WEBVTT NOTE This file was generated by Descript 00:01:36.925 --> 00:01:38.405 Duke: All right, Corey, what are we talking about today? 00:01:38.825 --> 00:01:40.795 , CJ: today we got a very special guest on. 00:01:40.795 --> 00:01:43.345 We've got Mark Scott from service now. 00:01:43.345 --> 00:01:46.525 And today we're going to talk about now learning. 00:01:46.535 --> 00:01:48.415 We're going to talk about AI and we're going to talk about. 00:01:48.850 --> 00:01:50.310 I mean, whatever else pops up. 00:01:50.310 --> 00:01:51.880 Duke: Have we had anybody on the show twice? 00:01:51.890 --> 00:01:52.950 Is Mark the first? 00:01:52.950 --> 00:01:53.500 CJ: Huh? 00:01:53.560 --> 00:01:54.560 That's a good question. 00:01:54.580 --> 00:01:56.830 I think he might be the first Mark. 00:01:56.830 --> 00:01:58.670 You might be the first repeat gas. 00:01:58.670 --> 00:01:58.800 How 00:01:59.005 --> 00:02:01.465 Mark: no way, no, come on, that's not true, 00:02:02.380 --> 00:02:03.290 CJ: I think it might be 00:02:03.435 --> 00:02:06.535 Mark: that's not true, that can't be right, well that's an honor, that's 00:02:06.545 --> 00:02:08.865 crazy, that makes me feel really good, 00:02:09.185 --> 00:02:12.055 Duke: Well, you do bring like twice as much as the average person to the 00:02:12.055 --> 00:02:13.875 ServiceNow community, so why not, right? 00:02:14.270 --> 00:02:14.980 Mark: come on. 00:02:15.270 --> 00:02:15.800 Ridiculous. 00:02:15.810 --> 00:02:18.510 Like, I mean, maybe twice as much, , crazy energy. 00:02:18.540 --> 00:02:19.090 I don't know. 00:02:19.450 --> 00:02:19.810 CJ: crazy. 00:02:19.810 --> 00:02:20.470 Energy is good. 00:02:20.470 --> 00:02:20.750 Yeah. 00:02:20.760 --> 00:02:21.380 We like crazy 00:02:21.480 --> 00:02:21.510 Mark: guess. 00:02:21.510 --> 00:02:22.360 I don't know. 00:02:23.480 --> 00:02:24.380 I don't sleep. 00:02:24.410 --> 00:02:28.830 So maybe it's I exude that much, Intensity that I have to be on twice as many 00:02:28.830 --> 00:02:33.650 times to get the full story, I have to be on twice as many times, but yeah. 00:02:33.680 --> 00:02:34.530 , my name is Mark Scott. 00:02:34.557 --> 00:02:37.580 I'm the some senior something staff architect. 00:02:37.980 --> 00:02:39.410 I can never remember what my title is. 00:02:39.420 --> 00:02:40.310 Titles are irrelevant. 00:02:40.610 --> 00:02:42.180 I'm an architect of some sorts. 00:02:42.180 --> 00:02:44.040 I help build buildings over at now learning. 00:02:44.560 --> 00:02:48.530 , and, uh, you know, I, keep the learning happening over there, , which 00:02:48.560 --> 00:02:50.210 is an incredibly fulfilling job. 00:02:50.300 --> 00:02:51.520 I love what I do. 00:02:52.060 --> 00:02:54.920 And when they brought me on, , it was a dream and it still is 00:02:54.920 --> 00:02:56.550 every day , keeping you guys. 00:02:56.837 --> 00:02:59.217 trained up, ready to go for the next thing. 00:02:59.217 --> 00:03:00.597 It's, it's a lot of fun. 00:03:00.690 --> 00:03:04.450 And every, every time this year, this time of year rolls around, it's a 00:03:04.450 --> 00:03:07.010 reminder of how much fun I'm having because, we're working on all the 00:03:07.010 --> 00:03:08.910 stuff that is going into knowledge. 00:03:09.240 --> 00:03:11.894 , which is, it's always a challenge this time of year to say it's fun 00:03:11.894 --> 00:03:14.274 because it's always deadlines, right? 00:03:14.524 --> 00:03:15.204 It's always deadlines. 00:03:15.514 --> 00:03:17.514 but in June, I'll tell you if it's fun or not. 00:03:18.054 --> 00:03:19.444 CJ: Let's double click a little bit on that. 00:03:19.444 --> 00:03:19.624 Right? 00:03:19.624 --> 00:03:22.614 Like, um, cause it, yeah, it sounds like, there's a lot of prep that 00:03:22.614 --> 00:03:25.614 goes into the now learning side in preparation for knowledge. 00:03:25.614 --> 00:03:26.754 Let's talk a little bit about that. 00:03:27.014 --> 00:03:27.284 Mark: Yeah. 00:03:27.354 --> 00:03:29.344 that usually starts, I months ahead of time. 00:03:29.794 --> 00:03:30.574 It's funny. 00:03:30.984 --> 00:03:36.000 You talk about your projects when we talk about go lives and things like that. 00:03:36.340 --> 00:03:41.084 It's funny to poke your head up look around at LinkedIn and talk to you guys. 00:03:41.084 --> 00:03:43.887 Like, when I say you guys, I talk to customers because you guys are talking 00:03:43.887 --> 00:03:46.217 about Vancouver and things like that. 00:03:46.217 --> 00:03:51.547 And we're talking about Xanadu, like we're talking like way out there. 00:03:51.677 --> 00:03:55.034 and so , it's so interesting when, , I talked to, the customer 00:03:55.034 --> 00:03:59.614 side of things, because it's almost like I have to reshift my focus. 00:04:00.029 --> 00:04:02.359 Into okay, where are you guys at? 00:04:02.579 --> 00:04:02.909 Right? 00:04:03.009 --> 00:04:07.189 Because we're ahead and you guys, and I don't want to say behind because 00:04:07.189 --> 00:04:08.459 that's not, that's not the right word. 00:04:08.799 --> 00:04:11.419 You know, you guys are in a different headspace, right? 00:04:11.419 --> 00:04:14.789 Because usually we have an update that hits right when knowledge hits. 00:04:15.249 --> 00:04:18.989 And then we also have all the features that we're adding into knowledge, 00:04:18.989 --> 00:04:22.359 which obviously I can't go into that because we always update everybody 00:04:22.359 --> 00:04:23.469 right around knowledge time. 00:04:23.879 --> 00:04:24.429 Um, 00:04:24.579 --> 00:04:26.489 CJ: and there's no, there's no safe harbor here. 00:04:26.489 --> 00:04:28.251 So Uh, 00:04:28.349 --> 00:04:29.819 Mark: Yeah, this is, this isn't the. 00:04:30.089 --> 00:04:32.149 ServiceNow, CJ and the Duke podcast. 00:04:32.149 --> 00:04:36.759 Unfortunately we, you know, sponsored by, but unfortunately now, , yeah. 00:04:36.759 --> 00:04:38.699 So, so there's a lot of sprint planning that happens. 00:04:38.709 --> 00:04:41.875 There's a lot of, iteration and cycling that goes through , to get those 00:04:41.885 --> 00:04:46.579 plans going, obviously for that date in knowledge, nail that date and get 00:04:46.579 --> 00:04:51.069 that ready, and then what's interesting is we can't push anything live. 00:04:51.534 --> 00:04:54.044 Until right around knowledge time. 00:04:54.107 --> 00:04:55.027 otherwise you guys would see it. 00:04:55.317 --> 00:04:58.117 So there's a group of people that are sitting there like 00:04:58.117 --> 00:04:59.477 ready to push the button 00:05:14.720 --> 00:05:17.740 because they're, , and then also in charge of that project. 