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Diagram displaying context-driven information extraction

Using natural language processing to manage healthcare records

The next time you see your physician, consider the times you fill in a paper form. It may seem trivial, but the information could be crucial to making a better diagnosis. Now consider the other forms of healthcare data that ... continue reading

5 principles driving a customer-obsessed identity strategy at Microsoft

The cloud era has fundamentally changed the way businesses must think about security. For a long time, we built security around the perimeter. But today, the boundaryless landscape demands that we start with the individual. In our journey with customers ... continue reading
An image of the Worldwide Learning personalized jobs search demo UI

Using Azure Search custom skills to create personalized job recommendations

This blog post was co-authored by Kabir Khan, Software Engineer II , Learning Engineering Research and Developement. The Microsoft Worldwide Learning Innovation lab is an idea incubation lab within Microsoft that focuses on developing personalized learning and career experiences. One ... continue reading

Customers get unmatched security with Windows Server and SQL Server workloads in Azure

Customers such as Allscripts, Chevron, J.B. Hunt, and thousands of others are migrating their important workloads to Azure where they find unmatched security. While understanding cloud security is initially a concern to many, after digging in, customers often tell us ... continue reading

Customers get unmatched security with Windows Server and SQL Server workloads in Azure

Customers such as Allscripts, Chevron, J.B. Hunt, and thousands of others are migrating their important workloads to Azure where they find unmatched security. While understanding cloud security is initially a concern to many, after digging in, customers often tell us ... continue reading
Title card - Make your data science workflow efficient and reproducible with MLFlow

Make your data science workflow efficient and reproducible with MLflow

This blog post was co-authored by Parashar Shah, Senior Program Manager, Applied AI Developer COGS. When data scientists work on building a machine learning model, their experimentation often produces lots of metadata: metrics of models you tested, actual model files, ... continue reading

Smarter edge, smarter world: Discover the autonomous edge

If you want to solve a business problem using a computer, you have to connect to it. The furthest point at which you can connect the “edge” has always been a major frontier of computing. In the 1950s, the edge ... continue reading
Accelerating smart building solutions with cloud, AI, and IoT

Accelerating smart building solutions with cloud, AI, and IoT

Throughout our Internet of Things (IoT) journey we’ve seen solutions evolve from device-centric models, to spatially-aware solutions that provide real-world context. Last year at Realcomm | IBcon, we announced Azure IoT’s vision for spatial intelligence, diving into scenarios that uniquely ... continue reading
Diagram display of how Swim can simplify architectures

Compute and stream IoT insights with data-driven applications

There is a lot more data in the world than can possibly be captured with even the most robust, cutting-edge technology. Edge computing and the Internet of Things (IoT) are just two examples of technologies increasing the volume of useful ... continue reading
DevDays FHIRcat

Microsoft hosts HL7 FHIR DevDays

This blog post was co-authored by Greg Moore, Corporate Vice President, Microsoft Healthcare and Peter Lee, Corporate Vice President, Microsoft Healthcare. One of the largest gatherings of healthcare IT developers will come together on the Microsoft campus next week for ... continue reading