Integrating Machine Learning Models with Real-time Flow
Once our machine learning model is ready, as the last step we integrate the machine learning model with the runtime flow as shown below.
We added one more event handler to the existing flow, which calls our predictive model Azure ML service through the API. Based on the response, if maintenance is required the event handler invokes an external request to maintenance workflow system to initiate a work order for repair. The integration of driver behavior analysis is pretty much the same and in this case, the output goes to mobile and the web instead of a maintenance request.
This complete the Azure IoT implementation