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"Chaos Engineering & Machine Learning - Practical Applications for Improving Customer Experience" by Sudhir Borra (Comcast)

The presentation goes over how we can integrate principles of chaos engineering into building machine learning models. The output from these integrated models are different from traditional ML models and can be used across a wide spectrum of industry use cases.

The focus is on micro-services based applications with emphasis on cloud native and serverless environments. We cover several scenarios and real examples using insights from our implementation. We dwell into how these models can be deployed at the edge for improving customer experience, realizing intrusion detection use cases, as well as customizations that can be easily incorporated with this approach.