Predictive maintenance end-to-end test

Now it's time to test the end-to-end solution.

1. With the Azure Sphere device, generate a gesture. This will initiate the following sequence of events.

2. The TinyML model running on the real-time core will generate a fault prediction and send a message to the predictive maintenance app running on the high-level core.

3. The predictive maintenance app running on the high-level core will then update the Azure IoT Central FaultPrediction property.

4. Azure IoT Central will export the updated property to the Azure Logic app.

5. The Azure Logic app will run the workflow and send a message to a Microsoft Teams channel.

6. A service person will be dispatched to fix the HVAC system.

7. Result, happy customer and efficient operations :)