Securing IoT, especially the intelligent edge, is a tall challenge that is best deliverable through a transparent community approach of unifying value contributions from various technology expertise to include but not limited to secure chip technologies, cryptography, software security engineering, and secure device engineering. The IoT Edge security model encourages this transparent community approach where we invite the experts to join us in engineering a safe and secure IoT.

Is this episode of the IoT Show, Eustace Asanghanwa, security PM in the Azure IoT team, walks us through the Azure IoT Edge security model and describes the Azure IoT Edge Security Manager.

Tune in on 6/19th at 9AM PT (or watch on demand after) for a live IoT Show Deep Dive on the topic: https://aka.ms/iotshow/deepdive/005

Learn more about the Azure IoT Edge Security Manager:
https://aka.ms/iot-edge-security-manager
https://azure.microsoft.com/blog/securing-the-intelligent-edge/ https://docs.microsoft.com/azure/iot-edge/security

Try Azure IoT for free today: https://aka.ms/aft-iot

When Mixed Reality meets the Internet of Things through Azure Digital Twins, a new way of accessing data materializes. See how Interknowlogy mixes Azure IoT and Mixed Reality to deliver not only stunning experiences but also accrued efficiency and productivity to workforce.

Travis Schilling and Bret Faller from Interknowlogy show us the SmartHotel360 IoT and Mixed Reality demo which is a complete end-to-end solution involving platforms like Azure Digital Twins and Azure Spatial Anchors.

Learn more about these sample applications:
https://github.com/Microsoft/SmartHotel360-IoT
http://github.com/Microsoft/SmartHotel360-MixedReality

Learn more about Digital Twins: https://docs.microsoft.com/azure/digital-twins/

Learn more about Interknowlogy: https://interknowlogy.com/

Anita Ganti and Calvin Smith from Wipro, one of our IoT Elite partners, joined the IoT Show to share how they became early adopters of the Azure IoT platform and tools to offer solutions in Industrial manufacturing, Aerospace, Defense, Farming, Healthcare, and more.     

Texas Instruments recently announced a new SimpleLink™ Wi-Fi, dual-band single-chip wireless MCU as a part of TI’s SimpleLink microcontroller platform of wired and wireless Arm® MCUs. 

TI is extending support for Azure IoT development through the SimpleLink SDK and SDK Plugin for Azure IoT and LaunchPad™ development kits. Adrian Fernandez, of Texas Instruments, will discuss the SimpleLink MCU platform and the software that is designed for simplified development within the CCS or IAR Embedded Workbench IDE using industry standard APIs, TI drivers, and TI RTOS or FreeRTOS to provide a robust foundation for application development. He’ll also show to use the LaunchPad development kit and SimpleLink SDK software to connect to Azure IoT using the a certified port of the Azure C SDK via the SimpleLink SDK Plugin for Azure IoT.

Get your hands on a Launchpad dev kit: http://www.ti.com/product/CC3235SF/toolssoftware

Try Azure IoT for free today: https://aka.ms/aft-iot

In this video, learn about the recently announced IoT Plug and Play, which is based on an open modeling language that allows IoT devices to declare their capabilities.  That declaration, which is called a Device Capability Model, is then presented when IoT devices connect to cloud solutions like Azure IoT Central and Partner Solutions which can then automatically understand the device and start interacting with it– all without writing any code.

   
Learn more about the Digital Twin Definition Language 
Find IoT Plug and Play devices in the Certified for Azure device catalog 
Try Azure IoT for free today: https://aka.ms/aft-iot

Azure Stream Analytics is a PaaS cloud offering on Microsoft Azure to help customers analyze IoT telemetry data in real-time. Stream Analytics now has embedded ML models for Anomaly Detection, which can be invoked with simple function calls. Learn how you can leverage this powerful feature set for your scenarios.

Learn more : https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection
Create a Free Account (Azure): https://aka.ms/aft-iot