1 00:00:03,920 --> 00:00:10,120 Speaker 1: Technology d couples Labor from location. We remove the geographic 2 00:00:10,360 --> 00:00:15,240 Speaker 1: restriction to hiring, because with remotely operated forklifts you can 3 00:00:15,280 --> 00:00:18,520 Speaker 1: have someone doing that exact same work in the exact 4 00:00:18,600 --> 00:00:24,000 Speaker 1: same warehouse but be sitting thousands of miles away. So 5 00:00:24,480 --> 00:00:29,600 Speaker 1: our customers are using our remote operation platform to connect 6 00:00:29,680 --> 00:00:32,520 Speaker 1: people all around the country who want need to work 7 00:00:33,280 --> 00:00:37,960 Speaker 1: with the hundreds of thousands of essential jobs that must 8 00:00:38,000 --> 00:00:44,680 Speaker 1: be filled to keep our supply chain intact. Welcome to 9 00:00:44,720 --> 00:00:48,279 Speaker 1: the restless ones. I'm Jonathan Strickland. As you may know, 10 00:00:48,479 --> 00:00:52,040 Speaker 1: I've spent the last fifteen years covering technology and learning 11 00:00:52,040 --> 00:00:56,600 Speaker 1: how it works, demystifying everything from massive parallel processing to 12 00:00:56,720 --> 00:01:02,560 Speaker 1: advanced robotics and everything in between. Yet it's the conversations 13 00:01:02,720 --> 00:01:05,600 Speaker 1: with some of the most forward thinking leaders, those at 14 00:01:05,600 --> 00:01:09,560 Speaker 1: the intersection of technology and business, that fascinate me the most. 15 00:01:11,400 --> 00:01:14,119 Speaker 1: Elliott cats and shy Magsimov are working at Phantom auto 16 00:01:14,240 --> 00:01:19,200 Speaker 1: on some really tricky challenges related to autonomous vehicles. Phantom 17 00:01:19,280 --> 00:01:23,319 Speaker 1: Auto's mission is to provide solutions that address gaps in 18 00:01:23,400 --> 00:01:27,200 Speaker 1: autonomous vehicle capabilities, and one way you can look at 19 00:01:27,240 --> 00:01:30,800 Speaker 1: that is how machines are very good at dealing with 20 00:01:30,920 --> 00:01:35,240 Speaker 1: a limited number of variables, but as you add more 21 00:01:35,360 --> 00:01:39,039 Speaker 1: and more variables and you make a system increasingly dynamic, 22 00:01:39,680 --> 00:01:43,240 Speaker 1: machines can struggle to keep up. Situations that a human 23 00:01:43,280 --> 00:01:47,319 Speaker 1: could handle by drawing on similar experiences or using free 24 00:01:47,319 --> 00:01:52,400 Speaker 1: association or trial and error are beyond machine capabilities, at 25 00:01:52,440 --> 00:01:55,520 Speaker 1: least for now anyway. And when it comes to driving 26 00:01:55,520 --> 00:01:59,960 Speaker 1: a vehicle, dynamic situations are the norm. Under controlled can 27 00:02:00,080 --> 00:02:04,200 Speaker 1: editions and autonomous system can excel, but the world is 28 00:02:04,320 --> 00:02:08,400 Speaker 1: rarely organized into such standard scenarios, and that's one area 29 00:02:08,480 --> 00:02:12,640 Speaker 1: where Phantom auto can help. The company creates solutions in 30 00:02:12,680 --> 00:02:15,880 Speaker 1: which a human operator can control a vehicle, such as 31 00:02:15,880 --> 00:02:19,360 Speaker 1: a forklift in a warehouse from a remote location in 32 00:02:19,440 --> 00:02:24,040 Speaker 1: real time. Using a combination of cameras, sensors, actuators and 33 00:02:24,080 --> 00:02:27,720 Speaker 1: wireless connectivity, the operator can control the vehicle as if 34 00:02:27,760 --> 00:02:31,240 Speaker 1: they were sitting in the driver's seat. I was beyond 35 00:02:31,320 --> 00:02:35,000 Speaker 1: excited to talk about that technology, but first I wanted 36 00:02:35,000 --> 00:02:37,800 Speaker 1: to learn more about Elliott cats, whose vision is all 37 00:02:37,840 --> 00:02:40,400 Speaker 1: about leveraging tech to make a difference in the world, 38 00:02:40,720 --> 00:02:44,760 Speaker 1: and shy Maximov, who builds solutions that make those ideas possible. 39 00:02:48,520 --> 00:02:52,960 Speaker 1: I am so excited today to have this conversation. We're 40 00:02:52,960 --> 00:02:55,239 Speaker 1: going to be talking about a lot of things that 41 00:02:55,520 --> 00:02:59,560 Speaker 1: I find absolutely fascinating and I want to welcome both 42 00:02:59,639 --> 00:03:03,440 Speaker 1: shy and Elliott to the restless ones. Welcome to the show. 43 00:03:03,919 --> 00:03:08,160 Speaker 1: Thank you, Ji. Thank you, thanks for having us so. First, Elliott, 44 00:03:08,200 --> 00:03:10,480 Speaker 1: I was wondering if you could start us off by 45 00:03:10,480 --> 00:03:13,520 Speaker 1: telling me a bit about how you first got interested 46 00:03:13,680 --> 00:03:18,880 Speaker 1: in technology. Yeah, absolutely so. I grew up in Silicon Valley, 47 00:03:19,040 --> 00:03:21,840 Speaker 1: really before it was silicon valley, but I kind of 48 00:03:22,040 --> 00:03:25,440 Speaker 1: came of edge during the first dot com boom. So 49 00:03:25,520 --> 00:03:29,680 Speaker 1: I saw from a relatively young age how quickly and 50 00:03:29,880 --> 00:03:36,200 Speaker 1: broadly technology can be adopted by society, and that's when 51 00:03:36,240 --> 00:03:39,280 Speaker 1: I really got interested, and and not so much in 52 00:03:39,560 --> 00:03:45,200 Speaker 1: technology for technology's sake, but really technology that could help 53 00:03:45,440 --> 00:03:52,920 Speaker 1: make broad, sweeping positive societal change. So I'm mainly attracted 54 00:03:52,920 --> 00:03:57,680 Speaker 1: to technology that I believe can create material net positive change, 55 00:03:58,320 --> 00:04:02,560 Speaker 1: enhancing people's safe the or their health or just the 56 00:04:02,640 --> 00:04:06,040 Speaker 1: general quality of their day to day lives. Yes, and 57 00:04:06,240 --> 00:04:09,760 Speaker 1: that DOT COM boom, that's also a time of learning, 58 00:04:09,800 --> 00:04:13,320 Speaker 1: lots of lessons. You know what is working in that 59 00:04:13,880 --> 00:04:16,920 Speaker 1: realm of technology that can make positive change in the 60 00:04:16,960 --> 00:04:20,960 Speaker 1: world versus technology that, without the proper planning, can end 61 00:04:21,040 --> 00:04:24,479 Speaker 1: up falling apart. Shy, I'm also curious about you. When 62 00:04:24,480 --> 00:04:27,279 Speaker 1: did you first start getting interested in tech? Yeah, I 63 00:04:27,279 --> 00:04:29,720 Speaker 1: got a slightly different story than Eliot I. I grew 64 00:04:29,800 --> 00:04:32,840 Speaker 1: up in Jerusalem, in Israel, so pretty far away from 65 00:04:32,839 --> 00:04:35,880 Speaker 1: Silicon Valley. I remember when I was six seven years old, 66 00:04:36,120 --> 00:04:37,960 Speaker 1: I used to wake up at night and see my 67 00:04:38,040 --> 00:04:40,360 Speaker 1: dad playing video games. So my dad was a video 68 00:04:40,360 --> 00:04:42,400 Speaker 1: game addict. So I saw that growing up and I 69 00:04:42,440 --> 00:04:47,000 Speaker 1: got into computers, playing within real time multiplayer on the computer, 70 00:04:47,120 --> 00:04:49,480 Speaker 1: connecting land and and things like that. So that's how 71 00:04:49,480 --> 00:04:52,320 Speaker 1: I got, you know, my my initial passion to computers. 72 00:04:52,480 --> 00:04:55,719 Speaker 1: I started to learn about networking communication and had a 73 00:04:55,760 --> 00:04:59,920 Speaker 1: deep passion for wireless connectivity and built on communications. Later 74 00:05:00,120 --> 00:05:03,800 Speaker 1: on I got to white combinator and went to Silicon 75 00:05:03,839 --> 00:05:06,360 Speaker 1: Valley for the first time. I barely spoke the language 76 00:05:06,400 --> 00:05:09,000 Speaker 1: at the time and that came in and presented the company. 