Azure AI anomaly detection can help you predict problems before they happen. You can easily embed time-series abnormality detection capabilities into apps to help users quickly identify problems. AI Anomaly Detector ingests all types of time-series data and selects the most accurate anomaly detection algorithm to ensure high accuracy. Detect spikes, dips and deviations from cyclic patterns through univariate or multivariate APIs. You can customize the service to detect anomalies of any level. You can deploy the anomaly detection service in the cloud, or at the intelligent edge. A powerful inference algorithm assesses your data and selects the best anomaly detection algorithm for your scenario. Automatic detection eliminates the requirement for labeled data, allowing you to save time and focus on fixing problems as they arise.