Advancing Knowledge Management through AI with REWE Group

Hello, everyone, and welcome to our webinar, advancing knowledge management through AI with REWE Group. My name is Carolyn, and I work with Market Logic. And for the next forty five minutes, I will be your moderator and emcee. Alrighty. So onto the show, as I mentioned, we have two speakers here that you can see, give a wave, Mark and Robert. So from REWE Group, I’m very excited to have with us today, Mark Reuter. He is a senior business analyst in their business insights and retail intelligent function, and he will be our expert, explaining a little bit about what knowledge management looks like within their organization and how it is evolving with the integration of AI tools. But first, we will be hearing from Rob, my colleague here at Market Logic. He is here to just offer a bit of context about, again, the timeline of how we’ve worked with REWE, and, a little bit more about what that process looks like, from our side. So a little introduction. This will be very, very short, but if any of you are unfamiliar with us, this is the first Market Logic event that you’ve joined. We have actually been in the insights management business for over a decade. We are a SaaS provider of an AI powered insights management platform. We work with a lot of global B to C brands today. Obviously, we will be, talking to or looking through the lens of the retail industry, but we work with, customers from, you know, finance, FMCG, retail, of course, everything. You can see a a selection of some logos there. We also have a lot of integrated partners, as we deal with a lot of variety of data sources. So news feeds, syndicated sources, all that good stuff. We have a very, very broad ecosystem that our customers can tap into. A little bit just about our product, and, I will keep this very short, but I think it is important to just highlight, what we mean when we’re talking about DeepSights because that will definitely come up in the interview I have with Mark. So DeepSights is our, AI powered insights solution. You can see just a quick, screen grab of it here, but it is a natural language, Gen AI tool where you can ask your consumer insights and market intelligence questions, and then it looks through all of your knowledge, all of your company knowledge, and syndicated sources, and prepares for you a very transparent, sourceable answer. Like, so you can also access it through other business apps such as MS Teams and Google Chat and Slack. So, obviously, this is far from a full product demo, But just as you will be hearing the word DeepSights, throughout today’s conversation, I wanted to give you a quick snapshot of what we will be looking at. And I think that kind of concludes the introduction. So without further ado, I will hand things over to my colleague, Rob, who will go through the REWE partnership. So, Rob, take it away. Thanks, Caroline. So, yeah, before we dive into Mark’s interview, I’d just like to set the context with a bit of background on REWE and our collaboration with them over the past nine years that we’ve been working together. And then I’ll also provide an overview of how they’ve, embedded insights within their organization. So to introduce the REWE group, if you’re based in Europe, you’ve probably more than likely shopped in one of their stores before. But for those joining from other regions, I just thought it might be worth introducing their business in a bit more detail. So the REWE Group is a highly diversified organization with brands like REWE, Penny, and Billa alongside businesses in tourism and trading. So they have over four hundred thousand employees and ninety billion euros in annual revenue. So it’s very large complex organization. And ultimately, in a large organization like REWE, those valuable pieces of insights can sometimes get siloed or overlooked across departments. So our goal with them really is to enable efficient controlled access to insights. So allowing each of those business units, to share key learnings was also maintaining permissions and control where that’s needed. And And now if you cast your eyes over to the right side of this slide, to this rather intimidating image, you’ll see REWE as insights ecosystem. So I’ve actually borrowed this slide from Mark’s onboarding presentation that I’ve seen him done a few times, because I think it perfectly captures some of the challenges, that daily insights professionals face. So every day insights teams receive countless questions with sources coming from all directions. And I think the real challenge lies in either finding the right insights or deciding which of those insights to prioritize, especially when it takes hours to go through all of the information available. And this is a common challenge across all industries. So how do we click click or how do we quickly get the right insights to the right people so that they can then impact business decisions, effectively? And then if we go on to the next slide, I’d just like to highlight the journey that we’ve had with REWE so far. So since twenty fifteen, when they realized they needed a centralized solution to gather and manage their insights securely, we’ve worked together to build a platform where insights are both accessible and easy to share within their business. And then over time, you can see that we’ve completed three major relaunches within REWE, with the platform. So I think these re relaunches are essential because, you know, even with the best tools in place, it’s really important to keep engagement levels high and remind people of the impact that they can have. So in twenty seventeen, we carried out our first relaunch followed by another in twenty twenty. Usually, we would accompany these with a major change to the platform, like a change in UX. I know with the new UX coming