1 00:00:03,800 --> 00:00:06,120 Speaker 1: Right now, we're taking the data off the boats and 2 00:00:06,160 --> 00:00:08,880 Speaker 1: distributing it to those various ues is But what we 3 00:00:09,119 --> 00:00:10,800 Speaker 1: really want to do, and I think five G is 4 00:00:10,800 --> 00:00:13,880 Speaker 1: going to enable us, is to send that data back 5 00:00:13,920 --> 00:00:16,680 Speaker 1: to the boats and enable them to look at that 6 00:00:16,800 --> 00:00:20,160 Speaker 1: data in real time as well. Because our data is 7 00:00:20,200 --> 00:00:23,120 Speaker 1: in the open source. All of the boats are the same, 8 00:00:23,239 --> 00:00:26,560 Speaker 1: they use exactly the same technology, and so we've put 9 00:00:26,600 --> 00:00:29,520 Speaker 1: the data in the open and they can look at 10 00:00:29,560 --> 00:00:33,440 Speaker 1: each other's performance and analyze that. But imagine if they 11 00:00:33,479 --> 00:00:37,519 Speaker 1: could do that life. Welcome to the Restless Ones. I'm 12 00:00:37,600 --> 00:00:40,880 Speaker 1: Jonathan Strickland. As you may know, I've spent the last 13 00:00:40,920 --> 00:00:45,320 Speaker 1: fifteen years covering technology and learning how it works, demystifying 14 00:00:45,400 --> 00:00:50,839 Speaker 1: everything from massive parallel processing to advanced robotics and everything 15 00:00:50,880 --> 00:00:54,680 Speaker 1: in between. Yet it's the conversations with some of the 16 00:00:54,680 --> 00:00:58,440 Speaker 1: most forward thinking leaders, those at the intersection of technology 17 00:00:58,560 --> 00:01:05,400 Speaker 1: and business that fascinate me the most. Leaders like Russell Coots, 18 00:01:05,400 --> 00:01:10,280 Speaker 1: CEO of Sale GP. I've had conversations with a lot 19 00:01:10,360 --> 00:01:14,039 Speaker 1: of fascinating people here on The Restless Ones, but I 20 00:01:14,080 --> 00:01:17,000 Speaker 1: think this episode marks the first time I have interviewed 21 00:01:17,080 --> 00:01:21,679 Speaker 1: a night Sir Russell has had a colorful history. He 22 00:01:21,720 --> 00:01:24,560 Speaker 1: has been a sailor practically all of his life. He 23 00:01:24,600 --> 00:01:28,320 Speaker 1: won his first regatta when he was just nine years old. 24 00:01:28,720 --> 00:01:32,320 Speaker 1: He competed in the Olympics in nineteen four. He also 25 00:01:32,400 --> 00:01:36,440 Speaker 1: has competed in numerous America's Cup sailing competitions, serving as 26 00:01:36,480 --> 00:01:41,120 Speaker 1: helmsman and skipper and accumulating an impressive winning streak in 27 00:01:41,160 --> 00:01:44,679 Speaker 1: the process. He led the administration of Team New Zealand, 28 00:01:44,800 --> 00:01:48,280 Speaker 1: transitioning into a role that required him to work behind 29 00:01:48,320 --> 00:01:52,960 Speaker 1: the scenes and everything from securing sponsorships to negotiating broadcasting rights. 30 00:01:53,480 --> 00:01:57,080 Speaker 1: A few years ago, Oracle founder Larry Ellison and Sir 31 00:01:57,200 --> 00:02:01,800 Speaker 1: Russell collaborated to create a new company called Sale g P. 32 00:02:02,680 --> 00:02:06,080 Speaker 1: That company's mission is to bring competitive sailing into the 33 00:02:06,200 --> 00:02:10,440 Speaker 1: modern era, leveraging numerous technologies to make the sport accessible 34 00:02:10,680 --> 00:02:14,400 Speaker 1: and immersive to viewers, while also opening up opportunities for 35 00:02:14,440 --> 00:02:17,560 Speaker 1: people to pursue the sport itself. As I would learn, 36 00:02:17,880 --> 00:02:22,000 Speaker 1: the combination of technological innovation