Internet of Things Show - Channel 9

Azure Digital Twins is a platform as a service offering that enables you to create live digital twin graphs that represent entities and their relationships. In today's world where your IDE automatically detects your coding style and makes recommendations using machine learning, creating a digital twin might seem like more work than you're accustomed. First, you'd need to create a document using the Digital Twin Definition Language (DTDL). Then you'd need to add it to Azure Digital Twins using a Restful API call. You then need to repeat this process as changes are required. A more familiar way might be to use Plain Old Class Objects or simply POCO. You may already be familiar with it if you've used Entity Framework Core. Using POCO, you may find it easier to create and manage your digital twins using a code first approach.Learn more about this at https://aka.ms/iotshow/CodeFirstDigitalTwins

How about having interactive Digital Signs that bring new digital experiences in the physical world, like being able to play Flappy Bird on a large screen while waiting for your bus? Ombori Grid, powered by Azure IoT Edge, makes it possible. See how with a nice demo before you go try it out yourself at https://ombori.com/grid

Learn what's new with Azure IoT Edge developer tools. If you are building edge devices powered by Azure IoT Edge, you will learn about the latest addition to your toolbox that will make your day-to-day simpler and more productive.Learn more at https://aka.ms/IoTShow/GettingStartedWithIoTEdgeDev

Today, customers who are leveraging FreeRTOS on their devices and wish to connect to Azure IoT services need to resort to home-grown solutions or venture to adapt existing SDKs to work with FreeRTOS. With the Azure IoT middleware for FreeRTOS they'll get a proper SDK that exposes the APIs these developers expect to see when getting their devices connected to Azure. In contrast with home-grown solutions, the Azure IoT middleware for FreeRTOS is maintained and supported by Microsoft, and it is an open-source project that allows customers to adapt it to a number of different hardware combinations to support their business and technical requirements.Learn more reading the blog post at https://aka.ms/AzureIoTMiddlewareForFreeRTOS/Blog

Like to use .NET for your coding and want to code for microcontroller powered devices to connect them to Azure IoT? The new .NET nanoFramework SDK now supports Device Provisioning Service for SAS, Certificate, individual and group device! Learm more at https://aka.ms/IoTShow/nanoFrameworkAzureIoT

Charles is an engineer who has no background in IoT nor in data science. Despite this, he was able to create innovative solutions that can literally change people's lives thanks to technology like IoT or AI at the edge made accessible to all. Charles walks us through his journey in building a customized signed language recognition solution for a disabled person who cannot sign like everyone because of their disability.Learn more reading Charles blog post at https://aka.ms/iotshow/AccessibleTech

Edge Device observability is critical to managing production edge deployments and devices. You can remotely observe and monitor your Azure IoT Edge fleet using Azure Monitor or Azure IoT Central application and built-in metrics integration. To enable this capability on your device, add the metrics-collector module to your deployment and configure it to collect and transport metrics to Azure Monitor or your Azure IoT Central Application.Learn more reading the blog post at https://aka.ms/iotshow/EdgeDeviceObservabilityInIoTCentral

Join us to learn more about an upcoming feature in Azure IoT Central that will enable you to build your IoT solution once and onboard multiple tenants into it - we're calling this feature Organizations. During this session we'll provide an overview of the feature, its use cases and roadmap, and we'll wrap it up with a live demo. Learn more at https://aka.ms/iotshow/iotc-organizations

Terry Warwick and Craig Loewen join Olivier on the IoT Show to discuss Azure IoT Edge for Linux on Windows (EFLOW) and Windows Subsystem on Linux (WSL): what they are and when to use which.Learn more reading the blog post at https://aka.ms/iotshow/EFLOWandWSL

Please meet the .NET nanoFramework. As its name indicates the nanoFramwork is a tuned down version of the .NET runtime (and tools) adapted and optimized for running on microcontrollers (MCUs). With it, .NET developers can apply their skills and favorite language to coding for IoT devices.Laurent Ellerbach joins Olivier to introduce the .NET nanoFramework and run us through some demos.Check out the nanoFramework on GitHub at https://github.com/nanoframework

