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Transcript

Hello, all. Thanks for joining. We will be getting started in the next couple of minutes.

Today’s session will be focused on unlocking the power of ÃÛ¶¹ÊÓƵ Gen Studio. We are going to wait just another minute for attendees to filter in, and then we’ll get started. In the meantime, we do have some icebreakers in the chat, so feel free to answer those just to kind of get us started.

And while we wait for attendees to filter in. And again, there is the icebreaker, set of questions in the chat. Feel free to answer those if you feel comfortable. But while we wait for everyone else to filter in, I just want to let you know that we do have several other sessions coming up this quarter that are open for you to attend as well. For those who are interested, I will put the links in the session chat.

At the links in the chat and the descriptions as well. So if any of those interest, you feel free to register and we’ll see you there.

And we’ll be having Berniece, speaking here in a moment when she goes off me and we can get started.

Hi, everyone. Thank you so much. Well, for helping me setting up the room, sharing the icebreakers and the information on the upcoming webinars that will be taking place during our Q4 of this year.

I will go ahead and just kick us off. I think we have a decent number of people who have, joined the room now. So we’ll just get started to make sure we’re not, running out of time. So hello, everyone. So thank you so much for joining this session today. So the main topic of discussion today will be unlocking the power of ÃÛ¶¹ÊÓƵ Gen Studio. Organizational readiness to address content supply chain challenges. Broad topic there has, you know, brought a lot of questions. Lately. So just for introductions. So my name is Bernice Ball. I am part of ÃÛ¶¹ÊÓƵ’s ultimate success organization. I am a customer success manager. And so in this organization, we really focus on supporting our customers through different types of activities and engagements, realize the most value out of their ÃÛ¶¹ÊÓƵ investments. So really making sure that you’re being successful, with your investments and aligning your strategies to the products you’ve invested in.

So I’m going to kick off our session today. So first and foremost, so thank you for your attendance. Thank you for carving out time in your busy schedules to be with us, to listening to this content. Just one note. So this session is meant to be, simply to listen in. However, we do have a chat that’s available. So please, if you have questions throughout the session, if you have any comments suggestions, please feel free to just drop them here or we’ll have some time at the end of the session dedicated to Q&A. So I’m hoping we’ll have some extra minutes where I can review those questions and address some of them. If we do not have time to review all those questions. We’ll make sure that we follow up on them whenever we’re sharing, the artifacts related to this session. So you will have access to this recording if you’ve registered, even if you were not able to attend in person.

Lastly, I wanted to add, a side note that at the end of the session. So right when I will review the Q&A pod, we will be sharing out a survey. So we really want to encourage you to answer those three very quick questions. The idea is to making sure that we hear your feedback on what you’ve learned today, what you were hoping to get, if this was useful for you. But this was also, going to help us to form the agenda for the future sessions that we’re already planning for FY 25. So making sure that the content that we’re developing and presenting to you is relevant for your needs. Okay. So we’re going to get started. I will turn off my camera so we can focus on our content with no distraction.

In. Let’s move on to our next slide. So I will walk you through our agenda for today and how we’re going to get organized. So we’ll level split on beginning with what is just to do by starting first with what is the business challenge that it solves. So you’ve heard a lot about content supply chain. So we want to make sure there is a good understanding on what it is and how it is critical in today’s demanding consumer market. So that will be our first part. Then we’ll look into ÃÛ¶¹ÊÓƵ Grants to you specifically. So this is this comprehensive suite of solutions that ÃÛ¶¹ÊÓƵ has developed over the years to solve those content supply chain challenges and showcase how Genie AI capabilities have been embedded throughout each of these solutions. And then lastly, in our third part, we’ll zoom in to focus on three studio products only and look at their specific Genie capabilities. So what they do since when they’ve been available or when they’ll be available, how leverage them and what is their business value? And then at the end we’ll do, some sort of wrap up. We’ll go over the main key takeaways that I want you to walk out with. And we’ll address, some questions or comments that you may have put in the chat.

So let’s get started. So our first part let’s talk about content supply chain. Kind of like giving you an overview and a definition on what it is. We’ve heard a lot about the critical importance of content supply chain acceleration. It’s been everywhere in the news and particularly in the marketing and creative area. This is an issue or a topic that is top of mind for all of our customers, and something that you’ve been hearing us talking about a lot as well. So content supply chain refers to the end to end process involved in the creation, management and distribution of content. So this encompasses everything from initial planning, ideation stages through drafting, editing, approval distribution and archival. So those key components can be summarized in this blue box that I’ve put here on the left side of the screen. And so your organization or your team or you as an individual may be involved in only one of those components. All of them or just a few. But the content supply chain involves content strategy, content architecture, content production, content delivery, and content tagging. It’s all of those different processes that are part of it. And so this is why it makes the content supply chain such a lengthy and complicated and intricate process for organization.