and skilled production has brought 37 00:02:22,080 --> 00:02:29,760 Speaker 1: in new fans to the sport and that fandom is growing. Russell, 38 00:02:29,840 --> 00:02:32,480 Speaker 1: I want to welcome you to the restless Ones. Thank 39 00:02:32,520 --> 00:02:34,880 Speaker 1: you so much for taking time to join us today 40 00:02:35,240 --> 00:02:37,720 Speaker 1: that it's a pleasure to be here. Before we get 41 00:02:37,760 --> 00:02:41,160 Speaker 1: into the nitty gritty, I'm curious if you could tell 42 00:02:41,240 --> 00:02:45,760 Speaker 1: us about when you first developed your love of sailing. Well. 43 00:02:45,919 --> 00:02:50,600 Speaker 1: I grew up in New Zealand and my family were 44 00:02:50,639 --> 00:02:53,680 Speaker 1: connected with sailing, my father in particular kind of passion 45 00:02:53,720 --> 00:02:55,520 Speaker 1: for us, so it was a natural thing for us 46 00:02:55,560 --> 00:02:57,320 Speaker 1: to do. It was one of those sports that I 47 00:02:57,400 --> 00:03:00,200 Speaker 1: really connected with and love the fact that it's got 48 00:03:00,240 --> 00:03:03,800 Speaker 1: that inherent connection with nature and that you're out there 49 00:03:03,840 --> 00:03:06,480 Speaker 1: and are able to steer your own course, so to speak. 50 00:03:06,760 --> 00:03:09,280 Speaker 1: So that freedom of being out there in the environment, 51 00:03:09,320 --> 00:03:12,800 Speaker 1: I think really appealed to me. I'm curious what sort 52 00:03:12,800 --> 00:03:17,200 Speaker 1: of role did tech play early on in your sailing career, 53 00:03:17,200 --> 00:03:22,359 Speaker 1: because obviously we're in an unprecedented era today where technology 54 00:03:22,440 --> 00:03:25,520 Speaker 1: can help shape the design of boats as well as 55 00:03:25,560 --> 00:03:29,280 Speaker 1: the operation of them. But when you started out, did 56 00:03:29,320 --> 00:03:32,960 Speaker 1: you have those sorts of tools or anything comparable to 57 00:03:33,080 --> 00:03:37,440 Speaker 1: measure things like boat's performance. Well, I used to definitely 58 00:03:37,480 --> 00:03:40,680 Speaker 1: look at foil shapes and sales shapes and dream up 59 00:03:40,680 --> 00:03:44,760 Speaker 1: all kinds of theories just that why something might be faster. Also, 60 00:03:44,880 --> 00:03:47,760 Speaker 1: the surface finished on the on the boat and even 61 00:03:47,760 --> 00:03:50,240 Speaker 1: the balance of the boat. I was intrigued by all 62 00:03:50,280 --> 00:03:51,880 Speaker 1: of that, you know, because when you get on a 63 00:03:51,920 --> 00:03:55,760 Speaker 1: sale boat for the first time and you realize that 64 00:03:55,800 --> 00:03:58,480 Speaker 1: you're powered by nature, you're powered by the wind, that 65 00:03:58,560 --> 00:04:02,200 Speaker 1: can be quite intimidating at until you really start to 66 00:04:02,240 --> 00:04:04,440 Speaker 1: get a field for it. So from a very young 67 00:04:04,480 --> 00:04:06,880 Speaker 1: age I was pretty interested in then, and I did 68 00:04:06,920 --> 00:04:10,680 Speaker 1: do a lot of skitches on various ideas and so forth, 69 00:04:10,720 --> 00:04:13,520 Speaker 1: but they probably didn't have a lot of foundation in 70 00:04:13,640 --> 00:04:18,000 Speaker 1: terms of science or technology. I imagine that the evolution 71 00:04:18,040 --> 00:04:22,960 Speaker 1: of technology, where now you're able to use various sensors 72 00:04:23,040 --> 00:04:28,039 Speaker 1: and devices to measure boat performance, it must be an 73 00:04:28,120 --> 00:04:32,039 Speaker 1: absolute quantum leap ahead of where you were in the 74 00:04:32,120 --> 00:04:36,200 