Pollard's starting to come in. I'm just gonna wait a bit before we get this started. Hi, everyone. Okay. So I think, we can wait a few seconds. You can tell us where you're joining from if you want in the chat. It's always fun to know where everyone's coming from. Okay. So, oh, yeah. Florida. So I think we'll get this, going. So hi, everyone. Thank you for joining our, live demo webinar, AI powered experiences for the digital workplace. My name is Livia Dionne, and I'll be your moderator today. I'm really excited to be part of today's session with Olivier Bonneau, product manager for Coveo for Workplace, and Colin Straken, senior product marketing manager for Workplace as well. They'll be covering how Coveo uses AI to connect and enhance your digital workplace. And I just have a couple of housekeeping items to cover quickly before we get things started. So first, everyone is in listen only mode. However, we do want to hear from you during today's presentation, so you can use the Q and A, and the chat. We'll be answering questions at the end of the session, so please feel free to send those along using the Q and A section. Today's webinar is being recorded and you'll receive the presentation within about twenty four hours of the conclusion of the event. On that note, I'll leave the floor to Olivier and Colin. Yeah. Hello, everybody. Thank you so much for joining. So my name is Colin. I'm the product marketing manager for the Workplace solution, and I'm joined today by Olivier Bono, who is the product manager for Coveo for Workplace. So what I'm gonna do today, I'm gonna start by giving you a bit of an intro into the Coveo Relevance Cloud. What is the Relevance Cloud? What do we mean by relevant experiences? And then how does Coveo actually provide those, in the workplace and add value to the workplace? And then after we've done that, I'm gonna hand over to Olivier, and he's gonna give you a live demo of some of the new innovation that we've actually got coming, this year, some of the features that are available now, and, some of some of the things that we've got coming in twenty twenty two. So just before I get into it, we recently became a public company. This is just a a disclaimer that that I have to show. It's really just being extra cautious. It's, legal protection over the content in the presentation. And, of course, if you if you wanna read it in detail, you can pause the recording afterwards and check it out. So Coveo, just to kinda start at the top here, the Coveo Relevance Cloud, we have four main business lines. There's a fair bit of overlap, between them, but they're all really driven by experiences. So the experience that you get on a commerce website is obviously different to the experience you get on a service website. But with Coveo powering these experiences, they're they're all powered by the same type of unified index and the same kinds of machine learning models. And this one at the bottom that you can see here is the one we're gonna focus on, of course, today, which is the workplace solution. And that means, you know, the Coveo for workplace is really about helping people to find stuff at work. Right? So if we start by thinking of a company intranet, this is really the digital expression of your company, and it's the place that people go to for HR or IT queries or just to find information. Information. And the goal of Coveo is really to connect people with that information, as quickly as possible and to kind of combat this sprawl of information that tends to exist in the modern workplace as we've accumulated so many different SaaS platforms, each of which has its own, store of knowledge. So what usually happens today is, you know, people reach out to their colleagues asking where can I find this document? Do you know what the most up to date version of this document is? And this kind of discourse is why employees end up wasting, so much time every day looking for information. And what Cabello tries to do is it makes all of your company information searchable from the same interface, all securely, of course. And then what it does is it uses signals from interactions with the search interface to give each employee a personalized experience, leading them to the documents that they're likely to need next. And that's what we mean by relevance. That's really what we mean by relevance, and it's how Coveo actually reduces the effort of from search and provides, like, a better experience. So Coveo has been in the business of improving relevance for over fifteen years. We've built out Coveo to enable every enterprise to deliver these types of relevant experiences, you know, not just the companies that have the luxury of, you know, devoting, resources to thousands of data scientists and kind of billions of dollars of infrastructure. But to do this requires, a platform on which, it requires, sorry, a platform on which you can, collect interactions from across the workplace and use those to create more relevant experiences. And it's really driven, like I said, by expectations. So particularly in recent years, people's expectations have really risen, by applications like Google, Amazon, and Netflix, because they're they're able to deliver such highly personalized experiences that it's actually making the experience that people are getting at work increasingly frustrating because it it tends to be subpar. You know, we've all kind of come to accept that we do not get the same standard of experience at work when we're looking for information, for example. And when you think about why a lot of these old intranets, and knowledge management projects fail in the workplace, it's usually because they aren't doing enough to connect employees with what they actually need quickly. That