Now, why this is so important to talk about content supply chain? Well, we’ve all really talked about like personalization and personalization at scale and how this is so important to make sure that you’re creating content that is relevant, that is timely for your different audiences. So you can create the right content and they can engage with the products or services that you’re offering them. Then we have efficiency and speed because this is a world that’s moving very quickly. You need to make sure that you’re constantly providing content. Quality and consistency are key in organizations to make sure that what you’re producing is on brand and is respecting the legal, rules that you have set for yourself. Data driven decision making. This is making sure that the data that you’re analyzing around your competitor or on your productivity are aligned to your strategic decision making, to the key pillars that your organization is working towards. And finally, competitive advantage. Pretty self-explanatory, making sure that you’re ahead of your competitors, making sure that you can compete in this market. So when we think about this importance, we want to highlight that by adopting a comprehensive content supply chain approach, businesses can better meet the demands of their customers, streamline their operations, and drive greater efficiency and effectiveness in their content marketing efforts. So what this means is that you need to have a governance strategy that allows you to be organized across the different parts of your organization to address this content supply chain.

I’m sure a lot of you have already seen or are familiar with this slide that you’ve seen before. This is what we call the spaghetti slide. So here what do we want to explain to you. It’s basically broken content. Supply chain limits your ability to maximize the potential of your content. Jenny will help you create a lot more content. However, this content still needs to be managed, governed, approved, and analyzed so you can reach its full potential. So this is why a connected solution is actually critical. When you look at this slide, you see the different milestones all along your content supply chain process with planning and kickoff creative collaborations, stakeholder approval scope, production, publishing and delivery and analysis. But this is all intertwined. There’s different parts of the organization, involve different actors, different processes in place. And so this seems not like a linear process that has a very step by step workflow. And so this brings a lot of key challenges low adherence to standards, time consuming review and approval, regulatory legal, compliance, risk, inability to find and reuse assets, and limited insights on performance and ROI. Those are simply examples of one of the many key challenges that organizations may be facing. So we’re in a very competitive market that demands velocity not only in content creation, which is what Jennifer will help you with. It will help you create more content, but you also need to be able to, accelerate different types of variations to understand which content works the best. And you need to be able to innovate here. So when we think about this, this is when we make the connection between genii being embedded in different products to support creative and marketing teams creating more content, which is really important. But we need to have a solution to streamline content production. And so this way you can scale the benefits so that you are not only having more content, you know what to do with your content from a process from Z. So this highlights the necessity for organizations to lay the foundation where generative AI will be not only an incremental tool, but will help you drive the force of creative origination. It will help you automate tasks. It will help you augment the production of your content at scale. And so this is this idea that you need to perceive Genii as one of the many tools, but one of the essential tools that we’re seeing as the foundation to build a proper governance at organizations so they can get organized around their content supply chain.

So now that we’ve reviewed content supply chain, what it is, why this is critical, we want to present to you what is the chance to do Invision from an ÃÛ¶¹ÊÓƵ perspective. And so this is defined as the ÃÛ¶¹ÊÓƵ solution to support you with your content supply chain efforts. So in this section, we’ll break down how ÃÛ¶¹ÊÓƵ has progressively adopted and introduced JNI within its products to support your organizational readiness efforts to tackle all of those challenges related to content supply chain.

So when we think about, how do you tackle your content supply chain challenges, you need to think about those five pillars. And those five building blocks are almost like milestones or critical steps that you need to go through when you’re going through your content supply chain. And so Gen Studio has been built around those five main pillars to workflow and planning, delivery and activation, reporting and insights creation and production and asset management that sits at the core. And so we’re going to go over once you’ve understood those five building blocks, let’s look at where those products live, how they can help you during each of those critical steps.

On this slide, I want to show you, let’s keep those five building blocks. And let’s evaluate how Gene studio enables key use cases across the entire content supply chain. So if we’re thinking about the first one, which is usually where you start workflow and planning, those are like the top three key use cases, not the only ones, but some of the key use cases that ÃÛ¶¹ÊÓƵ has developed solutions to to enable. So you can enhance visibility to capacity projects and risks. You can streamline workflows, review and approvals. You can automate downstream processes such as storage and metadata tagging, for example. This is your first step. Then when we’re looking at creation in production, we have developed some products that have key capabilities, such as boosting creative production with Genii from concept to production scale asset variations. We’ve built services and APIs, reuse and localize content. We’ve approved assets and templates so you can gain time in your production scale. The production of grants, specific content, and making sure you are staying on brand.

