TDM S3 Ep10 - Qlik Connect 2025 with Mike Capone - Navigating the Agentic Revolution

1 - > Brian Booden: Your regular fix of the best guests from the 2 - > world of data and analytics. 3 - > This is the data mix with Brian Booden and George Peter. 4 - > Hey everyone, and welcome to yet another episode of the data 5 - > mix, and we are here in Orlando, florida, at Qlik Connect with 6 - > Qlik CEO Mike Capone. 7 - > I feel like I should say hello, even though I've seen you 8 - > several times already today.

9 - > Mike Capone: Let's do it for the audience. 10 - > Brian Booden: Let's do it and the floor. 11 - > Mike, let's start with the floor. 12 - > Mike Capone: How are you?

13 - > Brian Booden: feeling about this whole vibe? 14 - > It feels so nice and tight and compact and everyone's getting 15 - > to know each other well. 16 - > So how are you? 17 - > You feeling about all that?

18 - > Mike Capone: Yeah, I feel great. 19 - > Look, you called it Like we got the exact right-side space. 20 - > The energy is great. 21 - > You can feel it Like I feel it standing here.

22 - > You know the energy. 23 - > I walked the floor earlier, said hello to all the exhibitors 24 - > and everything and they're thrilled, they're thrilled, it's 25 - > like coming off really well they're, and our keynote this 26 - > morning went well, so it's feeding into the excitement here 27 - > , so all great. 28 - > Brian Booden: Well, we'll get on to the keynote in a second, but 29 - > I think that warm feeling definitely is present. 30 - > I feel that and not just the physical aspect right, there's a 31 - > lot of energy in the room and it's always great to see.

32 - > It's one of the best things about being at Connect. 33 - > But moving on to the keynote, wow, what a reception for that 34 - > this morning. 35 - > It was quite something to be a part of that, and when the 36 - > ripples of applause come out, it never gets old. 37 - > So, like for those of us who maybe didn't see the live like 38 - > what went on this morning, what were some of the major 39 - > announcements that happened here at connect?

40 - > Mike Capone: yeah, well, the good news is we did record it so 41 - > it'll eventually be available for replay. 42 - > So I do encourage people who are interested to go to go watch 43 - > it. 44 - > Um, but look, I mean there's a couple of One is just us 45 - > explaining how we see the world right, and the way we see the 46 - > world is maybe different than others see the world. 47 - > Everyone's talking about agents like, yay, agents right.

48 - > But the reality is, agents don't work unless you have 49 - > really good data, really good analytics underpinning them. 50 - > And so just resetting everybody to say, look, yeah we understand 51 - > , but you know, like you got to get the data right and then just 52 - > jumping into our new product now, which we're really excited 53 - > about, one was our agentic framework, which is different 54 - > than others, like you know, like it's great. 55 - > Some application providers are talking about, you know, making 56 - > restaurant reservations.

57 - > That's not what we're talking about. 58 - > We're talking about, like end to end agentic capabilities 59 - > across our entire platform. 60 - > That platform, data integration , data governance, data quality 61 - > and analytics. 62 - > And the second was Quick Open Lakehouse, so the ability to 63 - > actually harness iceberg tech capabilities and really deliver 64 - > AI at a better cost point.

65 - > Brian Booden: Yeah, yeah, and both of those things are really 66 - > important. 67 - > I think it's really important to reference that word agentic 68 - > again. 69 - > It's a bit like we talked about AI in depth with the AI Council 70 - > here last year. 71 - > Agentic is the word of the year this year but, like you said, 72 - > it means something different for Qlik and I think a lot of 73 - > people were hoping, coming into the conference, that we would 74 - > hear about that magical join between structured and 75 - > unstructured and true to form.

76 - > And I guess that's more what a Genentech means from Qlik's 77 - > perspective. 78 - > Right, it's really tying those things together to make them a 79 - > seamless experience. 80 - > So just talk a little bit about that for me, about how that 81 - > process has been for you and how it's gone. 82 - > Mike Capone: It's always been the vision right, so thank you 83 - > for bringing it up, because it is a big part of our story.

