Internet of things

Since releasing Microsoft Azure IoT Edge, we have seen many customers using IoT Edge automatic deployments to deploy workloads to the edge at scale.

One of the toughest IoT quandaries is figuring out how to bake IoT into existing hardware in a secure, cost-effective way. For many customers, scrapping existing hardware investments for new IoT-enabled devices (“greenfield” installations) isn’t feasible.

Digital twins have moved from an exciting concept to reality.

At the recent Microsoft Ignite 2019 conference, we introduced two new and related perspectives on the future and roadmap of edge computing.

It’s exciting to see the PyTorch Community continue to grow and regularly release updated versions of PyTorch! Recent releases improve performance, ONNX export, TorchScript, C++ frontend, JIT, and distributed training. Several new experimental features, such as quantization, have also been introduced.

Microsoft is expanding the ecosystem of FHIR® for developers with a new tool to securely ingest, normalize, and persist Protected Health Information (PHI) from IoMT devices in the cloud.

Cities are using the Internet of Things (IoT) to manage their infrastructure by capturing and analyzing data from connected devices and sensors, giving city managers real-time insights to improve operational efficiency and outcomes and to altogether rethink and reinvent city government functions and operations.

As a company, we work every day to empower every person on the planet to achieve more.

We live in amazing times when people and businesses at different continents can interact at the speed of light. Numerous industries and applications target users around the globe: e-commerce websites, multiplayer online games, connected IoT devices, collaborative work and leisure experience, and many more.

Cloud computing has opened new paradigms that enable enterprises to reach new levels of productivity and scale.

With the breakneck speed at which technology is changing, more and more applications, big and small, are being created every day.

Enterprises today are adopting artificial intelligence (AI) at a rapid pace to stay ahead of their competition, deliver innovation, improve customer experiences, and grow revenue.