out recently, that’s been one, or a new functionality, so something like DeepSights as well. And then this year in twenty twenty four, we began testing DeepSights, and in true REWE fashion. This was very detailed and very thorough review of the tool. I’ll not go into too much detail on this one because, Marc’s gonna talk a bit more, with Caroline on that, and I think he can tell that story much better. And then finally, yeah, I just wanted to talk a bit about how REWE have embedded insights so effectively across their organization, and where the platform really adds value to their business. So So I think all businesses have thousands of questions that they need to answer to improve and adapt their offerings or their products. So for example, a retailer like REWE might wanna know what’s the best price point for a certain product or what range should we have for this category? What promotions should we be running during Christmas? I think that question list is ultimately endless, but we wanna make sure that all of those questions are answered using data, so that the actions taken are grounded in insights. And the first challenge, I think we saw that ecosystem image earlier on. The first challenge is really, these data points and insights are scattered across different locations and different, formats, And it makes it really difficult and really time consuming for teams to find what they need. So it could be in a BI dashboard, in a periodic report sent by your agency, primary research, customer interviews, just to name a few. So what our platform does is, yeah, structures and organizes these insights, making it much quicker and much easier to access the right information quickly. But I think, having having this organized and having insights in a central place is really important. Just having the tool on its own isn’t really gonna change much. And I think the way REWE have gone about engaging their teams with insights and really embedding it into their ways of working is a great example for, any other business as well to learn from. Earlier, we mentioned the relaunches, but ongoing, they do a few key things that I think I wanted to call out today. So along the right here, I’ve just pulled out a few examples. So desk research, but it could be a knowledge zone as well. I’ll give an example here. So say if someone in competitive competitive intelligence wanted to know how are Walmart performing, what’s their strategy for twenty twenty five? REWE’s insights team could collect all of the information they have, all of the content in a desk research or a knowledge zone, and then summarize the key findings from this content to answer the question. That means the user who’s asked the question can then access all of the content, all of the full presentations, and also read those summaries quickly by themselves. And then as an added bonus, if someone else comes along later with a same question, they would find this, you know, fully prepared when they were searching for Walmart within their platform. Newsletters. Secondly, I think REWE uses our newsletter functionality extensively to keep all of their teams updated on the latest trends. I think traditional research can sometimes lag. So you brief an agency, you wait for them to do their research, You book in a time for the presentation, then you present it back. It can sometimes be quite a long time between briefing and actually getting, the final research. But these newsletters really provide timely updates ensuring that insights are shared across the organization, and it allows REWE to adapt, and react really quickly to the latest news that could impact their business. And then reporting. So, personally, I come from an FMCG background, and I know insights teams are bombarded with meet weekly or monthly reports from your agencies. So just organizing and systematically using these reports can be challenging in itself. So often just finding a report from six months ago can be a hassle. So having these reports easily accessible within the platform has been a big benefit. And then finally, Insights since its launch, I think it’s been a bit of a game changer for REWE, how they’re using insights within the business. Once they still use desk research, news, and reporting, and that won’t go away, you know, things like desk research and news are a bit more labor intensive and take a long time to curate, whereas something like DeepSights, makes making data driven decisions much more fast faster and efficient and more effective. But, yeah, Mark’s gonna talk a lot more about that. So, yeah, I’ll leave this part to him. So I think Niall hand over to Mark. He’ll take you through some more of the specifics on REWE’s day to day operations. Alright. Thank you so much for that, Rob. I think that really nicely sets the scene and allows us to segue into our interview with Rob. So I will dismiss this deck here, and I will also dismiss you, Rob, for a little bit. So we will see you back at the q and a. And now I will invite Mark to turn on your microphone. Looks like you’re here with us. I can hear you perfect, Callie. Hi. Alright. So thank you for well, first of all, just taking the time to, join us today. We’re really eager to hear your perspectives. And I know I allowed you to give a short wave up top, but why don’t we start with a proper introduction? So can you just quickly introduce yourself to the audience and explain a little bit about your role at REWE Group? Yes. Thank you, Caroline. Thank you for having me here and, for example, our house. So I’m working twenty one years at REWE Group, and I’m working in, business insights area, and they’re in the department of retail intelligence. And part of our services is knowledge management, and that’s group wide, what we are doing. Alright. So do you mind, going because just every organization is