Real-time predictive maintenance with Azure ML Studio & PowerBI

Speakers: Breght Van Baelen, Saar Gillis

Duration: 1 hour



In this session, racing data (a toy dataset) will be used to demonstrate how predictive maintenance can be implemented with an end-to-end Microsoft Azure solutions. First, data from car sensors will be ingested into Azure with Event Hubs. Using Streaming analytics and Azure ML Studio, we'll predict when a car needs a tire change in real-time. The engineers of a racing team can confirm or deny the prediction in a Power BI report with Power Apps, which can be used to further train the AI algorithm.

Breght Van Baelen Saar Gillis  400