Introducing Azure Data Explorer (aka.ms/IoTShow/ADXdocs) capabilities and how customers can build custom IoT analytics platforms using Big Data and AI taking advantage of Azure Data Explorer's built-in advanced Time Series and Machine Learning capabilities.

Learn how ZEDEDA (aka.ms/IoTShow/ZEDEDA) makes it possible to onboard and manage distributed gateway devices, leveraging the Linux Foundation's Project EVE (edge virtualization engine), https://www.lfedge.org/projects/eve/, to create a secure, zero-trust environment across any combination of hardware, applications, or clouds. Simple 1-click deployment of the IoT Edge application will show how to deploy and orchestrate Azure services at the edge and at scale. Once the IoT Edge app is deployed, a wind turbine model will show real-time data flowing into IoT Hub for visualization and analysis. Learn more about Azure IoT Edge Quick Connect Solution: https://zededa.egnyte.com/dl/EloDqIgPOm

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, we introduce the device capabilities and show a short demo of how simple it is to setup and configure from the Cloud. Learn more HERE

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 we introduce 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.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.aka.ms/IoTShow/ONNXruntime

https://aka.ms/iotshow/securitycommunity 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: https://aka.ms/iot-security-docs Join our community at: https://aka.ms/iot-security-community

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 we will discuss a real-life scenario from process manufacturing. Let's look at a real life scenario: with the use of non-intrusive LoRa sensors and Azure IoT, we calculate the flow regime inside industrial pipes and gain insights about the remaining useful life of the asset, while lowering the exposure risk of field engineers. 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-starterkitLearn 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 we discuss the IoT data flow within Azure Time Series Insights as well as demonstrate how TSI Model and Query work and can be used. Try Time Series Insights today: https://aka.ms/tsipreviewLearn more about Time Series Insights: https://aka.ms/tsidocumentation Try Azure IoT for free today: https://aka.ms/aft-iot

Sensors that connect to a Windows or Linux gateway can be connected up to Azure IoT thru a simple JSON configuration- No code needed. Watch this episode of the IoT Show to see how! Learn more about the IoT Plug an Play bridge: https://aka.ms/iotplugandplaybridge Try Azure IoT for free: https://aka.ms/aft-iot

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

Today we have full support for Visual Studio Code to develop for Azure IoT Ege devices, but enterprise developers (especially Windows developers) are looking for an integrated developer experience in Visual Studio.Azure IoT Edge Tools makes it easy to code, build, deploy, and debug your IoT Edge solutions in Visual Studio 2019.Xin Shin, PM in the Developers divisions, walks us through the IoT Edge developer experience in Visual Studio 2019. Get the Azure IoT Edge Tools for VS 2019 : https://marketplace.visualstudio.com/items?itemName=vsc-iot.vs16iotedgetoolsUse Visual Studio 2019 to develop and debug modules for Azure IoT Edge: https://docs.microsoft.com/en-us/azure/iot-edge/how-to-visual-studio-develop-moduleDebug Azure IoT Edge module container on physical device in Visual Studio Linux: https://devblogs.microsoft.com/iotdev/debug-iot-edge-c-or-csharp-windows-module-container-with-visual-studio-azure-iot-edge-tools/Read the Windows blog: https://devblogs.microsoft.com/iotdev/debug-iot-edge-c-or-csharp-linux-module-container-with-visual-studio-azure-iot-edge-tools/ Try Azure IoT for free today: https://aka.ms/aft-iot