Artificial Intelligence

Anna Grüebler

Author: Anna Grüebler

Workflow Diagram: 1. Import your user, item, and interaction data into Amazon Personalize. 2. Train an Amazon Personalize “Top pics for you” recommender. 3. Get the top recommended movies for each user. 4. Use a prompt template, the recommended movies, and the user demographics to generate the model prompt. 5. Use Amazon Bedrock LLMs to generate personalized outbound communication with the prompt. 6. Share the personalize outbound communication with each of your users.

Generate user-personalized communication with Amazon Personalize and Amazon Bedrock

In this post, we demonstrate how to use Amazon Personalize and Amazon Bedrock to generate personalized outreach emails for individual users using a video-on-demand use case. This concept can be applied to other domains, such as compelling customer experiences for ecommerce and digital marketing use cases.