18 October 2018
Azure Data Factory (ADF) enables you to do hybrid data movement from 70 plus data stores in a serverless fashion. Often users want to connect to multiple data stores of the same type. For example, you might want to connect to 10 different databases in your Azure SQL Server and the only difference between those 10 databases is the database name.
16 October 2018
We are excited to release the preview of Open Neural Network Exchange (ONNX) Runtime, a high-performance inference engine for machine learning models in the ONNX format.
Faith Xu
Senior Program Manager, Machine Learning Platform
11 October 2018
We heard your feedback loud and clear: it is hard to keep up with Azure’s pace of innovation. How do you learn about anything and everything new about Azure portal?
Peri Rocha
Senior Product Manager, Microsoft Azure
10 October 2018
Planning is crucial in any migration effort and Azure Migrate helps you plan your datacenter migration to Azure. It helps you discover your on-premises environment, create move-groups and assess the move groups for migration to Azure.
09 October 2018
Since launching Ethereum Proof-of-Authority we've received great feedback and have learned more about the ways our customers have leveraged this solution to roll out their Blockchain applications. We’ve rolled out a number of features that improve user-experience, configurability, and deployment reliability.
03 October 2018
The Access Control Service, otherwise known as ACS, is officially being retired. Since the ACS retirement announcement last year, many customers have reached out for our guidance and have completed their migration.
Jay Lu
Senior PM - Identity Services
03 October 2018
Frost and Sullivan has estimated the Artificial Intelligence (AI) Market for Healthcare IT in 2018 for hospitals at $574 million USD and expects it to grow at a CAGR of 65 percent to $4.3 billion USD in 2022!
David Houlding
Principal Healthcare Program Manager, Industry Experiences
02 October 2018
Insurance companies that sell life, health, and property and casualty insurance are using machine learning (ML) to drive improvements in customer service, fraud detection, and operational efficiency. For example, the Azure cloud is helping insurance brands save time and effort using machine vision to assess damage in accidents, identify anomalies in billing, and more.
02 October 2018
Artificial Intelligence (AI) and Machine Learning (ML) are transforming healthcare. From streamlining operations to aiding in clinical diagnosis. Healthcare organizations are often challenged to begin an AI/ML journey due to lack of experience or high cost.
David Starr
Principal Systems Architect, Microsoft Azure
01 October 2018
Technology is moving at an amazing pace. Manufacturers around the world are observing this first-hand. Additive manufacturing, robotics, and IoT are some of the technologies that directly influence…