00:05:17.960 --> 00:05:22.330 So it's a real whirlwind for a lot of people that are working the 00:05:22.330 --> 00:05:24.480 conference that are also having projects that are launched to the 00:05:24.480 --> 00:05:27.954 conference, like when you're an employee of ServiceNow, like that 00:05:27.964 --> 00:05:30.040 knowledge time becomes, Like a tornado. 00:05:30.158 --> 00:05:31.024 it's crazy. 00:05:31.038 --> 00:05:33.044 it's a lot of fun, but it's, very different. 00:05:33.254 --> 00:05:34.924 Very, very different from the employee standpoint. 00:05:35.359 --> 00:05:38.439 CJ: Yeah, so it sounds like, you're a bit of a service now time traveler, right? 00:05:38.439 --> 00:05:41.129 , you, you exist a little bit in the future, right? 00:05:41.389 --> 00:05:45.813 Of service now versus like, where the rest of us are and especially around, , when 00:05:45.813 --> 00:05:47.913 it comes down to knowledge and then. 00:05:48.538 --> 00:05:54.538 Duke: Okay. 00:05:54.583 --> 00:05:58.153 CJ: that goes into trying to just pull off , a service now knowledge 00:05:58.183 --> 00:06:02.913 event with, making sure that, the now learning stuff gets implemented. 00:06:03.113 --> 00:06:06.313 Well, and I'm sure it's like, this is like enterprise wide coordination to 00:06:06.478 --> 00:06:07.198 Mark: Oh, absolutely. 00:06:07.558 --> 00:06:10.548 CJ: Yeah, as someone who's been to like the last 10 knowledges or 00:06:10.548 --> 00:06:13.278 so, even a virtual ones, like, we just got to take it for granted 00:06:13.328 --> 00:06:14.848 that this stuff happens, right? 00:06:14.848 --> 00:06:18.018 Like you show up and there's a conference there and there are, 00:06:18.068 --> 00:06:21.778 there's like breakouts and then there are labs and there's like this great 00:06:21.808 --> 00:06:25.248 expo and their booths there and people are doing like really cool stuff. 00:06:25.278 --> 00:06:25.668 And. 00:06:25.863 --> 00:06:29.013 You know, you don't always think about what had to go into it in the 00:06:29.023 --> 00:06:30.533 background to, , to make it happen. 00:06:31.323 --> 00:06:33.763 and then there's, and apparently there's a lot of people like you, 00:06:33.893 --> 00:06:36.903 like plugging away, trying to, you know, make our experiences great. 00:06:36.913 --> 00:06:39.673 Even if you guys aren't even at the conference. 00:06:39.683 --> 00:06:39.943 So, 00:06:40.188 --> 00:06:40.758 Mark: I mean, those, 00:06:40.833 --> 00:06:41.263 CJ: the work, 00:06:41.368 --> 00:06:45.018 Mark: those t shirts had to be printed, like down to that level, right? 00:06:45.018 --> 00:06:47.918 Like someone had to figure out what those words were on those t shirts. 00:06:48.219 --> 00:06:50.189 it's insane to think about, right? 00:06:50.189 --> 00:06:52.839 Like, if you see a balloon that says, you know, hashtag service 00:06:52.839 --> 00:06:56.503 now on it, someone had to approve that balloon, . It's a lot of work, 00:06:57.083 --> 00:07:01.073 CJ: Since we're talking about now learning and like the merging of knowledge as well. 00:07:01.183 --> 00:07:03.183 how much now on now? 00:07:03.363 --> 00:07:07.173 Do you do to actually, , spin up , the service down knowledge 00:07:07.173 --> 00:07:09.793 conference, , from the perspective of what you're, involved with. 00:07:10.493 --> 00:07:13.663 Mark: Obviously, you know, now on now, it's huge, huge, , from a 00:07:13.673 --> 00:07:16.603 representation at the conference, like, how much do we send from, 00:07:16.823 --> 00:07:18.593 now learning, , Here's our story. 00:07:18.593 --> 00:07:21.573 Here's what we've done over the next from the last year. 00:07:21.583 --> 00:07:22.353 , here's what we've learned. 00:07:22.353 --> 00:07:23.083 Here's what we've done. 00:07:23.373 --> 00:07:27.593 , we try to send as many people that we can from here's the things that we've learned 00:07:27.623 --> 00:07:32.923 our entire engineering team, , from our leadership all the way down goes right. 00:07:32.963 --> 00:07:36.253 And they try to, , tell that story and, , really, showcase what 00:07:36.253 --> 00:07:40.683 we've done, uh, especially like last year, we had an entire track 00:07:40.693 --> 00:07:42.779 of best practices on the portal. 00:07:43.019 --> 00:07:48.479 , and what we've learned when we shifted from what we called now learning 1. 00:07:48.479 --> 00:07:49.289 0 to now learning 2. 00:07:49.969 --> 00:07:53.769 0, which was just a , phenomenal amount of knowledge to, drop into 00:07:53.769 --> 00:07:55.839 somebody and go, , here it is. 00:07:56.019 --> 00:07:59.229 Like we're talking about like graduate level, portal level classes, ? About 00:07:59.229 --> 00:08:02.539 like, here's how you use broadcast and, talking to widgets and how to 00:08:02.569 --> 00:08:05.849 make them not talking back and forth so that you don't overload between like, 00:08:06.139 --> 00:08:10.983 just, just crazy, crazy stuff that it's like, if you're in a, you know, a high, 00:08:11.133 --> 00:08:17.333 highly functioning, highly scalable type environment, I mean, All the way down 00:08:17.333 --> 00:08:21.113 to just the minutiae of , here's how you scale your sys attachments table. 00:08:21.123 --> 00:08:23.453 Like we try to put a lot of that knowledge back into our 00:08:23.453 --> 00:08:24.963 customers as much as possible. 00:08:24.973 --> 00:08:25.233 Right. 00:08:25.233 --> 00:08:29.153 I know I'm always looking for those, . Where I go, this is constantly, my 00:08:29.153 --> 00:08:30.153 team's probably sick of hearing this. 00:08:30.153 --> 00:08:33.893 I'm like, Hey, this is a great knowledge topic that we could submit. 00:08:33.893 --> 00:08:34.183 Right. 00:08:34.183 --> 00:08:35.713 Like constantly, . It's huge. 00:08:35.773 --> 00:08:38.633 , it's definitely woven into the fabric of everything that we're doing 00:08:38.943 --> 00:08:40.803 is, , let's put this back into that. 00:08:41.153 --> 00:08:41.583 , because. 00:08:41.834 --> 00:08:45.094 honestly, like it, it just, it makes, not only does it make us look 00:08:45.094 --> 00:08:47.834 better, , to everybody else where we're like, look how good we're doing. 00:08:48.124 --> 00:08:53.364 , but I love it from a, let's go show everybody how awesome we are 00:08:53.374 --> 00:08:56.971 from an engineering standpoint like, we're the best, we're, 00:08:56.981 --> 00:08:58.811 keeping one of the most highly. 