Summary
Amazon Lookout for Equipment is an AI-/ML-managed service running in the cloud. It leverages multiple algorithms to perform anomaly detection on multivariate datasets while abstracting away all the ML decisions you need to take when building your own custom models (for example, questions such as How do I set the threshold to actually capture the anomalies I'm interested in?).
The service is also fully unsupervised. This means that you do not need to spend valuable time to label massive amounts of multivariate time series data. Amazon Lookout for Equipment makes it easy to build whole farms of models that can be applied to each of your individual assets. This allows the service to learn the specific behavior that each asset has developed over the course of the year depending on how it has been manufactured, operated, and maintained.
In this chapter, you learned about the many approaches multivariate anomaly detection can take and the challenges Amazon Lookout for...