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 allowsto 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.
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
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