might be because the interface is bad or the content quickly goes out of date, or there's just too much information and most of it doesn't look relevant when somebody lands on the Internet. Or in some cases, the Internet's just a a series of links to other knowledge sources and it doesn't help employees to actually find what they're looking for quickly. So this is what causes employees to start pulling their hair out really and it's in the end that that's why they won't use a platform because they just don't trust it. So as you can see from several recent studies, the impact of being able to find knowledge is is high on it on how employees feel. So there's been a lot made in the past year about this great resignation, which has partly been driven by economic factors, of course, but it's also really just a pursuit of more meaningful, experiences at work. And you can see from this last stat here, which is probably the most damning, which is that almost one in six people are ready to quit because of search related frustration. And the impact on businesses is obviously large. I mean, if we look at a company here of ten thousand employees, you can see how these hours wasted per day really accumulate over the course of a year. But when we talk about hours wasted, it's easy to think of the workplace as just this kind of big machine that you can drive extra efficiency out of with technology. But the reality is that for each employee, every day at work is different. And there are specific moments in your journey where you need to find information urgently. You know, it might be to help close a deal or serve a client in a relationship that's already quite fractured. Or imagine, you know, senior management handling a crisis at a company and needing information in order to make a decision. And, you know, if you can't find the information, if that information is not readily available and you need to make a quick decision, you're less likely to be able to make a good one if you can't find the right information. So part of, of providing a great experience is not only about providing relevant knowledge to employees, but it's about getting it to them as quickly as possible so as to avoid those really frustrating and disappointing situations where they can't give somebody the information that they're asking for at the right time. So what does Goebayo actually do to alleviate these problems and create a better search experience in the workplace? Well, the first thing is that you're able to collect all of your enterprise content into a unified index. Index. You're able to make all which makes this all of this information searchable and easy to find in one place. And we offer, you know, at least fifty, out of the box connectors to make it easy for you to connect to these kind of commonly used workplace data sources like Google Drive, SharePoint, and Jira. For all of the data sources, there is flexible API connectivity as well, and there's an on premise crawling module for that kind of content. There's also comprehensive security and permissions set at the indexing level so you can rest assured that people are not gonna see the content that they're not authorized to see. And of course by using a a unified index, Coveo is able to make relationships between the different types the different items that are in that index. Right? So that's really what drives relevance. It's it's building context by interactions with these different types of content that all exist in the unified index. And that's something that that's a big advantage over a federated search system, which is effectively keeping knowledge siloed, but it's just searching within these different separate knowledge sources. And, Caveo, what it also does, of course, is that it enables the delivery of this content at various workplace touchpoints. So you can see the intranet is the most commonly used destination here, but Coveo has integrations that you can see on the bottom there. Salesforce, ServiceNow, there's off the shelf intranet platforms that are becoming quite popular, in twenty twenty two. And really any web based interface, you can deliver this content using, headless components. So Olivier is gonna show you after this some really innovative examples of this shortly, including the Chrome extension and some integrations to Slack that really help to maximize productivity. And then of course you have the AI. And the AI is what learns from every interaction to serve more relevant search results and recommendations to employees over time. So what really sets Coveo apart is that these machine learning models driving the relevance are also adjustable. So you're not getting a kind of black box experience, where you just kinda have to trust the vendor that it's it's ranking content properly. You can actually using the Coveo platform, you can actually adjust, the machine learning models and introduce your own kind of business rules and ranking factors there. So what do you get with Coveo? In a nutshell, the big one is obviously the enterprise content. I mean, it's enterprise search, so it breaks down those knowledge silos and it gives comprehensive search results to employees that rather than making them kinda jump between all these different systems. It's a unified index that's built to scale. So basically, you know, there are some some of our clients are adding millions upon millions of documents every year, but that unified index is, you know, automatically being updated. So they don't have to rely on content migrations and kind of content curation and things like that. You also get a UI out of the box, and this is this allows people to get up and running faster because they don't have to build it themselves. And obviously, this UI is fully