Stuff happens!!! In this episode of the AI Show we look at a simple way to detect anomalies that can occur in your data. Knowing when something goes off the rails is incredibly important and now easily done with a simple API call! I was certainly impressed with the AI powered Azure Anomaly Detector and hope it inspires you too. To learn more see: Check out the overview of the API service on https://aka.ms/AnomalyDetector.Create your first Anomaly Detector resource on Azure: https://aka.ms/adNew.Find the Azure Notebook demo on https://aka.ms/adNotebook (remember to uncheck "Public" when you clone your instances).Check out our next episode "Bring Anomaly Detector on-premise with containers support" for containers support. Join Anomaly Detector Containers preview through https://aka.ms/adContainer.Join "Anomaly Detector Advisors" public community to connect with the product team and other members in the community through https://aka.ms/adAdvisorsJoin.Re-Visit Your Favorite Part of the Video: [00:42] An overview of Anomaly Detector service.[00:70] What are the use cases of Anomaly Detector?[02:30] What are the technical challenges of detecting anomalies from time series data?[04:00] How does Anomaly Detector address the challenges?[06:57] Demo of a Jupyter Notebook of Anomaly Detector.Learn More: Check out the overview of the API service Create your first Anomaly Detector resource on AzureFind the Azure Notebook demo (remember to uncheck "Public" when you clone your instances)Check out our next episode "Bring Anomaly Detector on-premise with containers support" for containers support. Join Anomaly Detector Containers preview Join "Anomaly Detector Advisors" public community to connect with the product team and other members in the communityThe AI Show's Favorite Links: Don't miss new episodes, subscribe to the AI ShowCreate a Free account (Azure)Follow Seth on TwitterAI BlogFast MLMIT News | AIMedium | Fran