00:08:59.301 --> 00:09:03.721 Sought after instances online 24 hours a day, seven days a week. 00:09:03.721 --> 00:09:06.291 , people are constantly learning on our system. 00:09:06.301 --> 00:09:08.241 Let's show off and tell people about it. 00:09:08.271 --> 00:09:09.641 So yeah, absolutely. 00:09:09.701 --> 00:09:13.191 We're now on now is huge, huge, huge in what we're doing. 00:09:13.324 --> 00:09:16.964 CJ: Nice, so building on the now learning aspects, right? 00:09:16.974 --> 00:09:17.564 You mentioned the 2. 00:09:17.594 --> 00:09:18.569 0, right? 00:09:18.569 --> 00:09:19.584 And I remember the last time. 00:09:19.834 --> 00:09:22.114 We had you on the show, ? That's when you were launching, 00:09:22.384 --> 00:09:23.884 you know, now learning 2.0. 00:09:23.884 --> 00:09:24.124 Right? 00:09:24.124 --> 00:09:27.174 And, we're like super excited about it and it's, and I still am, right? 00:09:27.224 --> 00:09:30.894 I think this is like a huge improvement ? Over what I, what 00:09:30.894 --> 00:09:33.564 came before and honestly, I can't even remember what came before. 00:09:33.564 --> 00:09:34.674 It's just so much better. 00:09:35.004 --> 00:09:35.364 Uh. 00:09:35.369 --> 00:09:35.824 Mark: Yeah. 00:09:36.634 --> 00:09:37.434 CJ: It totally is. 00:09:37.464 --> 00:09:42.654 And so I guess what, one of the things I want to know is like, how are you guys 00:09:42.694 --> 00:09:47.314 seeing , the, , adoption of now learning increased since you all , pushed out 00:09:47.314 --> 00:09:51.754 to Dido , cause I see what feels like a bit more of a push, you know, from 00:09:51.814 --> 00:09:56.174 service now around now learning than I did, you know, before on, you know, 1. 00:09:56.494 --> 00:09:57.714 0 versus 2. 00:09:57.714 --> 00:09:59.299 0. 00:10:00.614 --> 00:10:03.284 Mark: so ironic that you would ask about the push, right? 00:10:03.294 --> 00:10:04.914 Because you're one of them, right? 00:10:04.924 --> 00:10:10.084 Like you're like, come on, your picture is used in half the 00:10:10.084 --> 00:10:11.714 marketing material we have out there. 00:10:11.714 --> 00:10:12.941 I think Corey, come on. 00:10:13.321 --> 00:10:14.651 I mean, let's just talk about rise up. 00:10:14.651 --> 00:10:18.051 Like rise up is one of the most ambitious initiatives I've seen 00:10:18.141 --> 00:10:19.491 a tech company ever undertake. 00:10:20.071 --> 00:10:22.171 , from a training perspective, it's a lot. 00:10:22.211 --> 00:10:26.481 And when it, filters down to the point where I'm ingraining it into 00:10:26.491 --> 00:10:30.111 the engineers, where I go like the numbers that we're talking about , you 00:10:30.111 --> 00:10:32.151 shouldn't just be talking about, scale. 00:10:32.591 --> 00:10:35.381 You need to be talking about scale on a massive, massive level. 00:10:35.961 --> 00:10:40.041 , 10 X and when we're talking about like, does this work? 00:10:40.051 --> 00:10:41.841 It shouldn't just be, does this work? 00:10:41.841 --> 00:10:44.431 It should be, does this work and will it work? 00:10:44.781 --> 00:10:48.534 At 10 X and if you're like, well, it should be okay. 00:10:48.714 --> 00:10:50.544 It's like new, new, new, new, new, new. 00:10:50.754 --> 00:10:52.344 This needs to be fail safe. 00:10:52.364 --> 00:10:56.674 , this needs to be good for the next like 10 years because we're going to have 10 years 00:10:56.674 --> 00:10:57.709 worth of traffic in the next two years. 00:10:57.849 --> 00:10:58.499 Year. 00:10:58.879 --> 00:11:02.769 and that's, that's the hockey stick we're looking at trying to achieve. 00:11:02.779 --> 00:11:03.109 Right. 00:11:03.193 --> 00:11:05.473 we don't have time to go backwards and fix things. 00:11:05.883 --> 00:11:08.683 . So what we're looking at doing is if we have, the exponential growth 00:11:08.683 --> 00:11:11.208 and the hockey stick that we're looking at achieving, it's like, if 00:11:11.208 --> 00:11:15.508 I kick off and and achieve , that growth the way that we're looking at 00:11:15.518 --> 00:11:20.078 doing, I can't go backwards and fix something that is broken or wasn't 00:11:20.108 --> 00:11:21.408 scaling the way I thought it was. 00:11:21.648 --> 00:11:25.218 So I need you to build it now the way that it needs to be done. 00:11:25.408 --> 00:11:27.328 so yes, the push is there. 00:11:27.658 --> 00:11:29.698 , I'm having my engineers build. 00:11:30.178 --> 00:11:33.968 To the point where gosh, I can't say those words because I'm going to jinx it. 00:11:34.358 --> 00:11:37.068 I'm having my engineers build to the point where they're keeping 00:11:37.078 --> 00:11:39.168 scale in mind to a massive level. 00:11:39.168 --> 00:11:43.475 , CJ: so it sounds like the now learning to idle launch was as much 00:11:43.495 --> 00:11:45.285 or more than you guys ever expected. 00:11:45.285 --> 00:11:48.155 And so now you're humming on all cylinders and trying to figure out 00:11:48.155 --> 00:11:49.565 how you can keep up with the demand. 00:11:49.915 --> 00:11:50.535 So that. 00:11:51.390 --> 00:11:51.890 Yeah. 00:11:52.310 --> 00:11:52.610 Okay. 00:11:52.610 --> 00:11:55.110 So that's definitely a good place to be in. 00:11:55.110 --> 00:11:59.030 Are you, are y'all keeping track of statistics from the standpoint of how many 00:11:59.030 --> 00:12:03.610 folks are going through now learning and coming out and getting certified based on. 00:12:04.140 --> 00:12:06.550 Mark: Oh, yeah., if you give a stakeholder a metric, right? 00:12:06.630 --> 00:12:07.770 They're going to want reporting. 00:12:08.110 --> 00:12:08.410 , it's, 00:12:08.620 --> 00:12:09.410 CJ: Isn't that the truth? 00:12:10.120 --> 00:12:13.520 Well, let's, let's pause on that right I think that's something that 00:12:13.520 --> 00:12:17.730 we can, expound upon because it, Fits in so many different ways. 00:12:17.730 --> 00:12:19.960 . And so many different aspects of, of the service down journey. 00:12:19.960 --> 00:12:20.150 Right. 00:12:20.150 --> 00:12:23.370 Like if you give a stakeholder, uh, what was it, was it, what was it? 00:12:23.370 --> 00:12:24.890 You just said, if you give a stakeholder, 00:12:25.270 --> 00:12:27.720 Mark: you give a stakeholder a metric, they're going to want reporting. 00:12:27.720 --> 00:12:28.370 It's like that. 00:12:28.400 --> 00:12:30.760 If you give a mouse a cookie, they're going to want some milk, right? 