Internet of things

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.

Event-driven architectures are increasingly replacing and outpacing less dynamic polling-based systems, bringing the benefits of serverless computing to IoT scenarios, data processing tasks or infrastructure automation jobs.

Innovation at scale is a common challenge facing large organizations. A key contributor to the challenge is the complexity in coordinating the sheer number of apps and environments.

This post is the fourth in a four-part series designed to help companies maximize their ROI on IoT. In this fourth and final post, we will offer fresh thinking on what innovation could look like for your company.