different. So do you mind explaining a little bit about how you would describe REWE’s approach to knowledge management, both historically and now? Yeah. That’s that’s an interesting question because, services that we have to provide to our house generally have to be useful for our colleagues. Sounds easy, but, it is the way it is. We have to ensure on a daily basis that, our services are really a benefit to our colleagues. That is not only a wording. That’s really something we have to provide. There is no top down, order from the board to work or not to work, with something. The best for us is, if a colleague goes to another desk and, tells him about the service and how valuable it is. That is the feedback we need, and that is the feedback we are really growing with. So grassroots is what we are doing. And now, of course, Rob so helpfully, showed us this timeline. You guys have been working with us coming on a decade. So, I think the the rest of this interview will be looking at currently with this deployment of DeepSights, how that is changing things. And how do you think that DeepSights has changed this approach, this grassroots approach to knowledge management, if at all? It has changed dramatically because, when we go a little bit more deeper in the, details of the test that we have with everybody, our colleagues, if they work closer with it, can see the value of the service that DeepSights provides. And looking at the value and knowing how the AI system is working, so the more knowledge or more to learn or to read the software has, the better is the outcome that is changing our approach that colleagues are willing now to broaden our content. We have much more in our house than we have at the moment. So we get more insights uploaded to the hub, and it is very convenience to colleagues if they have a question. Sometimes you get a question, what do we know about sustainability? It’s a very easy question. But, really, honestly, to know what we know about sustainability can take you a day. And, everything that we have uploaded in the knowledge of if you ask the same question in insights, this is changing our way of dealing with our colleagues to serve them, knowledge management. They can ask the question, and they get a answer first to start with. It will never be the the last one. They always have to do and dig more into the information. But the sources they can see and the information we have are immense, and, that saves a lot of time. Yeah. So it sounds like not there’s a higher quantity, but you said that there was also a a greater variety of the type of information being uploaded. Yeah. Yeah. And then, of course, that correlates to just more people asking questions. Before we go into any examples of of what kind of questions people are asking or use cases, how they’re using it, I wanted to back up a little bit because Rob mentioned, something about, how you guys actually tested DeepSights. He said that there was a three month testing period before you guys deployed it. And I think that is something that a lot of enterprises are going through right now, particularly with the procurement process around AI. Everyone does it a little bit differently. So can you, shed some light on what that three month testing period looks like and who was involved? Yeah. I think what I said that every service has to be useful, and we are never buying something that makes no sense for our colleagues in the daily work. We asked them before how satisfied they are with the service without artificial intelligence before we start the service or the test with, our colleagues. So we had, zero measurement of everything. So we had a comparison for our, management to see what change or what impact has the new technology on the, convenience and the daily work of our colleagues. So that’s the most important thing. We have made the same test at the end of the test and asked them after we have, made with everybody. We invited everybody of our users to join the introduction of DeepSights. Not everybody was joining, but everybody was informed. Everybody was insights. And we had really, really good percentage joining the meetings. And now after the work, a lot of colleagues are talking about this, introduction meetings that we have. They told it to the meetings, and now we are invited to a lot of areas and departments to show more insights. So that’s the way we have done it. Invite everybody Mhmm. So that’s the way we have done it. Invite everybody. Mhmm. And, was a lot of work every every day the same together with Rob, but, it has it makes makes a lot of sense. Yeah. That’s really interesting because I know a lot of other organizations would choose more to have a, kind of a closed door, task force, a very a small, kind of pilot group. But you guys opened it up to everyone who was interested, and that it seems like it helps with the word-of-mouth and the engagement pickup. Yeah. It was it was the the content question that we have answered with the all the users, to get the feedback. If it gives the answer or not, this was the main question of the management. Is it helping, or is it just hallucinating something that, you don’t want to have? And the second test that we have made with a handful of absolutely experts was with data scientists to check the software because that’s also the way REWE is. We want to know first if everything is fine, then we use it. Yeah. Well, I think that leads nicely into my next question because, of course, I mean, you’ve been working in insights in a long time, but, it is ultimately about proving, the usefulness of what you’re doing to other departments and, other people within the diversity of the REWE Group, company, or house. So I’m wondering, are there any sort of initial anecdotes or use cases that you can share? You said that you have been getting feedback, about