Andry Cross, long time MVP and COO at Elastacloud joins Olivier to share their experience using Azure Digital Twins for their Connected Homes solution, now deployed in production for Notting Hill Genesis. You can learn more reading Andy's blog post at https://aka.ms/iotshow/elastacloud

Jim Bennett joins Olivier to tell us all about IoT for beginners, a new 12 week, 24 lesson curriculum that we have built to get University high school students ready for the fast-growing world of IoT.Learn more about the curriculum at https://aka.ms/IoTShow/IoTForBeginners

A walkthrough over a solution that helps create a cloud workflow for collecting logs and metrics from IoT Edge devices.Check out the solution on GitHub: https://aka.ms/iotshow/IoTELMS

The IoT Edge module for Linux on Windows (a.k.a. EFLOW) is now ready for production. Terry Warwick and Christopher Datsikas join Olivier to tell us what that means, and how customers are already using it.Learn more about EFLOW at https://aka.ms/AzIoTEdgeForLinuxOnWindows

Azure Defender for IoT helps you implement a zero trust policy on your OT environment with continuous asset discovery, vulnerability management, and threat detection for your Internet of Things (IoT) devices. Paul Roberts walks us through some of the main features of the solution. Learn more about Azure Defender for IoT at https://aka.ms/iotshow/AzureDefenderForIoT

In this episode, Venkat Yalla, Principal Program Manager in the Azure IoT Ege tells us about the new, first-class IoT Edge remote monitoring solution built around IoT Edge's built-in diagnostics and Azure Monitor in the cloud. Venkat explores powerful patterns to monitor your IoT Edge fleet that will enable you to detect and mitigate production issues rapidly and at-scale.Learn more reading Venkat's blog post at https://aka.ms/iotshow/edgemon

As we are preparing for the upcoming expiration of the Baltimore Root CA for Azure services, Ramit Malhotra joins Olivier to go through the extent of the changes as well as what developers will have to do to ensure their devices connected to Azure IoT don't get impacted by the migration. You can learn more reading Ramit's blog post at https://aka.ms/iot-ca-updates

Data is the new oil. Customers are increasingly using sensors to collect data and use that to make critical business decisions. The quality of data drives the quality of decision and outcome. Verified Telemetry is a new capability offered as part of the Azure Edge offerings enabling customers to retro-fit the ability of measuring sensors condition, continuously, alongside the data, and do this with no hardware changes. This is currently in preview and we would love to share information and roadmap with you. We would like to have an open dialogue and understand your priority in terms of capabilities, and devices you would like us to support at a minimum, before you can deploy this in your environments.Learn more about Verified Telemetry at https://aka.ms/iotshow/verifiedtelemetry

Watch the Azure Digital Twins Explorer in action with a sample Smart City digital twin.Learn more about ADT Explorer at https://aka.ms/iotshow/ADTExplorer

There is more than what meets the eye in the Azure Percept DK. A number of design choices were made in building the dev kit and Dan Rosenstein joins Olivier to discuss the whys of these choices.Learn more about the Azure Percept DK at https://aka.ms/iotshow/AzurePercept

Learn from EDGE Next's head of engineering Fanie Reynders how they are leveraging Azure Digital Twins in their Smart Buildings platform. Fanie walks us through the architecture of the EDGE Next platform and shares his experience in using the Azure Digital Twins service to create production quality and scalable solution for their customers. See how a smart building comes to life with some nice demo.Learn more about EDGE Next reading Fanie's blog post at https://aka.ms/iotshow/EDGENext

In this episode we discuss the principles of Zero Trust security, and the aspects of IoT that make proactive application of Zero Trust to IoT different than its application to the workforce. The key capabilities of Zero Trust for IoT are defined for companies with an IoT strategy, and how Microsoft solutions enable your journey of Zero Trust for IoT.Learn more about Zero Trust security for IoT reading: https://aka.ms/iotshow/ZeroTrustSecurity