Speaker 1: sense of being able to iterate and to innovate. Yeah, 75 00:04:36,240 --> 00:04:37,600 Speaker 1: that's right. I mean, if you go back and you 76 00:04:37,640 --> 00:04:41,360 Speaker 1: look at the early origins of yacht design and used 77 00:04:41,400 --> 00:04:45,400 Speaker 1: to be probably more of an art than a science, 78 00:04:45,440 --> 00:04:49,120 Speaker 1: although the early designers probably by the trial and error processes, 79 00:04:49,160 --> 00:04:53,000 Speaker 1: and of course historically it was vitally important to business 80 00:04:53,040 --> 00:04:55,320 Speaker 1: and trade. You know, the fastest boats used to get 81 00:04:55,400 --> 00:04:59,800 Speaker 1: the business, so there were lots of secrets involved, both 82 00:04:59,800 --> 00:05:03,520 Speaker 1: in terms of design and also where their currents and navigation. 83 00:05:03,839 --> 00:05:06,600 Speaker 1: If you think back to the early evolution of ocean 84 00:05:06,680 --> 00:05:09,600 Speaker 1: crossing vessels and so forth, a lot of the structural 85 00:05:09,680 --> 00:05:13,599 Speaker 1: designs made their way into the aircraft industry in later years, 86 00:05:13,839 --> 00:05:17,520 Speaker 1: so it was highly competitive then. Alone came from the 87 00:05:17,560 --> 00:05:20,880 Speaker 1: digital era with programs for the loud wonder not only 88 00:05:20,920 --> 00:05:25,120 Speaker 1: measure the influences of the flow either of the air 89 00:05:25,440 --> 00:05:30,360 Speaker 1: or the water, but also get information of including visualization 90 00:05:30,640 --> 00:05:33,560 Speaker 1: of what was actually going on. And as the computers 91 00:05:33,600 --> 00:05:36,760 Speaker 1: became more and more powerful, the codes are more complex 92 00:05:36,800 --> 00:05:42,400 Speaker 1: and more accurately approximate or simulate the performance and the conditions. 93 00:05:42,560 --> 00:05:45,640 Speaker 1: So nowadays you can you know, in terms of yacht design, 94 00:05:45,680 --> 00:05:50,520 Speaker 1: you can typically modify something about the design and instantly 95 00:05:50,640 --> 00:05:55,640 Speaker 1: see where it improves it and conversely where it might 96 00:05:55,760 --> 00:05:59,880 Speaker 1: compromise certain aspects of the performance. Let's talk about the 97 00:06:00,080 --> 00:06:03,440 Speaker 1: birth of sale GP. Can you tell us about the 98 00:06:03,520 --> 00:06:07,280 Speaker 1: company and its mission and how important is this work 99 00:06:07,480 --> 00:06:11,240 Speaker 1: to you. Well before the age of high speed boats, 100 00:06:11,240 --> 00:06:14,680 Speaker 1: and I'm referring to the recent hydrofoiling boats that we 101 00:06:15,120 --> 00:06:19,719 Speaker 1: see today, it probably wasn't the product to make sailing 102 00:06:20,279 --> 00:06:23,280 Speaker 1: an exciting sport to watch on broadcast you know, of 103 00:06:23,320 --> 00:06:26,960 Speaker 1: course the sailing official Nado's out there might disagree with 104 00:06:27,000 --> 00:06:29,839 Speaker 1: me here, but to the broader sports fans, selling was 105 00:06:30,640 --> 00:06:33,719 Speaker 1: was too slow to watch, and the races were difficult 106 00:06:33,760 --> 00:06:36,360 Speaker 1: to understand, and you know sometimes that those races that 107 00:06:36,480 --> 00:06:40,239 Speaker 1: take hours to complete and we're very hard to follow. 