Asset management you can easily find, share, and distribute assets across your organization to critically help you with collaboration, manage and governance assets to ensure brand and legal compliance. Automate asset tagging to reduce manual work. Author and assemble high impact model content in real time. Delivery and activation can connect with any delivery app for fast activation of your content into high impact experiences. Can also generate assets for activation with unlimited renditions for all channels and devices. Surface and activate assets faster in downstream apps with AI powered metadata tags. And lastly, the reporting and insights piece, which is critical. You can get real time, easy to access insights into content performance, get asset level insights to optimize engagement of your different audiences, and go deeper with attribute level insights to inform future creation and audience targeting. So you’re always a step ahead in your creation and delivery process.

So those are the main key use cases that Gen Studio has enabled throughout those five milestones.

Now that we’ve looked at some of these use cases, we wanted to showcase which gen AI capabilities have been embedded in these solutions to support those use cases. So this highlights the vision ÃÛ¶¹ÊÓƵ has for its products to promote a better user experience throughout the content supply chain journey. So again, we’re thinking about workflow and planning. Okay. Those use cases will be enabled via some Genii capabilities, such as they’re planning through AI generated campaign briefs, resource alignment, and streamlined content workflows. With AI assisted brand checks, creation and production can boost ideation, creation and scale production of quality on brand and commercially safe assets across teams and formats.

For asset management, you can activate content at scale with AI powered metadata and optimization of assets to discover and reuse intent based, winning content for delivery and activation. You can automate the creation of multiple content variations for experienced testing and delivery, and then for reporting and insights. You can enable intelligent, data driven decision making with automated insights. Those are some of the examples of the AI capabilities that ÃÛ¶¹ÊÓƵ has already developed. And there are live on some of our products. So we’ll dive into these later.

So now that we’ve talked about the way ÃÛ¶¹ÊÓƵ thought about the development of Gen Studio around those five pillars, the specific use cases in which Genii capability is to roll out, we want to show visually what we mean by Gen Studio solution. So just to you, as been built on top of ÃÛ¶¹ÊÓƵ Experience platform, which sits at the bottom of all of our solutions, it leverages different types of gen AI models. So you have the Firefly foundational models such as image vector design and video, but we also have third party models for copy.

Then when we think about the studio applications and interfaces, we’re talking about the different products that exist both. So some of them in the Digital Experience Cloud and some others in the creative Cloud. So we think about the work front and then Frame.io ÃÛ¶¹ÊÓƵ Express Experience Manager in the new product that was announced during ÃÛ¶¹ÊÓƵ Max in October, just Studio for Performance Marketing, which is one of the solutions that is part of the change to you set of solution. So we want to make sure that this is clarified when we talk about change to use solutions. This is all of those sets of applications and interfaces. And when we talk about studio for Performance marketing, this is one of the products that is part of this suite.

All right. So here we want to talk about the different AI components of Jim Studio that will transform the customer experience. So to become an experienced business what do you need to do. You need to focus first on delivering the right content to the right person or audience. And at the right time. To do this, you need to have those three things that you see in this triangle, and they must come together. So if you start at the left side with data, you need to have a good understanding of your customer in terms of profile and identity. Then you need to look at the content that you have assets, images, videos, articles and forms that need to be personalized for the specific individual or audience. And this needs to be managed as well, not only delivered or created and finally journeys. This is where both data and content at the base of your triangle come together for purpose, in context, and in any channel where your customers are interacting with your products or your services. So what does that mean? That you want to deliver one on one real time personalization to customers at scale? However, this is challenging to execute. This cannot be done manually, not even with thousands of employees. This is two time consuming and this is something that you need to constantly be doing. So at the heart of bringing these three essential pillars together, there is artificial intelligence, which has been developed for years now, and that is becoming more and more robust. So this is the solution that we have at ÃÛ¶¹ÊÓƵ to support the development of some of our products, to bring together those journeys.

