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Amazon
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Generate user-personalized communication with Amazon Personalize and Amazon Bedrock
- Businesses are utilizing AI and generative models to enhance productivity and provide personalized outbound communication.
- Amazon Personalize and Amazon Bedrock can be used for generating user-personalized recommendations and communication.
- Amazon Personalize helps create personalized recommendations for customers across various platforms.
- Amazon Bedrock offers foundational models and features for building generative AI applications securely.
- The process involves importing data into Amazon Personalize, training a recommender, and extracting recommendations.
- Amazon Bedrock is used to combine user demographic data with recommended movies for personalized outreach.
- A workflow diagram shows how Amazon Personalize and Amazon Bedrock collaborate for personalized outreach messages.
- Prerequisites include creating dataset groups, importing interaction and item data, and training a recommender.
- Amazon Personalize is used to get personal recommendations based on trained models and metadata columns.
- Amazon Bedrock is employed to generate personalized marketing emails with recommended movies and user demographics.
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