AI Assistant in Adobe Experience Platform

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.

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Transcript

AI Assistant and Adobe Experience Platform is a conversational, generative AI tool that redefines how customers work in Adobe Experience Cloud applications, such as Adobe Realtime Customer Data Platform, Adobe Customer Journey Analytics, and Adobe Journey Optimizer. A key capability of AI Assistant is being able to uncover operational insights. Operational insights refer to answers AI Assistant generates about the metadata of a customer’s objects, including counts, lookups, and lineage impact, without looking at any of the end customer or account data within a customer’s sandbox. This video is going to give you an overview of what operational insights within AI Assistant and Adobe Experience Platform can do for you. Some example questions to ask AI Assistant to showcase operational insights are, how many data sets do I have? How many XDM attributes have never been used? Which audiences are used in Journey X? Show me audiences that are duplicated. You can also find additional supported questions in Experience League and in the suggested prompts in the response from AI Assistant itself. The key use cases that we are going to look at in this video are data management, audience management, and journey management. So let’s start with data management. AI Assistance helps users uncover the lineage between schemas and data sets and gain a deeper understanding of how experience data model fields are utilized. Users have reported saving hours each month when they use AI Assistant to keep track of data in their platform. Let’s ask AI Assistant how many data sets have been ingested using the same schema. Please note you can also take advantage of Autocomplete with an AI Assistant to help you refine and tailor your query. Once our response is returned, remember that you can always expand the table, download it as a CSV. Also make sure you go and look at the sources. You can view the query, the behind the scenes SQL query that was running against the Knowledge Graph, to find exactly the answers that it brought back to you. Also be sure to check out the related suggestions. You never know what nugget you may uncover there. Next up is audience management. With AI Assistant, users can gain insights into where their audiences are being used and maintain data hygiene to ensure the accuracy and relevance of their audience inventory. Users have reported saving 12 hours each month that they use AI Assistant to manage their audience inventory. Let’s ask AI Assistant, show me duplicate audiences based on definition. Now that we have our response, you can see that AI Assistant again has brought back the duplicate and again you can view the query, look at the suggestion, make sure you check out the sources, and also make sure you can look at Autocomplete to help you fill out those queries. Finally, let’s take a look at journey management. AI Assistant empowers users to track the number of active journeys, identify the audiences used within each journey, and maintain journey hygiene. Customers can expect to save hours when using AI Assistant to manage their journeys. Now let’s ask AI Assistant what audiences are activated to journey x. What is journey x? I’m not sure either, but with Autocomplete it’ll help us find the names of those journeys even if we don’t know what they are ahead of time. So here we go, which audiences are activated to journey? Right here provides a suggestion and once you click on this provide a drop down of the journeys here. As always be sure to check out the sources and related suggestions. Now you should have a better understanding of how to use the Operational Insights for AI Assistant within Adobe Experience Platform to help you be more efficient when working with Adobe Experience Platform. What are you going to ask AI Assistant?