77 00:05:09,080 --> 00:05:11,240 Speaker 1: We were doing at the time, some e commerce social 78 00:05:11,320 --> 00:05:13,480 Speaker 1: website that turned into a search engine that later got 79 00:05:13,480 --> 00:05:16,800 Speaker 1: acquired by Apple. So it was an interesting journey there. 80 00:05:17,080 --> 00:05:19,200 Speaker 1: But I would say, you know, for me, technology is always, 81 00:05:19,279 --> 00:05:22,360 Speaker 1: you know, something that is fascinating just seeing it and 82 00:05:22,400 --> 00:05:24,880 Speaker 1: what it could change in this world. What the things 83 00:05:24,880 --> 00:05:27,640 Speaker 1: that you can create and build makes you so excited 84 00:05:27,960 --> 00:05:30,840 Speaker 1: to do something that really matters. Shall you touched on 85 00:05:30,880 --> 00:05:33,440 Speaker 1: something I definitely wanted to ask you about, because having 86 00:05:33,480 --> 00:05:36,479 Speaker 1: someone who is a serial founder of companies is really 87 00:05:36,520 --> 00:05:39,520 Speaker 1: exciting for me. What is it that motivates you when 88 00:05:39,520 --> 00:05:41,960 Speaker 1: you're founding these companies? Is it just that you you 89 00:05:42,000 --> 00:05:43,880 Speaker 1: have a spark of an idea and you have to 90 00:05:43,880 --> 00:05:46,720 Speaker 1: see it to fruition? For me, it's a deep passion 91 00:05:46,760 --> 00:05:49,520 Speaker 1: for technology. You know, I was inspired by the Steve 92 00:05:49,600 --> 00:05:51,760 Speaker 1: Jobs and the Mark Zuckerberg of the world when I was, 93 00:05:51,839 --> 00:05:54,600 Speaker 1: you know, a teenager already, and you know then there's 94 00:05:54,600 --> 00:05:57,120 Speaker 1: solving big problems, changing the world as the results and 95 00:05:57,160 --> 00:06:00,960 Speaker 1: doing something that matters and leading teams building something that 96 00:06:01,120 --> 00:06:04,040 Speaker 1: can really, technologically speaking, make a leap in in our 97 00:06:04,120 --> 00:06:06,280 Speaker 1: day to day and how we used to do stuff. 98 00:06:06,680 --> 00:06:09,719 Speaker 1: Just a be passion for technology. Elliott, we're going to 99 00:06:09,720 --> 00:06:11,960 Speaker 1: be talking about things that have kind of a then 100 00:06:12,040 --> 00:06:17,240 Speaker 1: diagram overlap of autonomous vehicles. Did you become interested in 101 00:06:17,440 --> 00:06:20,800 Speaker 1: autonomous vehicles, partly because this is a technology that is 102 00:06:20,920 --> 00:06:25,039 Speaker 1: poised to have a tremendous positive impact if we get 103 00:06:25,040 --> 00:06:28,800 Speaker 1: the technology right. Yeah, that's exactly right. You know, as 104 00:06:28,839 --> 00:06:32,599 Speaker 1: I said before, I'm attracted to technology that I believe 105 00:06:32,720 --> 00:06:36,880 Speaker 1: can create material net positive change. And when it comes 106 00:06:36,920 --> 00:06:42,000 Speaker 1: to our current status quo with passenger vehicles, for example, 107 00:06:42,680 --> 00:06:47,640 Speaker 1: more than one point three million people die from traffic 108 00:06:47,680 --> 00:06:51,960 Speaker 1: accidents every year worldwide and, to put that into a 109 00:06:52,040 --> 00:06:57,839 Speaker 1: pretty sobering perspective, that death toll is equivalent to nearly 110 00:06:58,040 --> 00:07:02,920 Speaker 1: eight fully loaded, seven forty seven airplanes crashing every single 111 00:07:03,040 --> 00:07:06,400 Speaker 1: day in a given year in killing everyone on board. 112 00:07:06,920 --> 00:07:09,240 Speaker 1: So you know, if that amount of planes fell out 113 00:07:09,240 --> 00:07:12,119 Speaker 1: of the sky for even a week, we would likely 114 00:07:12,160 --> 00:07:16,080 Speaker 1: shut down aviation as we know it. But for whatever 115 00:07:16,120 --> 00:07:19,680 Speaker 1: reason we've kind of just accepted the fact that a 116 00:07:19,720 --> 00:07:22,480 Speaker 1: certain amount of people are going to die each year 117 00:07:22,600 --> 00:07:26,320 Speaker 1: driving on our roads. And I really am a true 118 00:07:26,360 --> 00:07:32,400 Speaker 1: believer that autonomous vehicles can and eventually will change that. 119 00:07:32,560 --> 00:07:35,680 Speaker 1: It's going to take a lot of time and a 120 00:07:35,720 --> 00:07:39,840 Speaker 1: lot of hard work, obviously, to make that change, but 121 00:07:39,960 --> 00:07:43,480 Speaker 1: I think that, you know, given that factual backdrop, our 122 00:07:43,520 --> 00:07:48,280 Speaker 1: current status quo, it's a very worthwhile pursuit. And Elliott, 123 00:07:48,280 --> 00:07:50,760 Speaker 1: you've tapped into something that I think really helps define 124 00:07:50,800 --> 00:07:54,040 Speaker 1: restless ones, this idea of just because things are this 125 00:07:54,080 --> 00:07:56,400 Speaker 1: way now doesn't mean that's how they have to be 126 00:07:57,000 --> 00:08:00,080 Speaker 1: and that, through the application of technology, we can and 127 00:08:00,440 --> 00:08:05,200 Speaker 1: envision and make that change. So Elliott, the Society of 128 00:08:05,240 --> 00:08:10,160 Speaker 1: automotive engineers a while back define levels of autonomy from 129 00:08:10,280 --> 00:08:13,200 Speaker 1: zero to five. Zero being there are no real driver 130 00:08:13,280 --> 00:08:16,119 Speaker 1: assist features to speak of in the vehicle. Five being 131 00:08:16,720 --> 00:08:19,760 Speaker 1: the vehicle does everything and there's no need for human 132 00:08:20,400 --> 00:08:22,880 Speaker 1: oversight at all. When I talk to people I say 133 00:08:22,880 --> 00:08:26,440 Speaker 1: we're probably to maybe on the cusp of three, but 134 00:08:26,560 --> 00:08:31,200 Speaker 1: as that being too cynical, too pessimistic. Listen, we definitely 135 00:08:31,240 --> 00:08:34,440 Speaker 1: have level two vehicles out on the road today and 136 00:08:34,480 --> 00:08:39,080 Speaker 1: that's that's basically advanced driver assistance right. An easy example 137 00:08:39,200 --> 00:08:42,920 Speaker 1: is Tesla auto pilot. But when we're talking about, you know, 138 00:08:42,960 --> 00:08:47,320 Speaker 1: what I would call truly autonomous vehicles, we do have 139 00:08:47,400 --> 00:08:54,120 Speaker 1: an extremely small volume of level four vehicles that exists today. 140 00:08:54,120 --> 00:08:59,160 Speaker 1: A level four meaning the vehicles are truly autonomous. You 141 00:08:59,200 --> 00:09:01,360 Speaker 1: can be sitting in the back seat of the car 142 00:09:01,520 --> 00:09:03,800 Speaker 1: with no one sitting in the passenger seat or up 143 00:09:03,800 --> 00:09:05,960 Speaker 1: front at all, but you can only do so in 144 00:09:06,080 --> 00:09:12,400 Speaker 1: certain very specific operational design domains, which means the vehicles 145 00:09:12,440 --> 00:09:15,640 Speaker 1: can only travel at certain times a day in very 146 00:09:15,720 --> 00:09:21,280 Speaker 1: limited weather conditions and in very limited geographic areas. So 147 00:09:21,800 --> 00:09:27,120 Speaker 1: to expand to more vehicles operating in larger geographic areas, 148 00:09:27,160 --> 00:09:30,120 Speaker 1: in in areas where there may be rain or even 149 00:09:30,200 --> 00:09:34,960 Speaker 1: snow that is going to be very, very difficult. And 150 00:09:35,040 --> 00:09:39,680 Speaker 1: the issue is just how hard this problem is to solve, 151 00:09:39,720 --> 00:09:43,040 Speaker 1: because if you think about it, if every day today, 152 00:09:43,120 --> 00:09:45,960 Speaker 1: when you drive to work, you have to make an 153 00:09:46,040 --> 00:09:49,360 Speaker 1: unprotected left hand turn, you know that you, the driver 154 00:09:49,559 --> 00:09:53,239 Speaker 1: in the car, are very, very likely going to successfully 155 00:09:53,240 --> 00:09:56,800 Speaker 1: make that unprotected left turn a hundred percent of the time. 156 00:09:57,160 --> 00:09:59,720 Speaker 1: And for an autonomous vehicle it has to be the 157 00:09:59,760 --> 00:10:02,960 Speaker 1: same right and if an autonomous vehicle makes that turn 158 00:10:03,040 --> 00:10:08,280 Speaker 1: successfully nine times in a row but crashes on the 159 00:10:08,480 --> 00:10:14,720 Speaker 1: thousandth attempt, that's arguably the worst automotive grade product in history. 