AI Assistant in Adobe Experience Platform

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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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Using AI Assistant product knowledge to reduce onboarding time.

What if you had a new team member that needed how to learn how to manage campaigns in Adobe Journey Optimizer? Now, they can get up to speed by asking AI Assistant questions about the features and functionality about Adobe Experience Platform, Real-Time CDP, Adobe Journey Optimizer, and Customer Journey Analytics, instead of just aimlessly going through the documentation or waiting on colleagues to help with specific task.

Let’s see what AI Assistant can help us discover to level up our product knowledge. Let’s ask, what is Adobe Journey Optimizer? AI Assistant provides us a detailed summary of AJO that we can go through quickly, and this response is grounded in Experience League documentation.

Pro tip, don’t forget to take a look at the sources when you are using AI Assistant to find relevant links to learn even more about your questions.

Now that we know a bit more about AJO and what it can do, let’s look at our next onboarding task.

How do I build a campaign in AJO? Again, AI Assistant provides a step-by-step guide to accomplish this task, and having that information in the browser makes it easy to go and try each step while keeping the response in view for reference.

Finally, how can I monitor my campaign in AJO? Once again, AI Assistant quickly returns the product knowledge that you need to complete your objectives.

Don’t forget to check out the related suggestions that AI Assistant returns at the end of the response each time to continue to expand your knowledge.

Once your team gets comfortable with using the AI Assistant during onboarding, AJO seamlessly integrates into their daily workflow, helping them discover new features, troubleshoot issues, and boost productivity well beyond the initial weeks. Ensure your team is armed with the knowledge that they need to start using AI Assistant today.

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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?