84 - > And again it starts with agents don't work unless you've got 85 - > good data. 86 - > And where are you going to get good data? 87 - > And we've had quick answers in the market the unstructured data 88 - > product for quite some time now , but now we've announced the 89 - > ability to leverage structured and unstructured data together 90 - > and we demoed some really good examples of that, like, for 91 - > example, taking structured data your order management system, 92 - > taking unstructured from your social feeds, et cetera.

93 - > Putting that together to make smarter decisions and trigger 94 - > agents. 95 - > That's really, really important , and you can do that now across 96 - > the entire platform. 97 - > So we think we've got something incredibly unique in the market 98 - > , and what you're seeing and hearing from the people that 99 - > you're talking to, ryan, is just that excitement. 100 - > Brian Booden: And I think that word seamless really strikes me 101 - > because before, when you've acquired and you've integrated 102 - > and you've white labeled, you've done that like super 103 - > efficiently and you've been very good with like promising and 104 - > delivering.

105 - > And it feels again with that click answers we've got a 106 - > massive head start with having a lot of that platform from a 107 - > physical perspective in place. 108 - > So I was really excited to see some of the behind the scenes 109 - > stuff yesterday in terms of dropping an app into that 110 - > Answers framework and all of a sudden being able to see that 111 - > structured and unstructured base together. 112 - > I think it's something that's really exciting. 113 - > And I think the last thing I'll just mention on that is that it 114 - > was super cool that you're utilizing the existing Answers 115 - > framework, so it's not like learning a new thing, it's just 116 - > a native progression of what's going on.

117 - > So you must work a lot on that stuff right and making sure it's 118 - > a seamless experience rather than just new functionality for 119 - > the market and for the sake of it and for the analysts. 120 - > Mike Capone: No completely and look, it's actually it's a 121 - > religion for us, right? 122 - > We don't buy a capability or a company unless we know how we're 123 - > going to integrate it and make it seamless in our platform. 124 - > It's really, really important to us to be able to do that and 125 - > it's funny.

126 - > I was just with an analyst from right before here and they were 127 - > complimenting us and said well, we've never seen a company so 128 - > fervent about making sure that the acquisitions become seamless 129 - > and part of your platform and then sticking to it. 130 - > Everybody says they're going to do it, but then things get hard 131 - > and they give up and they stop and it ends up being this thing 132 - > over here and we don't, and so you're. 133 - > You know, kindy was a great example of us being able to do 134 - > that up.

135 - > Solver, which we acquired in january, is going to be another 136 - > example of us really doing that, and that's the reason we don't 137 - > launch the product until ready. 138 - > Brian Booden: So you know we'll say like it's not till july, but 139 - > that's because we're going to finish making it native to our 140 - > platform I think that having that native experience is a 141 - > massive thing, and I think, again, you do a terrific job of 142 - > telling us about the logo that you've acquired and then giving 143 - > us something that we can see that just feels like Qlik, and I 144 - > think that's the big thing, right, it feels like Qlik, I 145 - > mean, and in terms of that other announcement that you talked 146 - > about, like Upsolver Iceberg these might be words that feel 147 - > slightly alien to some of the analytics market because it's a 148 - > bit.

149 - > The architecture is deeper and what it does is faster, but some 150 - > of the figures that were quoted on there in terms of, like you 151 - > know, the performance impact and that type of thing, tell us a 152 - > little bit about that, because that middle layer is incredibly 153 - > important to what Qlik sees. 154 - > It's incredibly the future right it's incredibly important. 155 - > Mike Capone: And, look, one of the things that's happening 156 - > right now, as you all know, is AI is getting expensive, right?

157 - > I think companies are. 158 - > Companies are starting to see the 12 months worth of bills 159 - > trying to build out their AI infrastructure and they're 160 - > saying, wow, this is unsustainable, yeah, and so we 161 - > have to find the right technology for the right, the 162 - > right use cases, and so you know Iceberg, you know Apache, 163 - > iceberg, and then you know that that kind of open source format 164 - > is a great way to leverage a lower cost of basically storage 165 - > to be able to actually store data and have it accessible for 166 - > AI at increasing high volume.

