1/31/2024 0 Comments Anomaly youtubeThe following picture shows the algorithm selecting flow of Anomaly Detector. ![]() In our different ensembles, we have following algorithms used. Our innovation is that we provide a generic framework to plug in different algorithm ensembles to handle a wide spectrum of different time series. Our learning is that each algorithm can handle some specific type of time series better. Which mean they apply some specific algorithm on all types of time series. State of art anomaly detection system often uses a one size fit all approach. That makes it a perfect fit for integrating Microsoft anomaly detection capabilities into your business applications if you are tired of tuning the parameters for your AI algorithms or if you have no machine learning background. It hides details of anomaly detection algorithms into only one main parameter to adjust the sensitivity of the detection. Using Anomaly Detector APIs, you can infuse anomaly detection capabilities into your own platform and business process.Īnomaly Detector is designed for anyone who can make a REST API call with script or code. It is designed for the scenarios of operational monitoring, business KPI monitoring, and IoT monitoring. ![]() At Microsoft, hundreds of teams rely on the technology we have built to monitor millions of metrics from Bing, Office, and Azure.Īnomaly Detector provides two APIs that detect anomalies automatically in time series with simple parameters, which require no machine learning background. Accurate anomaly detection leads to prompt troubleshooting, which helps to avoid revenue loss and maintain brand reputation. We’d like to use this blog to provide additional details on Anomaly Detector and how to use it to achieve the best result with code walkthrough.Īnomaly detection aims to discover unexpected events or rare items in data. ![]() We are pleased to see the adoption from a variety of customers across different industry verticals. Anomaly Detector was on public preview on 3/26.
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