Oracle Cloud Infrastructure (OCI) Anomaly Detection is an AI service that enables developers to more easily build business-specific anomaly detection models that flag critical incidents, resulting in faster time to detection and resolution. Specialized APIs and automated model selection simplify training and deploying anomaly detection models to applications and operations—all without data science expertise.
Read more about OCI Anomaly Detection here
My starting point is the workshop, which can be found here
The workshop is very easy to follow - essentially you have the following artifacts -
- Projects - for organizing your work
- Data Assets - links to the data sources which will be used as the basis for anomaly detection.
- Models - ML models trained to detect anomalies. Models leverage Data Assets for the base data.
- Detection - you can upload a file and test it against the model, or else you can leverage the Anomaly Detection api for this. We will be using the latter, in respect of OIC.
Sehr gut! as we say in Franconia. Next let's look at the Anomaly Detection API.
Now I use OIC to invoke a couple of these - first to creating the connection...