Azure.Source – Volume 87
Microsoft FHIR Server for Azure extends to SQL; Azure Shared Image Gallery now generally available; Accelerating smart building solutions with cloud, AI, and IoT; and much more.
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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. -
How one Azure IoT partner is building connected experiences
We recently spent time with Mesh Systems, a Microsoft Gold Cloud platform partner based in Carmel, Indiana, to understand what a day in the life of an Azure IoT partner looks like. -
Three ways to get notified about Azure service issues
Preparing for the unexpected is part of every IT professional’s and developer’s job. -
Smarter edge, smarter world: Discover the autonomous edge
Whether it’s in self-driving vehicles, mixed reality, or smart buildings, the autonomous edge has incredible potential to transform our lives for the better. -
Microsoft FHIR Server for Azure extends to SQL
Since the launch of the open source FHIR Server for Azure on GitHub last November, we have been humbled by the tremendously positive response and surge in the use of FHIR in the healthcare community. -
Virtual machine memory allocation and placement on Azure Stack
Customers have been using Azure Stack in a number of different ways. -
Azure.Source – Volume 86
Read the latest announcements about Azure Maps, our machine-learning tools, how we give clinicians the right data, and more. -
Using Text Analytics in call centers
Azure Cognitive Services provides Text Analytics APIs that simplify extracting information from text data using natural language processing and machine learning. -
Announcing self-serve experience for Azure Event Hubs Clusters
For businesses today, data is indispensable. Innovative ideas in manufacturing, health care, transportation, and financial industries are often the result of capturing and correlating data from multiple sources. -
A look at Azure’s automated machine learning capabilities
The automated machine learning capability in Azure Machine Learning service allows data scientists, analysts, and developers to build machine learning models with high scalability, efficiency, and productivity all while sustaining model quality. -
Building a better asset and risk management platform with elastic Azure services
Elasticity means services can expand and contract on demand.