customizable, but the UI that we give out of the box has been tried and tested over a long period of time, and it has facets and filters that help employees to actually find what they need. And then, of course, you have the machine learning, driven relevance that's really that's that's what's really driving the relevant experiences for each employee. And what that helps to do is really filter out noise because if you're an employee going to an intranet or a self-service portal, you really wanna know what's relevant for you. You don't wanna have to see content that's not relevant for you. And that's really a result of Coveo stitching together these insights based on the employee's role, their behavior, their previous interactions with content in order to provide to them just what they need to get their work done. Then we have workplace interact integrations, which I spoke about, which helps you to create this kind of connected experience rather than a disorienting one between the different systems. Caveo has out of the box analytics, and this is something that, you know, a lot of our clients don't realize the value of until they have it, because it really gives you this window into your employee experience. You get to see what are people searching for, what are they getting stuck, what are they unable to find. And using that in analytics, you can actually use that to to improve things like remote onboarding programs, upskilling programs, training programs, really make big improvements to your employee experience using that data. And then, of course, security and permissions. I mean, this is a nonnegotiable for any enterprise. It's something that we get asked a lot about because because obviously all enterprises have sensitive data. And when you're using something like the unified index, you might be concerned, you know, are people gonna see content that they're not not authorized to see? But, of course, all this stuff is set at the indexing level, and and there's strong measures in place there. So now I just wanna kind of look at the evolution of the workplace in general and the evolution of Cabello for Workplace. So the workplace as you know is kind of a it's become this matrix of applications and systems and data sources. A lot of our clients come in here at this point, knowledge hubs. So what they're really trying to do is they're trying to get Coveo to power an intranet in order to, you know, make an intranet more relevant, keep it up to date, make the experience better for employees, make sure that they can find what they need in this kind of centralized knowledge hub. But, of course, you have employees working in tools like Salesforce, ServiceNow, you know, the self-service and sales applications. You know, what we our next kind of step in our in the Coveo history was to make the build these integrations with these very big, commonly used tools, and that allows you to kind of get the Coveo experience inside those tools once you've established that high degree of relevance on the Internet. And then think next about conversations. Think about Slack. I mean, this is where so many of your workers are communicating, collaborating. They're actually coming up with solutions in Slack every day. So So you can either let Slack become one of your largest knowledge silos or you can index that information and bring these solutions to employees, make sure that they're searchable, so that when people come up with the same issue, they can find that issue being resolved in Slack. And Cabera Slack Connector allows you to do exactly that. Indexing Slack isn't just about being able to show these logs in search results either. Indexing Slack unlocks a huge amount of context about each employee because, you know, it feeds the machine learning with information about which channels they're in, which projects they're discussing, and all of this kind of feeds back into the machine learning algorithm in order to improve the relevance that you can give at all of these different workplace touchpoints. And then to close the loop here, you've got the kind of web based applications that employees are actually using to do their work. So day to day people are not working in the Internet. Right? They're actually working in SharePoint, in Google Drive, in Jira. And if you can bring the Coveo search experience and you can bring that highly relevant search experience to these employees without asking them to navigate away from what they're working on, you can really start to deliver a world class experience, and you can really start to deliver that connected journey that I've been speaking about. And that's what maximizes productivity and and really reduces distractions and allows people to do their best work there. So that's why we talk about Coveo as a kind of digital workplace backbone because what's beautiful about it is you're not adding another platform to this huge array of platforms that you already have. What it's really doing is connecting your systems and making them smarter, powering knowledge delivery inside these systems, creating a more consistent journey across the entire workplace, and really creating, you know, more of a familiar feeling for employees as they navigate across the workplace and look for for knowledge at each touch point. And that's why we say that, you know, the digital workplace is no longer a monolithic experience. It's made of many applications and touch points. And that's why Coveo now Coveo for workplace, the trajectory of the product for twenty twenty two is really how do we bring that experience into the flow of work to meet employees where they're actually working. And, what I'm gonna do now is I'm gonna hand over to Olivier, and he's gonna show you how it