108 00:06:40,800 --> 00:06:43,760 Speaker 1: And then along came the Falling Generation, and all of 109 00:06:43,800 --> 00:06:48,039 Speaker 1: a sudden you had this extreme high speed sport and 110 00:06:48,120 --> 00:06:52,080 Speaker 1: covered with that the new broadcast graphics that define the 111 00:06:52,120 --> 00:06:54,240 Speaker 1: field of play and identified who was in front and 112 00:06:54,320 --> 00:06:57,200 Speaker 1: behind and as well as you know, sort of produce 113 00:06:57,720 --> 00:07:01,080 Speaker 1: other insights like the speed of the boats and the 114 00:07:01,160 --> 00:07:04,000 Speaker 1: precise direction they were sailing, who was a hit and behind, 115 00:07:04,040 --> 00:07:07,719 Speaker 1: and so forth. So you moved the clock forward to today. 116 00:07:07,960 --> 00:07:11,920 Speaker 1: We recently had an average viewership here in the US 117 00:07:12,000 --> 00:07:15,840 Speaker 1: on CBS. I've just had one point six million viewers 118 00:07:15,880 --> 00:07:20,720 Speaker 1: for our event and Center pay and it's clearly now 119 00:07:20,960 --> 00:07:24,280 Speaker 1: developed into a sport that can and is beginning to 120 00:07:24,320 --> 00:07:28,280 Speaker 1: appeal to a wide wider audience. So for me, I guess, 121 00:07:28,920 --> 00:07:31,360 Speaker 1: you know, to take the sport that I loved and 122 00:07:31,760 --> 00:07:34,120 Speaker 1: grew up with and love competing in and so forth, 123 00:07:34,200 --> 00:07:37,920 Speaker 1: and package it into a more marketable watchable format that's 124 00:07:37,960 --> 00:07:40,920 Speaker 1: creating a chance to really grow it. Well, that's of 125 00:07:40,960 --> 00:07:44,160 Speaker 1: course greatly appealing to me, and it's exciting to be 126 00:07:44,280 --> 00:07:46,800 Speaker 1: part of this. Yeah. I love that this is a 127 00:07:46,840 --> 00:07:51,840 Speaker 1: case where technology has created accessibility. Yeah. Well, well, you know, 128 00:07:51,880 --> 00:07:54,880 Speaker 1: if you look at those viewership figures we had, as 129 00:07:54,880 --> 00:07:56,760 Speaker 1: I said, I just have one point six million in 130 00:07:56,760 --> 00:08:01,400 Speaker 1: the US and I think thirteen point six million, well boy, well, 131 00:08:01,760 --> 00:08:05,880 Speaker 1: clearly they're not all voting enthusiasts. You know, it's definitely 132 00:08:06,160 --> 00:08:08,880 Speaker 1: a much more interesting sport to watch. And you know, 133 00:08:09,280 --> 00:08:11,800 Speaker 1: I guess that's one of the challenges that we've got 134 00:08:12,200 --> 00:08:15,320 Speaker 1: is that people have an image of exiling and when 135 00:08:15,320 --> 00:08:19,640 Speaker 1: they look at sal GP, they invariably get surprised and say, wow, 136 00:08:19,680 --> 00:08:22,000 Speaker 1: I didn't realize it was like this quite like this, 137 00:08:22,160 --> 00:08:25,280 Speaker 1: you know, say, we get we pretty much get that 138 00:08:25,360 --> 00:08:27,960 Speaker 1: reaction every time we put an event on in a 139 00:08:27,960 --> 00:08:35,040 Speaker 1: new country. Conventional thinking says you have to pay more 140 00:08:35,080 --> 00:08:37,800 Speaker 1: to get more. I want the world. But T Mobile 141 00:08:37,800 --> 00:08:41,440 Speaker 1: for Business uses unconventional thinking to deliver premium benefits for 142 00:08:41,480 --> 00:08:44,440 Speaker 1: better r o I. From customized five G solutions to 143 00:08:44,520 --> 00:08:47,320 Speaker 1: three sixties support. We help you reach your business goals 144 00:08:47,480 --> 00:08:51,560 Speaker 1: right now. I want it now, innovating to improve business 145 00:08:51,559 --> 00:08:55,440 Speaker 1: today and tomorrow. That's unconventional thinking from T mobile for 146 00:08:55,480 --> 00:08:58,240 Speaker 1: business capable device required covers on available in some areas, 147 00:08:58,240 --> 00:09:07,360 Speaker 1: some US require certain planter features. See Speaking of how 148 00:09:07,520 --> 00:09:11,280 Speaker 1: people view sailing, you know what they think of with sailing, 149 00:09:11,360 --> 00:09:14,200 Speaker 1: I imagine a lot of folks think of it as 150 00:09:14,440 --> 00:09:18,719 Speaker 1: an environmentally friendly sport. I mean it's when bowered after all. 151 00:09:19,160 --> 00:09:23,080 Speaker 1: And sale GP has emphasized sustainability as one of the 152 00:09:23,120 --> 00:09:27,560 Speaker 1: company's values. Clearly the technology is aligned with that goal. 153 00:09:27,760 --> 00:09:32,400 Speaker 1: But I'm curious how this plays into sale GPS business strategy. 154 00:09:32,880 --> 00:09:36,560 Speaker 1: How does that strategy combined with the tech sale GP 155 00:09:36,640 --> 00:09:42,160 Speaker 1: relies upon work towards sale GP emphasizing sustainability. Well, I 156 00:09:42,559 --> 00:09:46,679 Speaker 1: guess from a financial perspective, treading a sustainable business model 157 00:09:46,760 --> 00:09:49,800 Speaker 1: is a big focus, and the cost and revenues are 158 00:09:49,840 --> 00:09:53,160 Speaker 1: clearly defined. But what we've found in terms of becoming 159 00:09:53,360 --> 00:09:57,800 Speaker 1: more sustainable from an environmental perspective is it it's not 160 00:09:58,440 --> 00:10:03,280 Speaker 1: necessarily an additional cost when you really focus on becoming 161 00:10:03,280 --> 00:10:06,640 Speaker 1: more sustainable. But I'll give you some examples. When we 162 00:10:06,640 --> 00:10:11,680 Speaker 1: were looking at broadcast and we used to send about 163 00:10:11,720 --> 00:10:15,720 Speaker 1: fifty people around the world to our events each time 164 00:10:15,760 --> 00:10:19,480 Speaker 1: we ran an event, and we sort of figured that 165 00:10:19,640 --> 00:10:24,760 Speaker 1: let's try and do that and create a remote production 166 00:10:25,200 --> 00:10:30,520 Speaker 1: because essentially used to have the broadcast facilities on site 167 00:10:30,600 --> 00:10:33,559 Speaker 1: and a lot of the people used to create the 168 00:10:33,640 --> 00:10:36,920 Speaker 1: various functions that you need for a broadcast from their 169 00:10:36,960 --> 00:10:40,480 Speaker 1: containers on site, and so we started to think, well, 170 00:10:40,520 --> 00:10:42,679 Speaker 1: how can we do that where we're not flying all 171 00:10:42,720 --> 00:10:45,040 Speaker 1: these people around the world and we're doing it from 172 00:10:45,240 --> 00:10:48,520 Speaker 1: you know, a studio somewhere else in the world. Clearly 173 00:10:48,520 --> 00:10:52,120 Speaker 1: that would be a lot cheaper. We could also imagine 174 00:10:52,120 --> 00:10:53,960 Speaker 1: it being more efficient. Of course, you know, there were 175 00:10:54,000 --> 00:10:57,640 Speaker 1: some pros and cons for that second part, but we 176 00:10:57,640 --> 00:10:59,679 Speaker 1: were the first to try it. And what we found 177 00:11:00,440 --> 00:11:02,640 Speaker 1: not only to save a lot in their carbon footprint, 178 00:11:02,679 --> 00:11:04,960 Speaker 1: to say, it's a lot of costs as well, and 179 00:11:04,960 --> 00:11:08,079 Speaker 1: and extual fact, you know, having the broadcast team together 180 00:11:08,840 --> 00:11:11,240 Speaker 1: in the one entity proved to be somewhat of an 181 00:11:11,280 --> 00:11:16,199 Speaker 1: advantage as well. And now the team has scattered around 182 00:11:16,200 --> 00:11:18,480 Speaker 1: the world and they empire. They make decisions on our 183 00:11:18,559 --> 00:11:23,319 Speaker 1: racing almost instantaneously using all the data that's available to them, 184 00:11:23,360 --> 00:11:25,520 Speaker 1: and there's lots of examples that we've set out to 185 00:11:25,600 --> 00:11:28,960 Speaker 1: do that. We're very proud of our achievements, satisfied with 186 00:11:29,200 --> 00:11:31,959 Speaker 1: Still it a long way Togo, because eventually we want 187 00:11:32,040 --> 00:11:35,240 Speaker 1: to make even a greater game to their carbon footprint. 