Internet of things

Read the latest announcements about Azure Maps, our machine-learning tools, how we give clinicians the right data, and more.

Data scientists have a dynamic role. They need environments that are fast and flexible while upholding their organization’s security and compliance policies. Notebook Virtual Machine (VM), announced in May 2019, resolves these conflicting requirements while simplifying the overall experience for data scientists.

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 data.

With many IoT solutions connecting thousands of hardware endpoints, fixing security issues or upgrading functionality becomes a challenging and expensive task.

One of the largest gatherings of healthcare IT developers will come together on the Microsoft campus next week for HL7 FHIR DevDays, with the goal of advancing the open standard for interoperable health data, called HL7® FHIR® (Fast Healthcare Interoperability Resources, pronounced “fire”).

Build more accurate forecasts with the release of capabilities in automated machine learning. Have scenarios that require have gaps in training data or need to apply contextual data to improve your forecast or need to apply lags to your features?

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.

Elasticity means services can expand and contract on demand. This means Microsoft Azure customers who are on a pay-as-you-go plan will reap the most benefit out of Azure services.

HB-series Azure Virtual Machines achieve cloud supercomputing milestone; Azure NetApp Files is now generally available; Azure IoT Hub message enrichment simplifies downstream processing of your data; and much more.

How do you migrate live, mission-critical data for a flagship product that must manage billions of requests with low latency and no downtime?

We just released a new capability that enables enriching messages that are egressed from Azure IoT Hub to other services.

Each quarter, the Azure Sphere team works to open new scenarios to customers through new features on-chip and in the cloud. The Azure Sphere 19.05 release continues this theme by unlocking the real-time capable cores that reside on the MT3620.