works. Alright. Thank you, Colin. Thing good day, everyone. Thank you for being with us today. So, Colin, you tell me if you see the right screen. Yeah. So so, I mean, usually, when we do that kind of presentation, Colin and I, decide putting the right the same shirt, we always, like, you know, we use slides and, you know, I would use slide to actually show the different feature that actually power the Qubo for workplace solution. But, today, I'm gonna run you. Instead of that, they're gonna run you through, some kind of demo, in which you're gonna see these different feature in action. So let's get started. So basically here, let's say that I'm gonna switch persona. I'm a solution architect, and I work for a company called Speedbit. Speedbit is a digital watch, maker. And, actually, you know, it have a, it has its, you know, own intranet, let's say. So as a solution architect, I'm I'm working on a new, a new feature for a couple of watch, and I'm writing down that document here inside Google Drive. I'm having my document open, and everything is there. As a solution architect, you know, I might not know exactly what the r and d, is all about at that very bottom. And then to complete my my design document here, let's say that I need to to know if, let's say, the source code, the the heart rate tracker is now live in production. So I can add that into my design. So what what would I do? What would I do usually would be to actually open a new tab, open a new, Jira project, search inside Jira and try to find if I can find that solution here. So which means that I would switch context. I would rely on, you know, going to a different tab and, like, digging the digging down for that information. Instead of that, one of the idea that Conan was referring to is, like, bring the content in the flow of work. So I draw your attention here on the bottom right corner of the screen. Here, we have that little button. We call that the Kavo Chrome extension. And usually in it is really it's embedded inside the Chrome browser, but it's connected to your Coveo platform that power your intranet. So as, as a as a solution architect here or a system designer, I can look right into my intranet because let's say that we already indexed Jira, Confluence, Google Drive, and all of these other sources that, you know, as an employee, I might be interested to look into. First, I would like to to show you here that out of the box, the Google Chrome extension propose you a personalized content, and that could be done in different way. It can be done through business rules that, your business owner can can configure within our platform, or it can be simply machine learning that actually, detect that you are in Google Drive, that actually you're working on a speed with heart rate tracker. And based on your persona and different kind of input, it will propose you some kind of document here. So, I want to see if that source code and let's back let's get back to our story line. I want to make sure that my my my my source code is in production. So I'm gonna type in here source code tracker. As you can see already, I have suggestions here that are, been proposed to me here again. Here, we're trying to, you know, to to to get the Google look and feel. You know? Basically, it's powered by, Cavio Cavio machine learning. This is one of our, you know, classic machine learning model that we call query suggestions. And this one, based on my persona, based on the first few letter that I'm typing in, we'll try to find which query usually lead to a click, basically. And we're gonna train the machine learning that way. So in that in that case, I'm looking for the source code tracker. K. Search for this. This I search for that query. And here I see the first document seems to be the one I'm looking for. Again, I'm doing that old narrative, and it's been over two minutes. But, you know, as an employee, I would just click click, click, type in my query, and off I go. I find the right document. So I click on it here. It will open inside Jira part of the couple of platform. We have a Jira connector. Therefore, you know, we we can get in touch. We can bring we can get, to that content easily. So I look into that. I'm like, alright. It's in production yet. The it's done. Alright. Good stuff. So now I could either, like, come back to my document and finishing up, or let's see that I'm Let's let's let's stay in Jira. And I'm like, yeah. But what if someone already send a release note about that? So, again, I could open the conference and, you know, do the same process of searching everywhere. Let's open back the cover Chrome extension. First thing, the document personalized just changed because I just changed context. Now I'm in Jira. I'm looking at other things. So the document proposed to me are based on different rules. So let me search for the the speed with release notes. I find them there. And off I go all the way to actually to conference where, you know, I can look at my documentation, etcetera, and I can finish up what I was doing without changing context. That Chrome extension is actually been I mean, when you you you you get the Chrome extension inside your your company, it's distributed to to the Chrome extension store. Basically, it has that little menu here that you can configure the different domain you would like it to to to open. Maybe you don't want it to open when you're, you know, once when you're looking at your favorite news, website or stuff like that. But basically, everything like snl, my row office, everything that is work related, you would like to have that chrome extension always following you in the flow of work. So this is kind of how do we engage, you know, really, really closely with an employee? So we can imagine