Amazon Personalize is an AWS service that helps developers quickly build and deploy a custom recommendation engine with real-time personalization and user segmentation1. It uses machine learning (ML) to analyze customer data and provide relevant recommendations based on their preferences, behavior, and context.Amazon Personalize can be used for various use cases such as optimizing recommendations, targeting customers more accurately, maximizing the value of unstructured text, and promoting items using business rules1.

The other options are not suitable for providing product recommendations based on customer data. Amazon Polly is a service that converts text into lifelike speech. Amazon Comprehend is a service that uses natural language processing (NLP) toextract insights from text and documents. Amazon Rekognition is a service that uses computer vision (CV) to analyze images and videos for faces, objects, scenes, and activities.

1: Cloud Products - Amazon Web Services (AWS)

2: Recommender System – Amazon Personalize – Amazon Web Services

3: Top 25 AWS Services List 2023 - GeeksforGeeks

4: AWS to Azure services comparison - Azure Architecture Center

5: The 25+ Best AWS Cost Optimization Tools (Updated 2023) - CloudZero

6: Amazon Polly – Text-to-Speech Service - AWS

7: Natural Language Processing - Amazon Comprehend - AWS

8: Image and Video Analysis - Amazon Rekognition - AWS