Beginner

Introduction to Adobe Experience Platform AI

Adobe Experience Platform (AEP) is an enterprise-grade data and AI platform that unifies customer data, enables real-time profiles, and powers AI-driven marketing decisions across every Adobe product.

The Adobe AI Ecosystem

Adobe's AI capabilities are embedded across its entire product suite, from creative tools to marketing analytics. At the center is Adobe Sensei, the AI and machine learning framework that powers intelligent features across Creative Cloud, Document Cloud, and Experience Cloud.

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Key Insight: Adobe Experience Platform is the data foundation. Adobe Sensei is the AI engine. Together, they enable Customer AI, Attribution AI, and Content Intelligence - the three pillars of Adobe's marketing AI strategy.

Adobe Experience Platform Architecture

Layer Component Function
Data Ingestion Sources, Connectors, Streaming API Collects data from websites, apps, CRM, POS, and third-party sources
Data Lake Experience Data Model (XDM) Stores and normalizes all customer data using standardized schemas
Real-Time Profile Identity Service, Merge Policies Unifies cross-device, cross-channel identity into a single customer view
AI Services Customer AI, Attribution AI, Content AI Generates predictions, scores, and insights from unified data
Activation Destinations, Journey Optimizer, Target Delivers personalized experiences across channels in real time

Key AI Capabilities

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Adobe Sensei

The AI and ML framework powering intelligent features across all Adobe products - from auto-tagging images to predicting customer behavior.

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Customer AI

Generates propensity scores predicting customer actions like purchase, churn, or conversion - enabling proactive marketing strategies.

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Attribution AI

Algorithmic multi-touch attribution that measures the true impact of each marketing touchpoint across the customer journey.

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Content Intelligence

AI-powered content tagging, smart cropping, color extraction, and automated personalization of digital assets at scale.

What This Course Covers

Over the next five lessons, you will explore:

  1. Adobe Sensei - The AI engine powering ML capabilities across the Adobe ecosystem
  2. Customer AI - Propensity scoring, churn prediction, and AI-driven audience segmentation
  3. Attribution AI - Multi-touch attribution modeling and channel impact analysis
  4. Content Intelligence - AI-powered asset management, tagging, and content personalization
  5. Implementation - Enterprise deployment, data pipelines, and integration best practices

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