the same use case in a spreadsheet, in SharePoint, in whatever, places where you're using Chrome to access and to work on on daily. So that's one part of the cover for workplace, initiative and features. Let's say now that, you know, as an employee and Colin was speaking about that, the whole idea of, like, knowledge that knowledge center, let's say. So I was, speaking about if I was, like, Newman, an enterprise architect working on that speed bit tractor. Any companies now I mean I mean, we all have an intranet part. We all have some kind of, you know, main place where we don't always go. We'll go maybe couple of times every month just to look at, you know, the PTO, the payrolls, you know, that kind of more HR related questions. So everything that you're seeing on the screen here is fully powered by Kavo. This is one of the interface that comes pretty much out of the box with our offering. I want to draw your attention here to all of these different banners pretty much related onboarding material you may be interested in, my team recent contributions. All of these different document are actually powered by Cognio machine learning, which from the get out of the gates when Nick Newman is opening that page since he's, let's say, new employees from Chicago, etcetera. I mean, the different document here gonna be personalized from true machine learning or using business rules. And since Caveo have a pretty extensive, connector, and we can pretty much index a lot of different content, we can also index people from source such as, Microsoft Active Directory and so on. So let's say that Nick is looking for, you know, the new he's having some issue, connecting to a VPN because, you know, he's working from home. It's not always easy to connect with VPN. So let's search for VPN and Wi Fi and VPN connection guy. Again, all of that is driven by the Cavio platform. But since we're a different use case, we're not working within the Chrome and using the Chrome extension. We're actually inside the Internet portal. The machine learning learns different behavior and different kind of queries and stuff, and we expose different kind of document. So let me search on Wi Fi and VPN connection. When you get there, first thing that we see, it's different kind of sources. You know, it's gonna be SharePoint, Google Drive, conference article about, you know, COVID and VPN access. The idea here is that we bring kind of a highly relevant and classic search experience within the intranet. On the right hand side here, you can see you can filter with facet on different sources, on different author authors, etcetera. So really a classic use case, but we're bringing all the sources, all the content at the same place. So and they could look for, actually, to bring the copy or the VPN access, look into this document, and, you know, carry on with these daily work. Then let me get back here into our, dashboard example. One of the the the the last thing that Colin was mentioning was everything about Slack. You know? Slack is scarred to to our enterprise. It's pretty much where everyone go to to to to ask question, to, you know, get in relation with with with other people to, you know, just sometimes just to chitchat, but sometimes just to, you know, ask technical questions. So what we've done, for a couple of for Workbase, we started to index Slack content. And what I mean by indexing Slack content here, it's really up to you from a business point of view to decide which channel, you know, only public channel, of course, that you would like to expose. So big channels in which, you know, you might have a lot of relevant content that applies to everyone. Let's say, HR, r and d, technical question, integration, that kind of thing. So those are the huge channel in which people come and go. They ask question. They get answer, etcetera. So here, we do not want to replace the Slack per se, the Slack search, but it's just another way to expose another touch point where you can expose content in the flow of work really where the employees are. So let's say that Nick Newman is having an issue with, configuring a connector. So you're gonna type in a connector, search for, let's say, his answer. Oh, maybe, that guy here, Gustavo, seems to have the the the right answer. You can click. You show the trailer right. No. Not this one. Show this one. There you go. Seems to have the proper answer. So now, I mean, you don't want you would like to engage with these guys. So you just click open in Slack and off you go. Right? You're being directed to your Slack application exactly in that thread where that question or that issue was happening. And then you can carry on with the conversation directly, you know, talk to Jeremy. He seems to be a a an expert. He seems to be the one that answered that that that question, etcetera. So here, we want to make sure that we're just bringing the content and the flow of work, and we're making sure that we're engaging the employee with the right content. So, this is one of the the the the the very good the the the highly the the high valuable use case of having, a Slack connector. So those are just, like, quick example, and those build what we call the cover for workplace in the flow of road and bringing the right content at the right place. So just wanted I know that we're pretty much, already at the top of our webinar time. I wanted to show you guys all of these different feature. This is what we're we're proposing, in the cover for workplace for twenty twenty two, more feature to come. It's, yes. This is this is what I had on my end. I don't know if we have any questions or any outstanding question. Yep. Yeah. Thank you. Thank you, Olivier. Thank you, Colin. This was great. We have one question, actually. So