people using, this new feature in the knowledge hub, and I’m wondering if there’s any that have really stuck out to you. I I really thought about it to make a lot of funny interesting in what the people taught me about. Honestly, Caroline, one was and now I’m a big fan of DeepSights and the knowledge hub that was brought, a very simple one. They say it makes sense. It helps. I can find information that I’ve never seen. We have the same experience. Because as Rob said in the beginning, we have a huge ecosystem supporting us, but nobody of us in the insights team is able to answer every question that is possible to be answered with the content that we have already in house. So DeepSights helps us to read sources that you get monthly things of one hundred and sixty, two hundred pages. We are not able to read it. Mhmm. But we had really, really interesting, meetings where colleagues found exactly what they were looking for in that, document. And these documents are white listed. They are proof. That’s also important. They don’t have to worry. It it is it is a good source. And if you get a answer there, you can imagine, yeah, even faster than before because you don’t have to ask colleagues or get into the, challenge round in the house. You will get in our house very fast. This source is not okay. So you’re really fast. What are some examples of the different departments that you have have been, doing these introductions of deep insights and the knowledge hub to? What do you mean? Like, what different departments are you gathering this feedback from? Mainly at the moment, we have the buying departments, that are looking at it. Marketing is also, going more and more to it. But they use also, like Rob said, insights is one part of the feature. They, via DeepSights, they saw their other features they can use for their reportings and all these kind of things. But to ask questions, that’s something that the buying departments really like. Yeah. Yeah. I think that’s interesting that there’s some cases where DeepSights connect as sort of a backdoor where then they start using some features of the knowledge hub that have maybe been there for years at this point. But it just takes us to one yeah. Yeah. Great. So I think we’ve, just the two of us have discussed this at length. But, a lot of, your job now seems to be about the driving the adoption of these new tools, which, can always be, a bit of a slog at the enterprise level. So, I’m wondering, what your perspective is about this, how you’re driving the adoption of DeepSights in a way that might be different than you have drive the driven the adoption of tools historically, and what systems REWE Group has in place for getting people engaged? Well, we have a monthly introduction that we we provide to all new users. That is a service that we have seen is very useful. In this monthly introduction meeting, we have had, the honor to have also Rob helping us, to introduce, DeepSights. What we also do is private, introductions that we have people on a daily work really to solve court cases. They come to us. They have a specific case, and they want to see how to solve it. What is happening that our area is like a multiplier and other experts that we have, like, on a daily basis, if you have a question and there are daily questions in every meeting, there is not a single meeting where it’s not even one question. You can be or I can be a little bit annoying, and I’m I think, okay. That’s my job. I have to do it because I can’t stand it. I always ask the question into DeepSights and put it to the to the Teams chats because I say, voila, here’s the insights. So don’t waste your time and just check it. But, honestly, it’s, it’s a hard work because at the end, you don’t want to be annoying and you don’t want to be, a pain for for your colleagues. You want just to help. But this is really difficult because it takes time. The change works, the adoption of technologies, and what we also do is to think with you together that, colleagues need also time to digest. And then step by step, you can improve more. Yeah. And I think especially with AI, there’s an extra layer of just general hesitation around a little bit of of trepidation or fear almost. So it’s there there probably is a lot of, your job that has become sort of a reassuring people that it’s okay to to use this tool and that, these are, at the end of the day, the same trusted insights that you would get if you asked a colleague directly. Insights. So I have, two more questions here, and, I’m seeing some questions come in in the chat. So please send them through for either Rob or Mark, as we wrap things up here. But we mentioned a little bit earlier that, you have been working a little bit with, the buying department or the marketing department. I know that this type of platform also implicates IT. I’m wondering how, this deployment has changed your collaboration with other departments. It’s, thanks, Scott. We have support from from all the, IT departments, from IT security, data security, legal departments, Gen AI specialists, whatever you want. It is always with a very close eye to the danger of the eye to the software itself is what you said is, we are not blind that AI is something that you need to be careful with or that you need to have a very specific eye on. But, what our house is doing and all colleagues that I’m and we are working with is supporting us to understand how it works, to make the best out of it for the company in in the rules and all the framework that we have already. The framework is, let’s say, already there. Some are already growing or, built around us. I had today, I think, two meetings regarding these, and it is it is very supportive, honestly, because people say it will not go away. So why to why to fight against it? Probably insights, you need to