All right. So I the capabilities throughout the customer experience, it is built on top of ÃÛ¶¹ÊÓƵ’s long history of putting AI in the hands of marketers. Obviously, this has accelerated over the past few years, recently with generative AI, but this is something ÃÛ¶¹ÊÓƵ has started for years back. So we’re developing capabilities, and there are three broad categories that you’re seeing here on the screen content generation assistant, workflows, measurement and insights. So first there is content generation. Under this category. There are things like creating assets, generating a copy whether it is for your website or it is for a blog. If you’re a writer or even something as simple as just an email, and then creating variants to deliver better experiences for audiences and for the different regions that you may be presenting. If your company is global, for example. And so your content needs to be different. Your language, your, your targeted some cultural considerations as well, based on where you are in the world. The second category is assisted workflows. So we’re thinking about this in the context of like how this natural language interface can help people across all different solutions. So for example you can see an assistant provides a lot of value if it can drive greater adoption with people needing to spend less time on mowing every single button to click on, or reading a manual several times. If you have a natural language interface that can expedite that experience and bring you the answers, then you can allow more people in who will be able to leverage the tool, the data. And so this is a huge win in terms of efficiency. And lastly for measurement and insights, you want to enable data driven decision making with next level content and customer insights. Making sure that you’re always on with what the customer is reacting with in terms of your content. So there is a couple of capabilities that have been already developed, such as assistance for customer journey analytics, intelligent captions or content analytics. We’ll dive into those a little bit later in the presentation when we’re doing our overview on the AI capabilities for each of the ÃÛ¶¹ÊÓƵ products.

So now that we’ve reviewed content supply chain challenges and we’ve reviewed what is the Gen Studio Vision from ÃÛ¶¹ÊÓƵ and how it is leveraging gen AI capabilities throughout the customer experience. We want to move forward and into our third section, which would be the longest one. And so in this section, we’re going to talk about only some of the ÃÛ¶¹ÊÓƵ products that are present in Gen Studio, ÃÛ¶¹ÊÓƵ Experience Manager, ÃÛ¶¹ÊÓƵ Work Front, and ÃÛ¶¹ÊÓƵ Experience Plus one.

So again, I wanted to bring this slide again to do a quick reminder.

We will be focusing only on those three highlighted in green today. Those three actually products are enabling some of the functionalities that we mentioned before. So content generation assisted workflows measurement and insights. So it will be a very good example for you to see how this gen AI capabilities are built throughout the customer experience to support you with your content supply chain challenges. I want to say just a quick note that we think that there’s a lot of questions around Gen Studio and based on the feedback that you will share today, we will probably, schedule future webinars. So maybe in Q1 of four, 25 or later round to address the Genie AI capabilities on the other products that you’re seeing here on the suite, specifically on Gen Studio for performance marketing, because this is a new product. And so there’s going to be a lot of questions from, new users as you guys start adopting this new solution. So more to come. But for today, let’s focus on our content on those three products only, as well as our questions.

Okay. So we’re going to start with ÃÛ¶¹ÊÓƵ Experience Manager, more commonly known as a. So when we think about the specific gen AI capabilities in Am, it allows you to bring content, experience and data together at scale to unlock what we call intent based predictive experiences. And so this can be broken down into three main categories that we’re seeing here on the screen. Better content creation through intelligence, accelerated activation of on brand content at scale, and optimized safe learning experiences. So let’s talk a little bit about each of those. So when we what we mean by better content creation through intelligence, it enhances the content creation by automating and optimizing various aspects of the process. So content creation through intelligence involves using AI to streamline workflows. For example, to reduce the manual effort and to ensure the content is tailored and relevant to the target audience for accelerating activation of on brand content at scale. Well, how do you do that? So you automate and you optimize the content creation and the distribution process. So this includes generating content variations that adhere to brand guidelines, personalizing content for different audience segments, and streamlining workflows to ensure there is a quick and efficient content deployment. Lastly, when we mention optimized self-learning experiences, Genii capabilities allow you to optimize self-learning experiences by personalize learning pathways, continuously updating materials, and creating realistic training simulations. For example, interactive and adaptive learning modules that adjust to the learner’s progress, providing real time feedback and addressing skill gaps effectively. We’ve received so many, comments or feedback from customers over the years about how we have so much content on ÃÛ¶¹ÊÓƵ Experience Sleep, for example, or during the trainings or the bootcamps that we’re providing to users. But there is a need for tailoring that content. Like what does that mean for my specific user in their industry? In this company, specifically for the type of role that they have and the type of permissions that they have in the system. And so general is really allowing to tailor this based on your needs, but also based on your progress, based on your skill set. So it’s making it really a good tool to learn more. And it’s making it more accessible to everyone.

All right. Now let’s dive in each of those specific JNI capabilities. So we’ll start with and sites so you can generate a sense variation for using a and sites. Those are set variations will be available in your am assets because this is your asset repository. But this is meant to be using a and sites. So you can achieve personalization at scale through the creation of audience specific content variations. So you can instantly produce high performing copy and image variations. You don’t need to have a prompt engineering experience, so that means that any of your user that has an A and licensing that’s using them is able to leverage this functionality today, no need to train them. It’s very self-explanatory and intuitive. Once you’ve created your content that specific to your audience, you want to check ideally how this is performing and so you can improve your conversion rates and maximize customer engagement through testing and optimization. So you can quickly test the generated content variations to identify performance gains using experimentation.

