Amazon SageMaker for Media and Entertainment Use Cases

79 Views

Thanks! Share it with your friends!

You disliked this video. Thanks for the feedback!

Published Feb 20, 2025

Media and entertainment companies use machine learning (ML) to create personalized content recommendations and improve content engagement. From video and music streaming to internet advertising and sports, Amazon SageMaker helps customers make smarter content investments, better monetize content libraries, and delight users with personalized experiences. In this tech talk, you'll learn how Amazon SageMaker helps media and entertainment companies prepare, build, train, and deploy high quality ML models at lower cost and at scale.

Learning Objectives:
*Discover challenges in the media and entertainment industry and how ML can address key use cases, such as churn prediction and personalized recommendations
*Learn how SageMaker can help media and entertainment companies prepare, build, train, and deploy high quality ML models
*Walk through a demo to understand how to use SageMaker to build a personalized music playlist

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/media-entertainment/ 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