service.

Today we are announcing the open sourcing of our recipe to pre-train BERT (Bidirectional Encoder Representations from Transformers) built by the Bing team, including code that works on Azure Machine Learning, so that customers can unlock the power of training custom versions of BERT-large models

With over 360,000 registered Azure Bot Service developers, we’ve seen significant growth in bots and virtual assistants built on Azure. A major trend we’re following is the growing need for these assistants to support voice-first conversational experiences.

Every day, healthcare organizations are beginning their digital transformation journey with the Microsoft Healthcare Bot Service built on Azure. The Healthcare Bot service empowers healthcare organizations to build and deploy an Artificial Intelligence (AI) powered, compliant, conversational healthcare experience at scale.

Through integration with Cognitive Services APIs, Azure Search has long had the ability to extract text and structure from images and unstructured content.

If your IT organization is like most, you probably work with many different people across many different teams.

One of the newest members of the Azure AI portfolio, Form Recognizer, applies advanced machine learning to accurately extract text, key-value pairs, and tables from documents. With just a few samples, it tailors its understanding to supplied documents, both on-premises and in the cloud.