Using Experience Platform services, customers can structure, label, and enhance incoming data. This data is then stored in the Experience Platform data lake or profile service for analysis and use by downstream services and applications, including: • Adobe Customer Journey Analytics (CJA), Adobe Journey Optimizer (AJO), and Real-time Customer Data Platform (RT CDP), which are applications built on top of Experience Platform • Adobe Intelligent Services, including Customer AI, Attribution AI, and Content and Commerce AI, that leverage the power of artificial intelligence and machine learning in customer experience use cases • Adobe Experience Cloud applications and capabilities, such as Adobe Analytics, Adobe Target, Adobe Campaign, and Adobe Experience Manager • Customer and partner applications User Interactions UI/Admin Source Configuration Enterprise Data Experience Data Ingestion Experience Sources Edge Methods Platform Client Websites/ Web/Mobile Edge Location Stream Data Insight Real-Time Mobile Apps SDK Capabiities Customer Profile Extendable CMS Data Collection Customer Apps End Points Query Service – Profiles and Other Stream BI Connectors Enterprise Sources API Ingest Platform Data Collection Batch Data Science Identity Graph Segmentation Adobe Workspace Applications Batch API Streaming Connectors Intelligent Batch Connectors Batch File Storage Services Batch API Ingest Location (FTP, Azure Blob) Pipeline Connectors Access Control and Data Governance ETL Tool Connections Experience Access Control Data Model and Data Data Lake Governance Adobe AEP Applications Applications Channels Customer and (Apps Built and Data Partner Apps on Top of Destinations AEP) Figure 1: Adobe Experience Platform solution architecture 4