Build Predictive Analytics in Tableau Using Machine Learning Models Deployed on Amazon SageMaker

Customers are looking to use machine learning (ML) to perform predictive analytics within Tableau, a popular business intelligence (BI) tool. But building a custom integration to access ML models that are deployed on Amazon SageMaker from Tableau can take time and resources. The new Quick Start solution from AWS and Tableau makes it easy for data analysts to use ML models deployed on Amazon SageMaker directly in their Tableau dashboards, enabling ML-driven predictive analytics without writing any custom integration code. In this tech talk, learn how the solution works and how to deploy it. We'll also do an end-to-end demo and discuss some of the common use cases for the integration. Learning Objectives: *Understand how the Amazon SageMaker for Tableau integration works *Learn how to use Amazon SageMaker Autopilot to train a machine learning model and deploy it *Learn how to deploy the integration, and how to make ML-driven predictions in Tableau dashboards ***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/ Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch: https://twitch.tv/aws Twitter: https://twitter.com/awsdevelopers Facebook: https://facebook.com/amazonwebservices Instagram: https://instagram.com/amazonwebservices ☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS. #AWS