Documentation Experience Platform AI Assistant in Adobe Experience Platform Guide

AI Assistant in Adobe Experience Platform product documentation

Last update: Wed Nov 20 2024 00:00:00 GMT+0000 (Coordinated Universal Time)

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AI Assistant in Adobe Experience Platform is a conversational tool that you can use to accelerate your workflows with Experience Platform applications and services. Use AI Assistant to boost your overall productivity, amplify your understanding of product knowledge and operational insights, as well as gather recommendations relevant to your queries and business use cases.

AI Assistant supports Experience Platform, Real-Time Customer Data Platform, Adobe Journey Optimizer and Customer Journey Analytics.

Get started

Get started by reading the material in the links below to familiarize yourself with the concepts and capabilities of AI Assistant.

Understand your data objects
Retrieve operational insights pertaining to your data objects for a better view on their statuses, usage, and linage impact.

Enhance your learning
Discover, troubleshoot, and amplify your understanding of product knowledge without interrupting your workflows.

Apply permissions based on your usage
Grant and revoke access permissions depending on the roles of your team members.

New features

Get a glimpse of the newest enhancements in AI Assistant, including capabilities currently in the Alpha or Beta stages.

Monitor significant changes

Monitor significant changes and forecast audiences

You can use AI Assistant to monitor significant changes and provide growth forecasts for your audience and dataset sizes. You can then use this information to ensure the integrity of your audience data and offer forward-looking projections to support data-informed decision-making.

Estimate audience size and propensity

You can use AI Assistant’s natural language estimation capabilities to estimate audience sizes and predict audience propensities, giving you easier access to insights on your audiences.

XDM field discovery

Discover XDM fields for audience creation

You can use AI Assistant to help your discover of Experience Data Model (XDM) fields that you can then use to create target audiences within Experience Platform.

Video library

Refer to the videos below to further amplify your knowledge on AI Assistant capabilities and use cases:

Get to know AI Assistant

Watch the following video for an overview of AI Assistant.

https://video.tv.adobe.com/v/3429845?learn=on

Transcript

Introducing AI assistant, a natural language interface built into experience platform designed to enhance productivity, expand product mastery, and help users efficiently navigate enterprise data objects. But what exactly can I assistant help with? It can quickly share product knowledge, helping users learn concepts and troubleshoot, and it can provide operational insights to assist with lifecycle management, impact and value analysis. All product knowledge answers are verifiable and cited, linking to product documentation.

The suggested prompts make it easy for me to continue the conversation to get an overview of capabilities. I can head over to the discoverability panel where they are clearly outlined. Now that I know what I assistant can help with, I’ll use it to help me clean up my environment. Let’s figure out which of my audiences have never been used in journeys. Wow, that was so easy. Before, I would have had to look through all of my journey definitions to identify used audiences, and then find the remaining audiences that were not used. It would have taken me hours and this took seconds to get a list. I can see how my question was interpreted to ensure no misunderstandings. Navigate to the audience page. Review the step by step process that generated the answer, and even see the SQL that ran behind the scenes. This really helps me trust the results. Before I consider getting rid of some of the unused audiences I just uncovered. I want to see if they’re being used by other audiences. Oh well, it looks like three of them are. I’ll be sure not to delete those.

I am interested to find out what attributes are used in the in segment audience. Isn’t it nice to have all the information at your fingertips? Next, I’ll identify unused journeys. It makes it easy that I can navigate directly to journey. Optimize from the response. Last, on my hygiene journey, I’ll ask AI assistant. Best practices for deleting a schema AI assistant gives me all the information I need, including contextualizing the information for my specific sandbox.

I have learned so much from AI assistant, and I have a rich chat history that I can go back to and visit. AI assistant truly is a shortcut for getting value out of experience. Platform.

Get access to AI Assistant

Watch the following video to learn how to configure access to AI Assistant for your organizations and users.

https://video.tv.adobe.com/v/3436470/?learn=on

Use AI Assistant to de-clutter your audiences

Watch the following video to learn how to use AI Assistant to de-clutter your audience and optimize your marketing operations.

https://video.tv.adobe.com/v/3435532?learn=on

AI Assistant use case library

Blog content

Read the following for AI Assistant use case examples:

Additional video content

Watch the following videos for additional AI Assistant use case examples:

Additional resources

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Read the AI Assistant security fact sheet

For more information about AI Assistant, read the security fact sheet for AI Assistant in Adobe Experience Platform.

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Browse the links below to further your understanding of AI Assistant use cases, capabilities, and much more.

Real-Time Customer Data Platform
Documentation - UI guide - Access AI Assistant - Privacy, security, and governance - FAQ

Adobe Journey Optimizer
Documentation

Customer Journey Analytics
Documentation

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