188 00:11:35,280 --> 00:11:37,760 Speaker 1: But yeah, I think it's about approaching it with the 189 00:11:37,840 --> 00:11:41,480 Speaker 1: right attitude. Well, and I think it's an astounding achievement 190 00:11:41,760 --> 00:11:44,480 Speaker 1: to be able to do a live television broadcast where 191 00:11:44,520 --> 00:11:49,640 Speaker 1: the production is happening across the globe from where the 192 00:11:49,960 --> 00:11:54,480 Speaker 1: actual event is happening. Obviously, sale GP holds races all 193 00:11:54,559 --> 00:11:57,320 Speaker 1: over the world, and for your production team to be 194 00:11:57,360 --> 00:12:00,520 Speaker 1: in a centralized location and to be able to take 195 00:12:00,600 --> 00:12:04,360 Speaker 1: in live feeds from various sources and produce it in 196 00:12:04,440 --> 00:12:08,120 Speaker 1: real time for broadcast, and the end viewer may have 197 00:12:08,360 --> 00:12:12,560 Speaker 1: no understanding of the processes that have to happen for 198 00:12:12,640 --> 00:12:16,840 Speaker 1: that to work. It speaks to our incredible evolution of 199 00:12:16,880 --> 00:12:20,760 Speaker 1: technology where we've got the level of connectivity that allows 200 00:12:20,840 --> 00:12:24,240 Speaker 1: for this kind of process, that we're able to move 201 00:12:24,360 --> 00:12:29,480 Speaker 1: data that effectively around the world and put it together 202 00:12:29,559 --> 00:12:32,760 Speaker 1: and package it in a way that is digestible and 203 00:12:32,920 --> 00:12:36,200 Speaker 1: entertaining to the end audience. I think that's right. Actually, 204 00:12:36,200 --> 00:12:39,719 Speaker 1: I think we might have been the first sports entity 205 00:12:39,800 --> 00:12:42,640 Speaker 1: to not have our umpires on site. For example, not 206 00:12:42,679 --> 00:12:46,400 Speaker 1: only a broadcast, but our race management team and umpires 207 00:12:46,440 --> 00:12:49,200 Speaker 1: to not have them on site. We're developing a system 208 00:12:49,240 --> 00:12:52,680 Speaker 1: now where a race turning marks that a of course 209 00:12:52,880 --> 00:12:56,440 Speaker 1: like kind of various places around the harbor. You know, 210 00:12:56,480 --> 00:12:59,840 Speaker 1: because we race on in a city harbors, they are 211 00:13:00,040 --> 00:13:04,560 Speaker 1: already positioned remotely, so our race management team does not 212 00:13:04,679 --> 00:13:07,600 Speaker 1: have to be on site. Currently, we anchor those marks, 213 00:13:07,760 --> 00:13:10,840 Speaker 1: so we tow them into position and then they have 214 00:13:10,880 --> 00:13:13,120 Speaker 1: an anchoring system on board with the anchor, and they 215 00:13:13,160 --> 00:13:16,319 Speaker 1: have a very accurate GPS system that locates the position 216 00:13:16,360 --> 00:13:21,120 Speaker 1: to within one inch or twi millimeters. But we are 217 00:13:21,160 --> 00:13:25,120 Speaker 1: moving towards a robotic system with electric motors, so using 218 00:13:25,120 --> 00:13:28,880 Speaker 1: clean energy, they'll be able to be positioned the same way, 219 00:13:28,880 --> 00:13:30,640 Speaker 1: but they won't need to be towed into position, they 220 