00:12:30.790 --> 00:12:31.590 Like you give it. 00:12:32.280 --> 00:12:33.060 Yeah, yeah, yeah. 00:12:33.140 --> 00:12:34.540 You give a stakeholder metric. 00:12:34.560 --> 00:12:35.750 They're gonna want reporting. 00:12:36.054 --> 00:12:39.444 Duke: Which is kind of sad that way, though, because they should know 00:12:39.664 --> 00:12:42.964 what they need to report on before a third party gives them a metric. 00:12:43.144 --> 00:12:44.504 Mark: yeah, exactly. 00:12:44.684 --> 00:12:46.794 Duke: Think about this a little bit before you even deploy. 00:12:46.874 --> 00:12:48.994 Before you even deploy, let's talk about the metrics. 00:12:49.114 --> 00:12:49.394 Mark: Right. 00:12:49.424 --> 00:12:51.204 , you should figure out what you need to measure before 00:12:51.204 --> 00:12:52.754 you even have to measure it. 00:12:52.754 --> 00:12:54.693 , it should come out the other way. 00:12:54.843 --> 00:12:56.483 but yeah, absolutely. 00:12:56.543 --> 00:12:57.883 Do we have KPIs on all of this? 00:12:57.953 --> 00:12:58.693 Absolutely. 00:12:59.060 --> 00:13:02.457 The fortune 500 company, like there's, there's tons of people breathing down 00:13:02.457 --> 00:13:05.287 our necks going, like how many people came through the program yesterday? 00:13:05.287 --> 00:13:09.687 Duke: So, another thing that you're really famous for lately 00:13:09.697 --> 00:13:11.937 is all your posts about AI. 00:13:12.077 --> 00:13:14.567 Mark: famous, you know, yeah, I know. 00:13:15.942 --> 00:13:16.792 Famous or infamous? 00:13:16.792 --> 00:13:17.492 I'll let you decide. 00:13:17.845 --> 00:13:21.275 you know, all this, all this Jenny I stuff started cropping up 00:13:21.325 --> 00:13:22.675 about a year, year and a half ago? 00:13:22.725 --> 00:13:25.885 I started jumping on that stuff because when I was a kid 00:13:26.425 --> 00:13:28.045 who didn't want that robot? 00:13:28.465 --> 00:13:29.155 You know what I'm saying? 00:13:29.155 --> 00:13:34.040 Like every one of those sci-fi shows had a robot or some sort of AI benevolent 00:13:34.040 --> 00:13:38.500 or not, but there was some sort of AI in that thing, and it was like. 00:13:38.875 --> 00:13:40.695 Man, I want that man. 00:13:40.695 --> 00:13:47.045 I want that and so like I would say most of my Childhood I was into it and I was 00:13:47.055 --> 00:13:51.325 like, let's build this thing the second program I ever wrote told me good morning. 00:13:51.655 --> 00:13:54.723 Good evening and good night I wanted it to do. 00:13:54.763 --> 00:13:56.583 Cause I was like, that's the coolest thing ever. 00:13:56.583 --> 00:13:57.623 It just tells me hello. 00:13:58.143 --> 00:14:01.973 , CJ: but last thing that I saw you post on LinkedIn is identifying the 00:14:01.973 --> 00:14:04.103 planes that are flying over your house. 00:14:04.104 --> 00:14:15.458 Right. 00:14:15.648 --> 00:14:18.822 Mark: I hope, once they overtake us, that they'll know who gave them the 00:14:18.822 --> 00:14:20.262 high ground, at least in Phoenix. 00:14:22.252 --> 00:14:23.182 Yeah, that was pretty good. 00:14:23.552 --> 00:14:26.312 I mean, you know, it's, I'm getting good. 00:14:26.352 --> 00:14:27.312 I'm getting scary at it. 00:14:27.662 --> 00:14:30.372 I think I told somebody, it was like, at one point someone will 00:14:30.372 --> 00:14:33.112 hook something stupid up to them, and I'm like, it was me! 00:14:33.282 --> 00:14:34.982 It's like, yeah, it'll probably be me. 00:14:35.598 --> 00:14:39.338 I look at this AI stuff and I go, hey, , how long ago did the iPhone come out? 00:14:39.768 --> 00:14:41.878 , I remember looking around and going, man, that thing's neat. 00:14:42.278 --> 00:14:45.828 And then I played video games and sat around and didn't do anything. 00:14:46.308 --> 00:14:48.838 , and I could have learned a program on that, ? We all could have, , most 00:14:48.838 --> 00:14:50.208 of us didn't, didn't do anything. 00:14:50.238 --> 00:14:50.888 Some of us did. 00:14:51.078 --> 00:14:52.468 Some cool stuff with those things. 00:14:53.028 --> 00:14:55.308 And some of us made some pretty good money with them too. 00:14:55.708 --> 00:14:57.818 , and the people that did, did pretty well. 00:14:58.368 --> 00:15:02.335 And I go, Ooh, maybe this is the next iPhone, maybe this is the next thing. 00:15:02.415 --> 00:15:04.705 , maybe this is the next, I'm not going to say golden age 00:15:04.705 --> 00:15:08.985 or, , it's not the next industrial revolution, but maybe there's yeah. 00:15:08.995 --> 00:15:10.335 Gold rush, right? 00:15:10.355 --> 00:15:12.615 The next iPhone gold rush kind of thing. 00:15:13.005 --> 00:15:14.755 Yeah, it's kind of clunky right now. 00:15:14.865 --> 00:15:15.205 Yeah. 00:15:15.385 --> 00:15:16.755 Everybody's making fun of it right now. 00:15:16.765 --> 00:15:18.345 Cause it's going to do some stupid things. 00:15:19.755 --> 00:15:21.165 It's going to straighten itself back out. 00:15:21.485 --> 00:15:23.845 And it's going to figure it out and there's going to be an application for it. 00:15:23.845 --> 00:15:26.335 And there's going to be some of this awesome stuff that comes out of it. 00:15:26.695 --> 00:15:29.315 And I'm like, if I get the skillset and I can, learn how to wield 00:15:29.315 --> 00:15:31.975 this thing and mess around with it enough, maybe there'll be some cool 00:15:31.975 --> 00:15:33.405 career opportunities down the line. 00:15:33.615 --> 00:15:34.625 So that's where I'm at. 00:15:35.605 --> 00:15:35.945 So yeah, 00:15:36.075 --> 00:15:39.058 Duke: hours do you think you sunk into, Yeah. 00:15:39.068 --> 00:15:43.398 And did you go from nothing to, , AI building or can you give us a sense 00:15:43.398 --> 00:15:47.418 of where you started and how long it took to get you like building Icarus. 00:15:47.740 --> 00:15:49.168 Mark: It's not good. 00:15:49.168 --> 00:15:50.770 It's not good. 00:15:50.900 --> 00:15:51.780 So here's the thing. 00:15:51.914 --> 00:15:55.954 I went nuts, like, you don't have to do this anymore because there's so many 00:15:55.954 --> 00:16:00.074 tools that are coming out now that I didn't have a year ago when I started 00:16:00.084 --> 00:16:01.584 building all of this stuff, right? 00:16:01.604 --> 00:16:02.914 Like when I started messing around. 00:16:02.914 --> 00:16:05.494 So there's new stuff that's helping everybody out daily. 