Learn how to apply a hierarchy of nested Edge devices at scale to an ISA-95 industrial network using best practices and Azure IoT services. Watch a short demo using a physical 3-tier gateway setup showcasing how to address, control and manage the different layers of the Nested Edge environment through the cloud, how to deploy a configuration to deployed devices and what happens if a device loses network connection.Learn more reading the blog post at https://aka.ms/iotshow/NestedEdgeInIIoT

How do you update IoT devices that are disconnected in a hierarchy of IoT Edge devices, like you would see in an Industrial IoT environment with an ISA-95 network? Device Update for IoT Hub and Microsoft Connected Cache preview IoT Edge module enables update for devices that are disconnected at any level of a hierarchy of IoT devices. We'll demonstrate update of an Ubuntu package and a RP3 image on disconnected devices in a hierarchy.Learn more reading the docs at https://aka.ms/iotshow/UpdateDisconnectedDevices

Azure IoT Edge devices can now be nested to securely collect data across networks organized in hierarchical layers. Industrial customers commonly use layered networks to isolate and secure their most critical assets, as recommended by the ISA-95 standard. With this new IoT Edge capability, customers can quickly overcome the challenges of collecting data from each layer and gain local insights to help reduce unplanned downtime, increase equipment efficiency, and reduce product defects while fully complying with strict industry standards.Learn more at https://aka.ms/iotshow/IoTEdgeForIIot

Putting together a demo or a simple proof of concept for your Vision AI at the edge project has become pretty simple. But bringing this project to pilot then to production can be daunting.Mahesh Yadav joins Olivier on this new episode to introduce the open source project VisionOnEdge which gives you all you need to rapidly get your project to a production ready state.Learn more reading Mahesh's blog post at aka.ms/iotshow/VisionOnEdge

Wait what? Updating disconnected IoT devices over the air?Here is how to update your disconnected IoT devices with Azure Update for IoT Hub. The Microsoft Connected Cache Preview IoT Edge module will provide Device Update for Azure IoT Hub customers with the capability of an intelligent in-network cache, which enables image-based and package-based updates of Linux OS-based devices behind and IoT Edge gateway (downstream IoT devices). In cases where downstream Azure IoT Edge devices do not have internet connectivity or may not be allowed to download content from the internet, this capability is important. Check out the docs: https://aka.ms/iotshow/UpdateDisconnectedDevices

For Azure customers and partners, secure update is one of the first device management functionalities they want to adopt. In Azure Percept, the update stack is core to the devices and experiences.Join Olivier, Alex and Saravanan as they describe and demo how a resilient Over-The-Air update solution is implemented with Azure Percept.Learn more reading the blog post: https://aka.ms/iotshow/UpdateAzurePerceptDK

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

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

What is it?Device Update for IoT Hub is a comprehensive platform that customers can use to publish, distribute, and manage over-the-air updates for everything from tiny sensors to gateway-level devices. This platform is now in preview in the Western US, Asia, and Europe to keep devices and applications secure and updated.Why should partners and customers care?Keeping a network of IoT devices secure and up to date can be complex and costly, especially for organizations with limited technology staffing. Rather than take on the cost and work of building and maintaining custom update solutions, Device Update for IoT Hub customers can take advantage of a platform that is tailored for IoT devices and built on the experience Microsoft has developed through regularly updating hundreds of millions of Windows devices. Learn more by reading the blog post at https://aka.ms/iot-hub-device-update-blog

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

Azure Digital Twins is now Generally Available! Join us to learn more about the exciting new features and gain insights that help you drive better products, optimize operations and costs, and create breakthrough customer experiences. Apply your domain expertise on top of Azure Digital Twins to build connected solutions.Learn more reading the docs at https://aka.ms/iotshow/AzureDigitalTwinsDocs

Karl Hammar, Assistant Professor of Computer Science at Jönköping University in Sweden, introduces the RealEstateCore ontology – an open-source data model for smart buildings, based on established practices in the real estate, construction, and building management sectors, but supporting leading-edge IoT-based scenarios. Karl is joined by Alina Stanciu from the Azure Smart Places & Energy and Azure Digital Twins to describe the RealEstateCore types and relations, how these models can be uploaded and used in Azure Digital Twins and exemplify how queries built against these models can be reused across multiple deployments to prove the benefits of model standardization and data interoperability.Learn more reading the blog post at https://aka.ms/iotshow/RealEstateCore