167 - > So we used to talk about being our data integration platform, 168 - > doing 17 million rows a second, and we thought that was great. 169 - > Now we can do hundreds of millions of rows a second. 170 - > We can stream data off of mobile devices. 171 - > We can do things.

172 - > Where are you gonna to store that? 173 - > Well, you can't store it in a database. 174 - > It's crazy, right? 175 - > So a great way to do that is Iceberg, and more and more, 176 - > we're also seeing this fight for independence.

177 - > So sometimes departments now want to build their own data 178 - > pipelines. 179 - > They don't want to wait for IT to go do it, and so the ability 180 - > to actually like with ClickTile and Cloud, to be able to set up 181 - > an AI data pipeline, sort it in like an iceberg like format and 182 - > then use ClickTile on the top of it. 183 - > Like enables them really really quickly, exactly. 184 - > Brian Booden: And I think Like hearing the keynote.

185 - > I think a lot of people are very keen to adapt their 186 - > schedules now to understand a bit more about how all that flow 187 - > works, with the whole agentic side and upsolver, but I think 188 - > the buzz in the room was terrific this morning, so 189 - > congrats on that. 190 - > That was really great. 191 - > In terms of the way that we incorporate that into the 192 - > packaging, mike, I think that's the question that's on other 193 - > people's lips as well. 194 - > We've now heard the announcements and we've 195 - > obviously just been through a bit of a process with capacity 196 - > and then adding other things into the packaging.

197 - > So how do you see that from a kind of holistic view then, how 198 - > that's all going to like hang together? 199 - > Mike Capone: Yeah, like we want transparency, right. 200 - > So we want customers to really understand what they're paying 201 - > for and never pay for something they're not using, right? 202 - > And that's really what capacity pricing is about is getting 203 - > customers to a place where you pay for what you use and if you 204 - > need more, then you can go get more, but you can also choose to 205 - > control it in a way, and we give you all the tools to 206 - > control it.

207 - > So we are super transparent about how we're going to price 208 - > and package things, and the nice thing is, as you know, our 209 - > products work together really, really well, but we're 210 - > completely open, right? 211 - > So if you, if you choose to use our data platform but not our 212 - > analytics platform, totally fine . 213 - > The opposite is totally fine as well, and our pricing reflects 214 - > that. 215 - > Brian Booden: Yeah, and I think it's required in the market 216 - > nowadays as more component parts are added, People need to be 217 - > able to buy that package sort of .

218 - > That package, sort of formula I think is coming back to the 219 - > market an awful lot now to buy that package sort of formula, I 220 - > think is coming back to the market an awful lot now. 221 - > First it was subscription, now it's packaging. 222 - > People don't want to have to go out and understand what all 223 - > these disparate parts are. 224 - > They just want to be able to click and go.

225 - > If you'll pardon the pun, but I think the combination of the 226 - > packaging and the add-ons are quite strategic. 227 - > Now I think we see less of them , but they provide a lot of 228 - > value when you put them right. 229 - > So, again, what's the process been like for that in terms of 230 - > working that out, what it was in packaging? 231 - > Mike Capone: Yeah, well, we talk to our customers, right?

232 - > So we say how would you buy? 233 - > We have an executive advisory board, they're here, they're 234 - > actually meeting right now. 235 - > And when we roll out one of these big initiatives, or when 236 - > we're even trying to our customers and say, look, you 237 - > know, do you want to bundle it, do you think it'd be better to 238 - > buy individually? 239 - > And if we bundle it, like, what would it look like and how much 240 - > you're willing to pay?

241 - > And then that informs what we, what we do, like look, talent 242 - > Cloud is a great example where, like, for a while, we sold data 243 - > integration and data governance separately. 244 - > But customers started to say, look, it's one thing to us, 245 - > right, like, I don't want to actually buy a data integration 246 - > tool, like you know, um, you know, which was a formerly a 247 - > tunerty, right, uh, but now split the integration and and 248 - > get a governance.

