Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it—in the cloud or at the intelligent edge.
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Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it—in the cloud or at the intelligent edge.
Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface.
Customizable settings let you fine-tune sensitivity to potential anomalies based on the risk profile of your business.
Identify multivariate anomalies
Use multivariate anomaly detection to evaluate multiple signals and the correlations between them to find sudden changes in data patterns before they affect your business.
References:
https://azure.microsoft.com/en-in/products/cognitive-services/anomaly-detector
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