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

Many IoT solutions are business-critical systems that must be reliable and available at the edge. With this new integration, users can use a modern, feature rich and resilient infrastructure layer that Kubernetes provides to run their edge applications. These applications are powered by Azure IoT Edge which provides cloud-managed intelligence by deploying and running AI, Azure services and custom logic directly on the cluster. Edge applications can continue to be managed remotely, securely and at-scale using the simple and familiar deployments from Azure IoT Hub. Learn more at https://aka.ms/iotedge-on-kubernetes Join us on May, 15th at 9am PT for an IoT Show Deep Dive: Deploying IoT Edge workloads on Kubernetes. Deep Dive will include a technical walk-through and Q/A. http://aka.ms/iotshow/deepdive/004 Join/watch the Build 2019 session Azure IoT Edge & AI: Enabling the Intelligent Edge for a demo Try Azure IoT for free today: https://aka.ms/aft-iot

In this episode, you will learn about all the new features and scenarios that the Central team is presenting at //build 2019, such as the ability to customize the product to your own brand, custom actions through Microsoft Flow or the integration with Azure IoT Plug and Play. Deploy your Azure IoT Central app today: https://www.azureiotcentral.com

We're thrilled to announce IoT Plug and Play, which is based on an open modeling language that allows IoT devices to declare their capabilities. That declaration, that we call 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

As new offerings such as Windows 10 IoT have become available, our customers and partners are increasingly interested in the advanced security, platform, and cloud connectivity features that these OS provide. To help customers move to Windows 10 IoT, leverage the intelligent cloud, and harness the full power of the intelligent edge including artificial intelligence and machine learning, Microsoft is developing technology that will allow most customers to run their existing, unmodified Windows CE applications on Windows 10 IoT while they continue to invest in updating their applications. In this episode of the #IoTShow you will get an overview of the CE migration technology with a demo. Sign up for private preview at http://aka.ms/cemigration

Learn and ask questions about: Azure Machine Learning, IoT Edge, Visual Studio Code, Visual Studio Guest Speakers: Mark Mydland and Pamela Cortez from the Microsoft Azure IoT teamLive Event! Our team will be live on chat and actively answering your questions! Description: Frequently, IoT applications want to take advantage of the intelligent cloud and the intelligent edge. In this Deep Dive, we walk you a predictive maintenance example that goes through training a machine learning model with data collected from IoT devices in the cloud, deploying that model to IoT Edge, and maintaining and refining the model periodically. Learn tips and resources you can use when building your own model and IoT Edge solution. The ML on the Edge Walk-through Example can be found here: https://github.com/Azure-Samples/IoTEdgeAndMlSample

As we are gearing up for Microsoft Build 2019, the IoT Show goes into Azure IoT's building on the Microsoft Campus to meet some of the speakers who are preparing awesome IoT content for you. Find the full list of IoT content and sessions at build: https://aka.ms/IoTatMSBuild2019

Mukund Ghangurde is part of the Industry x.0 practice at Accenture focused on driving digital transformation and digital reinvention with industry customers. Mukund joined us on the IoT Show to discuss the scenarios he is seeing in the industry where IoT is really transforming businesses and how (and why) Accenture is partnering with Azure IoT to accelerate and scale their IoT solutions. Learn more about Accenture and IoT: https://www.accenture.com/us-en/internet-of-things-index 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-detectionCreate a Free Account (Azure): https://aka.ms/aft-iot

RedisEdge from Redis Labs is a purpose-built database for the demanding conditions at the IoT edge. It has the ability to ingest millions of writes per second with <1ms latency, has a 5MB footprint, and is available on ARM32, ARM64, and x64 architectures. Learn more: https://redislabs.com/solutions/redisedge/Create a Free Account (Azure): https://aka.ms/aft-iot