Table of Contents
AI Toolkit for Azure IoT Edge
“Bring the power of artificial intelligence and machine learning to the edge. Package pre-built AI models such as predictive maintenance, image classification, and speech processing and deploy to IoT gateways or devices with Azure Machine Learning and Azure IoT Edge.”
“The integration of Azure Machine Learning and Azure IoT Edge enables organizations and developers to apply AI and ML to data that can’t make it to the cloud due to data sovereignty, privacy, and/or bandwidth issues. All models created using Azure Machine Learning can now be deployed to IoT gateways and devices with the Azure IoT Edge runtime. Models are operationalized as containers and can run on many types of hardware, from very small devices all the way to powerful servers.”
“This toolkit will help get you started with AI and Azure IoT Edge. The toolkit will show you how to package deep learning models in Azure IoT Edge-compatible Docker containers and expose those models as REST APIs.
Concepts
- Azure Machine Learning is designed for data scientists to build, deploy, manage, and monitor models at any scale
- Azure IoT Edge moves cloud analytics and custom business logic to devices as an Internet of Things (IoT) service that builds on top of IoT Hub
- AI Toolkit for Azure IoT Edge is an evolving set of scripts, sample code, and tutorials that enable you to easily set up a test environment and run AI and ML on an edge device