I will dive into this in the next slide. But basically it’s not stopping at the content creation step. It’s really testing how this is performing.

So experimentation powered by GDI for continuous optimization. Here on the left side of the screen I grabbed two screenshots. One of them is the control version at the top. The second one is the variation made from it at the bottom. As you can see at the bottom, we’ve changed the image. We decided to go for a different one. And we’ve also added, this, this little section that says we’re offering a promotion of 10% off today. Only you can put your email. And so this is one of those little prompts that really help you engage directly with your audience. Everybody loves a discount. So this variation has been known to perform better than the previous one. So this is the one they’re going to go with on their website. And so we can break down the capabilities and the benefits into four parts. You have content variation generation. So you instantly create copy and image variations for testing. It is super easy to set up. You don’t need to be a developer. You don’t need to leverage additional tools to run those tests. It’s all in a, it’s respecting your privacy. In the end, it’s delivering high performance. Your system is not going to get slower. And then finally you’re able to access out of the box reporting to gather insights and optimize your assets without the need to integrate with another tool that will perform this analysis for you. All you need is your instance. So this is a great.

Now let’s look into content credentials. This specific capability lives in an assets. So what do we mean content creation credentials worthy. So we call them like a nutrition label for digital content provides information on how an asset was created and by who it identifies. If the content was created or modified with JNI and the tools that have been used. So what does it do? It supports digital rights management and it displays the details of content credential manifest on any supported image. Imagine the time gained because what is always super challenging when there’s so much content created is understanding who created it, what was created, why was it even created in the first place, and how which tools were were leveraged? And finally, who’s the author? Who can I reach out to to get access to that asset, to understand what was their thought process, etc.? So overall, what this helps you with is improve your collaboration across your organization. It said some very strict governance rules and so it brings you peace of mind because you have all the information you need about every single asset. There is a study that has estimated around 52% lower risk in using non-compliant assets, because that is the main challenge. You don’t know if you were a allowed tool to utilize, for example, deny capabilities or certain tools to create an asset. And so here we have all of this information. You’re allowed to run your checks and to make sure that all of your content is on brand respecting legal in compliance, restrictions.

Still in and assets. Another functionality is AI powered captions for video. So with the power of AI video captions in dynamic media can be transcribed to support accessibility. It is fit for global use because it’s translating into 60 different languages. So it’s pretty robust. What does it do for you? Well, it definitely cuts the spin and the time that you will be spending transcribing videos and streamlines the video workflow, production. There is an estimate of like if you have an hour long video, for example, it takes around four hours to transcribe, transcribe or translate it and if you’re not doing this in-house, but let’s say you’re leveraging one of your creative agencies that will do this work for you. This can be charged between 1 and $15 to transcribe per minute. So we’ve I said you can just take your video, have it transcribe two captions on the fly. It’s really cutting your time, either transcribing videos or it’s reducing the spend that you would allocate to agencies. And you can relocate that for another purpose. But really overall optimizing your overall, workflow production.

Now in alien forms, we have a junior AI assistant. So what does it do? There’s three main things that we will help you with. So first of all it accelerates the form authoring using simple prompts with the junior assistant. So it improves your time to market by empowering all form authors to create forms faster and simpler. You optimize your forms on the fly with gen AI recommendations, so it boosts the form conversion by creating optimized, tailored forms that simplify completion for end users. Finally, you can enhance customer experience with conversational forms, transform the form filling experience to an intent based chatbot conversation so the main business benefits overall its content velocity again, faster time to market and increase personalization as the way that you’re putting the form and encouraging participants customers that are going on your website to fill out those forms so you can gather data from them.

All right. So that was, ÃÛ¶¹ÊÓƵ Experience Manager, as you know, on the on the end platform, there’s assets, there’s forms their side. So there’s like AI capabilities in those three components.

Now we’re going to move on to the second product. And so this is ÃÛ¶¹ÊÓƵ work front ÃÛ¶¹ÊÓƵ works on you may or may not be familiar with this product, but this is really the product that’s helping you organize your work management processes. That’s really putting together your workflows as an organization to ensuring that your, really setting up yourself for success during the planning and execution phase of your content supply chain.