249 - > Brian Booden: like, just give me one bundle yeah, that's what we 250 - > do yeah and the feedback loop, for that is super important as 251 - > well. 252 - > You mentioned the customers, but again, I know obviously from 253 - > first hand you have a very, very strong partner community 254 - > that way. 255 - > I mean we'll talk about those groups in a little bit but yeah, 256 - > like the partner community has a real influence on what you do, 257 - > right? 258 - > And I know of several occasions where feedback has been given 259 - > and feedback has been acted on, shall we say, and I sat down 260 - > with Drew last night and we just sat and chatted and the thing 261 - > that I really liked about it is the open and inclusive culture 262 - > that Click has, that I can do this with you and you know, 263 - > brian is not here today unfortunately, but you know, but 264 - > I think the Qlik leadership are really open, so that's the 265 - > thing that you're still keeping top of mind, right, all the time 266 - > .

267 - > Mike Capone: Yeah, we have multiple levels of feedback. 268 - > You sit in on some of the ambassador meeting. 269 - > Luminaries is another great one . 270 - > You know we have all these, like all these enthusiastic 271 - > customers and partners, but also very vocal, we choose them that 272 - > way intentionally.

273 - > We want the ones that are going to speak up. 274 - > We don't want the ones that say , oh, we love Click, yeah, I 275 - > love Click, but here's what I need. 276 - > You saw it today, by the way, time series Right back. 277 - > How long have you guys been telling us about that?

278 - > Here it is. 279 - > We do listen to customers. 280 - > It's not always fun, but it works, and I think today you're 281 - > seeing a lot of the results of that. 282 - > Brian Booden: I think that like the levels of that with the 283 - > advisory board as well, all feed it into each other and I think 284 - > it's it'd be remiss not to mention again the external input 285 - > as well, like we talk about the ai council, which is a big 286 - > announcement last year and that has carried on at pace.

287 - > So tell us a little bit about how all that has continued to 288 - > move and conjunct, because there's a lot of moving parts 289 - > here, right moving parts, yeah, yeah. 290 - > Mike Capone: So I mean you talk about our executive advisory 291 - > board, luminaries, partner ambassadors, and then we do have 292 - > an AI Council. 293 - > Nice thing about that is it's completely non-business focus, 294 - > right. 295 - > So, though, that group of people that come from academia, 296 - > they come from government, then they're you know, they're a 297 - > little bit of our conscience I talk about this all the time 298 - > that there is a moral obligation that comes with building.

299 - > AI and doing it responsibly and it's not just a capitalist 300 - > exercise and early on we recognized that we wanted to be 301 - > best in class at that component of it. 302 - > But down in Sweden we really believe in doing the right thing 303 - > for society and so we formed this AI council a couple of 304 - > years ago and it's become part of our heart like really deep 305 - > embedded in Click. 306 - > Brian Booden: They're all here now. 307 - > Mike Capone: And what they do is they tell us, like, here's how 308 - > you should be thinking about AI, here's how government 309 - > regulation is going to unfold, here's how society is thinking 310 - > about it.

311 - > And then you know, here's how you think about building your 312 - > products to make sure that you account for this. 313 - > So they've been great. 314 - > We're going to continue doing it and you know, if people are 315 - > really interested, you know we do all kinds of webcasts and 316 - > things like that with them, so we have to publicize that as 317 - > well. 318 - > Brian Booden: I think it's a stamp of authority on the market 319 - > as well.

320 - > The position, the way that you are having that external body is 321 - > like super important to be able to show to your customers like 322 - > we're taking this whole thing seriously. 323 - > That's right. 324 - > You talk agentic, you talk AI again, lots of words to a lot of 325 - > people, but having that sort of external input is really, 326 - > really important. 327 - > Mike Capone: So we don't, we don't know it all, like we're 328 - > not that arrogant that we know everything.

