Internet of things

We recently announced the general availability of Azure IoT Edge, allowing you to deploy cloud workloads like AI and machine learning to run directly on your IoT devices.

Artificial Intelligence (AI) and machine learning (ML) technologies extend the capabilities of software applications that are now found throughout our daily life: digital assistants, facial recognition, photo captioning, banking services, and product recommendations.

This blog was co-authored by Marty Donovan.

Keep current on what’s happening in Azure, including what’s now in preview, generally available, news & updates, and more.

The future of mobile banking is clear. People love their mobile devices and banks are making big investments to enhance their apps with digital features and capabilities.

We’re proud to see more and more customers using Azure IoT Hub to control and manage billions of devices, send data to the cloud and gain business insights.

Azure IoT Edge which recently became generally available, designs in security from the ground up with avenues for custom security hardening. Security hardening entails additional security measures for given deployments in response to perceived higher threats like physical accessibility of devices by malicious actors.

Lots of folks are moving to X.509 certificate-based authentication as they start to use the Azure IoT Hub Device Provisioning Service, which is great! But I’ve gotten lots of questions about what the best practices are, and how to go about doing it at scale.

It has been said that Artificial Intelligence will define the next generation of software solutions. If you are even remotely involved with technology, you will almost certainly have heard the term with increasing regularity over the last few years.

In April we announced Azure Sphere to the world. Since then, we’ve been really pleased with the deep customer interest and engaging conversations with the media.

The Azure Cosmos DB team is excited to announce version 2.0 RC of the JavaScript SDK for SQL API, now in public preview!

Today, we are announcing the public preview offering for Manual failover.