00:16:05.934 --> 00:16:08.924 , and there's, technology that's helping people that I'm like, Oh 00:16:08.964 --> 00:16:11.544 man, if I had had that a year ago, that would have helped me out. 00:16:12.054 --> 00:16:13.774 , so how many hours have I sunk into this? 00:16:14.104 --> 00:16:18.937 Hundreds, like lots, lots and lots and lots, which is why you're seeing me 00:16:18.937 --> 00:16:24.154 crank these things out at like, like Robin Williams joke telling pace, I'm 00:16:24.154 --> 00:16:25.524 just like throwing them out there. 00:16:25.524 --> 00:16:27.384 And everyone's like, well, how are you doing this? 00:16:27.934 --> 00:16:31.854 , I have this infrastructure set up with like this no code, low code kind of 00:16:31.854 --> 00:16:33.394 workflow platform where I can just. 00:16:33.819 --> 00:16:35.139 Picking, choosing, grab and go. 00:16:35.429 --> 00:16:40.669 but I spent a whole lot of time building that up and learning my tool set so that 00:16:40.669 --> 00:16:42.379 now I'm just like, Oh yeah, grab and go. 00:16:42.809 --> 00:16:44.159 , and I know where all my tools are. 00:16:44.399 --> 00:16:46.684 And so when someone comes around and they're like, , can 00:16:46.684 --> 00:16:48.154 you do it with this tool? 00:16:48.154 --> 00:16:50.794 And that's when I'm like, not really no, but you give me 00:16:50.794 --> 00:16:51.874 the freedom to do what I want. 00:16:51.874 --> 00:16:52.514 I'm like, yeah, sure. 00:16:52.514 --> 00:16:52.934 Here you go. 00:16:52.934 --> 00:16:53.544 Like it's done. 00:16:54.104 --> 00:16:56.704 CJ: So you've got like a, custom workspace, right? 00:16:56.704 --> 00:16:59.684 Like you've got all the tools that you need to get you from 00:16:59.684 --> 00:17:01.794 point a to point Z, right? 00:17:01.794 --> 00:17:05.304 Like you've got all of those in arms reach and so they're low code, 00:17:05.314 --> 00:17:07.294 no code to use on, on top of that. 00:17:07.674 --> 00:17:08.034 Right. 00:17:08.044 --> 00:17:11.984 , and those are allowing you to build some, crazy things, but What folks 00:17:11.994 --> 00:17:13.484 really want to hear about, right? 00:17:13.484 --> 00:17:16.294 Is what allows you to get to that point, right? 00:17:16.294 --> 00:17:20.994 Where it became low code, no code, because it feels like there's a level of 00:17:21.014 --> 00:17:26.264 understanding and a level of dedication that had to happen before it became easy. 00:17:26.809 --> 00:17:27.599 Mark: Got to take the red pill. 00:17:27.609 --> 00:17:30.929 It's just like when you learned object oriented programming when you learn 00:17:30.949 --> 00:17:35.619 object oriented programming, there was that time when your brain turned to mush. 00:17:35.999 --> 00:17:37.129 Like, you remember that? 00:17:37.129 --> 00:17:39.399 You're like, I don't get it. 00:17:39.502 --> 00:17:40.462 this sucks. 00:17:40.562 --> 00:17:41.152 Who does this? 00:17:41.709 --> 00:17:43.599 this doesn't make any sense to me. 00:17:44.049 --> 00:17:47.069 , and it took time for your brain to , adjust and then once you got 00:17:47.069 --> 00:17:49.099 it, you were like, oh, now I get this. 00:17:49.099 --> 00:17:51.439 It takes time for it to sink in. 00:17:51.902 --> 00:17:52.092 You? 00:17:53.997 --> 00:17:56.157 Duke: there's a reason why I asked this question. 00:17:56.157 --> 00:17:59.037 . It transcends the AI question. 00:17:59.232 --> 00:17:59.622 Mark: Mm hmm. 00:18:00.007 --> 00:18:01.707 Duke: Like, how do you get good at anything? 00:18:01.737 --> 00:18:03.357 , you have to obsess about it for 00:18:03.412 --> 00:18:03.772 Mark: Yes. 00:18:04.227 --> 00:18:05.477 Duke: in a painful way. 00:18:05.612 --> 00:18:06.012 Mark: Yes. 00:18:11.730 --> 00:18:14.450 Duke: Hey, I just got my welcome to service now, sir. 00:18:14.480 --> 00:18:15.630 I'm super excited to learn. 00:18:15.630 --> 00:18:19.850 Like, how come there's no info on how to really excel and get a job. 00:18:19.850 --> 00:18:21.460 I'm like, you're not even there. 00:18:21.545 --> 00:18:22.605 Mark: Yeah, you just, you, 00:18:23.240 --> 00:18:25.120 Duke: you spent maybe four hours at 00:18:25.475 --> 00:18:27.395 Mark: you bought a shovel and now you want to know how to 00:18:27.405 --> 00:18:28.545 start a construction company. 00:18:28.545 --> 00:18:32.025 It's like, well, hold on, hold on. 00:18:32.605 --> 00:18:34.425 You might want to spend some time. 00:18:35.150 --> 00:18:35.360 Duke: yeah. 00:18:35.360 --> 00:18:38.450 Are your first five minutes of the gym is like, where's the gains? 00:18:39.660 --> 00:18:43.960 There's nothing you get in this, like even with AI helping us now, it's 00:18:44.050 --> 00:18:45.930 still, you have to pay the piper. 00:18:45.940 --> 00:18:47.940 If you want to do something that cool. 00:18:48.370 --> 00:18:52.300 You've got a , I don't know anything about birthing a child. 00:18:52.300 --> 00:18:52.650 Right. 00:18:52.660 --> 00:18:56.020 But it seems to me like it's the most glorious, miraculous 00:18:56.020 --> 00:18:57.090 thing in the entire world. 00:18:57.090 --> 00:19:02.950 But what the crucible you have to pass to get that child is astounding, you know, 00:19:03.065 --> 00:19:03.385 Mark: Mm-Hmm. 00:19:03.525 --> 00:19:03.945 . Mm-Hmm. 00:19:04.120 --> 00:19:04.660 Duke: so. 00:19:04.905 --> 00:19:09.645 if you want to do something cool, be it just being a service now, anything, 00:19:10.055 --> 00:19:14.475 or being on the cutting edge of the AI stuff, you just have to think about it in 00:19:14.475 --> 00:19:17.625 terms of what labor am I going to put in? 00:19:17.685 --> 00:19:19.745 can I do 9 months and then labor? 00:19:19.895 --> 00:19:22.175 Mark: Don't compare, the way you learn and the way I learned 00:19:22.175 --> 00:19:23.405 are totally different things. 00:19:23.995 --> 00:19:26.025 I've been doing integration work for a long time. 00:19:26.035 --> 00:19:30.825 So when you see me throw together this, PI aware thing, which by the way, guys, 00:19:31.090 --> 00:19:32.980 , I had already built the damn thing. 00:19:33.290 --> 00:19:34.380 I'd already done this integrated. 00:19:34.410 --> 00:19:35.370 Go look at my YouTube. 00:19:35.400 --> 00:19:37.360 I'd already done an integration into PI aware. 00:19:37.590 --> 00:19:40.720 There's one that I did into, , to service now, like I've already 00:19:40.720 --> 00:19:42.080 messed with this technology before. 00:19:42.080 --> 00:19:43.520 This isn't anything that's new to me. 00:19:43.520 --> 00:19:45.584 I've, I went back through and recycled a project. 00:19:45.750 --> 00:19:48.330 that's what you should be doing in your careers. 