Okay, so there is an AI assistant that has been, developed within ÃÛ¶¹ÊÓƵ work front. So ÃÛ¶¹ÊÓƵ Workflows, what does it do like 360 view Revolution sizes. Your business processes work front is scalable secure. It’s a reliable work management solution that transforms the way people work. And so it’s overall like impacting the marketing function as a business. When we think about general business impact from ÃÛ¶¹ÊÓƵ works on, it enhances visibility, control, collaboration across all levels of an organization. It also eliminates operational inefficiencies and unifies disconnected system.

How can you further improve the work management by leveraging AI well, work from provides an easier planning and execution of work across the business through AI. This is a scalable, secure, reliable work management solution that unlocks more efficiency. For example, enables teams to manage workflows that adapt to rapid innovation across even the largest organization and the global workforce. Overall. Now in work, what you do mainly is that you unify all of the workflows that exist in your organization across all of the different teams and different individuals. Originally, the first AI assistant that was released and created this year was introduced in ÃÛ¶¹ÊÓƵ Experience Platform, which we’ll go over in a minute. So you know the B experience platform. The AI assistant delivers supports across data analytics and sometimes also as what you would call tech support. Workflow has also introduced its own AI assistant who will help you automate tasks. Couple of them to give you an example, or generating campaign briefs or improving the approval process in your review and approval process. That’s very tedious, and offering broader assistance using simple English language prompts. Here again, and no need to train your individual. It’s very self-explanatory. It’s very intuitive. Your users can start using the AI assistant today.

On this slide, I wanted to make sure that we highlighted some of the prerequisites that you need to check before using the AI assistant in ÃÛ¶¹ÊÓƵ work front. So you have requirements and you have certain considerations. I have, linked some hyperlinks that would take you to the ÃÛ¶¹ÊÓƵ Experience League documentation that will walk you through all of the step by step process that you need to go through to check if you’re eligible, in case you’re interested. In the AI assistant, what are kind of like the steps you need to go through. For example, just to give one, your organization must have migrated to the ÃÛ¶¹ÊÓƵ management system that’s unified.

And then in terms of consideration, this is more so user guide. Like what are the things you need to to keep in mind when you start, using the assistant. So whenever you review the recording and you have access to the deck, make sure that your share that you’re reviewing, this information from the link. It’s very informative.

Now let’s focus on what this DCO system does, what are its main functionalities. So first of all, this has been released in the quarter release on August 28th of this year. And so the current functionalities are focused on providing help and insights. So number one this is experience lead Q&A functionality. You can get instant answers to your questions about projects, tasks, issues and documents using natural language input. So you can have answers on all of your different or from objects. And this will pull directly the information from ÃÛ¶¹ÊÓƵ Experience Link content summarization. So you know how this is complicated when you’re trying to learn about a solution. When you’re trying to seek for information, you go on ÃÛ¶¹ÊÓƵ Experience. You’re reading through very lengthy documents. You’re looking at all of your reports. This takes a lot of time. The system will provide concise summaries with key information for projects, for tasks, for issues, all of your works on objects, basically.

And then the third one, the formula generator, will definitely help you. You can query the area system and asking it to help you writing formulas for calculated fields for business rules, but also within work from planning, which will go to in a minute. So everything just got easier thanks to this AI powered formula generator. No. Where can you find your AI assistant and work fronts? Pretty straightforward. I will show you a video in just a moment. At the top of any work from page, let’s say you’re on your project page. You can click on the AI assistant icon. Then you will have kind of like a text box opening. You type your question or your prompt into the panel. And then if you cannot type into this panel, you’re noticing that this is not, letting you access the panel. That means that your organization have not signed, ÃÛ¶¹ÊÓƵ AI agreement on the file. This is one of the requirements that I was just mentioning on the previous file.

Lastly, if the AI assistant does not provide the answer you need, or if this is not precise enough or you feel like it’s kind of like off, you need to refine your prompt and try again. There is nothing wrong with trying different times until you really get the answer that you need. It takes practice as everything else. When you’re starting to leverage a tool.

All right. So I will play this little video. So this is a prerecorded demo where you will see where you can find the AI assistant on the ÃÛ¶¹ÊÓƵ, ÃÛ¶¹ÊÓƵ work front instance. And it will show you a couple of example of prompts, questions that you can submit to the tool. So let’s watch it together for now. I think this allowed.

All right. I hope you liked it. I feel like this is always better sometimes to watch a video, rather than having someone walk you through what it can do.

