Azure Anomaly Detector

Anomaly Detector on Microsoft's Azure is an AI service that helps foresee problems. Users can embed time-series anomaly detection capabilities into apps to help users identify problems quickly. Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for the data to support high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. The service can be customized to detect any level of anomaly, and it can be deployed from the cloud or at the edge as needed.

Some features or highlights:

• Its inference engine assesses a time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for the user's scenario.
• Automatic detection eliminates the need for labeled training data to help save time and stay focused on fixing problems as soon as they surface.
  
• Customizable settings lets users fine-tune sensitivity to potential anomalies based on the risk profile of the business.
• Can be setup with 3 lines of code.