is the dashboard standalone, or is it possible to display search center within an intranet? Yeah. Definitely. What you're seeing on the screen here, it's built on on top of what we call our headless visual library. So it can be instead, being delivered as a out of the box search page that you can build on top of our of our API and have your own developer building that. Or we can since Coveo is an API based solution, we can integrate with the with player in the industry. So if you already have an intranet dashboard, we can you can just, let's say, use that component here to drive recommendations, switch your search box for for hours, but keep everything else as being your your current solution. So it's very highly flexible. It could be out of the box. You can just use couple of component, switch component, together. So, yeah, totally, it's it's pretty much as per your design. K. Thank you. You had another question. So when you index Slack content, do you index private channel and conversation as well? No. A very good question. Like I I was, as I said, I mean, Slack, I mean, is such a rich source of content. We want to be, sure that the right content is exposed, and we're not breaching any privacy and and such thing. So it's only public channel that are being indexed and administrator of the workplace of your workplace, of your Slack workspace. I mean, have full control on which channel you want it to index. So, basically, it's up to you guys. If you want to only index ten channels, it's up to you. You decide which one you would like to bring in. Thank you. Yeah. We also have another question. So how do we compare you, our product with Google Enterprise Cloud Search? Yeah. I mean, Google Enterprise Cloud Search, it's not a thing anymore, hopefully, for us. Basically, in term of comparison, I mean, the idea is that Coveo, we have, like, way more, we used to have, like, more connectivity power than, than Google enterprise cloud search. They they they they had this product a couple of years ago, and they they kind of pretty much, stopped, supporting it couple of, like, I think, three years ago. So, usually, we we replace Google enterprise search, in many places at the moment. Yeah. I'd just like to add to that, that Google Cloud Search tends to require a lot of development lift. So the the good thing about Caveo is that the platform can be managed by business people. So you don't have to to to to do defer a lot of that stuff to to developers. And, Caveo also gives you a lot of control over the the machine learning algorithm algorithm, so it's not a black box solution like Exactly. Yeah. Very good point, Claudia. Okay. Thank you. I can ask you one last one. So, can the Coveo platform report on employees' activities? We re I mean, basically, what what the I mean, we have an extensive reporting platform. What you which actually track what is being searched and what is being clicked and these different interaction that your employee is gonna do with your content pretty much. So, we have a very we provide you guys with a very well and extensive understanding of, you know, which do you have any content gap? Is there any document that seems to be outdated that actually people search for and they don't click on? So, that kind of idea. So we kind of track from all of these touch point those session from an employee. So if you started in the Google Chrome extension and the Kaggle Chrome extension and you look, you know, just the the flow the little flow, that I've done from a reporting perspective inside the Kaggle platform, you would get all of this, and this is what you can report on. It is a highly valuable information from a business owner perspective since, you know, you know, do I have, like, content gap inside my enterprise? Is there any area that people seems to not to be engaging at all, etcetera? So we have an extensive reporting platform. Yes. Thank you, Olivier. And, we're gonna take one last question from Rachel. So it's mentioned. So what's the average implementation for a client who wants to integrate Coveo with their Internet with the customized UI? Is this set up mostly on the client side, or does Coveo do a lot of the heavy lifting in terms of connections? You have the question? I mean Yeah. Mhmm. Yeah. Thanks for that question, Rachel. Basically, we do offer professional services and customer success manager, to help you with enablement and onboarding, etcetera. But as from the technicalities, you know, our connector, our full fledged connector with extensive documentation, which can be set up and up and running in, you know, just couple of clicks within our platform. Usually for, you know, extensive solution, you know, with with big deployments, we always gonna have, like, you know, a solution architect, professional services being involved as well to make sure that, you know, the right decision and the right design is being made. But our platform, is made so a business owner, after, a little bit of training that we offer on our platform, on our website, can actually design his own query pipeline, his own business rules, add new sources, filter them out, etcetera. So, really, it depend on on on on the size of the solution, but it's totally possible to have, you know, couple of clicks away, minimal of effort, and you can have a a search page that just that just run. You know? Great. Thank you. Thank you, everyone. Thank you, Olivier. Thank you, Colin. I think, this is all the time we had today, but feel free to reach out if ever you have other questions. And we'll make sure to send you, the recording after this after after today. In the next couple of days, you should receive it. So we hope to see you again soon. Thank you so much. Thanks, everyone. Bye bye. Bye bye.