Building secure MLOps platforms for regulated industries

This 60 min session provides an overview what tools and platforms are available to implement MLOps: Apache Airflow, MLflow, and Amazon SageMaker pipelines. We are going to take a look at the best practices and a ready-to-use solution for implementation of secure MLOps pipelines using Amazon SageMaker.

On hand of real-life use cases from Financial Services Industry the talk demonstrates how SageMaker features can be used to develop secure self-service data science environments with automated CI/CD workflows.

The talk also shows how to implement multi-layer security concept to secure your data and ML workloads.