By understanding nuances of individual preferences and context, generative AI can dynamically create personalized content like messaging, images, videos, and digital experiences. This level of personalization heightens customer engagement, optimizes marketing campaigns, and boosts revenue across the entire customer lifecycle.

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  • Predictive Segmentation Using Third-Party Data with AWS Clean…

    This Guidance demonstrates how AWS services can help you automate the collection of customer first-party and third-party data, enabling collaboration without sharing raw data, and generate predictive segments using machine learning.

  • Near Real-Time Personalized Recommendations on AWS

    This Guidance helps businesses build a real-time recommendation pipeline using Amazon Personalize. The pipeline creates personalized recommendations based on a user’s profile and behavior to improve the customer experience.

  • Predictive Scores for Member Retention on AWS

    This guidance solution demonstrates how nonprofits associations and membership organizations can proactively understand which members are likely to allow their membership to lapse and the reasons for the same, using AWS Data Lake and artificial intelligence/machine learning (AI/ML) services.

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