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Comprehensive Technical Tutorial for AEP
  • Comprehensive Technical Tutorial for Adobe Experience Platform
    • Architecture
    • Video Overview
  • 0 - Getting started
    • 0.0 Which environment do I use?
    • (Deprecated) Install the Chrome extension for the Experience League documentation
    • 0.1 Use Demo System Next to setup your Adobe Experience Platform Data Collection client property
    • 0.2 Create your Datastream
    • 0.3 Set up the website
    • 0.4 Set up the mobile app
    • 0.5 Ingest Data to AEP through the Website
    • 0.6 Ingest Data to AEP through the Mobile App
    • 0.7 Visualize your own Real-time Customer Profile - UI
    • 0.8 See your Real-time Customer Profile in action in the Call Center
    • 0.9 Set up and use the AEP API to visualize your Real-Time Customer Profile
    • 0.10 Install the Experience Platform Debugger Extension
    • 0.11 What if I want to demonstrate basic AEP concepts directly on a live website?
  • 1 - Adobe Experience Platform Data Collection and the Web SDK extension
    • 1.1 Understanding Adobe Experience Platform Data Collection
    • 1.2 Edge Network, Datastreams and Server Side Data Collection
    • 1.3 Introduction to Adobe Experience Platform Data Collection
    • 1.4 Client-side Web Data Collection
    • 1.5 Implement Adobe Analytics and Adobe Audience Manager
    • 1.6 Implement Adobe Target
    • 1.7 XDM Schema requirements in Adobe Experience Platform
    • Summary and Benefits
  • 2 - Data Ingestion
    • 2.1 Explore the Website
    • 2.2 Configure Schemas and Set Identifiers
    • 2.3 Configure Datasets
    • 2.4 Data Ingestion from Offline Sources
    • 2.5 Data Landing Zone
    • Summary and Benefits
  • 3 - Real-time Customer Profile
    • 3.1 Visit the website
    • 3.2 Visualize your own real-time customer profile - UI
    • 3.3 Visualize your own real-time customer profile - API
    • 3.4 Create a segment - UI
    • 3.5 Create a segment - API
    • 3.6 See your Real-time Customer Profile in action in the Call Center
    • Summary and benefits
  • 4 - Query Service
    • 4.0 Prerequisites
    • 4.1 Getting Started
    • 4.2 Using the Query Service
    • 4.3 Queries, queries, queries... and churn analysis
    • 4.4 Generate a dataset from a query
    • 4.5 Query Service and Power BI
    • 4.6 Query Service and Tableau
    • 4.7 Query Service API
    • Summary and benefits
  • 5 - Intelligent Services
    • 5.1 Customer AI - Data Preparation (Ingest)
    • 5.2 Customer AI - Create a New Instance (Configure)
    • 5.3 Customer AI - Scoring Dashboard and Segmentation (Predict & Take Action)
  • 6 - Real-time CDP - Build a segment and take action
    • 6.1 Create a segment
    • 6.2 Review how to configure DV360 Destination using Destinations
    • 6.3 Take Action: send your segment to DV360
    • 6.4 Take Action: send your segment to an S3-destination
    • 6.5 Take Action: send your segment to Adobe Target
    • 6.6 External Audiences
    • 6.7 Destinations SDK
    • Summary and benefits
  • 7 - Adobe Journey Optimizer: Orchestration
    • 7.1 Create your event
    • 7.2 Create your journey and email message
    • 7.3 Update your Data Collection property and test your journey
    • Summary and benefits
  • 8 - Adobe Journey Optimizer: External data sources and custom actions
    • 8.1 Define an event
    • 8.2 Define an external data source
    • 8.3 Define a custom action
    • 8.4 Create your journey and messages
    • 8.5 Trigger your journey
    • Summary and benefits
  • 9 - Adobe Journey Optimizer: Offer Decisioning
    • 9.1 Offer Decisioning 101
    • 9.2 Configure your offers and decision
    • 9.3 Prepare your Data Collection Client property and Web SDK setup for Offer Decisioning
    • 9.4 Combine Adobe Target and Offer Decisioning
    • 9.5 Use your decision in an email
    • 9.6 Test your decision using the API
    • Summary and benefits
  • 10 - Adobe Journey Optimizer: Event-based Journeys
    • 10.1 Configure an event-based journey - Order Confirmation
    • 10.2 Configure a batch-based newsletter journey
    • 10.3 Apply personalization in an email message
    • 10.4 Setup and use push notifications
    • 10.5 Create a business event journey
    • Summary and benefits
  • 11 - Customer Journey Analytics - Build a dashboard using Analysis Workspace on top of Adobe Experie
    • 11.1 Customer Journey Analytics 101
    • 11.2 Connect Adobe Experience Platform Data Sets in Customer Journey Analytics
    • 11.3 Create a Data View
    • 11.4 Data Preparation in Customer Journey Analytics
    • 11.5 Visualization using Customer Journey Analytics
    • Summary and benefits
  • 12 - Ingest & Analyze Google Analytics data in Adobe Experience Platform with the BigQuery Source Co
    • 12.1 Create your Google Cloud Platform Account
    • 12.2 Create your first query in BigQuery
    • 12.3 Connect GCP & BigQuery to Adobe Experience Platform
    • 12.4 Load data from BigQuery into Adobe Experience Platform
    • 12.5 Analyze Google Analytics Data using Customer Journey Analytics
    • Summary and benefits
  • 13 - Real-Time CDP: Segment Activation to Microsoft Azure Event Hub
    • 13.1 Configure your Microsoft Azure EventHub environment
    • 13.2 Configure your Azure Event Hub Destination in Adobe Experience Platform
    • 13.3 Create a segment
    • 13.4 Activate segment
    • 13.5 Create your Microsoft Azure Project
    • 13.6 End-to-end scenario
    • Summary and benefits
  • 14 - Real-Time CDP Connections: Event Forwarding
    • 14.1 Create a Data Collection Event Forwarding property
    • 14.2 Update your Datastream to make data available to your Data Collection Event Forwarding property
    • 14.3 Create and configure a custom webhook
    • 14.4 Create and configure a Google Cloud Function
    • 14.5 Forward events towards the AWS ecosystem
    • Summary and benefits
  • 15 - Stream data from Apache Kafka into Adobe Experience Platform
    • 15.1 Introduction to Apache Kafka
    • 15.2 Install and configure your Kafka cluster
    • 15.3 Configure HTTP API Streaming endpoint in Adobe Experience Platform
    • 15.4 Install and configure Kafka Connect and the Adobe Experience Platform Sink Connector
    • Summary and benefits
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On this page
  • Learning Objectives
  • Prerequisites
  • Architecture Overview
  • Sandbox to use
  • Exercises