160 00:10:15,080 --> 00:10:19,439 Speaker 1: So it's an extremely high safety bar that the autonomous 161 00:10:19,480 --> 00:10:22,640 Speaker 1: vehicle players need to hit and again, it's going to 162 00:10:22,679 --> 00:10:26,360 Speaker 1: take a very long time to get there, but I 163 00:10:26,640 --> 00:10:30,280 Speaker 1: do believe that it's a very worthwhile pursuit. Yeah, shy, 164 00:10:30,480 --> 00:10:32,760 Speaker 1: can you talk a little bit about the guiding principle 165 00:10:32,800 --> 00:10:35,880 Speaker 1: early on with Phantom motto. Yeah, it comes from my 166 00:10:35,920 --> 00:10:39,200 Speaker 1: experience with wireless connectivity and Communication. You know, as we're 167 00:10:39,240 --> 00:10:41,840 Speaker 1: talking right now, we can be in different places at 168 00:10:41,840 --> 00:10:44,600 Speaker 1: the different times and still hear each other, see each 169 00:10:44,600 --> 00:10:47,079 Speaker 1: other and help each other. Right. And when it comes 170 00:10:47,120 --> 00:10:49,520 Speaker 1: to the future of technologies, when you look at the 171 00:10:49,640 --> 00:10:51,800 Speaker 1: four g even and then five g and sixty in 172 00:10:51,800 --> 00:10:54,480 Speaker 1: the future we're going to have more and more wireless 173 00:10:54,640 --> 00:10:58,600 Speaker 1: connectivity and infrastructure and also technologies that would allow us 174 00:10:58,640 --> 00:11:02,000 Speaker 1: to almost be in a different place in real time. 175 00:11:02,160 --> 00:11:04,760 Speaker 1: You're not actually going to be there physically, but you 176 00:11:04,760 --> 00:11:07,880 Speaker 1: will be able to help out. And we're looking at AI. 177 00:11:07,960 --> 00:11:10,520 Speaker 1: You know, I remember when it started Phantom, before I 178 00:11:10,559 --> 00:11:12,880 Speaker 1: came up with the idea, I started working on autonomous 179 00:11:12,920 --> 00:11:16,760 Speaker 1: system and I built my first AI application. And getting 180 00:11:17,120 --> 00:11:21,400 Speaker 1: a data set online gets you of accuracy, and then 181 00:11:21,480 --> 00:11:24,040 Speaker 1: everything else is getting more and more difficult as you 182 00:11:24,080 --> 00:11:27,200 Speaker 1: continue to develop your software and machine learning and practice 183 00:11:27,280 --> 00:11:29,840 Speaker 1: more data. But it doesn't just get more difficult linear, 184 00:11:29,920 --> 00:11:32,439 Speaker 1: it gets more exponential as you go towards the top. 185 00:11:32,480 --> 00:11:35,479 Speaker 1: Once you're a ninet, you need trillions of data sets. 186 00:11:35,480 --> 00:11:38,240 Speaker 1: So when we're looking at the technologies they're there. The 187 00:11:38,280 --> 00:11:41,480 Speaker 1: problem is they can't cover the entire all the use cases, 188 00:11:41,520 --> 00:11:43,679 Speaker 1: all the edge cases. And then I thought what if, 189 00:11:43,840 --> 00:11:48,120 Speaker 1: with low latency communication, somebody can help out? It doesn't 190 00:11:48,120 --> 00:11:50,080 Speaker 1: mean that they can jump in in the middle of driving, 191 00:11:50,400 --> 00:11:52,760 Speaker 1: but if the vehicle recognized it as a problem and 192 00:11:52,800 --> 00:11:55,520 Speaker 1: then it can slow down and stop in place, wait 193 00:11:55,600 --> 00:11:59,240 Speaker 1: until someone remotely connects to it to figure out whether 194 00:11:59,280 --> 00:12:01,920 Speaker 1: they need to to the sideway of the world or 195 00:12:02,080 --> 00:12:04,840 Speaker 1: continue to do something around an object that is an 196 00:12:04,880 --> 00:12:07,800 Speaker 1: obstacle that's in front of it. Broad construction areas, right, 197 00:12:07,800 --> 00:12:10,080 Speaker 1: whether conditions. So that's when I thought, you know what 198 00:12:10,160 --> 00:12:12,320 Speaker 1: if we have that human capability? So I started working 199 00:12:12,400 --> 00:12:16,040 Speaker 1: on an engine for a video communication and data that 200 00:12:16,080 --> 00:12:18,600 Speaker 1: allows you basically to see what's going on from the 201 00:12:18,640 --> 00:12:22,280 Speaker 1: sensors like human, not like a machine. Right then be 202 00:12:22,360 --> 00:12:24,839 Speaker 1: able to send commands back to the vehicle, assist the 203 00:12:24,920 --> 00:12:28,480 Speaker 1: vehicle or remotely driving in certain cases that are very limited, 204 00:12:28,520 --> 00:12:32,959 Speaker 1: at the speed, limited the constraints, and that basically resulted 205 00:12:32,960 --> 00:12:34,679 Speaker 1: in the idea of a human in the loop. Right. 206 00:12:34,720 --> 00:12:37,720 Speaker 1: So think about someone that can be sitting far away 207 00:12:37,760 --> 00:12:40,120 Speaker 1: from where the vehicle is and getting a request. Hey 208 00:12:40,160 --> 00:12:42,440 Speaker 1: know there's a vehicle in trouble here, can you help out? 209 00:12:42,480 --> 00:12:45,040 Speaker 1: They assess the situation and, depends on the conditions, they 210 00:12:45,040 --> 00:12:47,199 Speaker 1: can help out in different paths. Right some would be 211 00:12:47,200 --> 00:12:50,720 Speaker 1: a bit more involved than others. That was the general idea. 212 00:12:50,840 --> 00:12:53,960 Speaker 1: But more than that, something that we keep forgetting is 213 00:12:54,160 --> 00:12:56,640 Speaker 1: computers have been out there now for forty or fifty 214 00:12:56,720 --> 00:12:59,760 Speaker 1: years and there's still not perfect. There's no single computer 215 00:12:59,800 --> 00:13:01,679 Speaker 1: syst them that you can say hey, no, that can 216 00:13:01,720 --> 00:13:05,320 Speaker 1: never fail. It's a hundred percent secure from anything in 217 00:13:05,440 --> 00:13:08,480 Speaker 1: any bugs, any edge cases, and I think that combination 218 00:13:08,520 --> 00:13:11,479 Speaker 1: of machines and human at the same time is the strongest. 219 00:13:11,640 --> 00:13:15,400 Speaker 1: If we can work together to accomplish autonomy, it's going 220 00:13:15,440 --> 00:13:17,080 Speaker 1: to be much better and it's not this kind of 221 00:13:17,160 --> 00:13:20,520 Speaker 1: a vivid idea of like a rosy picture of people 222 00:13:20,559 --> 00:13:23,000 Speaker 1: and computers. I think we practice it every day when 223 00:13:23,040 --> 00:13:25,400 Speaker 1: we're working on our computers and we see that there's 224 00:13:25,440 --> 00:13:27,559 Speaker 1: certain things that we still gotta do, and I believe 225 00:13:27,559 --> 00:13:29,040 Speaker 1: it that and I think that's not going to change. 