convince the colleagues, but in general, we are really have, a lot of support in the whole house. Yeah. That’s great to hear. And I think that, leads into my final question here because, yeah, we got into the granular details of the deployment, but now I just wanna look a little bit into the future. And I’m wondering what your personal perspectives are on, how the future of this, you know, scaling of AI deployment will change, the strategic role of the insights teams within an organization? If you can just imagine three years ago what your or three years from now, what your team might look like. What can you expect? As I said, we think it will not disappear. That’s, probably there’s somebody for good reasons. We will never never really be against hesitations of colleagues that they think AI is not a good thing. So we have to really to listen, and we have to convince them and give them security. And if we don’t give the security insights, we have to do our work better. That’s that’s really fits to the grassroots, where we are doing the business. But at the end, we are really trying to convince the colleagues, don’t be scared for your job. Don’t think that you lose control or yet that you will be overlooked because the technology just gives you a lot of tools that you never had before. Maybe they look magic, but, they’re just tools to to make your daily work better. As, as a matter of fact, we have to embrace the the potential of AI. That’s what we would like to do. I think if you see already now to our daily work, you can. It’s not a it is not happening automatically, but you get more visibility in the organization because you are able to support colleagues faster. We are facilitating a lot of things for our colleagues, the econnect, system that we are supporting. And that’s something that we have. We just make use out of it. And the AI, like Rob said, you have a research. A colleague asked six months later, you get this combined with RSS feed comments. We cannot do it better. But, at the end, a lot of work has to be done by us. Judgment and human intelligence is still very important, so we will not be, I don’t see us, not necessary. What we are doing at the moment is we are looking at, like, treasures that we had before, and we were not able to to to help our colleagues with. Mhmm. And that’s and we don’t have the capacity for all the questions that they have, and we don’t want that they are asking all these questions in external sources. Mhmm. We want to internalize them because you don’t want to have another company knowing what you’re thinking. No? Yeah. Yeah. I think, making sure people don’t go to Google to ask these types of questions, I think that’s sometimes easier said than done, but this is a perfect Yeah. It looks and functions the same way Google does, so it should be a very easy thing to trans Yeah. Transfer over. And I also think that’s a very nice observation that you made that, you know, people are nervous. And not just in the insights team, but just people in general are nervous that AI is coming for for Yeah. For their job. You know, that’s a Yeah. Refrain we’ve heard. But, in fact, what you’re seeing is the opposite where, the deployment of this AI is granting your team greater visibility, across the enterprise. So I think that is I mean, it’s still very early days, and we will, of course, be continuing these types of conversations. But I think that’s a a really positive, initial observation. So, yeah, thank you for sharing. Let’s, bring Rob back here, if I can find him, and we can move into the, q and a portion. So if you haven’t asked your question yet, Rob, I just invited you back on stage. For either Rob or Mark, I have a few questions here. And I think first let’s just go to Mark since, this is something you mentioned. So this is a question from Sophie. You mentioned you upload docs that are white listed. How do you do that? Basically, what is the process for uploading docs into the system? Do you check them yourselves? Do you check them with AI, or is there another process that you go through? That’s interesting question. Thank you for that. It is human intelligence that is checking it because we are really checking it still. The sources that are normally on a daily basis available to us, to the insights teams are more, I would say, whitelisted. There are really some that we know that we don’t want for methodology reasons, for whatever reason, and it is decided by the experts that we have dedicated in the house. And, there is, let’s say, it is called house of rules. We have rules behind it that you know what is good, what is bad, what we are working with. In meetings, we we explain it, so it is really secure. The RSS feeds are decided by us together with MarketLogic, and the areas are telling us what they like. And it’s a little bit our daily business that we know if a source is good or not. At the end, it’s also technical question if it is available or not. But, it is human intelligence at the end that is deciding yes or no. Yeah. We’re not at the stage yet where we’re completely hands off. There is still a lot of, you know, working together with this platform, and we require the expertise of of insights teams to still do that. Yeah. Yeah. And then, of course, what you were saying at the end there, the secondary sources, again, referencing back that big, that picture of all the ecosystem of sources. Some of those are the the the sources themselves are preapproved and then auto added to the the platform as they are published. Okay. I have a question. This yeah. This, can be I I mean, for either, Rob or Mark, but let’s start with Mark. Actually, let’s go to Rob for this one, because you, work with Revit Group, but then some other customers as well. So, obviously, Insights has, is purpose built for insights, but, there are a lot of Gen AI tools