Broadcast Date: June 19, 2020

Level: 300

As consumers demand online engagement increases, businesses of all sizes are struggling to meet their users' expectations of personalized recommendations in online streaming content, online shopping, and digital media libraries of books, articles, music, and podcasts. Amazon Personalize enables you to add a powerful machine learning based personalized recommendation engine into your platform in just a few clicks to generate highly personalized recommendations for all of users within days. In this tech talk, we’ll share how retailers, media, and entertainment providers can learn from the over 20-years of personalization experience from Additionally, we’ll show how, with no prior machine learning experience, you can start creating A/B tests to see the impact of Amazon Personalize on increasing user engagement with your recommended products and content.

Learning Objectives

  • Learn how you can improve your engagement on recommended products
  • Learn how to use machine learning to improve your similar items recommendations
  • Learn how to you can use personalized ranking to address business priorities

Who Should Attend?

Developers, directors of engineering, Data scientist, VP of Product Management, Product Managers, VP of Marketing, Director of Marketing, Director of Product Management


  • Luis Lopez Soria, Solutions Architect, AWS

Learn More

To learn more about the services featured in this talk, please visit:

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