329 - > Brian Booden: No, I get that, and I think one of the other big 330 - > things from last year again was obviously we'd moved on a 331 - > little bit from the talent acquisition, and there's a word 332 - > that came up again today that piqued my interest again, and 333 - > that was trust. 334 - > So again, this was a big topic on stage today trust scoring and 335 - > having that sort of dynamic metadata layer and pushing it 336 - > much further down the stack so that trust scoring becomes an 337 - > intrinsic part of the way that you work.

338 - > It's not an optional tick box exercise anymore. 339 - > So what have you seen in the market that's prompted you to 340 - > really deep dive on that side of things? 341 - > Mike Capone: Well, everybody's jumping in the deep end of the 342 - > pool, so Gentic is the latest, and then everybody just starts 343 - > building stuff, and here we go again, and the thing is, agents 344 - > aren't going to be any good unless your data is good, unless 345 - > you can trust your data.

346 - > And so everything we talked about is, yeah, ai is going to 347 - > be great, but make sure what you feed it is great, right, and so 348 - > our trust score is a way for us to interrogate data and tell 349 - > you, yeah, like this data is consistent enough, it's 350 - > comprehensive enough to be able to use in your AI models. 351 - > And then the agentic framework, the reason our agentic 352 - > framework is important. 353 - > A lot of application providers are talking about agentic right, 354 - > but okay, that's your static data in your CRM system or your 355 - > IT service system.

356 - > What we're talking about is all these data pipelines that you 357 - > build, having agents sit on top of them, monitoring the quality 358 - > and consistency of that data. 359 - > Data is going to data. 360 - > Data's gonna drip, something's gonna happen. 361 - > You wanna intercept and intervene when there's a change 362 - > in your data stream that's kicking off all these agents or 363 - > doing all this kind of automation, and understand that 364 - > real?

365 - > Brian Booden: time. 366 - > Mike Capone: That's why the agents have to work across the 367 - > entire platform. 368 - > Just having an agent on your CRM system. 369 - > It's not that compelling, sorry .

370 - > Brian Booden: Yeah, I think another thing that I took out 371 - > this morning was the conditional rules, part of that as well and 372 - > the agents being able to sort of assess those rules, pass the 373 - > trust score, then pass it up the chain, and I think this is 374 - > something that is pretty revolutionary when you think 375 - > about the amount of people that are usually in that role of 376 - > satisfying that data, hitting the quality level, promoting it, 377 - > authorizing it To be able to rule set.

378 - > That, I think, is a. 379 - > Is that something that's been like on your mind as a company 380 - > for? 381 - > a while since, and I'm guessing since before the talent 382 - > acquisition that was one of the main baselines for going there 383 - > right. 384 - > Mike Capone: Honestly, like when I joined Qlik in 2018, you 385 - > probably remember well this was the vision we set out to do.

386 - > You don't do 14 acquisitions in seven years unless you have a 387 - > vision for what you want to be, and it really was like building 388 - > this end to end trusted data platform, where you had data 389 - > integration governance, quality transformation, AI, all in the 390 - > same platform. 391 - > So that's what we built. 392 - > Yeah, it's taken us some time and not everything was available 393 - > when we wanted it to be available, so we had to kind of 394 - > build, but we knew this moment was coming.

395 - > Yes so why not get out in front of it? 396 - > And we think what we've ended up with is something unique. 397 - > I mean, look at some of the newer stuff we've done around 398 - > structured and unstructured data , as well as what we're now 399 - > doing with Iceberg. 400 - > I think we're ahead.

401 - > Brian Booden: Yeah. 402 - > Mike Capone: Yeah. 403 - > Brian Booden: And again, you said end-to-end there and I find 404 - > that fascinating, just because Trust Score started pretty deep. 405 - > So actually, to travel up the stack, I think some people are 406 - > asking questions about like traveling up the stack, so that 407 - > when you get to your analytics experience, is that gonna travel 408 - > up the stack?

