Intelligence & Personalization

To better optimize content, recommend products, build segments, and drive marketing decisions—such as next best offer and next best action—enterprises must analyze and derive insights from customer interactions. Intelligence & Personalization solutions on AWS use artificial intelligence and machine learning (AI/ML) in addition to generative AI for predictive personalization. By using these solutions, enterprises can ultimately increase customer engagement and conversion.

AWS Services
AWS Solutions
Partner Solutions
Guidance

AWS Services

Purpose-built cloud products

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AWS Solutions

Ready-to-deploy solutions assembling AWS Services, code, and configurations

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Partner Solutions

Software, SaaS, or managed services from AWS Partners

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  • Pega Cloud

    Pega Cloud Services is the fully-managed cloud deployment choice for Pega Infinity™. Clients can deploy their cloud globally on secured infrastructure designed to meet rigorous security and compliance requirements.

  • Domo App

    Domo lets you combine data from AWS with finance and operations data to understand AWS's business impact. With actionable insights in your back pocket, you can make faster, better-informed decisions that boost your bottom line. - Build your dream dashboard: Assemble, organize, and visualize AWS data

  • CleverTap -Drive Customer Lifetime Value Across Industries

    CleverTap is the only platform that uses Artificial Intelligence and Machine Learning to personalize the customer experience using real-time behavioral data. These precise predictive models result in timely, relevant engagement opportunities based on each user’s exact needs.

  • ContentSquare - Digital Analytics Platform

    ContentSquare is a digital experience insights platform that helps businesses understand how and why users are interacting with their app, mobile and web sites. We compute billions of touch and mouse movements, and transform this knowledge into profitable actions that increase engagement.

  • Braze

    Braze is architected for speed, breadth, and secure ecosystem interoperability, enabling travel and hospitality brands to orchestrate live marketing and operational messaging programs that incorporate consumer, enterprise, and third-party data.
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Guidance

Prescriptive architectural diagrams, sample code, and technical content

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  • Integrating a Custom Foundation Model with Advertising and Marketing ISVs on AWS

    This Guidance shows how independent software vendors (ISVs) across the advertising and marketing technology industry can increase their customer engagement by integrating their customers’ large language model (LLM) within the ISV’s generative artificial intelligence (AI) application.

  • Creating Dynamic Content with Brand Intelligence on AWS

    This Guidance demonstrates how to design an intelligent brand system that is capable of evaluating social media posts, so you can measure brand performance, create dynamic content, and protect your brand.

  • Predicting B2B Churn on AWS

    This Guidance uses machine learning (ML) to help you build a churn prediction model using structured and unstructured data.

  • 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.

  • Connected Customer Journey Hub on AWS

    This Guidance helps to create a single source of truth of customer touch points to automatically understand and extract customer linked information from siloed, raw, and disparate data.

  • Subscriber Churn Prediction and Retention on AWS

    This Guidance leverages Machine Learning (ML) techniques to build churn prediction models that identify subscribers who are high risk to churn and their key drivers.

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