Microsoft Azure IoT Connector for FHIR now in preview
The preview of Azure IoT Connector for FHIR—a fully managed and compliant feature of the Azure API for FHIR—is now available.
The preview of Azure IoT Connector for FHIR—a fully managed and compliant feature of the Azure API for FHIR—is now available.
Azure Time Series Insights Gen2—a fully managed IoT analytics platform is now generally available today. With Azure Time Series Insights Gen2, you can explore and analyze billions of contextualized events across millions of sensors.
Learn how Bosch Building Technologies, Bentley Systems, Schneider Electric, and ICONICS use Azure IoT to deliver the benefits of smart buildings.
Last month at Microsoft Build 2020, we announced the new features for Azure Digital Twins, the IoT platform that enables the creation of next-generation IoT connected solutions that model the real world. Today, we are announcing that these updated capabilities are now available in preview.
Organizations around the world are gearing up for a future powered by artificial intelligence (AI). From supply chain systems to genomics, and from predictive maintenance to autonomous systems, every aspect of the transformation is making use of AI.
Today, we’ll explore some strategies that you can leverage on Azure to optimize your cloud-native application development process using Azure Kubernetes Service (AKS) and managed databases, such as Azure Cosmos DB and Azure Database for PostgreSQL.
According to LinkedIn’s Emerging Jobs Report for 2020, AI specialist roles are most sought after with a 74 percent annual growth rate in hiring over the last four years.
Scale, resiliency, and performance do not happen overnight—it takes sustained and deliberate investment, day over day, and a performance-first mindset to build products that delight our users.
As a leader in innovative city solutions, the Town of Cary saw an opportunity to use technology to predict and manage flood events.
Over the past few months, we have released many new capabilities targeting to improve native integration with Azure, enable easier onboarding at scale, support enterprise security and compliance needs, provide rich full stack distributed tracing, and much more.
Live Video Analytics (LVA) provides a platform for you to build hybrid applications with video analytics capabilities. LVA offers the capability of capturing, recording, and analyzing live video and publishing the results to Azure services in the cloud and/or the edge.
At Microsoft Build 2020, we announced several advances to Azure Machine Learning across the several areas including, ML for all skills, enterprise-grade MLOps, and responsible ML.