409 - > So there's the open question for you Do you see that idea of 410 - > Trust Score moving all the way through, first of all to 411 - > analytics visualization, maybe out the other end, automation 412 - > and agentic as well to? 413 - > Just be able to push everything , trust everything. 414 - > Mike Capone: That you're using. 415 - > There's no reason why we can't uh, absolutely take that across 416 - > the platform.

417 - > We started with. 418 - > The demand was around ai and data quality, data pipelines, 419 - > but certainly going up to the stack analytics it's going to be 420 - > important. 421 - > Brian Booden: I'm sure that's somewhere in the roadmap yeah, I 422 - > mean that's pretty cool and like having a sneak peek at the 423 - > whole agentic thing that's happening at the front end of 424 - > that is really exciting as well. 425 - > So like there's obviously lots of announcements, lots of 426 - > technical excitement as well.

427 - > But switching gears, just to finish off here, I wanted I 428 - > always like to talk to you about community, right and I always 429 - > like to talk to you about the people, um, both inside and 430 - > outside of quick. 431 - > So you obviously have some incredible teams that have been 432 - > pushing all of these things internally. 433 - > Yeah, but again a word for like all the oh well, too many 434 - > groups to mention like the mvps, the partner ambassadors, the 435 - > social ambassadors, any other that you can think of it's.

436 - > It's been a crazy ride in terms of the amount of people that 437 - > are just so locked in to click in terms of, like, that's their 438 - > thing well, yeah, and what? 439 - > Mike Capone: what amazes me is that you know people like you, 440 - > like you, like you move around, but you stay loyal to. 441 - > Click right, there's so many people here that, oh, he was 442 - > Clicking. 443 - > My last company was Click.

444 - > I brought Click to my new company and you know, unlike 445 - > other companies, it's like, all right, you're a company ABC and 446 - > you go to the Tableau user conference because they use 447 - > Tableau. 448 - > Then you're a committee xyz. 449 - > You go to the power bi. 450 - > You know the microsoft, like it's not that way, like here, 451 - > it's like, no, I'm click.

452 - > Like I define myself as a bi ai , that person by using click, so 453 - > that that to me is super important. 454 - > Um, and then look the other people I thank, obviously are my 455 - > , our employees, right? 456 - > Um, you know my team. 457 - > Most of them have been with me since the beginning and there's 458 - > an amazing team underneath those people.

459 - > Yeah, um, and they've done all this right. 460 - > I, I had very little to do with it. 461 - > I give them a little bit of a direction and then drop to the 462 - > races and so I, I, it is great. 463 - > You know we're small but mighty you know yeah yeah, we have yeah 464 - > , we have 3 000 people in the company.

465 - > Brian Booden: We work really hard, but this is the reward we 466 - > get to see all this I think there's an immense sense of 467 - > pride there, but also people are very, very humble. 468 - > When I speak to someone internally in Qlik, they always 469 - > know exactly what their piece in the puzzle is yeah and I think 470 - > that's a really nice thing to be a part of as well. 471 - > I mean, obviously, being part of the partner ambassador 472 - > ecosystem is an incredible thing to come back that year to year.

473 - > But the other thing I wanted to mention this year, something I 474 - > particularly noticed if I you can't see on the board here, but 475 - > some of the media partners that here we've got, like data 476 - > voyagers, drinks and data only on tech field day, like the 477 - > traversal across these groups, everyone is really knows each 478 - > other and really everyone and sometimes you just get people 479 - > just coming in right and being. 480 - > Alice, but it feels different.

481 - > Yeah right, how do you think that's matured over the years, 482 - > because to me it feels different , having become part of that 483 - > group more recently than some of these guys. 484 - > Mike Capone: It's part of the connected fabric, right? 485 - > It's funny Click is a way of bringing disparate people. 486 - > It's just like we bring disparate data together and make 487 - > sense of it.

488 - > We draw interest from disparate constituencies, disparate 489 - > groups and what you see is you know you've got long-time people 490 - > solving big corporate, hairy problems. 491 - > But look at, like looking over there, like the impact. 492 - > We've got our social responsibility unit and stuff 493 - > with the UN on climate change and human trafficking. 494 - > And like it's just a beautiful cross-section of interest from 495 - > different groups that comes together.

