The healthcare industry is poised for massive transformation. With an aging population, chronic diseases, and increased regulations, healthcare costs continue to balloon—along with patient and provider expectations for better outcomes.
Microsoft acquires Citus Data to accelerate PostgreSQL perf and scale; IoT Hub device streams now in public preview; Azure API Management support for OpenAPI Specification v3 in preview; and so much more.
As part of our ongoing commitment to open and interoperable artificial intelligence, Microsoft has joined the SciKit-Learn consortium as a Platinum member and released tools to enable increased usage of SciKit-Learn pipelines.
Do you know how to develop and source control your Microsoft Azure Stream Analytics (ASA) jobs? Do you know how to setup automated processes to build, test, and deploy these jobs to multiple environments?
From smart factories and smart cities to virtual personal assistants and self-driving cars, artificial intelligence (AI) and the Internet of Things (IoT) are transforming how people around the world live, work, and play.
Azure API Management has just introduced preview support of OpenAPI Specification v3 – the latest version of the broadly used open-source standard of describing APIs. Implementation of the feature is based on the OpenAPI.NET SDK.
In today’s security-first digital age, ensuring secure connectivity to IoT devices is of paramount importance.
Today I want to show how simple it is to connect a temperature/humidity sensor to Azure IoT Central using a Raspberry Pi and Node-RED.
We are happy to share that you can now export data to Azure Event Hubs and Azure Service Bus in near real-time from your Azure IoT Central app!
Storytelling is at the heart of human nature. We were storytellers long before we were able to write, we shared our values and created our societies mostly through oral storytelling.
Automatic device management in Microsoft Azure IoT Hub automates many of the repetitive and complex tasks of managing large device fleets over the entirety of their lifecycles.
Technology allows manufacturers to generate more data than traditional systems and users can digest. Predictive analytics, enabled by big data and cloud technologies, can take advantage of this data and provide new and unique insights into the health of manufacturing equipment and processes.
