Beginning Anomaly Detection Using

 Implementation of Deep Learning-Based Anomaly 

Detection

Given these use cases in these different industries, what are the key steps in establishing 

an anomaly detection practice in your organization or business?

The key steps involved in anomaly detection are as follows:

•  Identifying business use case and getting aligned on the expectations

•  Defining what data is available and understanding it and the nature 

of the data itself

•  Establishing the processes to consume the data in order to process it

•  Establishing the type of models to use

•  A strategic discussion of how the models will be used and executed