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Status Submitted
Workspace IBM Event Automation
Categories Event Processing
Created by Guest
Created on Apr 5, 2024

RELATED IDEAS

Flink ML Algorithms for Anomaly Detection & Noise Reduction

IBM's Signature client, American Express, are currently reviewing the use of “Exponentially Weighted Moving Average” and “Probabilistic Exponentially Weighted Moving Average” algorithms within Flink to detect anomalies and reduce anomaly noise. The client has requested that IBM's Event Automation team include these algorithms in our Flink operator pallet, or plan to include them in a future release.

 

For reference and more detail, the link below is a presentation from one of the Flink creators on how these algorithms can be implemented within Flink.

https://www.bing.com/videos/riverview/relatedvideo?&q=Apache+flink+anomaly+detection&&mid=985CFE16C44D771FF3B5985CFE16C44D771FF3B5&&FORM=VRDGAR

Observability T...
Observability Trace-Metrics Arch - IBM v1.pptx
Open full size
Observability Trace-Metrics Arch - IBM v1.pptx
Idea priority High

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