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

Ricky Brundritt, PM in the Azure Maps team, walks Olivier through data driven styling with Azure Maps. Data driven styling allows you to dynamically style layers at render time on the GPU using properties on your data. This provides huge performance benefits and allows large datasets to be rendered on the map. Data driven style expressions can greatly reduce the amount of code you would normally need to write and define this type of business logic using if-statements and monitoring map events.

Related links:

In this video, learn about the heat map and image layer visualizations in side of Azure Maps. Heat maps are used to represent the density of data using a range of colors. They are often used to show the data “hot spots” on a map and are great to help understand data. The heat map layer also supports weighted data points to help bring the most relevant information to the surface.

The image layer allows you to overlay georeferenced images on top of the map so that they move and scale as you pan and zoom the map. This is great for building floor plans, overlaying old maps, or imagery from a drone.

Related Links:

Microsoft recently announced the public preview of Azure Digital Twins, a new platform for comprehensive digital models and spatially aware solutions that can be applied to any physical environment. Lyrana Hughes joins Olivier Bloch on the IoT Show to demonstrate how to use Azure Digital Twins to connect people, places, and things, and to build IoT solutions with spatial intelligence.

Learn more about Azure Digital Twins: https://azure.microsoft.com/blog/announcing-the-public-preview-of-azure-digital-twins/

Try out our quickstart guide: https://docs.microsoft.com/azure/digital-twins/quickstart-view-occupancy-dotnet