Identify features of data monitoring and anomaly detection workloads
Anomaly Detector is an AI service equipped with a suite of APIs designed to empower users in monitoring and identifying anomalies within their time series data, even with limited Machine Learning (ML) expertise. Whether you require batch validation or real-time inference, Anomaly Detector has you covered.
This service offers two primary functionalities:
- Univariate Anomaly Detection
- Multivariate Anomaly Detection
Univariate Anomaly Detection allows users to identify anomalies in a single variable, such as revenue or cost, without the need for extensive ML knowledge. The model selection process is automated based on the data pattern, ensuring optimal performance regardless of industry, scenario, or data volume. By leveraging time series data, the API establishes boundaries for anomaly detection, determines expected values, and identifies anomalous data points.
On the other hand, Multivariate Anomaly Detection APIs enable...
