Virtual Workshop: Learn How to Detect Anomalous Asset Behavior with Microsoft Azure IoT

Unplanned downtime can be extremely expensive and disruptive for manufacturers. Predictive maintenance reduces your operational disruptions, while maximizing the lifespan of existing, capital-intensive equipment. A prerequisite to enabling predictive maintenance is detecting asset behavior anomalies that are good predictors of a future suboptimal state, including asset downtime.

To reduce the cost and complexity of delivering anomaly detection for industrial assets, Codit and Microsoft have developed Anode. It’s an end-to-end solution, built on Azure IoT, that analyzes time series data from industrial sensors to detect anomalous vibration, temperature, and acoustic conditions.

What You’ll Learn 

In this 2-hour workshop, hosted by Codit and Microsoft, you will learn and see how Anode works. Codit’s Christoph Zingg and Andrej Burger will walk you through an overview of current trends, how to implement an IoT solution with Microsoft Azure, to avoid common pitfalls and take a deep-dive into Codit’s Asset Anomaly Detection Solution. You will also experience a demo of Anode and see how it works. By the end of the workshop, you will understand how it can be used for predictive maintenance, how it can help to minimize downtime, and how it can prevent costlier unscheduled repairs.

Learn more about the solution by signing up for this limited-space workshop on 30^th June.