496 - > And you know, here we are in the media zone and you can see 497 - > the diversity here. 498 - > It's great, it's one. 499 - > I mean I'm just very lucky, I'm just very lucky to be CEO of 500 - > this company and have this kind of community. 501 - > Brian Booden: Yeah, I mean, I totally do feel that.

502 - > And you say the word community. 503 - > There must have been lots of things that happened over the 504 - > last year that have made you super proud in terms of the 505 - > wider community, but also initiatives like Click Cares 506 - > have come around as well, and I'm yet to speak to Julie, but 507 - > I'm hoping to grab some time with her. 508 - > You must, be like again, immensely proud of the way that 509 - > these programs don't just stand still but they evolve. 510 - > That's right, Right and again, that must be a conscious 511 - > decision and internal push to make sure that those things get 512 - > the time and effort that they deserve.

513 - > Mike Capone: Right, yeah, well for sure, look, I mean. 514 - > One thing I'll say is that long predated me. 515 - > The company was founded in Sweden and there's always, 516 - > always, always been this desire to make sure that we're not only 517 - > doing good as a company but doing good for the world and 518 - > that's stuck with us from those early days and even here. 519 - > You see, we got all the sustainability and everything.

520 - > We raised money for charity and , look, we're not a big giant 521 - > company. 522 - > We don't write big giant checks , but every single person in 523 - > Click gives time. 524 - > They give time to charities. 525 - > We give them time off to go do that.

526 - > We give our software in kind to solve really hard problems for 527 - > not-for-profits Could be water shortages in Africa, could be 528 - > human trafficking, as I talked about, and a lot of times when I 529 - > talk to people they say that's why I love working at Click, 530 - > because Click cares is what we say Click cares. 531 - > Brian Booden: Yeah, yeah, I mean , that's a great place, and I 532 - > think the last thing I just want to talk to you about here is so 533 - > much information and data in this conference right, but if 534 - > you had a couple of, two or three core messages to take away 535 - > from this year.

536 - > Mike Capone: Not necessarily like the physicals of the 537 - > keynote, but what are your themes that you're thinking 538 - > about this year in terms of what we're presenting to people here 539 - > ? 540 - > Yeah, look, I think it's pretty simple. 541 - > A year ago, all this hype around AI. 542 - > I think the good news is everybody's woken up to the fact 543 - > that this is not you know this isn't just plugging a model and 544 - > you're done right.

545 - > So the good news is, I think, that cycle's kind of passed and 546 - > now everybody's understanding that there's work to be done 547 - > here. 548 - > And then the second thing is lean in. 549 - > Like you know, the good news is people are here because they 550 - > get it if you don't come to a Qlik conference and not 551 - > understand the importance of data analytics and AI in the 552 - > world. 553 - > But now we gotta leave, like you gotta leave.

554 - > You gotta push your company forward. 555 - > Ai is not optional. 556 - > It's not. 557 - > It's just not.

558 - > The AI is incessant. 559 - > With all the uncertainty in the world, it's even more in 560 - > necessity. 561 - > So go get it. 562 - > Brian Booden: Yeah, I think, like Qlik, has shown the way 563 - > forward in terms of embedding that AI within their internal 564 - > processes in the back end and also exposing that to users at 565 - > the right level as well.

566 - > So I think it's been a big, big period for Qlik over the last 567 - > year. 568 - > Thank you Well. 569 - > Look, look, mike, I know that you're like Russian and you're 570 - > going from place to place so I'm gonna give you a few minutes 571 - > back to be able to recover from that. 572 - > Mike Capone: It's always great to have you.

573 - > Brian Booden: I really, really appreciate it and thanks 574 - > everyone for watching. 575 - > This was a live episode of the Data Mix from Qlik Connect in 576 - > Orlando, florida, and we will see you next time. 577 - > Cheers, thank you.