services like Stream Analytics, Functions, and Machine Learning can easily be
run on-site and AI module easily created with the AI Toolkit for Azure IoT Edge.- With services like trained models or Azure Steam Analytics, data can be locally
processed with only what’s needed being sent to the cloud for analysis. This
lowers the cost of sending data to the cloud while maintaining the high data
quality. - IoT Edge shares the programming model that other Azure IoT services do which
means one code can be run on-device or in the cloud. IoT Edge provides support
for multiple operating systems, and multiple programming languages, enabling
users to stick with what they know best and retain their business logic without
having to start over.
IoT Edge can be used for multiple services, including:
- Building and deploying AI models
- Customization of computer vision models
- Processing streaming data in real-time
- Using serverless code for processing events
- Deploying SQL Server databases to the edge
- Building custom logic
Fully compliant with Industry 4.0 interoperability standards, Microsoft is continually
adding services to Azure IoT Edge.