00:19:48.420 --> 00:19:49.830 Like go back and recycle a project. 00:19:50.080 --> 00:19:51.300 Don't start from scratch. 00:19:51.300 --> 00:19:51.910 Like who does that? 00:19:52.357 --> 00:19:54.447 go take a project that you already know, something that you're 00:19:54.447 --> 00:19:55.877 familiar with and go do it again. 00:19:56.187 --> 00:19:57.057 Because you know what? 00:19:57.342 --> 00:20:01.082 It helps you learn, like it helps you learn how to get to Carnegie 00:20:01.082 --> 00:20:03.682 Hall, practice, practice, practice, do it again and again and again. 00:20:04.149 --> 00:20:07.759 I have one project that I've rebuilt, like I don't know how many times over 00:20:07.919 --> 00:20:11.799 the course of my career, because that's just the project I know and like I do 00:20:11.799 --> 00:20:13.339 it again and again to keep me fresh. 00:20:13.649 --> 00:20:18.049 CJ: So basically , the secret to success today is a whole lot of effort yesterday. 00:20:18.549 --> 00:20:18.839 Right. 00:20:18.859 --> 00:20:19.239 It 00:20:19.269 --> 00:20:21.749 Mark: And if you have insomnia, that helps too. 00:20:21.749 --> 00:20:22.764 You jerk. 00:20:22.764 --> 00:20:23.271 You 00:20:23.409 --> 00:20:24.669 CJ: yeah, that, that always does. 00:20:24.669 --> 00:20:26.049 I am, blessed to not have it. 00:20:26.049 --> 00:20:29.359 And , I always think about that every single day, right before I go to bed. 00:20:34.429 --> 00:20:35.079 Mark: You jerk. 00:20:35.579 --> 00:20:35.919 Yeah. 00:20:36.239 --> 00:20:36.609 Wow. 00:20:36.929 --> 00:20:37.639 Push that knife. 00:20:37.689 --> 00:20:38.399 Yeah, that's great. 00:20:38.654 --> 00:20:41.814 Duke: I mean, I used to, that's why I got all my content from her. 00:20:41.814 --> 00:20:43.344 It was like, why is the content slowing down? 00:20:43.344 --> 00:20:44.354 Cause I sleep now. 00:20:44.359 --> 00:20:44.969 Mark: Yeah, you sleep. 00:20:45.159 --> 00:20:48.569 Yeah, I'm like, people are like, people are like, what, what's this integration? 00:20:48.569 --> 00:20:49.509 I'm like, I don't know. 00:20:49.509 --> 00:20:51.739 I've got, I had three milligrams of Lunesta in my body. 00:20:51.739 --> 00:20:53.119 I have no idea what it is. 00:20:53.119 --> 00:20:54.809 Like, can you build it again? 00:20:54.819 --> 00:20:55.329 I'm like, maybe? 00:20:55.899 --> 00:20:55.949 Like, 00:20:56.919 --> 00:20:58.189 CJ: Like, probably not. 00:20:58.829 --> 00:20:59.309 Mark: I don't know. 00:20:59.309 --> 00:21:00.359 I tore that one down. 00:21:00.359 --> 00:21:01.459 Like, I didn't sleep. 00:21:01.989 --> 00:21:02.389 Yeah. 00:21:02.659 --> 00:21:05.099 CJ: So, I mean, so look at the, your, LinkedIn feed, Mark. 00:21:05.099 --> 00:21:07.219 I mean, it is just a. 00:21:07.864 --> 00:21:11.954 One stop shop of cool stuff, right? 00:21:12.014 --> 00:21:12.574 Like 00:21:12.584 --> 00:21:15.654 Duke: Does anybody talk about AI at ServiceNow more than Mark? 00:21:16.284 --> 00:21:17.424 CJ: not in my feed. 00:21:17.464 --> 00:21:18.054 No. 00:21:18.194 --> 00:21:19.274 Duke: Not in my feed either. 00:21:19.540 --> 00:21:22.990 CJ: And so you've built this AI, uh, you call them cause, 00:21:23.390 --> 00:21:23.820 right. 00:21:23.900 --> 00:21:24.270 Mark: Cause. 00:21:24.640 --> 00:21:25.820 Chatbot operating system. 00:21:25.830 --> 00:21:26.070 Yeah. 00:21:26.180 --> 00:21:27.310 CJ: Chatbot operating system. 00:21:27.310 --> 00:21:27.560 Okay. 00:21:27.560 --> 00:21:28.090 I like that. 00:21:28.240 --> 00:21:32.150 , and the things that I see come across my feed from you with you and cause, right. 00:21:32.150 --> 00:21:33.510 Like I should say, right. 00:21:33.510 --> 00:21:36.820 Like cause can apparently tell you like what's in your fridge. 00:21:37.910 --> 00:21:38.440 Mark: Sometimes. 00:21:38.440 --> 00:21:38.770 Yeah. 00:21:39.065 --> 00:21:40.365 Duke: The chocolate pudding? 00:21:46.290 --> 00:21:46.810 Mark: was funny. 00:21:46.860 --> 00:21:47.840 Uh, cause. 00:21:47.935 --> 00:21:49.875 Duke: 40 is like, what the hell are they talking about? 00:21:49.940 --> 00:21:51.100 Mark: What are they talking about? 00:21:54.950 --> 00:21:59.060 CJ: They have never heard of Jello pudding and maybe not even Bill Cosby 00:21:59.685 --> 00:22:00.085 Duke: Pudding 00:22:00.140 --> 00:22:01.433 Mark: the pudding back! 00:22:01.433 --> 00:22:06.320 Bring the pudding back! 00:22:06.880 --> 00:22:10.860 What's funny, so I've been stealing celebrity voices for cause. 00:22:12.150 --> 00:22:13.290 CJ: Oh, nice. 00:22:13.605 --> 00:22:15.715 Mark: I would do it for you, but you'll probably get a takedown. 00:22:18.182 --> 00:22:21.952 right now he's stuck on Nick Offerman, um, Ron Swanson 00:22:22.124 --> 00:22:23.284 Pretty simple stuff! 00:22:23.284 --> 00:22:25.774 there's nothing earth shattering about what people are doing here. 00:22:26.054 --> 00:22:26.514 and, you 00:22:26.589 --> 00:22:28.709 CJ: It sure feels earth shattering. 00:22:30.044 --> 00:22:34.124 So that's like, I just want to, I want to, , level set the 00:22:34.124 --> 00:22:35.934 expectation from the outside, right? 00:22:36.154 --> 00:22:40.624 Like when I scroll your feet, man, it really feels earth shattering, 00:22:41.017 --> 00:22:43.214 Mark: it's one of those things where , like, I'm just some dude, ,, I 00:22:43.214 --> 00:22:46.434 can't be the only one that's figured this out, like, it can't just be me. 00:22:47.034 --> 00:22:47.664 CJ: but all right, 00:22:47.664 --> 00:22:48.094 so, 00:22:48.249 --> 00:22:50.419 Duke: but you also, you're also the one that did like the 00:22:50.419 --> 00:22:52.369 hundreds of hours towards it. 00:22:52.584 --> 00:22:53.364 CJ: great. 00:22:53.654 --> 00:22:53.854 Mark: Yeah. 00:22:53.894 --> 00:22:54.104 But 00:22:54.734 --> 00:22:55.284 CJ: So, so 00:22:55.364 --> 00:22:55.754 like, 00:22:55.817 --> 00:22:58.554 Mark: instead of like, I don't know, that was just because I'm an 00:22:58.554 --> 00:22:59.714 idiot and I didn't know Kubernetes. 00:22:59.784 --> 00:23:00.444 Like, I don't know. 00:23:00.687 --> 00:23:01.907 CJ: yeah, I mean, well, neither do 00:23:01.907 --> 00:23:02.187 I, 00:23:02.442 --> 00:23:04.102 Duke: I'm not the only one who doesn't know kubernetes. 00:23:05.537 --> 00:23:07.147 Mark: Well, I mean, eventually I nailed 00:23:07.272 --> 00:23:07.602 Duke: who is kubernetes? 