226 00:13:29,040 --> 00:13:30,640 Speaker 1: I think that's going to be the next couple of 227 00:13:30,640 --> 00:13:32,520 Speaker 1: decades to come. We're still going to need to have 228 00:13:32,760 --> 00:13:36,280 Speaker 1: human in the loop in every computer system, especially mission 229 00:13:36,280 --> 00:13:39,000 Speaker 1: critical systems that we all depended on and we need 230 00:13:39,000 --> 00:13:40,800 Speaker 1: that for our psychology and we need that to make 231 00:13:40,800 --> 00:13:42,800 Speaker 1: them work and we need that to really deploy autonomous 232 00:13:42,840 --> 00:13:46,320 Speaker 1: vehicles at scale. That's it must have. Yeah, you've touched 233 00:13:46,360 --> 00:13:48,280 Speaker 1: on so much that I love to talk about on 234 00:13:48,360 --> 00:13:51,640 Speaker 1: this show, like I love the idea of Ai being 235 00:13:51,679 --> 00:13:56,160 Speaker 1: more about augmented intelligence, where the AI and the humans 236 00:13:56,640 --> 00:14:00,040 Speaker 1: are working together so that the AI is an a 237 00:14:00,080 --> 00:14:03,200 Speaker 1: willing people to do their jobs better than they could before, 238 00:14:03,360 --> 00:14:06,840 Speaker 1: as opposed to the AI has stepped in and humans 239 00:14:06,840 --> 00:14:10,800 Speaker 1: have become unnecessary. I find it phenomenal that the convergence 240 00:14:10,840 --> 00:14:15,200 Speaker 1: and technologies have enabled this approach, largely in the sense 241 00:14:15,240 --> 00:14:18,560 Speaker 1: of of that low latency, because that was, I think, 242 00:14:18,600 --> 00:14:22,080 Speaker 1: a huge hurdle for us to overcome, and we're entering 243 00:14:22,120 --> 00:14:24,920 Speaker 1: into a world where we're getting that same sort of 244 00:14:24,960 --> 00:14:29,440 Speaker 1: low latency, high throughput capability, but now we're not constrained 245 00:14:29,480 --> 00:14:32,240 Speaker 1: by tethers, which obviously, in the in the case of 246 00:14:32,800 --> 00:14:37,880 Speaker 1: being able to potentially control a car remotely, is absolutely critical. Right. 247 00:14:37,920 --> 00:14:40,560 Speaker 1: You can't have any latency there. When you're talking about 248 00:14:40,600 --> 00:14:43,720 Speaker 1: moving a vehicle that has some form of cargo in it, 249 00:14:43,800 --> 00:14:46,640 Speaker 1: whether it's people or products or whatever, and there are 250 00:14:46,680 --> 00:14:49,440 Speaker 1: other vehicles on that road as well. There are real 251 00:14:49,520 --> 00:14:51,480 Speaker 1: time events that are happening, so you have to be 252 00:14:51,520 --> 00:14:54,320 Speaker 1: able to see and react in that real time as 253 00:14:54,360 --> 00:14:56,560 Speaker 1: if you were physically behind the wheel of the car. 254 00:14:57,000 --> 00:15:01,520 Speaker 1: I'm very curious about what your approach was to ensure 255 00:15:02,000 --> 00:15:07,200 Speaker 1: that low latency, to enable this technology. Right. So we 256 00:15:07,240 --> 00:15:09,480 Speaker 1: can talk about the approach of specifically how we solve 257 00:15:09,560 --> 00:15:12,760 Speaker 1: for low latency and communication, but before we get there, 258 00:15:12,800 --> 00:15:15,560 Speaker 1: I think just taking a look at the history, right. 259 00:15:15,560 --> 00:15:17,800 Speaker 1: So we started a couple of decades ago. I think 260 00:15:18,080 --> 00:15:19,960 Speaker 1: even when I was a child, like ten years ago, 261 00:15:20,160 --> 00:15:22,360 Speaker 1: video communication like the one we're having now, you know, 262 00:15:22,440 --> 00:15:24,720 Speaker 1: that didn't exist at the time, and let alone like 263 00:15:24,760 --> 00:15:27,080 Speaker 1: twenty years ago, when it was only just giant phones, 264 00:15:27,160 --> 00:15:28,840 Speaker 1: when I don't even have to make a phone call 265 00:15:28,880 --> 00:15:30,800 Speaker 1: and you barely can hear the other person, you know. 266 00:15:30,840 --> 00:15:33,640 Speaker 1: So you can see that there's progress and evolution around 267 00:15:33,800 --> 00:15:36,720 Speaker 1: communication that is definitely trending in the right direction to 268 00:15:37,120 --> 00:15:40,480 Speaker 1: enable things like that. If you read online about five 269 00:15:40,560 --> 00:15:43,920 Speaker 1: g low latency capabilities and and in the future of 270 00:15:43,960 --> 00:15:46,920 Speaker 1: things like six G, everything points that we're working on 271 00:15:47,000 --> 00:15:50,520 Speaker 1: getting low latency communication. So first of all places or 272 00:15:50,560 --> 00:15:52,480 Speaker 1: areas where it may not be the case yet, it 273 00:15:52,520 --> 00:15:55,040 Speaker 1: will happen eventually and we're a big believer in that. 274 00:15:55,200 --> 00:15:57,400 Speaker 1: So that's number one. Number two is the design of 275 00:15:57,440 --> 00:16:01,760 Speaker 1: the vehicle. We believe that the vehicle safety sensor system 276 00:16:01,960 --> 00:16:05,760 Speaker 1: must be intact in order for a remote operator to 277 00:16:05,800 --> 00:16:08,480 Speaker 1: get in. So meaning if the safety system is disabled 278 00:16:08,600 --> 00:16:10,960 Speaker 1: or not working or as a problem that dissevered with 279 00:16:10,960 --> 00:16:13,680 Speaker 1: the vehicle, the human operator will not intervene with the vehicle. 280 00:16:13,800 --> 00:16:16,560 Speaker 1: They can guide, they can give some information, some logs 281 00:16:16,600 --> 00:16:18,880 Speaker 1: and pointing a direction to the vehicle, but they can't 282 00:16:18,880 --> 00:16:20,680 Speaker 1: really drive it. They can only drive it when the 283 00:16:20,720 --> 00:16:23,640 Speaker 1: safety system is working, and the safety system is the 284 00:16:23,680 --> 00:16:26,480 Speaker 1: baseline protection of the vehicle. That's how we should think 285 00:16:26,520 --> 00:16:28,440 Speaker 1: about it, almost like a guardian. Think about like a 286 00:16:28,480 --> 00:16:31,480 Speaker 1: circle around the vehicle, like your Aida System Today, and 287 00:16:31,560 --> 00:16:35,480 Speaker 1: the idea is that the remote operator can communicate with 288 00:16:35,520 --> 00:16:38,080 Speaker 1: that system and say, Hey, you know, you're now detecting 289 00:16:38,080 --> 00:16:41,240 Speaker 1: an object, but listen, if you reduce that distance from 290 00:16:41,280 --> 00:16:44,000 Speaker 1: an object but another a couple of inches backwards, closer 291 00:16:44,040 --> 00:16:47,840 Speaker 1: to the vehicle, then you will be allowed to proceed. Right. 292 00:16:47,960 --> 00:16:50,320 Speaker 1: So that that's a huge idea. Now it's all within 293 00:16:50,840 --> 00:16:54,640 Speaker 1: predefined area of operation. So again we have a guardian 294 00:16:54,680 --> 00:16:56,320 Speaker 1: for the vehicle, and this is one of the reasons 295 00:16:56,520 --> 00:16:59,720 Speaker 1: why we are not working with forklifts in warehouses, where 296 00:17:00,120 --> 00:17:02,440 Speaker 1: you don't have that same problem like auton was vehicles, 297 00:17:02,480 --> 00:17:05,280 Speaker 1: where their safety systems are just not not there yet. 298 00:17:05,320 --> 00:17:08,440 Speaker 1: You know, they're overly conservative. You can't really adjust them 299 00:17:08,480 --> 00:17:10,720 Speaker 1: because there's too much risk on the table. And we're 300 00:17:10,760 --> 00:17:13,320 Speaker 1: looking at the forklift in the warehouse. The speed is 301 00:17:13,400 --> 00:17:15,600 Speaker 1: much lower, so you're allowed to work together with the 302 00:17:15,600 --> 00:17:17,920 Speaker 1: safety system to achieve the task, which is to drive 303 00:17:17,960 --> 00:17:20,440 Speaker 1: to somewhere, pick up a palette, places on the racks 304 00:17:20,520 --> 00:17:22,880 Speaker 1: or load the truck and so on. Some places really 305 00:17:23,000 --> 00:17:26,280 Speaker 1: have a bad network right as five g continues to 306 00:17:26,520 --> 00:17:29,679 Speaker 1: roll out in different places all around the country. We 307 00:17:30,000 --> 00:17:32,320 Speaker 1: have a niche today that