Davis AI anomaly detector is a customizable detector that identifies data points that deviate from the expected behavior or pattern of the time series. The anomaly detector leverages the power and flexibility of DQL to filter your meaningful time series data tailored to the specific domain use case.
Additionally, you can select one of the Davis anomaly detection analyzers to monitor each data point in the time series for anomalies.
