Reproducibility, traceability, explainability… the Machine Learning lifecycle for regulated industries is no easy feat, and building a data science platform for a bank or the government that supports this lifecycle requires a deep set of capabilities and experience. To close this gap between the classic Machine Learning lifecycle and regulated industry requirements, AWS provides a set of services and solutions to create secure, governed, and compliant Machine Learning environment, that do not compromise on data science teams’ agility. In this session, we share the best practices implemented for customers in highly regulated industries and the programs, resources, and tools available to help you build a successful data science and machine learning platform on AWS.
Speaker: Natacha Fort, Senior Domain Solutions Architect - AI/ML, AWS
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