we're very successful at and 308 00:17:32,359 --> 00:17:35,439 Speaker 1: we're proud that we're making impact in the labor and 309 00:17:35,480 --> 00:17:38,760 Speaker 1: logistics where the market really needs Phantom today, and that's 310 00:17:38,800 --> 00:17:41,000 Speaker 1: in closed environment. Right. So in the closed environment, when 311 00:17:41,000 --> 00:17:45,200 Speaker 1: you have a warehouse or the yard operation areas where 312 00:17:45,240 --> 00:17:47,639 Speaker 1: you can actually install better network conditions, you know if 313 00:17:47,640 --> 00:17:49,280 Speaker 1: you have an issue with the networking, you know, you 314 00:17:49,320 --> 00:17:51,640 Speaker 1: map the network, you see that there's not enough bandwidth 315 00:17:51,680 --> 00:17:55,040 Speaker 1: for upload or download and and basically your request to 316 00:17:55,080 --> 00:17:57,639 Speaker 1: get a better network conditions in this specific area. And 317 00:17:57,680 --> 00:18:00,159 Speaker 1: there we go. So that's the infrastructure side. Now the 318 00:18:00,200 --> 00:18:03,440 Speaker 1: text site. We have the ability to bond multiple networks. 319 00:18:03,520 --> 00:18:05,000 Speaker 1: You can think of it as it can be a 320 00:18:05,000 --> 00:18:09,119 Speaker 1: couple of networks together. Each packet of our software is 321 00:18:09,160 --> 00:18:12,159 Speaker 1: being sent to the best network available, right. So you 322 00:18:12,160 --> 00:18:15,919 Speaker 1: have basically packets routing and each package that its own criticality. Right. 323 00:18:15,960 --> 00:18:18,000 Speaker 1: So if you have a data channel versus a video 324 00:18:18,040 --> 00:18:20,040 Speaker 1: channel and the data is to break system, so you 325 00:18:20,119 --> 00:18:22,280 Speaker 1: have to have that over all the channels, to have 326 00:18:22,359 --> 00:18:25,840 Speaker 1: multiple redundancy layers where you know something that is less important. Right. 327 00:18:25,880 --> 00:18:28,120 Speaker 1: So we have some prioritization and bonding systems that would 328 00:18:28,119 --> 00:18:31,000 Speaker 1: build some deep technology and I P that. You know, 329 00:18:31,080 --> 00:18:33,280 Speaker 1: we spent a lot of time with money working on 330 00:18:33,320 --> 00:18:35,040 Speaker 1: the first couple of years of the company. That same 331 00:18:35,040 --> 00:18:38,600 Speaker 1: technology works for cars, for trucks, for forklifts, for you know, 332 00:18:38,680 --> 00:18:41,639 Speaker 1: delivery robots, and we believe again, as the future and 333 00:18:41,680 --> 00:18:44,240 Speaker 1: infrastructure continuous to evolve, that's going to apply there as well. 334 00:18:45,119 --> 00:18:48,679 Speaker 1: And I definitely want to talk more about the forklifts 335 00:18:48,680 --> 00:18:51,520 Speaker 1: in particular. Can you talk a bit about some of 336 00:18:52,240 --> 00:18:55,560 Speaker 1: the challenges that this remote operation helps solve? I know 337 00:18:55,640 --> 00:18:59,600 Speaker 1: that like labor shortage being a huge one, obviously. So, 338 00:19:00,040 --> 00:19:04,199 Speaker 1: first of all, we are squarely in the logistics sector. 339 00:19:04,600 --> 00:19:08,679 Speaker 1: Our hottest application right now is remotely operated forklifts. We 340 00:19:08,760 --> 00:19:12,879 Speaker 1: also do work with yard trucks and distribution center yards and, 341 00:19:13,080 --> 00:19:16,200 Speaker 1: first and last, mild delivery with robots. But when you're 342 00:19:16,200 --> 00:19:18,639 Speaker 1: talking about the logistics space, you hit the nail on 343 00:19:18,680 --> 00:19:21,719 Speaker 1: the head right. There's been a labor shortage in the 344 00:19:21,760 --> 00:19:26,000 Speaker 1: sector for decades. That's become much more acute in the 345 00:19:26,040 --> 00:19:29,879 Speaker 1: past couple of years, in which many believe, for a 346 00:19:30,000 --> 00:19:34,960 Speaker 1: myriad of factors, is our new status quo. And our 347 00:19:35,000 --> 00:19:40,560 Speaker 1: customers have traditionally had to hire, for example, forklift operators 348 00:19:40,600 --> 00:19:46,120 Speaker 1: that are in commuting distance of their facilities. But our 349 00:19:46,240 --> 00:19:52,199 Speaker 1: Technology d couples Labor from location right we remove the 350 00:19:52,280 --> 00:19:57,919 Speaker 1: geographic restriction to hiring because with remotely operated forklifts you 351 00:19:57,960 --> 00:20:01,119 Speaker 1: can have someone doing that exact same work in the 352 00:20:01,160 --> 00:20:04,359 Speaker 1: exact same warehouse but be sitting, you know, up to 353 00:20:04,600 --> 00:20:08,840 Speaker 1: thousands of miles away. So instead of having to hire 354 00:20:08,960 --> 00:20:13,800 Speaker 1: people only within commuting distance of the facility. We're turning 355 00:20:13,880 --> 00:20:19,080 Speaker 1: that Labor pool into literally anyone located pretty much anywhere. 356 00:20:19,960 --> 00:20:25,040 Speaker 1: So our customers are using our remote operation platform to 357 00:20:25,800 --> 00:20:28,800 Speaker 1: connect people all around the country who want need to 358 00:20:28,840 --> 00:20:32,320 Speaker 1: work right especially coming out of the pandemic, with the 359 00:20:32,440 --> 00:20:37,240 Speaker 1: hundreds of thousands of essential jobs that must be filled 360 00:20:37,560 --> 00:20:42,960 Speaker 1: to keep our supply chain intact. Labor is the key 361 00:20:43,160 --> 00:20:46,840 Speaker 1: top line problem right now for our customer base. Yeah, 362 00:20:46,920 --> 00:20:49,720 Speaker 1: I didn't have a deep appreciation for how delicate the 363 00:20:49,760 --> 00:20:53,119 Speaker 1: supply chain was until the pandemic and we saw the 364 00:20:53,160 --> 00:20:56,720 Speaker 1: disruption of the supply chain acted out on a global scale, 365 00:20:57,160 --> 00:21:02,080 Speaker 1: affecting every industry, particular lead computer and Electronics Industries, as 366 00:21:02,119 --> 00:21:08,120 Speaker 1: the semiconductor shortage exacerbated that problem, and I realized that 367 00:21:08,200 --> 00:21:10,760 Speaker 1: you could think of the supply chain operating almost like 368 00:21:10,880 --> 00:21:16,320 Speaker 1: an electric utility and that it's frequently operating near Max 369 00:21:16,400 --> 00:21:20,160 Speaker 1: capacity and that anything that would push it beyond that. 370 00:21:20,240 --> 00:21:24,040 Speaker 1: Suddenly you realize how delicate the system was and when 371 00:21:24,080 --> 00:21:27,080 Speaker 1: you pair that also with this growing trend of a 372 00:21:27,119 --> 00:21:31,560 Speaker 1: desire to work remotely, which is happening both in white 373 00:21:31,560 --> 00:21:35,120 Speaker 1: color and blue color jobs, you realize that this is 374 00:21:35,240 --> 00:21:37,800 Speaker 1: also a solution for that as well, where it enables 375 00:21:37,840 --> 00:21:40,440 Speaker 1: people to have that kind of life where they are 376 00:21:40,480 --> 00:21:45,040 Speaker 1: able to work remotely. If covid taught us anything, it's that, 377 00:21:45,640 --> 00:21:48,360 Speaker 1: you know, remote work is probably here to stay. Right 378 00:21:48,440 --> 00:21:51,760 Speaker 1: the face of work, I believe, has changed forever, but 379 00:21:52,040 --> 00:21:55,639 Speaker 1: times like Covid have taught us that there are times 380 00:21:55,720 --> 00:21:58,679 Speaker 1: when remote work isn't just a nice to have, it 381 00:21:58,800 --> 00:22:02,280 Speaker 1: is a half to have. And what we're doing is 382 00:22:02,400 --> 00:22:08,480 Speaker 1: we're providing warehouse workers that same privilege to work remotely. Right, 383 00:22:09,000 --> 00:22:14,320 Speaker 1: I think that we have an ability to positively impact 384 00:22:14,760 --> 00:22:18,840 Speaker 1: the lives of, you know, the backbone of our supply chain, 385 00:22:18,960 --> 00:22:22,879 Speaker 1: these warehouse workers, while at the same time providing a 386 00:22:23,000 --> 00:22:28,240 Speaker 1: technology to their employers that is solving one of their 387 00:22:28,280 --> 00:22:33,399 Speaker 1: major challenges, which is not only finding labor but retaining 388 00:22:33,440 --> 00:22:36,040 Speaker 1: that Labor right, because a lot of times working in 389 00:22:36,080 --> 00:22:40,080 Speaker 1: a warehouse is really hard work in a pretty tough environment, 390 00:22:40,240 --> 00:22:43,240 Speaker 1: and their safety issues. To write. One in ten forklifts 391 00:22:43,280 --> 00:22:46,240 Speaker 1: are involved in a in an accident each year which 392 00:22:46,280 --> 00:22:51,120 Speaker 1: can cause, you know, serious injury, sometimes even death, unfortunately. 