Machine Learning is a key asset for Industrial IoT scenarios, but is a complex technology that presents many challenges. In this new episode of the IoT Show we will discuss the common Industrial IoT prediction patterns Machine Learning is used to implement and will demo resources and samples made available on GitHub to help you become familiar with Machine Learning for IIoT. - [0:00](#time=0m00s) Teaser - [0:30](#time=0m30s) Introductions - [1:30](#time=1m30s) What are the typical use cases for ML use in IoT solutions? - [3:30](#time=3m30s) What are the core steps for implementing Machine Learning? - [7:09](#time=7m09s) Demo: Exploration (problem definition, data acquisition, exploratory analysis) - [25:00](#time=25m00s) Demo: Experimentation (base line modeling, auto-ML, align Business and ML objectives, Model and data management, training pipeline) - [35:50](#time=35m50s) Demo: Operation (Business actions mapping, deployment and monitoring) - [38:12](#time=38m12s) Wrap up and call to action Learn more reading Jomit's blog post: https://aka.ms/iiot-ml Check out the samples repository: https://aka.ms/iiot-samples

Updating hundreds, thousands or even millions of microcontroller devices over the air is critical to secure IoT solutions. In this episode we discuss the challenges this presents and will demo how the Azure Device Update service allows to do this on ESP32 devices powered by FreeRTOS and a new middleware developed by our teams

Microcontrollers such ESP32's, Arduino's, ESP8266 are incredibly popular in the maker space and with protocols such as MQTT and firmware such as Tasmota connecting these into Azure has never been easier. What value could I derive from replicating my home events into Azure? What higher level services could I use that goes above and beyond local systems such as HomeAssistant? These are the questions Shane asked himself while connecting his MQTT based home automation system to Azure, and he joins Olivier on the IoT Show to share his experience. Learn more at https://aka.ms/iotshow/shane 0:00 Teaser 0:35 Introductions, Shane's story 2:47 Background 5:07 Using MQTT to connect devices directly to Azure IoT 9:52 Leveraging the IoT Edge MQTT Broker 12:00 Connecting a local MQTT Broker to Azure IoT using the Python device SDK 25:50 Wrap up and call to action

The new Edge-secure core certification program extends the Secured-core label into IoT and edge devices. 0:00 Teaser 0:32 Introduction 1:28 Why are device certification programs important? 2:20 What is the Secured-Core certification program for PCs and Server? 2:50 Extending the label to IoT and Edge devices 4:20 Core principles for the Edge Secured-Core certification 8:20 How can customers find certified devices 8:58 Wrap up and call to action The program helps customers easily identify devices that help keep their infrastructure secure and sage. Charles Broadfoot joins Olivier on the IoT Show to describe the new certification. You can also learn more at https://aka.ms/certhome

Integrating constrained IoT devices into a Cloud solution entail more than simply getting an Internet connection. The reality of constrained devices is that they can't always run custom software or establish a secure Internet connection directly. They use low-power, low-bandwidth protocols (LPWAN) such as LoRa, NBIOT, SAT, CAT-M that need bridging to establish a link to Cloud services and applications. Tartabit's IoT Bridge is a complementary IoT service built for developers who must integrate low-power, low-bandwidth devices into their Microsoft Azure IoT centric solutions. Utilizing a set of powerful solution templates that provide easy integration to your Azure environment, IoT Bridge will get your solution up and running in no time! Learn more about Tartabit's IoT Bridge at https://aka.ms/iotshow/TartabitIoTBridge

DDI Labs is an Australian Al / computer vision startup that analyzes video footage in public spaces, leveraging loT Central to provide actionable insights for their clients. These insights have allowed them to reduce their operational costs, increase security, and improve internal logistics. With the help of IoT Central, DDI Labs are helping create sustainable public spaces that benefit their clients, customers, and the community. Learn more at https://aka.ms/iotshow/DDILabs 0:00 Teaser 0:37 Introductions 1:35 Description of a solution that uses VisionAI, Azure IoT Central and IoT Edge to enhance workflows and processes 3:44 Demo: VisionAI and operation interface app 9:09 Demo: Azure IoT Central and IoT Edge under the hoods 15:22 Other real-life scenarios leveraging VisionAI 16:30 Wrap up and call to action