00:13:30,640 --> 00:13:32,760 Speaker 1: won't need to anchor, and they'll be able to be 221 00:13:32,800 --> 00:13:35,800 Speaker 1: moved much more efficiently. If there's a wind change, or 222 00:13:36,280 --> 00:13:39,400 Speaker 1: if the racing is not running to time, we need 223 00:13:39,440 --> 00:13:42,920 Speaker 1: to shorten the course slightly, or whatever we need to do. 224 00:13:43,040 --> 00:13:45,240 Speaker 1: There will be a much more efficient system that will 225 00:13:45,280 --> 00:13:48,920 Speaker 1: be able to be driven by our remote race management team. 226 00:13:49,120 --> 00:13:51,400 Speaker 1: It's an amazing system where they have access to all 227 00:13:51,440 --> 00:13:54,280 Speaker 1: of the data, including such things as the boat speeds, 228 00:13:54,320 --> 00:13:58,800 Speaker 1: the runner angles, the video images, the camera angles or 229 00:13:58,800 --> 00:14:01,000 Speaker 1: the different camera angles on the boats, and all of 230 00:14:01,040 --> 00:14:03,160 Speaker 1: the audio coming off the boats as well, so the 231 00:14:03,200 --> 00:14:07,800 Speaker 1: conversations the crew is having. So when there's an incident 232 00:14:07,880 --> 00:14:12,320 Speaker 1: that they used that same very sophisticated GPS positioning system 233 00:14:12,360 --> 00:14:15,560 Speaker 1: that tracks the position of the boats to within one inch, 234 00:14:16,200 --> 00:14:19,160 Speaker 1: and they can replay that incident use all that information 235 00:14:19,200 --> 00:14:23,360 Speaker 1: to judge any woual infractions with much greater accuracy than 236 00:14:23,400 --> 00:14:26,240 Speaker 1: what they could have ever could have by watching the 237 00:14:26,360 --> 00:14:30,640 Speaker 1: racing live. The whole world has moved on and taking 238 00:14:30,680 --> 00:14:34,600 Speaker 1: tremendous strides in the last even five years, I think, well, 239 00:14:34,640 --> 00:14:38,000 Speaker 1: and for all of this to even be possible, the 240 00:14:38,040 --> 00:14:43,360 Speaker 1: ability to use things like wireless connectivity, whether you're talking 241 00:14:43,600 --> 00:14:46,600 Speaker 1: about five G or you're talking about beaming to satellite. 242 00:14:47,040 --> 00:14:49,880 Speaker 1: If you don't have those capabilities, then this doesn't work, 243 00:14:49,920 --> 00:14:53,640 Speaker 1: because this is definitely one of those cases where being 244 00:14:53,720 --> 00:14:56,720 Speaker 1: tethered by a cable is just not an option. To 245 00:14:56,840 --> 00:14:59,640 Speaker 1: that end, can you talk a little bit about the 246 00:14:59,760 --> 00:15:03,840 Speaker 1: use of five G within cell GPS events. Yeah, as 247 00:15:03,840 --> 00:15:07,160 Speaker 1: you've correctly said. We're completely on a wireless system. So 248 00:15:07,360 --> 00:15:10,920 Speaker 1: each boat has around eight hundred censes and we have 249 00:15:11,040 --> 00:15:14,600 Speaker 1: nine boats racing in our championship right now, so eight 250 00:15:14,680 --> 00:15:18,440 Speaker 1: hundred censers that create about thirty thousand data outputs per 251 00:15:18,480 --> 00:15:21,240 Speaker 1: second and then will get sent up to the Oracle 252 00:15:21,320 --> 00:15:25,680 Speaker 1: cloud and then get sent out to our various users. 