Hi there. I'm Juanita Olguin. I lead platform solutions at Coveo. And for those of you I did not get to me at the Connect conference, I help to lead three different areas for our company. One is helping companies solve for enterprise wide use cases when it comes to AI search and discovery. The second is helping website or digital experiences to improve those. And the third is working with our workplace and employee experience customers who are really trying to transform the, the, common use cases we know within the workplace such as the Internet. So today, I'm gonna cover, the presentation I gave at the innovation stage at the conference. That way you could get a view of our perspective and how we think about the world of work. And so we were excited that the conference did lead with EX and CX because we do see a blend in the market and an expectation that companies are providing a total experience to all of their key stakeholders, and we believe that this can be done with one platform that that is one AI search platform that is helping to really elevate the experiences across all of your key stakeholders. Now, for those of you that didn't get to catch me at the conference, I wanted to start by saying there are four keywords that started to emerge this year, and I'm gonna jump into that and just let you process what those words mean and how true they are for you. And those keywords are the following. Do more with less. We're being asked to do more with less. And when I first heard this, it really did kinda, you know, derive a certain emotion because I felt like it was very contradictory for teams. Right? Where they're asked to do more with less. And sometimes in our day to day, lives, it really feels like we're asked to do impossible tasks. As you can see here, a guy jumping out of a plane working. Right? Always connected, always trying to do more with less. And the thing about these four words is the following. They actually mean different things to different people. So if you're an employee, do more with less might mean more projects with less resources, perhaps higher goal and less financial support to be able to reach those goals or more work and less time to do that work. Now if you're in IT, or in service delivery, do more with less might mean more support more support to your end users with less staff. It could be having you manage more technology, and optimizing existing while trying to look for that next gen advanced technology. And it's also being asked to grow while you're reducing costs. And on the customer side, you know, I don't think we're really asking our customers to do more with less, but I can imagine do more with less means the following to a customer. It means being able to find what I need quickly, less clicks, a quicker transaction, a quality product, a good service. Those are things that a customer might expect in the world of do more with less. And what I find interesting about this is that employees are customers too, and we should think about both in the very same way and provide those very effortless proactive experiences to both of them. Now the other thing about those four keywords is that they assume people are empowered and self sufficient. And when I asked this question at the conference, how many of you feel you're empowered and self sufficient, quite a few of you did raise your hands. But I wanted to dig into the empowered, word here. A component of being empowered means that you're enabled, and and a compart of being enabled means that you can find what you need to do your job. The reality is that that's not always the case. When it comes to IT, you know, there's so many systems and applications that exist within an enterprise that it's often hard to know, where to prioritize or what systems to choose. And what you see here is, a diagram from Gartner showing the more next gen technology. So this doesn't even showcase what companies have in place today. So there's a lot going on in the world of IT. And the same is true for employees and customers. When we are visiting sites, whether it's the internal Internet or externally on dot coms and support sites, it's often hard to know where to start, what to search, where to look. And we believe that AI can really help to solve for these two key audiences. And the first is by helping customers and employees have a simplified guided discovery journey journey that means less interfaces and less effort for them overall. And the second is helping IT scale their capacity, amplify the existing systems that they have in place to drive enterprise wide standards. I'm gonna give you an example a few examples of how how you can visualize and think about AI in your enterprise today for your key stakeholders. The first thing I wanted to show was a CX or customer experience example. So what you can see here is a user starting to search, and they're starting to get some suggestions. They're getting numerical suggestions to complete that query, but they're also getting suggested products and content that might be relevant to what they're typing in that search box. And what's happening here is that AI is powering a suggested experience based off of the success of other similar users. And here, the goal is to get this user to perhaps finish, transacting or buying something online if it's a transactional site, or perhaps it's just a customer that needs some support on a product they already have today. The next example I wanted to give you was a workplace one. And so what you see here is an employee who's visiting the Internet, which we all know is the digital gateway to companies. What you don't see here is an employee actually searching. Right? There's no search in the search box. But what you do see is that they're still getting recommendations for them based off of who they are, their role in the organization, and these recommendations span people and content areas. And the hope here is that we're helping to, create a productive environment, improve productive productivity for employees as well as reduce that time spent searching, which we can all personally relate to. And lastly, I wanted to show another customer experience example, this time on the agent side. So what you see here is an agent speaking to a customer on the other side of the phone, and what they're getting are AI powered recommendations on the content that would be most suitable for resolving that case or that ticket at hand. And here, AI is powering and unifying that support knowledge and articles and suggesting the next best content based off of the success again of other similar users and cases. And what you don't see here is that the agent actually does have visibility into the full digital journey prior to this phone call, so they're not recommending or suggesting duplicate information. Here, we're looking to reduce the overall cost to serve, increase that time to resolution sorry, decrease the time to resolution, and hopefully improve CSAT. We believe that you can help your users be successful wherever and whoever they are by powering your systems and sites with AI and equipping IT with the best of breed technology. When we take a step back and we think about the world of work, oftentimes, our key stakeholders are looking for the same information. So customers are trying to find information either to buy or to get support on a product or solution they already have, but your employees need access to that same information as well. And so the more that we can think about and simplify the world of work and information and knowledge as something that can be provided to multiple stakeholders at once, just, personalized and tailored to wherever they're searching, the the more simple we can make this world of AI and work, exist. We know AI can be overwhelming, but it doesn't have to be. So wanted to just provide three key questions to ask yourself, when getting started. And the first is, who is your audience? Is it your employees? Is it your customers? Is it on the marketing side or the support side? Next would be, based off of who your audience is, what are the core applications they engage with? Are they the Internet? Is it the service management system? Maybe it's just the dot com. And what is powering those content and knowledge experiences? And once you know that, the last question you should be asking is what interfaces do your end users prefer? Do they wanna work on the Internet? Do they prefer to browse on the support side? Maybe they wanna work with a chatbot, and all that is possible with an AI search platform. So I just wanted to show you a few of the key outcomes we've helped to drive for some of, the most notable organizations and our customers. So you can see here with Dow, we helped them improve their ESAT by three times by improving the Internet relevancy and results. For Salesforce, we help to drive seventy five percent of, the recommendations that agents receive are driven by machine learning, which means less time clicking and searching and more time serving the customer. And on the Adobe side, we help them to save over two hundred thousand hours in productivity savings by helping them prioritize knowledge and search across the enterprise. We'd love to show you what we can do for you. And if you enjoyed this presentation and liked what you saw, please do connect. Feel free to message me directly. Thank you for your time.