00:23:09.137 --> 00:23:09.507 Mark: Yeah. 00:23:11.232 --> 00:23:12.062 CJ: Who's that guy? 00:23:12.072 --> 00:23:13.212 And where, where has he been? 00:23:13.917 --> 00:23:16.227 Mark: mean, it's obviously running now, so, 00:23:17.722 --> 00:23:19.242 CJ: Oh, and that's the thing, right? 00:23:19.382 --> 00:23:20.712 , earth shattering again, right? 00:23:20.755 --> 00:23:22.525 think is in the eye of the beholder, right? 00:23:22.555 --> 00:23:23.355 So I get it, right? 00:23:23.355 --> 00:23:26.375 Like I've got a lot of projects where I do a proof of concept just 00:23:26.375 --> 00:23:27.855 to prove to myself that I can do it. 00:23:28.105 --> 00:23:28.365 Right. 00:23:28.555 --> 00:23:29.605 And then I put them on a shelf. 00:23:29.605 --> 00:23:29.825 Right. 00:23:29.825 --> 00:23:32.245 And it's like, oh, that was, , the challenge was getting to that 00:23:32.245 --> 00:23:34.215 point what made you keep going? 00:23:34.385 --> 00:23:34.625 Right. 00:23:34.625 --> 00:23:39.185 Because you didn't stop at, oh man, this is a nice little chat bot that 00:23:39.185 --> 00:23:41.935 can tell me some weird and cool things. 00:23:42.135 --> 00:23:46.635 Like you're like the stuff that I've seen you publish is better than my Google home. 00:23:48.185 --> 00:23:48.705 Mark: Yeah. 00:23:48.755 --> 00:23:50.115 , there's a couple of impetuses there. 00:23:50.145 --> 00:23:51.205 I have a Google home. 00:23:51.315 --> 00:23:52.265 I love Google home. 00:23:52.625 --> 00:23:56.715 Um, I'm frustrated with Google home because I went Google home. 00:23:56.965 --> 00:24:00.255 I love that you sometimes tell me there's a package, but 00:24:00.255 --> 00:24:01.755 you barely ever get it right. 00:24:02.235 --> 00:24:03.075 , let's just be honest. 00:24:03.205 --> 00:24:06.585 It does an okay job, but you're telling me that this is AI. 00:24:06.832 --> 00:24:09.742 this is what you're packaging up and selling to people as AI. 00:24:09.902 --> 00:24:11.862 CJ: Well, that's what most people know is AI. 00:24:11.952 --> 00:24:12.422 Right. 00:24:12.772 --> 00:24:13.172 Mark: Yeah. 00:24:13.492 --> 00:24:14.442 That's frustrating to me. 00:24:15.072 --> 00:24:15.522 You know what I mean? 00:24:15.522 --> 00:24:17.932 Like, this is the capability that we have and I get it. 00:24:18.162 --> 00:24:18.372 Like 00:24:18.492 --> 00:24:19.472 CJ: now we're getting somewhere. 00:24:19.932 --> 00:24:23.112 Mark: that was the capability that we probably had at that point. 00:24:23.432 --> 00:24:28.172 , this is the capability we have now, ? And I'm like, Hmm, that's frustrating. 00:24:28.225 --> 00:24:29.535 that's really frustrating to me. 00:24:29.535 --> 00:24:31.335 Like, where's all the innovation? 00:24:31.499 --> 00:24:32.909 Google's pumping out Gemma. 00:24:32.909 --> 00:24:34.519 I'm like, so where's our update? 00:24:34.674 --> 00:24:35.174 You know what I mean? 00:24:35.174 --> 00:24:36.134 Like, where is it? 00:24:36.244 --> 00:24:36.994 what happened? 00:24:37.067 --> 00:24:38.607 all I see is Google shutting down nest. 00:24:38.707 --> 00:24:41.057 I'm like, so what happened? 00:24:41.507 --> 00:24:41.727 Like, 00:24:42.385 --> 00:24:45.175 CJ: so you've got the Google home at home and when you got it, like 00:24:45.175 --> 00:24:47.575 me, probably like you were thinking like, damn, man, this is crazy. 00:24:47.575 --> 00:24:48.175 This is great. 00:24:48.455 --> 00:24:50.115 then like the rest of the world, right? 00:24:50.115 --> 00:24:54.919 Like the, the AI revolution came and your Google home and Amazon Alexa 00:24:54.919 --> 00:24:59.049 and so on and so forth, all just kind of stage stuck where they were. 00:24:59.049 --> 00:24:59.189 Right. 00:24:59.580 --> 00:25:00.980 Mark: And then Google starts killing it off. 00:25:01.020 --> 00:25:03.480 And I'm like, guys, we had the whole thing. 00:25:03.500 --> 00:25:04.930 We had everything ready to go. 00:25:05.720 --> 00:25:07.670 , you had devices in every room in the house. 00:25:07.820 --> 00:25:08.930 You had everything. 00:25:09.290 --> 00:25:10.640 And then, 00:25:11.765 --> 00:25:13.402 CJ: then nothing, just kind of got stuck. 00:25:13.572 --> 00:25:17.722 And so then, so you, you decided, we've got all the parts here, 00:25:17.832 --> 00:25:18.812 maybe you could do better. 00:25:18.927 --> 00:25:21.597 , Mark: I guess I'll just kind of start building parts myself. 00:25:21.597 --> 00:25:22.857 I gave them enough time. 00:25:22.862 --> 00:25:26.007 Like I, like, I dunno, I 00:25:26.272 --> 00:25:27.642 CJ: Google, you're on the clock, 00:25:27.967 --> 00:25:28.327 Mark: Yeah. 00:25:28.332 --> 00:25:31.477 I'm like, screw you guys, I guess I'll do it myself. 00:25:31.867 --> 00:25:35.127 And I had talked to people about this I had other nerdy friends that were like, I 00:25:35.137 --> 00:25:37.437 don't want to put cameras in my home and , presence detectors and all this stuff. 00:25:37.437 --> 00:25:39.044 And I'm like, how are you going to do that? 00:25:39.164 --> 00:25:41.724 Seriously, in my head, I'm like, how the hell are you guys going to do this? 00:25:41.904 --> 00:25:42.894 You guys are crazy. 00:25:43.314 --> 00:25:46.639 And then finally i'm i'm sitting here going Well, now I know 00:25:46.649 --> 00:25:47.349 how you're going to do it. 00:25:47.399 --> 00:25:48.419 Like I figured it out. 00:25:48.499 --> 00:25:51.099 CJ: Cause that kind of net brings us to one of the coolest posts 00:25:51.119 --> 00:25:54.849 that I've seen on your LinkedIn feed, is your, camera, right. 00:25:54.849 --> 00:25:58.609 That you've got, , AI running against that allows you to know who showed 00:25:58.609 --> 00:26:02.169 up in front of your house and if they dropped off a package or not. 00:26:02.169 --> 00:26:04.199 And talk a little bit about that. 00:26:05.109 --> 00:26:05.369 Mark: yeah. 00:26:05.369 --> 00:26:06.249 So that one's a little fun. 00:26:06.362 --> 00:26:10.092 Combine that one with , the garage, those two posts are interesting. 00:26:10.289 --> 00:26:11.739 and I'm, I'm kind of pursuing those ones. 00:26:11.892 --> 00:26:14.195 so what, those two allow me to do. 00:26:14.195 --> 00:26:18.645 So I found a platform, they've packaged up all the, OpenCV 00:26:18.985 --> 00:26:20.915 and, , all the computer vision. 00:26:20.995 --> 00:26:22.245 Packages, which is really neat. 00:26:22.469 --> 00:26:26.525 And they allow you to tap into, this cornucopia of data. 00:26:27.095 --> 00:26:32.075 And I've been able to process that data, the visual data that a computer sees. 00:26:32.525 --> 00:26:37.505 , given an IP camera stream and just a local device, so a small. 