on the market. So, in as short a spiel as possible, what do you think differentiates DeepSights from other Gen AI, models, that are being sold to enterprises now. Yeah. I think I think that’s one of the challenges we hear when we talk to our customers, that there’s so much noise around AI at the moment. And it’s hard to sort of see the value in each one of those tools. And some people are just closing their ears to it. But I think Insights is quite a simple one once you show it to people that, you know, it’s a much faster way to gather insights from thousands of different sources and get one really simple consolidated answer, but that you can go and verify all of the sources, which are already kind of verified by your business anyway, but you can go in further into deep dive in within those. So, yeah, really, it’s connecting the dots with trusted sources that you can rely on. Mhmm. No hallucinations. Let’s go back to Mark because I had a question that is a follow-up, technically on one of the questions I asked earlier. So as you were testing DeepSights and you opened it up to, everyone in the group, you said that you measured basically, or you had them self report feedback or whether whether the tool was useful, basically, how how it compared to the knowledge hub before DeepSights and after DeepSights . So were there specific kind of variables that you were measuring for, or was it more just a qualitative feedback ground that you were doing? It was qualitative. Yeah. The NPS at the end was not, but, we asked them really questions like, how are you able to work with documents? Do you get access to everything? Do you have every source internally? Do you have every source externally? And at the end, if you don’t have, the knowledge of how your work will look like and that we have done, they didn’t know that we are going to make this test. We asked them before and then after the test. So they, then we had a very good good feedback on that. Mhmm. And slightly related to that, Rob, can you explain, what was MarketLogic’s role in this testing period? Like, how did they support and how does that change after, you know, full deployment? Yeah. I think, we would have regular touch points with Mark and his team to review the questions coming in by the users, just to sort of understand what people are searching for and checking, are they using it right? Because a lot of times, people are still doing, like, one word questions, which is not what it’s hoped for. So sometimes it was reaching out and being just sort of guiding people on how to use it in terms of best practice. But then also closely working with that AI team. So I think for me, that was one thing I really loved about that testing period. It felt really collaborative. Yeah. And it was really open between both of us. So Yeah. They were coming back to us with feedback saying, did you know you could do this, or have you thought about doing it that way? And it felt like we were working together to build, you know, a product that’s gonna be best fit for REWE. So I think for me, that was, like, a really nice experience. Yeah. Yeah. I think that that’s important to highlight. You know, this really is a partnership. And, you know, it’s been, as we said, nearly ten years now, and we’re still taking feedback from REWE and and integrating it. So, yeah, really looking forward to how that will evolve. And, of course, you know, this is a this is a fairly recent deployment. And I think, hopefully we can sit back down in six months time or something and have, an update with even, more observations and and feedback to share. But, I think it’s great that you have such widespread support, for this type of initiative. It’s it’s sometimes hard for for knowledge and insights teams to, you know, get this rollout. And I think you guys are a great example of, how to do it in a very grassroots and effective way. So we only have a few minutes left. If there are any last questions, you can submit them now. Otherwise, I will move into the, conclusion part of the event. So, first of all, let me jump ahead. So thank you, Mark and Robert, for sharing your perspectives. This was, again, really, really interesting. I love getting the chance to sit down with customers and hear their perspective because, you know, every every company is doing things a little bit differently when it comes to AI, and I think REWE has a particularly interesting story to tell. So let me just wrap up here. There are a few things that I just wanna plug quickly for anyone in the audience. Next week, we will be sitting down for a panel, just with some other brands on what is the barrier to to keeping insights from being used. Obviously, AI is starting to change that, but historically, there have been a lot of brands who make very important decisions about their products, or their customers, on just instinct or educated guesses with without going to the insights teams, which is a problem that we’ve been trying to solve for for years and years. So that is, registration is open and free. You can find a link there in the links tab. And then then the last thing is I just wanted to direct you to a recent case study we did with our friends at Novartis, walking through how they have integrated DeepSights. And, again, it’s the same product, but it looks completely different. So, if you wanna just read more about it and there’s just a lot of good takeaways about, how, colleagues and other departments are reacting to DeepSights being embedded in their company in this way. So I think, that wraps things up. Letting everyone go a few minutes early. So, again, thank you, Rob and Mark. This was really interesting, and I look forward to continuing these conversations in the future. So thank you everyone for joining us, and we hope to see you at a future event. Bye bye. Thank you. Bye bye.