393 00:22:51,520 --> 00:22:55,040 Speaker 1: So if you can remove those operators out of that 394 00:22:55,359 --> 00:23:01,359 Speaker 1: potentially hazardous and definitely uncomfortable environment in put them into 395 00:23:01,800 --> 00:23:05,000 Speaker 1: an office environment where they're sitting with other colleagues and 396 00:23:05,040 --> 00:23:07,640 Speaker 1: they're doing the exact same job, but you know, it's 397 00:23:07,680 --> 00:23:09,960 Speaker 1: seventy degrees and they can have a cup of coffee 398 00:23:09,960 --> 00:23:14,040 Speaker 1: while doing that. We strongly believe that that is going 399 00:23:14,080 --> 00:23:17,359 Speaker 1: to be preferred by both sides, meaning the employers, the 400 00:23:17,400 --> 00:23:25,760 Speaker 1: companies and also their workforce. Conventional Thinking says you have 401 00:23:25,880 --> 00:23:28,360 Speaker 1: to pay more to get more. I want the world, 402 00:23:28,560 --> 00:23:31,719 Speaker 1: but t mobile for business uses unconventional thinking to deliver 403 00:23:31,800 --> 00:23:35,080 Speaker 1: premium benefits for better R O I, from customized five 404 00:23:35,119 --> 00:23:37,840 Speaker 1: g solutions to three sixty support. We help you reach 405 00:23:37,840 --> 00:23:42,080 Speaker 1: your business goals right now. I want it now, innovating 406 00:23:42,119 --> 00:23:46,200 Speaker 1: to improve business today and tomorrow. That's unconventional thinking from 407 00:23:46,240 --> 00:23:49,199 Speaker 1: t mobile for business. Capable device required covers are available 408 00:23:49,200 --> 00:23:51,320 Speaker 1: in some areas. Some US require certain planter features. C 409 00:23:51,400 --> 00:24:01,199 Speaker 1: T MOBILE DOT COM. Moving on to dad, because that 410 00:24:01,240 --> 00:24:04,520 Speaker 1: has become the currency of the modern world. How does 411 00:24:04,640 --> 00:24:08,960 Speaker 1: data gathering and analysis play a part in your strategy? 412 00:24:09,240 --> 00:24:11,520 Speaker 1: This is a great question. I think we're only scratching 413 00:24:11,560 --> 00:24:14,520 Speaker 1: the surface when it comes to the data in general 414 00:24:14,600 --> 00:24:17,440 Speaker 1: in this world and we're looking at specifically what Phantom 415 00:24:17,480 --> 00:24:20,439 Speaker 1: is doing, and you know autnoms vehicles collect data today 416 00:24:20,440 --> 00:24:25,400 Speaker 1: with drivers that are sitting as safety drivers in the vehicle, right, 417 00:24:25,720 --> 00:24:28,159 Speaker 1: and you have to practice and drive with people in 418 00:24:28,280 --> 00:24:30,440 Speaker 1: order to collect data, to teach the machine how to 419 00:24:30,520 --> 00:24:33,399 Speaker 1: drive without people. Are Approaches saying, you know, if you 420 00:24:33,440 --> 00:24:36,320 Speaker 1: can get to commerce and really operate in the way 421 00:24:36,400 --> 00:24:39,920 Speaker 1: that creates value, true value, not just a safety drivers 422 00:24:39,920 --> 00:24:43,280 Speaker 1: sitting there without any value for for people or consumer 423 00:24:43,440 --> 00:24:46,080 Speaker 1: or logistics, you know in our case, and then collect 424 00:24:46,160 --> 00:24:50,000 Speaker 1: that same data while the vehicles being operated remotely and 425 00:24:50,119 --> 00:24:53,400 Speaker 1: contributing value to the warehouse or to the road. It's 426 00:24:53,400 --> 00:24:57,359 Speaker 1: such an amazing model. You're basically getting paid two collect 427 00:24:57,440 --> 00:25:01,040 Speaker 1: data on the system and you can practice with this data. 428 00:25:01,160 --> 00:25:03,680 Speaker 1: But even more than that, what's interesting is you can 429 00:25:03,920 --> 00:25:08,040 Speaker 1: use models in the cloud that read that data and 430 00:25:08,119 --> 00:25:12,280 Speaker 1: respond back with what they would do during this time 431 00:25:12,320 --> 00:25:16,120 Speaker 1: of operation. Let's say a model that needs to compute 432 00:25:16,119 --> 00:25:18,840 Speaker 1: the best path for the vehicle, and you can also 433 00:25:18,880 --> 00:25:22,960 Speaker 1: magic with what actually happened with the remote operator guidance 434 00:25:23,000 --> 00:25:24,840 Speaker 1: for the vehicles. They'll say if it's in the forklift 435 00:25:24,840 --> 00:25:27,200 Speaker 1: in the warehouse, right. So you basically have this kind 436 00:25:27,200 --> 00:25:30,680 Speaker 1: of training. said that, not only is being collecting the data, 437 00:25:30,720 --> 00:25:33,040 Speaker 1: but can also train in the back end and compare 438 00:25:33,080 --> 00:25:35,480 Speaker 1: the results of the bottom line. So it's such a 439 00:25:35,480 --> 00:25:37,600 Speaker 1: great way to get into the market. I think of 440 00:25:37,640 --> 00:25:40,560 Speaker 1: it like an entry point that is very business effective. 441 00:25:40,560 --> 00:25:42,240 Speaker 1: I mean there are many ways to collect data. The 442 00:25:42,280 --> 00:25:44,520 Speaker 1: problem is they're not really effective when it comes to 443 00:25:44,600 --> 00:25:46,600 Speaker 1: cost right you just have to spend a lot that 444 00:25:46,680 --> 00:25:50,280 Speaker 1: you have safety drivers and vehicles driving around for no value. That, 445 00:25:50,320 --> 00:25:52,640 Speaker 1: I would say. Again, we're the early phases there of 446 00:25:52,640 --> 00:25:54,960 Speaker 1: that technology. I think in the future we're going to 447 00:25:55,040 --> 00:25:57,520 Speaker 1: see more. There's a lot of discussions about edge technology. 448 00:25:57,560 --> 00:25:59,240 Speaker 1: If it's the autonomy is going to sit in the 449 00:25:59,320 --> 00:26:01,080 Speaker 1: vehicle or some of it is going to be in 450 00:26:01,080 --> 00:26:02,840 Speaker 1: the cloud, it's probably going to be a combination of 451 00:26:02,880 --> 00:26:04,680 Speaker 1: the two. It's just like our Syria on our phone. 452 00:26:04,680 --> 00:26:08,640 Speaker 1: And again that back to the communication infrastructure and connectivity. 453 00:26:08,960 --> 00:26:12,119 Speaker 1: Nothing can be deployed without connectivity and build time communication. 