Learn what you can do with AI Assistant in Adobe Experience Platform-based applications like Real-Time Customer Data Platform, Journey Optimizer, and Customer Journey Analytics. For more information, please visit the AI Assistant documentation.
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.
These resources will help you get set up with AI Assistant and learn its basic features.
Learn how to set up access and permissions for AI Assistant within Adobe Experience Platform.
Validate responses from AI Assistant
Learn how to verify and validate the responses that AI Assistant in Adobe Experience Platform provides.
Use the discoverability panel in AI Assistant
Learn how to use discoverability panel in AI Assistant.
Security overview of AI Assistant
This is an overview of the security features for the AI Assistant based on the security fact sheet.
The AI Assistant is a useful tool to learn new products or to get quick answers on familiar products.
Use AI Assistant to reduce onboarding time
Learn how to use AI Assistant to quickly ramp up on new features and reduce onboarding time.
There are many other use cases where AI Assistant can help you to manage your Platform account or improve your marketing tactics.
Get operational insights with AI Assistant
Learn how to use AI Assistant to uncover operational insights about business objects such as audiences, datasets, schemas, destinations, and journeys in Adobe Experience Platform
AI Assistant - Audience clean-up use case
Learn how to identify unused audiences with AI Assistant so you can delete them and make your marketing operations more efficient.
Impact analysis with AI Assistant
In this video we will look at how AI Assistant within Adobe Experience Platform can help you be more effective with impact analysis. Changes to shared objects like attributes and audiences can disrupt workflows for other teams, complicating processes, and risk important marketing efforts.