Accelerating machine learning innovation securely with Amazon SageMaker (Level 200)
To build successful machine learning models you need datasets unique to your organization. These datasets are extremely valuable assets and need to be secured throughout every step of the machine learning process. In a typical machine learning project it can take months to build a secure workflow before you can begin any work on your models. Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly and securely. In this session, we provide an overview of the Amazon SageMaker security features that help organization meet the strict security requirements of machine learning workloads.
Michael Stringer, Senior Solutions Architect, AWS