454 00:26:12,520 --> 00:26:14,959 Speaker 1: So it's a backward necessity for the vehicle to begin with. 455 00:26:15,080 --> 00:26:18,200 Speaker 1: So why not use it to gather board data and move, 456 00:26:18,320 --> 00:26:22,120 Speaker 1: you know, create value at the meantime? Elliott, you mentioned earlier, 457 00:26:22,240 --> 00:26:23,800 Speaker 1: right at the top of the show, that you were 458 00:26:23,800 --> 00:26:27,920 Speaker 1: really interested in technologies and solutions that can have real 459 00:26:28,000 --> 00:26:31,119 Speaker 1: material change, positive change, in the world, and I'm curious 460 00:26:31,320 --> 00:26:34,440 Speaker 1: is there any sort of specific challenge, like maybe even 461 00:26:34,480 --> 00:26:38,400 Speaker 1: a global challenge, that you would really like to approach 462 00:26:38,400 --> 00:26:42,120 Speaker 1: an attempt to solve, either through Phantom auto or through 463 00:26:42,200 --> 00:26:46,280 Speaker 1: some other venture down the line? Yeah, absolutely. When you 464 00:26:46,320 --> 00:26:51,680 Speaker 1: talk about operating a forklift right, this is a dangerous job. 465 00:26:52,040 --> 00:26:55,560 Speaker 1: Want in ten operators get into an accident each year, 466 00:26:56,400 --> 00:27:00,520 Speaker 1: severe injuries, even death, and so if you can move 467 00:27:00,640 --> 00:27:05,160 Speaker 1: those people out of harm's way, out of that potentially 468 00:27:05,240 --> 00:27:08,680 Speaker 1: dangerous environment and into an office environment, that is a 469 00:27:08,760 --> 00:27:14,119 Speaker 1: huge win. In addition to expanding the Labor Pool for 470 00:27:14,160 --> 00:27:20,000 Speaker 1: our customers, we're also diversifying that Labor Pool. So we have, 471 00:27:20,600 --> 00:27:24,719 Speaker 1: you know, people working for us today that are able 472 00:27:24,800 --> 00:27:30,320 Speaker 1: to remotely operate forklifts. One is a wheelchair user. He 473 00:27:30,520 --> 00:27:35,720 Speaker 1: was injured during his service in the military, so you 474 00:27:35,760 --> 00:27:39,000 Speaker 1: know he he would not be able to operate a 475 00:27:39,119 --> 00:27:41,639 Speaker 1: forklift in the way that one you know drives a 476 00:27:41,640 --> 00:27:45,560 Speaker 1: forklift in a warehouse today, but he can remotely operate. 477 00:27:46,040 --> 00:27:51,960 Speaker 1: We also have neurodiverse individuals, operators that have autism, and 478 00:27:52,040 --> 00:27:57,800 Speaker 1: we are quite literally bringing jobs into their homes where 479 00:27:57,880 --> 00:28:02,240 Speaker 1: they're fantastic remote operate leaders. They can do this from 480 00:28:02,240 --> 00:28:06,320 Speaker 1: their homes, they can operate vehicles across the country, and 481 00:28:06,400 --> 00:28:11,480 Speaker 1: so there's real impact here. Obviously we have primary goals. 482 00:28:11,520 --> 00:28:15,000 Speaker 1: The first goal is to kind of change the face 483 00:28:15,040 --> 00:28:19,280 Speaker 1: of work and hopefully build a game changing business around 484 00:28:19,320 --> 00:28:23,040 Speaker 1: doing that. But the second goal, which is equally as important, 485 00:28:23,200 --> 00:28:27,400 Speaker 1: is that aspect of positive societal impact. If we can 486 00:28:27,480 --> 00:28:32,320 Speaker 1: really make positive change for different individuals along the way 487 00:28:32,560 --> 00:28:36,919 Speaker 1: and open up new avenues for people to do work 488 00:28:37,440 --> 00:28:41,440 Speaker 1: where they formerly could not operate machinery of this nature, 489 00:28:41,960 --> 00:28:46,800 Speaker 1: that's the real win win for us. Yeah, that's phenomenal, Elliott. 490 00:28:46,840 --> 00:28:50,240 Speaker 1: I mean this idea of the technology not just enabling 491 00:28:50,280 --> 00:28:55,640 Speaker 1: business solutions but also addressing things like accessibility and providing 492 00:28:55,680 --> 00:28:58,760 Speaker 1: an outlet for employment for people who are completely capable 493 00:28:58,800 --> 00:29:03,520 Speaker 1: of doing the job. It's inspirational because we're looking even 494 00:29:03,560 --> 00:29:08,520 Speaker 1: beyond the critical role that this plays for business operations 495 00:29:08,560 --> 00:29:14,239 Speaker 1: to remain intact. Before I could let my guests go, 496 00:29:14,560 --> 00:29:18,240 Speaker 1: I needed to ask Elliott cats shy maximum one more thing. 497 00:29:20,160 --> 00:29:23,320 Speaker 1: We call the show the restless ones and I have 498 00:29:23,480 --> 00:29:26,600 Speaker 1: my own definition of what a restless one is when 499 00:29:26,600 --> 00:29:31,040 Speaker 1: it comes to things like leadership and in technology. But, shy, 500 00:29:31,080 --> 00:29:33,760 Speaker 1: I will start with you. I'm curious when you hear 501 00:29:33,800 --> 00:29:38,640 Speaker 1: that term the restless ones, what comes to your mind? Wow, 502 00:29:38,720 --> 00:29:42,200 Speaker 1: that's a that's an important question. First, it's really about working, 503 00:29:42,480 --> 00:29:45,000 Speaker 1: not just for the sake of making money, but really 504 00:29:45,040 --> 00:29:48,640 Speaker 1: having ambission, having an ambition and inspiration, something to work 505 00:29:48,680 --> 00:29:51,720 Speaker 1: for that is beyond what's out there. We just talked 506 00:29:51,720 --> 00:29:54,440 Speaker 1: about this wheelchair and artistic people that work at Phantom. 507 00:29:54,680 --> 00:29:57,440 Speaker 1: I would work day, night and weekends if needed to 508 00:29:57,480 --> 00:30:00,040 Speaker 1: make sure that those people get jobs, because the is 509 00:30:00,280 --> 00:30:03,400 Speaker 1: something that can make a change that is positive in 510 00:30:03,440 --> 00:30:06,520 Speaker 1: the world. So restless for me it's making sure that 511 00:30:06,640 --> 00:30:09,280 Speaker 1: your mission and in the vision, you're doing everything you 512 00:30:09,320 --> 00:30:13,440 Speaker 1: can to achieve it. Thank you. Shy Elliott, same question. 513 00:30:13,520 --> 00:30:16,720 Speaker 1: What does being a restless one mean to you? Yeah, 514 00:30:16,720 --> 00:30:21,360 Speaker 1: it's a very interesting question in the way I would 515 00:30:21,360 --> 00:30:25,000 Speaker 1: interpret it personally. To kind of tie together all the 516 00:30:25,080 --> 00:30:31,240 Speaker 1: threads here, I consider myself a big thinker and I'd 517 00:30:31,240 --> 00:30:33,920 Speaker 1: like to think that the things that I put my 518 00:30:33,960 --> 00:30:36,800 Speaker 1: mind to and really put my time and effort into, 519 00:30:37,240 --> 00:30:41,440 Speaker 1: I want them to have real purpose. And Shy and 520 00:30:41,560 --> 00:30:44,560 Speaker 1: I are co founders of Phantom, but we have very 521 00:30:44,640 --> 00:30:48,400 Speaker 1: different skill sets right, as I mentioned before, he's been 522 00:30:48,440 --> 00:30:52,560 Speaker 1: an engineer basically since his bar Mitzvah. I had a 523 00:30:52,600 --> 00:30:56,720 Speaker 1: certain vision, I had a certain idea, a way that 524 00:30:56,800 --> 00:30:59,840 Speaker 1: I saw the world away that I could make impact, 525 00:31:00,440 --> 00:31:03,760 Speaker 1: and I happened to be lucky enough to meet someone 526 00:31:03,880 --> 00:31:08,200 Speaker 1: who not only shared the same vision but, from a 527 00:31:08,240 --> 00:31:13,960 Speaker 1: technical perspective, could put that vision into motion. So I 528 00:31:14,040 --> 00:31:17,680 Speaker 1: was restless in the sense that, hey, this is something 529 00:31:17,720 --> 00:31:20,400 Speaker 1: that just makes sense to me, and I think Shay 530 00:31:20,640 --> 00:31:23,400 Speaker 1: was restless in the sense that, you know, not only 531 00:31:23,480 --> 00:31:27,920 Speaker 1: is this something that makes sense, it's something that's technically feasible, 532 00:31:28,240 --> 00:31:32,120 Speaker 1: it's technically possible, and so when you get two people 533 00:31:32,840 --> 00:31:36,520 Speaker 1: like that with a similar vision in the room, we're 534 00:31:36,520 --> 