Machine learning operations (MLOps) tools help you automate and standardize processes across the ML lifecycle to productionize ML models more quickly and maintain model quality in production. Amazon SageMaker provides a breadth of MLOps tools to train, test, troubleshoot, deploy, and govern ML models at scale. In this session, explore Amazon SageMaker MLOps features, including SageMaker Pipelines, SageMaker Projects, SageMaker Experiments, SageMaker Model Registry, and SageMaker Model Monitor, and learn how to increase automation and improve the quality of your ML workflows. Hear from NatWest Group about how they built a secure MLOps platform using Amazon SageMaker to standardize their ML model development and deployment process across the organization.
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