MKT212: Deep dive on using AWS Data Exchange for ML and data analytics

Doing machine learning and data analysis at scale requires access to high-quality datasets. AWS Data Exchange is a new service that makes it easy to find, subscribe to, and use third-party data in the cloud. In this technical session, we dive deep on how to procure a third-party data product from AWS Data Exchange and algorithms from AWS Marketplace to train machine learning models in Amazon SageMaker. You also see how Virtusa is distributing synthetic datasets relating to more than 365 million virtual patients as well as more than 815 billion records using AWS Data Exchange to advance data science and predict patient outcomes.