The IoT Plug and Play bridge is an open-source application for connecting existing devices attached to Windows or Linux gateway as IoT Plug and Play devices. The IoT Plug and Play bridge is now available as an Azure IoT Edge module. After installing and configuring IoT Plug and Play as an Edge module, you can use it to connect attached devices to an IoT hub. You can use the bridge to map IoT Plug and Play interfaces to the telemetry the attached devices are sending, work with device properties, and invoke commands. After watching the video you can learn more at https://aka.ms/iotshow/IoTPnPBridgeEdge

Microsoft Azure Percept is a comprehensive platform with added security for creating edge AI solutions. With the pilot-ready development kit Azure Percept DK, you can now use Zero Touch Provisioning (ZTP) to simplify the onboarding and provisioning of Wi-Fi enabled devices into Azure IoT services. Learn how the Azure Percept DK leverages Azure IoT Hub Device Provisioning Service (DPS) with the Wi-Fi Alliance's industry-standard Wi-Fi Easy Connect™ to enable scaled device onboarding scenarios by simply powering on a device. Read more about how we've partnered with Aruba to bring this first to market solution: https://aka.ms/iotshow/AzurePerceptWifiZTP

Common representation of places, infrastructure, and assets will be paramount for interoperability and enabling data sharing between multiple domains. It is our goal to provide a DTDL-based ontology definition to provide common ground for modeling environments leveraging well-established industry standards, accelerate developers time to results, and enable interoperability between DTDL-based solutions from different solution providers. In this episode we present the work we have been doing with our partners Sirus/ OASC to provide DTDL based Smart Cities ontology starting with ETSI CIM NGSI-LD models. Learn more about the Smart Cities Ontology for Digital Twins: https://aka.ms/iotshow/SmartCitiesOntologyForDigitalTwins

Getting started with IoT devices is not trivial. It usually involves lots of tooling, complex connectivity, and more. Ryan Winter from the Azure IoT Developers and Devices team is creating Getting Started Guide that will walk you through connecting a new device to Azure IoT using the Azure RTOS, and the Azure RTOS IoT middleware in under 30 minutes. Ryan will even demo one of these guides and will build Azure RTOS on an STMicroelectronics Discovery Kit and connect it to Azure IoT Central in about 5 minutes! Check out all the Getting Started Guide at https://aka.ms/gsg

IoT drives digital transformation, and among other things allows to ingest, aggregate and analyse industrial IoT data. But for the integration to work, Data scientists need to work with mechanical engineers, chemical engineers, robotics engineers, as well as IoT developers to build end to end solutions. Sudeep Gowrishankar and Sudhanshu Kashyap from Symphony AzimaAI join Olivier on the IoT Show to share their insights on how their company helps integrating Industrial AI with IoT data into end to end solutions for their customers leveraging Azure services. Learn more about Symphony AzimaAI at https://symphonyazimaai.com

IoT devices can work with cognitive services in the cloud for ML tasks such as face verification. However, it is often useful to have ML at the edge as well, to avoid streaming up data all the time – like a "wake word". We will show you how Azure Sphere enables you to easily build ML at the edge that works with ML in the cloud, in the context of a face detection/recognition scenario. Learn more reading the blog post at https://aka.ms/iotshow/MLOnAzureSphere

Azure IoT Edge for Linux on Windows, also known as EFLOW, allows to run Linux-based cloud-native workloads on Windows IoT. This allows to retain existing Windows IoT investments and benefit from the power of Windows IoT for applications that require an interactive UX and high-performance hardware interaction. You no longer need to choose Windows or Linux; you can leverage the best of both platforms. Learn more about EFLOW at https://aka.ms/AzIoTEdgeForLinuxOnWindows

IoT Device management at scale is achieved in Azure IoT Central using the Jobs feature. Jobs provide device operators and developers the ability to group, streamline, orchestrate, and monitor updates to tens of thousands to millions of IoT devices and edge devices with an intuitive user experience & API. Check out how that works with this demo by Ranga Vadlamudi, Principal PM in the Azure IoT team. Learn more reading Ranga's blog post at https://aka.ms/iotshow/ManageDevicesInIoTCentral

Azure Defender for IoT is an agentless security solution for Operational Technology (OT) networks incorporating specialized IoT/OT-aware behavioral analytics from Microsoft's recent acquisition of CyberX. The new solution enables industrial and critical infrastructure organizations to secure their existing or brownfield devices without any performance impact or changes to existing environments. It's also deeply integrated with Azure Sentinel and supports 3rd-party tools such as Splunk, IBM QRadar, and ServiceNow. Combined with previous support in Azure Security Center for IoT for protecting managed (or greenfield) IoT/OT devices connected via Azure IoT Hub, these new capabilities enable organizations to accelerate their digital transformation initiatives with a combined solution for both unmanaged (or brownfield) devices and managed (or greenfield) devices. In this segment, we describe the architecture of the solution and show how it can be used to protect against real-world attacks, using the TRITON attack on a petrochemical facility as an example. Learn more about Azure Defender for IoT at https://aka.ms/iotshow/AzureDefenderForIoT

Have you ever wondered how to build a workplace health & safety solution end-to-end? Teo De Las Heras from the Azure IoT team joins us to demo and explain the architecture of such as solution built on Azure with IoT services. Not only will you see the solution at work but you will also learn where you can find the entire solution for you to deploy on your own Azure subscription and use as a demo, or even as the starting point for your own solution. Check it out on GitHub at https://aka.ms/iotshow/workplacesafety