Explore and Operationalize Machine Learning Models with Amazon Athena

Speaker: Saurabh Bhutyani, Senior Analytics Specialist [Session Level - 300]

Organizations face several challenges in fully building out their Machine Learning (ML) capabilities. Data is often stored across multiple sources, making it difficult to unify analysis and explore data. Not enough talent is proficient in ML, creating a bottle-neck with Data Scientists. In this session, we'll show you how to use the Athena's federated query and ML features to conduct self-service data exploration from any data source, deploy the model once in SageMaker, and allow anyone with SQL proficiency to use those models for inference any number of times they want.