Jim Bennett joins Olivier Bloch 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.
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
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 through some of the main features of the solution.
Learn more about Azure Defender for IoT at https://aka.ms/iotshow/AzureDefenderForIoT
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.
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.
In this video, 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?
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
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.
See how the Azure IoT team is working with the Smart Cities ecosystem to enable interoperability by providing DTDL-based ontologies.
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