Anita Ganti and Calvin Smith from Wipro, one of our IoT Elite partners, joined the IoT Show to share how they became early adopters of the Azure IoT platform and tools to offer solutions in Industrial manufacturing, Aerospace, Defense, Farming, Healthcare, and more.
Azure IoT Edge now features support for running natively on the Kubernetes orchestrator. This video goes into how the integration works and caps off with a demo showing what the experience is like for deploying a workload on an on-premise Kubernetes cluster. Give this a spin yourself on your own Kubernetes cluster (or create one using Azure Kubernetes Service) using the Kubernetes on Edge How-to guide. Azure Kubernetes
In this video, learn about the recently announced IoT Plug and Play, which is based on an open modeling language that allows IoT devices to declare their capabilities. That declaration, which is called a Device Capability Model, is then presented when IoT devices connect to cloud solutions like Azure IoT Central and Partner Solutions which can then automatically understand the device and start interacting with it– all without writing any code.
For $35 you can get a quad core 1.44Ghz x86 processor on a single board. This is going to power a lot of IoT solutions.
BBC Click takes a loot at 5G and how it will impact mobile networks and IoT.
Microsoft Build 2019 is next week, and in this episode of the IoT Show see what goes on inside Azure IoT’s building on the Microsoft Campus and meet some of the speakers who are preparing awesome IoT content for you.
Find the full list of IoT content and sessions at build: https://aka.ms/IoTatMSBuild2019
Here’s a great video on how to work with Azure IoT Hub, Device Provisioning Service, Azure Stream Analytics and IoT Edge
In this episode of BBC Click, they explore a new art installation in Paris, the Pope weighs in on the ethics of Robotics and AI.
Azure Stream Analytics is a PaaS cloud offering on Microsoft Azure to help customers analyze IoT telemetry data in real-time. Stream Analytics now has embedded ML models for Anomaly Detection, which can be invoked with simple function calls. Learn how you can leverage this powerful feature set for your scenarios.
Learn more : https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection
Create a Free Account (Azure): https://aka.ms/aft-iot