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. Continuing our commitment to remove the barriers of interoperability in healthcare, we are excited to expand our portfolio of Open Source Software (OSS) to support the HL7 FHIR Standard (Fast Healthcare Interoperability Resource).
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.
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.
Azure Stream Analytics is a fully managed Platform as a Service (PaaS) that supports thousands of mission-critical customer applications powered by real-time insights.
Azure Maps is proud to share the preview of a new set of Weather Services for Azure customers to integrate into their applications.
Author: Bert Van Hoof
For the last five years, our industry has buzzed with the promises of IoT. IoT has evolved from being a next-horizon term, to a common vernacular employed across industry conversations.
Azure IoT Central is an IoT app platform for solution builders that simplifies the challenges of building and deploying scalable and affordable enterprise grade IoT applications.
Late last year, we announced the preview of some of the foundational capabilities for our industrial IoT analytics platform with a scalable time series storage for trending decades of data, semantic model support to describe domain-specific metadata, and enhanced analytics APIs and UX.
Over the past ten years, Microsoft has seen embedded IoT devices get progressively smarter and more connected, running software intelligence near the point where the data is being generated within a network. And having memory and compute capabilities at the intelligent edge solves multiple conundrums related to connectivity, bandwidth, latencies, and privacy/security.