IoT Plug and Play is now in public preview (https://aka.ms/IoTShow/IoTpnp).

In this episode of the IoT Show, you will see the new Azure IoT Central experience with native support for IoT Plug and Play.

Azure IoT Central has drastically simplified the task of building IoT solutions by eliminating the need for any cloud side development.

With IoT Plug and Play solution builders can explore a range of Azure IoT Certified Plug and Play devices; pick the devices that best fit their solution needs and build a production grade solution within days without having to write a single line of embedded code, drastically cutting down the time to market and costs.

After watching this short episode of the IoT Show and if you want to learn more, tune in (or watch on demand) the IoT Show Deep Dive episode: https://aka.ms/iotshow/deepdive/006

Azure Data Box Edge is as a server class target for Azure IoT Edge.

Sometimes people want to run more heavy-weight workloads via IoT Edge than fit on traditional gateways. Data Box Edge offers a server-class machine to do so.

During this episode of the IoT Show, get introduced the device capabilities and show a short demo of how simple it is to setup and configure from the Cloud.

Learn more HERE

Did you know that you can now train machine learning models with Azure ML once and deploy them in the Cloud (AKS/ACI) and on the edge (Azure IoT Edge) seamlessly thanks to ONNX Runtime inference engine.

In this new episode of the IoT Show, learn about the ONNX Runtime, the Microsoft built inference engine for ONNX models – its cross platform, cross training frameworks and op-par or better performance than existing inference engines.
From the description:
We will show how to train and containerize a machine learning model using Azure Machine Learning then deploy the trained model to a container service in the cloud and to an Azure IoT Edge device with IoT Edge across different HW platform – Intel, NVIDIA and Qualcomm.

Azure Security Center for IoT can help you monitor and manage your IoT security posture.

Organizations can now easily protect their IoT deployments using hundreds of built-in security assessments drawn from the industry best practices, or create custom rules in a central dashboard. With newly added IoT security capabilities, you can now reduce attack surface for your Azure IoT solution and remediate issues before they can be exploited.

In this episode of the IoT Show, IoT Security experts show how to onboard to Azure Security Center for IoT and demo some of the many security values you will get.

For more details, visit Azure Security Center for IoT documentation at:

Enterprises nowadays are looking for ways to become more efficient by utilizing IoT to minimize safety incidents and maximize the lifespan of their assets. In this episode of the IoT Show, explore a real-life scenario from process manufacturing.

aka.ms/IoTShow/process-manufacturing

Read about IoT in Process Manufacturing: https://azure.microsoft.com/en-us/overview/iot/industry/process-manufacturing/
Experiment with the Azure IoT Edge LoRaWAN starter kit: https://github.com/Azure/iotedge-lorawan-starterkit
Learn about Azure Stream Analytics: https://azure.microsoft.com/en-us/services/stream-analytics/

Time Series Model enables customers author and manage metadata and computations and associate it with the telemetry ingested from IoT devices. This helps convey semantics about time series, allowing them to search and understand time series in a way that relates to the physical world.

In this episode of the IoT Show, Olivier discusses the IoT data flow within Azure Time Series Insights as well as demonstrate how TSI Model and Query work and can be used.

You can now derive rich insights from your IoT data in Azure Time Series Insights using advanced visualization options.

The team has introduced  several new capabilities into TSI Explorer since we launched last December. These include significant Performance improvements, new Explorations like Scatter Plots & Heatmaps, as well as an enhanced JS SDK and more. Rahul Kayal, PM in the TSI team walks us through the latest additions and enhancements in TSI.

Check this video out to learn more.     

Try Azure Time Series Insights today: https://aka.ms/tsipreview
Check out the JS SDK for TSI in action: https://aka.ms/tsiclientdemos
Try Azure IoT for free today: https://aka.ms/aft-iot

IoT is a technology paradigm that involves the use of internet connected devices to publish data often in conjunction with real-time data processing, machine learning, and/or storage services. Development of these systems can be enhanced through application of modern DevOps principles which include tasks like automation, monitoring, and all steps of the software engineering process from development, testing, quality assurance, and release. This video examines these concepts as they relate to IoT Edge Solutions using Azure DevOps, Application Insights, Azure Container Registries, containerized iot edge devices and Azure Kubernetes Service to create an end-to-end pipeline which deploys, smoke tests, and allows for scalable integration testing using replica sets in k8s.