00:26:37.775 --> 00:26:42.182 Well, like a tablet or just, a phone or something small, I can process the 00:26:42.182 --> 00:26:46.322 visual data that comes in and then stream that into a vector database. 00:26:46.422 --> 00:26:46.942 Sorry, do. 00:26:47.402 --> 00:26:52.022 , and then, , from there, I can do almost , real time queries. 00:26:52.342 --> 00:26:56.262 So what I'm talking about when I say that is, , I take that data in 00:26:56.272 --> 00:26:59.857 and I take the scene and I kind of, you know, I'm going to use a word. 00:26:59.857 --> 00:27:00.987 I I'm going to call it normalize. 00:27:01.347 --> 00:27:02.507 So I normalize that data. 00:27:02.527 --> 00:27:06.937 I take the, , bits of information about that data, the tags, what's in the 00:27:06.937 --> 00:27:11.697 scene, the frames of that, , just, the overall, what's going on in this scene? 00:27:11.697 --> 00:27:12.987 What's important about this scene? 00:27:13.227 --> 00:27:15.047 I normalize that into , the vector database. 00:27:15.257 --> 00:27:16.547 Then I can actually do a search on it. 00:27:16.547 --> 00:27:20.627 So later when I come back and say What's going on, , I can do a 00:27:20.632 --> 00:27:22.517 recall of that, that data real fast. 00:27:22.617 --> 00:27:23.877 , which is really, really cool. 00:27:24.307 --> 00:27:25.657 , it allows me to do some really neat things. 00:27:25.657 --> 00:27:26.137 So 00:27:26.977 --> 00:27:36.862 CJ: Okay. 00:27:45.162 --> 00:27:46.162 Mark: is the car in the garage? 00:27:46.232 --> 00:27:48.782 What make or model of cars in the garage? 00:27:49.287 --> 00:27:51.197 And if it's at the right angle, it'll get it right. 00:27:51.247 --> 00:27:53.677 , I can actually tell it, it's a and gray Nissan Leaf. 00:27:54.157 --> 00:27:54.917 , there's no training. 00:27:55.097 --> 00:27:57.007 I have not trained this on any of this data. 00:27:57.007 --> 00:28:00.037 This is just full on what is, what's already available to it. 00:28:00.637 --> 00:28:02.807 , if I put it in the patio, it'll tell me if the sliding glass door 00:28:02.807 --> 00:28:05.147 is open or closed, it'll tell me how many people are in the patio. 00:28:05.507 --> 00:28:08.037 It'll tell me, all sorts of just nutty data. 00:28:08.200 --> 00:28:09.590 and that's without me training it. 00:28:09.895 --> 00:28:09.925 Duke: Okay. 00:28:09.925 --> 00:28:10.335 Okay. 00:28:17.845 --> 00:28:18.345 Mark: cameras. 00:28:18.395 --> 00:28:19.905 They're a W Y Z E. 00:28:20.030 --> 00:28:20.910 CJ: Oh, yeah, yeah, yeah, 00:28:21.535 --> 00:28:22.815 Mark: they're pretty cool little cameras. 00:28:23.135 --> 00:28:26.535 , the reason I picked the Wyze camera specifically, there's a model of Wyze 00:28:26.575 --> 00:28:28.675 camera called the Wyze Battery Pro. 00:28:29.195 --> 00:28:30.105 , neat little camera. 00:28:30.395 --> 00:28:31.745 It's got a 2K lens. 00:28:31.795 --> 00:28:33.215 It's got a battery pack. 00:28:33.225 --> 00:28:34.975 It is, , hot swappable. 00:28:35.560 --> 00:28:38.040 And it's got, , its own spotlight on it. 00:28:38.040 --> 00:28:42.467 It's got two way audio, wifi, weatherproof, waterproof, 00:28:42.517 --> 00:28:44.297 basically put it where you want it 00:28:44.350 --> 00:28:45.420 Outdoors, indoors. 00:28:45.854 --> 00:28:46.964 that little guy could go. 00:28:47.319 --> 00:28:51.769 Dang near anywhere and stream you data from wherever you wanted it to go. 00:28:52.215 --> 00:28:52.915 and, and, 00:28:53.115 --> 00:28:54.985 Duke: physical site security on service now. 00:28:55.415 --> 00:28:58.845 Mark: physical site security, the applications are pretty well limitless. 00:28:58.905 --> 00:29:02.885 Like we, I was thinking about, just the way out there applications, 00:29:03.025 --> 00:29:06.445 like what about, , exterminators, if you're, if you're trying to get rid of 00:29:06.575 --> 00:29:07.035 Duke: yeah. 00:29:07.075 --> 00:29:09.515 Put the camera where you can't go and just leave it there, 00:29:11.030 --> 00:29:12.210 CJ: Oh, that's, that's interesting. 00:29:12.210 --> 00:29:12.590 Yeah. 00:29:12.665 --> 00:29:15.275 Mark: I mean, that's , bottom of the barrel kind of stuff. 00:29:15.275 --> 00:29:17.715 But , even to go , from A to B, right? 00:29:17.765 --> 00:29:20.345 Think about all the crazy applications that you could 00:29:20.345 --> 00:29:21.425 do with something like that. 00:29:21.485 --> 00:29:24.815 , anything that you wanna watch that you just don't want to sit there 00:29:24.815 --> 00:29:26.282 and look at and search through. 00:29:26.582 --> 00:29:27.422 That's what that would do. 00:29:27.535 --> 00:29:28.045 Duke: man. 00:29:28.135 --> 00:29:28.605 Um, 00:29:29.470 --> 00:29:29.700 CJ: Thank you. 00:29:30.505 --> 00:29:32.585 Duke: we're going to have to do a second episode of this because we 00:29:32.585 --> 00:29:34.545 just recorded for like 45 minutes. 00:29:36.285 --> 00:29:38.895 I didn't even realize I'm like, can't be that bad. 00:29:38.895 --> 00:29:39.785 I'm thinking 20 minutes. 00:29:39.815 --> 00:29:40.505 No, no. 00:29:40.525 --> 00:29:41.345 45 minutes. 00:29:41.975 --> 00:29:42.165 All right. 00:29:42.205 --> 00:29:42.695 Shoot Mark. 00:29:42.695 --> 00:29:43.345 Unfortunately. 00:29:43.345 --> 00:29:43.835 Wow. 00:29:43.835 --> 00:29:46.185 That time just went crazy fast. 00:29:46.235 --> 00:29:51.005 , I think just given the interest in our last AI episode and how much 00:29:51.085 --> 00:29:51.805 Mark: do another one. 00:29:51.855 --> 00:29:52.485 I'm good. 00:29:52.575 --> 00:29:53.215 I'm good. 00:29:53.355 --> 00:29:56.175 Duke: We should just have you back on and go for another 45 minutes. 00:29:56.735 --> 00:29:57.675 Mark: I'm good with that. 00:29:57.745 --> 00:29:58.195 We'll do it. 00:29:58.225 --> 00:29:59.375 We'll do a hat trick. 00:29:59.695 --> 00:30:00.095 Duke: editing. 00:30:00.595 --> 00:30:01.105 Um, 00:30:03.455 --> 00:30:04.455 Mark: Rob, you know me, man. 00:30:04.545 --> 00:30:06.115 Editing is the bane of my existence too. 00:30:06.445 --> 00:30:07.085 No worries here. 00:30:07.438 --> 00:30:08.938 CJ: We still don't have an outro. 00:30:09.553 --> 00:30:10.303 Mark: absolutely. 00:30:10.348 --> 00:30:11.208 Duke: see you on the next one. 00:30:11.543 --> 00:30:12.133 Mark: Absolutely. 00:30:12.183 --> 00:30:12.463 Yeah. 00:30:12.483 --> 00:30:12.843 Love it.