Integrate ML into your analytics workloads

Join this session to learn how to easily use ML in your data science work. Learn how with Amazon Redshift ML, you can take advantage of Amazon SageMaker, a fully managed ML service, without learning new tools or languages. You can use familiar SQL commands in your Amazon Redshift data warehouse to create, train, and apply ML models. For example, you can use customer retention data in Amazon Redshift to train a churn detection model and then apply that model to your dashboards for your marketing. The model is available as a SQL function within your Amazon Redshift data warehouse so you can easily apply it directly in your queries and reports.