Time-series data is more than just numbers. Identifying patterns and trends is important, but monitoring and detecting abnormalities in your data are relevant tasks that helps businesses to adapt and solve problems.

Anomaly Detector is an Azure AI service that helps you foresee problems before they occur. Through an API, this service ingests time-series data and selects the best-fitting detection model for your data to ensure high accuracy.

In this session, the Anomaly Detector service will be described, including terms, algorithms, parameters, costs, and best practices. A mobile app that analyzes time-series data and finds anomalies will be used to demonstrate the service.