Introducing Azure Anomaly Detector

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 Azure
• Find 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 community

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