5 - Intelligent Services

Intelligent Services

PreviousSummary and benefitsNext5.1 Customer AI - Data Preparation (Ingest)

Last updated 2 years ago

Authors: Diptiman Badajena, Wouter Van Geluwe

In this module, you'll learn how to setup, configure and use Adobe Experience Platform Intelligent Services.

Learning Objectives

  • Become familiar with Adobe Experience Platform

  • Configure Schema / Dataset for use with Intelligent Services

  • Create a new Customer AI instance

  • Scoring dashboard and segmentation

Prerequisites

  • Access to Adobe Experience Platform: https://experience.adobe.com/platform

This tutorial was created to facilitate a particular workshop format. It uses specific systems and accounts to which you might not have access. Even without access, we think you can still learn a lot by reading through this very detailed content. If you're a participant in one of the workshops and need your access credentials, please contact spphelp@adobe.com, who will provide you with the required information.

Architecture Overview

Have a look at the below architecture, which highlights the components that will be discussed and used in this module.

Sandbox to use

Kindly refer to Exercise 0.0 for instructions on how to find your Sandbox ID and other identifying values.

Exercises

5.1 Customer AI - Data Preparation (Ingest)

Customer data is ingested and transformed with the Experience Data Model (XDM) on Adobe Experience Platform. Specifically, all datasets that are used in Intelligent Services must conform to the Consumer ExperienceEvent (CEE) XDM schema.

5.2 Customer AI - Create a New Instance (Configure)

The marketing analyst configures the desired predictions by specifying business rules and identifying relevant data. After configuring the model, schedule executions and review scores.

5.3 Customer AI - Scoring Dashboard and Segmentation (Predict & Take Action)

After the models have finished training and scoring, the scores are written back into Platform. You can decide what actions to take with the predictions, such as defining segments, building custom dashboards etc.

Thank you for investing your time in learning all there is to know about Adobe Experience Platform. If you have questions, want to share general feedback of have suggestions on future content, please contact the Solution Partner Portal, by sending an email to spphelp@adobe.com.

Architecture Overview