Now, let’s move on. So we talked about area system in ÃÛ¶¹ÊÓƵ Workflow. Now we want to talk about AI assistant in work from planning. So this has also gone live on August 28th. So works from planning as a kind of like new component of a solution within ÃÛ¶¹ÊÓƵ works on is live since August 28th and it’s been it has been released with an assistant as well. The AI assistant is available. So in the planning area of work front and only on specific pages for now, the workspace page and the record type page, there will be more in the future. Current functionalities are focused on generation and automation so you can search for records, create records, automate brief ingestion. This one is a game changer. So for example you can produce through campaign briefs from campaign document work from supports a wide array of format documents. So you just upload those documents and it will generate a brief. You can update fields for the records you see on the screen. You can delete these records, or you can restore the records that you just deleted. So really helping you with the generation and automation accessibility. Again you can when whenever you log in to work phone, you need to go into the planning area in the tool. Then you click a workspace card. You can click a record type or you can click a record to open the Records details page, but this is optional. Whenever you go to a workspace card, you should be able to see your AI assistant. You click the AI assistant icon on the upper right corner of the screen in the global navigation bar. Up until now, it looks exactly the same as the AI system. You know, W works fine, and then again in the text box, like in the space provided you start typing commands for the assistant, you click enter and then you’re done. You start getting your answers requirements. So what do you need to access and leverage the assistant in planning? You need a new work phone plan and license, so work from planning is not available for legacy work from plans and licenses. You also need an additional license for work from planning. If you’re interested and you don’t have these enabled yet, please talk to your ÃÛ¶¹ÊÓƵ Work Phone sales representative. Your organizations instead of Work Farm, must be onboarded as well on the ÃÛ¶¹ÊÓƵ Unified Experience similar to the previous one.

Lastly, the actions performed by the AI assistant in the planning area are always in the context of your work, from planning permissions and your work from access level for ÃÛ¶¹ÊÓƵ Work from user, you should know that you have different sets of permissions and access level based on what you’re doing as a user in work front end. Those are being set for your, work from system administrator.

So let’s watch another short video which will show you this specific functionality, which is the AI powered brief ingestion and work from planning.

All right. So we’ve been through the second products. So ÃÛ¶¹ÊÓƵ Work farm. We’ve reviewed the AI assistant in the general tool, but also in the planning area. So now we’re going to move on to our last product. So ÃÛ¶¹ÊÓƵ Experience platform and all of the different, applications that sit on it. What are the different. Yeah capabilities that exist on app.

So yeah, you know we experienced platform capabilities. As I mentioned before, this is the first AI assistant that was released this year back in March. So this AI assistant is an intelligent, conversational, generative AI tool that will boost your productivity and redefine work in ÃÛ¶¹ÊÓƵ Experience platform based application. So what is generally available? As of today, product knowledge capabilities. So you can quickly access and understand ÃÛ¶¹ÊÓƵ product knowledge concepts to learn and troubleshoot for the different applications sitting on apps. So this is real time CDP ÃÛ¶¹ÊÓƵ Journey Optimizer. So what we refer to as AGL Customer Journey Analytics that we refer to as CGA, we also have a public beta that’s, open today for additional capabilities that focus on operational insights, where you can learn about business objects such as audiences, schemas, data sets, destinations, journeys, and so on. And so this allows you to understand lineage usage and hygiene, specifically in TCP and AGL.

This public beta will be GA very soon. I don’t have a date for you yet regarding the roadmap. So what are the different business impacts and how this can benefit your organization? Well, first off, it democratize access to enterprise data and metadata. It deepens your knowledge and improve product efficiency for all of your users and increase productivity and streamline operational workflows. So it’s a win win all across the board.

These are some of the features when we think about, user interface that the product team has really been focused on ever since they started working with early adopter customers. So you have multi churn to keep the natural flow of conversation between you and the assistant. You have verifiability to check your responses with built in tools that make sure that all of the sources where the information is being pulled in is verified. You have discoverability to get inspired with template prompts. If you don’t really know where to get started or how to get started, then you have autocomplete. Indicate objects with a simple click so it makes it super easy to use. And then you have suggested prompts. So for example you can ask a first question that’s may be very broad, but you want to make sure that you refining and refining until you get to, answers that you really need to execute your business and then chat history, you’re never losing the information from your previous Q&A, which is great.

All right. I will walk you through kind of like the different, functionalities that were present in the AI system in AP. This is a prerecorded demo, but this one doesn’t have sound. So I’ll show this after I walk you through. Kind of like the step by step of what you will see. So the little icon, it can be found in the upper right corner to open the AI assistant, similar to what we saw in ÃÛ¶¹ÊÓƵ work front. You can start with some prompts and some easy questions like okay, how do I create a segment. And so the assistant will give you the step by step process and will also link all of the sources, which will take you to the information that can be found in the documents on ÃÛ¶¹ÊÓƵ Experience Sleep. You can then ask more specific questions about your data, such as okay, how many segments do I have here? So this answer obviously is unique to every single customers. And then from there you can ask more and more complex questions, such as tell me what are the attributes there are within this segment or questions? There are more execution focused. Like what segments have I already activated. So then you know which ones to focus on because some of these are already activated and they’re up and running. So this assistant, if you want to keep like the main idea behind it, is really meant to health practitioners to get answers to questions much faster and then also to be able to navigate the interface easier.