Azure IoT Plug and Play is now natively supported in IoT Central. Solution builders can develop end-to-end IoT solutions using IoT Central and PnP ready devices with zero code. This drastically reduces development and deployment costs and overall time to market. ISVs and partners building Line of Business (LOB) applications can rapidly accelerate development by using ready-to-use Plug and Play devices from a wide selection of devices from the Plug and Play certified catalog. https://aka.ms/iotshow/IoTPnPInIotCentral

Let us show you what powers an end-to-end Retail analytics solution built with Azure IoT.The whole end-to-end solution is available for you to try out on GitHub: https://aka.ms/iotshow/retailFrom detecting that a shelf is empty using IoT Edge, to fulfilling a customer's order, managing stocks, and getting AI-based recommendation for reordering items, the solution is taking advantage of IoT Central, Power apps, Logic Apps, Azure Machine Learning and more.

Cellular connectivity for IoT devices and equipment can be transformative for customers, especially when connecting legacy investments. It's important to understand the options available and the security strategy that goes with them. Nicholas Chen joins Olivier on the IoT Show to discuss how Azure Sphere allows for secure connection of IoT devices over cellular and what developers should pay attention to. To learn more about Azure Sphere Cellular Connectivity, visit https://aka.ms/iotshow/azurespherecellular

74% of IoT deployments slow down or stall completely as users grapple with the complexity of provisioning and managing their edge hardware at scale. Learn how the integration of ZEDEDA's IoT Edge orchestration solution with Azure IoT makes it possible to fast track and scale your entire project. Features include one-click bulk provisioning, full lifecycle management of hardware, the Azure IoT Edge runtime, Azure IoT modules and any other installed apps, security enhancements like distributed firewall and concurrent support for legacy apps deployed in Windows VMs.Check out Zededa Edge Quick Connect on the Azure Marketplace at https://aka.ms/iotshow/ZededaEdgeQuickConnect

Azure IoT Hub can now be deployed on Azure Stack Hub (ASH) in Public Preview! Rita Cao, PM in the Azure IoT team tells and shows us how it works and what scenarios this unlocks. We also discuss what the differences are between IoT Edge and IoT Hub on Stack Hub and what the feature parity looks like between IoT Hub on Azure Cloud and IoT Hub on Azure Stack Hub.Learn more about IoT Hub on Azure Stack Hub, visit https://aka.ms/iotshow/IoTHubOnStackHub

See how the Internet of Medical Things (IoMT) enables precision rehabilitation in Total Knee Replacement (TKR) scenario using the Azure API for FHIR® integrated with Azure IoT services.Learn more at https://aka.ms/FHIR

Beau Hayes-Pollard, Junior at Brookline High School, joins us on the IoT Show to talk about his Bit Heroes project: a remote heart rate monitoring system using Arduino, Azure IoT Hub, Azure Functions and more.Check out Beau's projects on GitHub: https://aka.ms/iotshow/beau

Save time, money, and precious resources with a cloud-based, self-provisioning, ready-to-deploy Predictive Operations Platform. Unlock your subject-matter experts with predictive applications that place them at the center of the solution. Check out TwinThread on the Azure Marketplace at https://aka.ms/iotshow/twinthread

Machine learning in deeply embedded systems is changing the landscape for the value that IoT endpoints can create. Learn how TinyML models are being deployed on low-cost, low-power microcontrollers. Specifically, learn how TinyML is being paired with the natively-connected, highly-secure Microsoft Azure Sphere MCU.Learn more reading the blog post at https://aka.ms/iotblog/TinyMLforIoT

Sensoria Health has completed development of the first IoT connected, comfortable and AI enabled cushion and software system designed for wheelchair users to reduce risk of ulceration. This solution leverages Azure IoT Central to simplify device connectivity and data ingestion. Learn more about the Sensoria Mat visiting https://www.sensoriamat.com