How to start for implementing Anomaly Detection and using ML to identify them?
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yesterday
We are currently working on a demo instance to implement and demonstrate the ITOM event management use case, specifically focusing on anomaly detection within event management.
My understanding of how to begin this process is limited. I have installed both the event management and AIops-related plugins.
Could someone provide guidance on how to configure anomaly detection from the ground up? I do not have any integrations set up and need to manage everything directly within the ServiceNow instance.
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