MLSecOps with Automated Online and Offline ML Model Evaluations on Kubernetes

MLSecOps with Automated Online and Offline ML Model Evaluations on Kubernetes

Explore automated online and offline machine learning model evaluations on Kubernetes in this 40-minute talk presented by Tommy Li and Animesh Singh from IBM. Gain insights into MLSecOps practices and learn how to leverage Kubernetes for efficient model evaluation processes in both online and offline scenarios. Discover techniques to enhance the security and operational aspects of machine learning workflows within a Kubernetes environment.