So let me play this little demo.

I can see is clicking on the AI assistant is talking. Start typing questions on how to create a segments. You have your links, then it’s asking about the segments. How many do I have? Which ones are batch pay off 77% for the attributes, then giving you the list and then you know you keep refining your questions okay, which ones are already activated. So I know what to do next. All right. You’ll have more time to watch this video. I know it was like a little bit fast forwarded. Whenever you received a recording. Okay. So just to be transparent and just share with you a little bit more about the assistant vision from our product team. We’re just at the first step in this journey. And so in this first step we’re focused on delivering use cases or on assisting customers with access to knowledge and insights. Our teams are working in the near to short term to expand to generation of use cases. And then in the future, we want to start going into a goal based prediction and recommendation. So today it’s assistant only. You ask a question, you receive an answer. The scope. It’s your data objects in app. And it’s like product concepts to educate you value that you get from it. Is productivity mainly and democratizing access during your phase two. You want content generation. You want to have proactive tips. You want to keep the human to user in the loop. You want to automate mundane tasks, so you’re saving time. So it’s decision support and insights. You have ideas for optimization. You have audience insights. The phase three is to start with a goal. For example, you want to say to your assistant, I want to sell my inventory by Christmas date, okay. Then the AI system will come back with how to achieve it. Like a very detailed plans that will leverage predictions and recommendations. So this is the vision. No promises because this is a roadmap. So everything is subject to change. But the concepts are here to go from an enabler to a disrupter. When we think about the about the system for app.

All right. Now we only have two minutes left. So I will go through the key takeaways very quickly to wrap up. So kind of like three parts. We went over three parts in our presentation. There’s three main key to key takeaways for each of them. So first we did the content supply chain overview. The content supply chain is an end to end process that involves planning, creating, managing and distributing content to enhance your overall performance. A broken content supply chain hampers content potential because there’s so many challenges you’re facing like poor brand, standard difference, lengthy reviews, compliance risks, difficulties in asset reuse, and it’s limited by performance insights. So connected work that was the key message at the end of the section is crucial. And so while generative AI boosts content speed, its full benefits are only achieved with streamlined production. Otherwise, it remains just an incremental tool that will give you more content then jumps studio vision. This is ÃÛ¶¹ÊÓƵ’s proposal for optimizing your content supply chain. You have five building blocks until around which this solution has been built for workflow and planning, delivery and activation, reporting and insights, creation and production and asset management. So you’re leveraging AI to enhance key use cases throughout the process. Gen studio is this comprehensive set of solutions. It’s sitting on ÃÛ¶¹ÊÓƵ Experience platform that leverages various AI models and has several applications across the cloud, and Creative Cloud Engine Studio. The AI components aim to revolutionize customer experiences with tools for one content generation, two assisted workflows, and three measurement and insights. So when we think about the third part, where we review the available AI capabilities for three products, we reviewed Am Genie AI capabilities that provides customers with better content creation through intelligence, accelerated activation of on brand content at scale, and optimized self-learning experiences. Then, with ÃÛ¶¹ÊÓƵ Workflow on the AI system, you provide an easier planning and execution of work. And finally, with API assistant, you democratizes access to enterprise data and metadata. You deepen knowledge and you improve product efficiency. So this will really help you increase productivity. And this will streamline operational workflows.

Those are those are the main key takeaways I will just review the chat.

While I will I will just ask you to launch, the survey. So if you guys could just take a minute to answer those three very quick questions, that would be very useful for us to make sure that, you know, you got some value out of this sessions. Maybe. What are some elements that we didn’t touch on? But you were, you know, interested in so that we really can tailor the future sessions and make sure that we’re always providing content that’s relevant to you. Okay. I don’t see any questions in the chat. Thank you so much, world, for sending the survey. And also for, pinning the requirements and considerations for, the product. So I know we’re over time. Thank you so much for your attendance, your participation today. So you’ll hear from us shortly. We’ll send a deck, the recording and, there wasn’t any questions, so we don’t need to follow up on that. But we really appreciate your participation in the survey to ensure we’re delivering value and tailoring our future sessions to your needs.

Overall, we’re looking forward to seeing you again soon on one of our future webinars, and I thank you and I hope you have a great rest of your day and take care.

Awesome. Thank you. That was great.

Thank you.