Learn Experience Platform applications with AI Assistant

AI Assistant in Adobe Experience Platform is a conversational experience that you can use to accelerate your workflows in Adobe applications. AI Assistant responds to your submitted questions by querying a database and then translating data from the database into human readable answers. It’s important to note that the product context you are in will determine which products the AI Assistant will consider when returning information. For example, while you are in Adobe Experience Platform, you will get the best result asking questions specific to Adobe Experience Platform. If you want to ask questions about customer journey analytics, your results will be better if you first navigate to CGA within the UI before using AI Assistant. In this video, we are going to explore what AI Assistant can provide in the areas of product knowledge. Product knowledge refers to concepts and topics grounded in experience-led documentation. Product knowledge questions can be further specified into the following subgroups, pointed learning, open discovery, and troubleshooting. With that in mind, let’s get started. If you are not sure what the AI Assistant can do, why not ask it that? Let’s ask, what can the AI Assistant do? As you can see in the response, AI Assistant can guide you with learning concepts and continuing workflows to help ramp up your skills and knowledge, troubleshooting, learn how to debug basic errors that you might encounter, sandbox hygiene, leverage those capabilities to keep your data optimized, value analysis helps you find your most used data objects. Oh yeah, you can search too. You can find information on your audiences, datasets, destinations, schemas, and sources. Be sure to check out the related suggestions at the end of the responses as well. These often can help guide you to great follow-up questions or help inspire you to think through what to ask next. If you are still stuck and not sure what to ask, click on the lightbulb icon to enter the discoverability view. On this view, you will find even more suggested questions that are broken out into categories like operational insights for audiences, datasets, and more. Also there are categories for more product knowledge questions specific to pointed learning and troubleshooting. At the end of the responses, make sure you are checking out the sources of the response. You can show the sources, see the inline citations, and even click on the links to read even more on the topic of interest. But wait, there’s still more to see. Let’s take a look at some of my favorite bonus tips or features that I rely on when using AI Assistant. What’s new? I like to ask what’s new in AEP to see a highlight of the most recent updates and features. This can help you stay current with the evolution of the Adobe Experience platform. Ask for steps. Help AI Assistant help you by being as specific as possible when crafting your questions. Instead of just asking how do I create an audience, ask what are the steps to create an audience. This will provide a set of instructions for you to follow and accomplish the task. Ask anyway. Sometimes we ask AI Assistant questions that it flags as out of scope and returns a message that informs you of this and offers some suggestions on adjusting your question. But you can leverage the ask anyway suggested prompt to bypass the out of scope message and try your question anyway. Sometimes you might land on answers that you are looking for, but be sure to double check the sources used in the answers. Your mileage may vary, but it’s worth a shot. Hopefully you now have a better understanding of how to use AI Assistant within Adobe Experience platform to expand your product knowledge. What are you going to ask Adobe AI Assistant?