5 Questions to Ask When Choosing an Anomaly Detection and Prediction Strategy

The growth of the Industrial Internet of Things (IIoT) presents great opportunities for organizations to harvest machine sensor data to reduce machine downtime and the disruption it presents. But how can an organization best capture that data and turn it into insightful analysis? Anomaly detection and prediction, powered by machine learning and AI is a viable choice.

This checklist poses five important questions you need to ask when selecting your approach to anomaly detection and prediction. We explore topics like:

  • How to prioritize anomalies
  • How to measure the dynamics of your work environment
  • How to determine what type of approach – reactive or proactive – to take

To explore these topics and more, download the checklist today.

Download the Checklist