Anomalies / Fault Detection
Identifying outliers and anomalies using signal detection
The discovery of anomalies create powerful signals in the form of an "outlier" appearing repeatedly in the prior domain of analysis.
Outliers are very distinctive, and they stand out from the rest of data. When this is the case, accurate data-driven decisions can be made.
We help you design automated outliers and anomaly detection models using machine learning capabilities.