00:31:41,000 Speaker 1: gonna be just restless enough to make it happen, because 535 00:31:41,120 --> 00:31:45,520 Speaker 1: for us, we can't sit here and think about what 536 00:31:45,680 --> 00:31:48,520 Speaker 1: if we have to create our own offense. We have 537 00:31:48,720 --> 00:31:51,880 Speaker 1: to make that reality happen and it's what we think 538 00:31:51,920 --> 00:31:55,800 Speaker 1: about all day, every day. Yeah, I just go back 539 00:31:55,840 --> 00:31:59,160 Speaker 1: to that thought of just because things have been done 540 00:31:59,200 --> 00:32:01,280 Speaker 1: this way doesn't mean that's the only way they can 541 00:32:01,320 --> 00:32:05,080 Speaker 1: be done, and that when you adopt that as your 542 00:32:05,240 --> 00:32:09,800 Speaker 1: philosophy and you realize that this is an opportunity to 543 00:32:10,680 --> 00:32:14,400 Speaker 1: experiment and to attempt new things and to innovate. The 544 00:32:14,480 --> 00:32:17,600 Speaker 1: results end up being phenomenal. Even in the failures, you 545 00:32:17,680 --> 00:32:20,960 Speaker 1: learn right like even then. You you learn things like, well, 546 00:32:21,080 --> 00:32:23,960 Speaker 1: now I know to go a different way, but if 547 00:32:23,960 --> 00:32:26,120 Speaker 1: you've never if you just accept how things are done, 548 00:32:26,160 --> 00:32:30,000 Speaker 1: then there's no growth, there's no learning and there's no change. 549 00:32:30,400 --> 00:32:33,880 Speaker 1: I couldn't agree more and I think that phantom motto 550 00:32:34,120 --> 00:32:37,360 Speaker 1: in most ways is no different than any other startup. 551 00:32:37,400 --> 00:32:39,520 Speaker 1: And the way I I typically think about it is 552 00:32:39,560 --> 00:32:43,400 Speaker 1: at a big company you can hit singles all day, 553 00:32:43,440 --> 00:32:45,960 Speaker 1: but if you want to take a really big swing 554 00:32:46,000 --> 00:32:48,120 Speaker 1: in the bat, if you want to attempt to hit 555 00:32:48,160 --> 00:32:51,440 Speaker 1: a grand slam and really change the status quo, like 556 00:32:51,960 --> 00:32:56,520 Speaker 1: if we succeed in the way that we want to succeed, 557 00:32:57,040 --> 00:33:01,200 Speaker 1: we will change the face of work. Mean people that 558 00:33:01,280 --> 00:33:05,600 Speaker 1: formerly had to go into warehouses and distribution centers every 559 00:33:05,680 --> 00:33:08,520 Speaker 1: day and work in these environments and work in these 560 00:33:08,520 --> 00:33:12,160 Speaker 1: conditions will have a better quality of life. And we 561 00:33:12,240 --> 00:33:17,120 Speaker 1: believe that because, also for our customers, the business case 562 00:33:17,480 --> 00:33:22,120 Speaker 1: pencils so beautifully that this can really create rapid change 563 00:33:22,600 --> 00:33:25,800 Speaker 1: and we just can't take those swings of a bat. 564 00:33:26,160 --> 00:33:29,520 Speaker 1: When you're in a large system, you have to have 565 00:33:29,960 --> 00:33:33,680 Speaker 1: this startup environment where it's encouraged to not only think 566 00:33:33,720 --> 00:33:37,960 Speaker 1: differently but act on that. Thank you. And so we've 567 00:33:38,000 --> 00:33:41,000 Speaker 1: done it thus far for almost five years, and we 568 00:33:41,080 --> 00:33:43,680 Speaker 1: really hope to continue to do it for many more 569 00:33:43,760 --> 00:33:48,120 Speaker 1: years and remain restless and thus create that change. Gosh, 570 00:33:48,200 --> 00:33:51,720 Speaker 1: I can't think of a better way to conclude this episode. 571 00:33:52,160 --> 00:33:56,240 Speaker 1: Elliott shy, thank you so much for joining the podcast. 572 00:33:56,360 --> 00:34:00,640 Speaker 1: Thank you for this conversation. It was even more or 573 00:34:00,680 --> 00:34:03,920 Speaker 1: inspirational and invigorating than I had anticipated, and I have 574 00:34:04,000 --> 00:34:08,520 Speaker 1: to tell you my expectations were set pretty darn high. Well, 575 00:34:08,520 --> 00:34:11,200 Speaker 1: thank you, Jonathan. We really appreciate you having us on. 576 00:34:16,200 --> 00:34:18,839 Speaker 1: It's always a pleasure to speak with leaders in tech 577 00:34:18,880 --> 00:34:23,040 Speaker 1: who have incredible drive, no pun intended, and it was 578 00:34:23,120 --> 00:34:26,680 Speaker 1: obvious to me that shy and Elliott have that drive. 579 00:34:27,040 --> 00:34:32,160 Speaker 1: Their collaboration is inspiring. Identifying a real world challenge and 580 00:34:32,200 --> 00:34:34,880 Speaker 1: then building a solution to meet it, and to know 581 00:34:35,040 --> 00:34:37,759 Speaker 1: they were working on these technologies before the issues with 582 00:34:37,800 --> 00:34:42,160 Speaker 1: supply chain stability had become undeniable shows how forward thinking 583 00:34:42,200 --> 00:34:46,239 Speaker 1: they are. It's also incredible to think that wireless connectivity 584 00:34:46,239 --> 00:34:49,560 Speaker 1: has reached a level in which someone can operate a 585 00:34:49,640 --> 00:34:53,360 Speaker 1: vehicle in real time from hundreds or thousands of miles away. 586 00:34:53,960 --> 00:34:56,200 Speaker 1: I would refer to this use case as a reason 587 00:34:56,239 --> 00:35:01,360 Speaker 1: why low latency connectivity is transformative. It opens up possibilities 588 00:35:01,400 --> 00:35:04,319 Speaker 1: that would have been science fiction a decade ago, and 589 00:35:04,360 --> 00:35:07,359 Speaker 1: that's before you even touch on what options open up 590 00:35:07,360 --> 00:35:10,080 Speaker 1: when you have access not just to low latency but 591 00:35:10,320 --> 00:35:13,879 Speaker 1: high throughput. I really do believe we are on the 592 00:35:13,960 --> 00:35:18,680 Speaker 1: cusp of an era of unprecedented innovation. Making use of 593 00:35:18,719 --> 00:35:21,640 Speaker 1: five g technology and beyond will usher in a world 594 00:35:21,680 --> 00:35:26,759 Speaker 1: in which data analysis, automation and remote Operation Change Everything. 595 00:35:27,200 --> 00:35:30,160 Speaker 1: These are the elements that are necessary in a world 596 00:35:30,160 --> 00:35:33,120 Speaker 1: where working from home becomes the new norm, and we'll 597 00:35:33,160 --> 00:35:36,239 Speaker 1: discover that through careful use of these technologies, we can 598 00:35:36,280 --> 00:35:40,680 Speaker 1: actually improve operations, make our work more efficient and cut 599 00:35:40,760 --> 00:35:47,880 Speaker 1: costs and ease pain points along the way. Thanks again 600 00:35:47,920 --> 00:35:51,120 Speaker 1: to Elliott cats and shy Maximov for joining the restless ones, 601 00:35:51,520 --> 00:35:53,839 Speaker 1: and be sure to join us on future episodes. We're 602 00:35:53,840 --> 00:35:57,000 Speaker 1: I'll talk with more leaders in the tech industry. I'll 603 00:35:57,040 --> 00:36:04,920 Speaker 1: see you then, m t mobile, for business knows, companies 604 00:36:04,960 --> 00:36:07,480 Speaker 1: want more than a one size fits all approach to support. 605 00:36:07,800 --> 00:36:11,400 Speaker 1: I want the world. So we provide three sixty support 606 00:36:11,480 --> 00:36:15,120 Speaker 1: customized to your business. From discovery through post deployment. You'll 607 00:36:15,160 --> 00:36:19,080 Speaker 1: get a dedicated account team and expertise from solutions engineers 608 00:36:19,120 --> 00:36:24,479 Speaker 1: and industry advisors already, right now. I want it now. 609 00:36:25,000 --> 00:36:29,880 Speaker 1: Three sixty support that's customized for your success. That's unconventional 610 00:36:29,920 --> 00:36:31,640 Speaker 1: thinking from t mobile for business.