253 00:15:25,920 --> 00:15:30,080 Speaker 1: Be that as I've said, Race management and data Analytics team, 254 00:15:30,400 --> 00:15:35,400 Speaker 1: maintenance team, the team coaches are umpiring and broadcast teams, 255 00:15:35,680 --> 00:15:37,720 Speaker 1: as I said, based in our London studio, or a 256 00:15:37,880 --> 00:15:41,280 Speaker 1: bone Fex graphics team that's also based in London, so 257 00:15:41,400 --> 00:15:44,480 Speaker 1: that all gets created there. And if you take San 258 00:15:44,520 --> 00:15:47,640 Speaker 1: Francisco and Chicago as an example, we tested a team 259 00:15:47,640 --> 00:15:52,240 Speaker 1: mobile five G network in San Francisco and found that 260 00:15:52,360 --> 00:15:56,680 Speaker 1: it was incredibly fast, I think about a third faster 261 00:15:57,000 --> 00:15:59,520 Speaker 1: than those systems. So that was really a game changer 262 00:15:59,600 --> 00:16:03,440 Speaker 1: for us and allowed us to send a lot more 263 00:16:04,040 --> 00:16:08,320 Speaker 1: information essentially from the boats. I mean, we have some 264 00:16:08,320 --> 00:16:11,120 Speaker 1: some pretty wild plans in the future as well. You know, 265 00:16:11,200 --> 00:16:13,600 Speaker 1: so this is really any of the start of it. Russell, 266 00:16:13,640 --> 00:16:16,080 Speaker 1: I can't tell you how excited that makes me, because 267 00:16:16,440 --> 00:16:21,480 Speaker 1: you have described an implementation that relies heavily on this 268 00:16:21,840 --> 00:16:27,960 Speaker 1: high speed, high broadband wireless connectivity, and it's a specific 269 00:16:28,040 --> 00:16:32,840 Speaker 1: one where you're looking at generating and then analyzing thousands 270 00:16:32,880 --> 00:16:37,680 Speaker 1: and thousands of data points simultaneously in different use cases. 271 00:16:38,120 --> 00:16:41,680 Speaker 1: Everything from team managers figuring out what to do next, 272 00:16:41,800 --> 00:16:45,200 Speaker 1: to the umpires who are monitoring to make certain that 273 00:16:45,240 --> 00:16:49,040 Speaker 1: everyone is abiding by the rules, to broadcast who are 274 00:16:49,240 --> 00:16:51,960 Speaker 1: putting this together so that they can create a package 275 00:16:52,000 --> 00:16:56,400 Speaker 1: for the end consumer, even potentially to boat manufacturers who 276 00:16:56,440 --> 00:16:59,280 Speaker 1: are going to look at the data returns and wonder 277 00:17:00,000 --> 00:17:04,800 Speaker 1: where can we get another boost in performance from our designs. 278 00:17:04,840 --> 00:17:09,200 Speaker 1: All of these things are capable because of this convergence 279 00:17:09,840 --> 00:17:14,399 Speaker 1: of sensor technology, the wireless connectivity, and the fact that 280 00:17:14,480 --> 00:17:21,119 Speaker 1: you've designed this incredible company around bringing sailing to more people. 281 00:17:21,359 --> 00:17:23,960 Speaker 1: And it's to me, the fascinating thing is that that 282 00:17:24,080 --> 00:17:28,760 Speaker 1: mission necessitated all of these choices so that you can 283 00:17:28,800 --> 00:17:32,520 Speaker 1: achieve your mission. But on top of that, it lays 284 00:17:32,560 --> 00:17:35,920 Speaker 1: out a blueprint that other organizations can look at and 285 00:17:36,000 --> 00:17:39,800 Speaker 1: say we can take advantage of this, even if they 286 00:17:39,800 --> 00:17:42,240 Speaker 1: have nothing remotely to do with sport. They take a 287 00:17:42,280 --> 00:17:45,640 Speaker 1: look at this approach and they say, imagine applying this 288 00:17:46,080 --> 00:17:51,080 Speaker 1: to our business. Yes, I think the possibility is incredible. 289 00:17:51,200 --> 00:17:53,919 Speaker 1: You know what we found with five g you know, 290 00:17:54,200 --> 00:17:56,520 Speaker 1: as you said that, I think it was tasted something 291 00:17:56,560 --> 00:18:02,360 Speaker 1: about faster and then our abious systems, so we had traditionality, 292 00:18:02,720 --> 00:18:04,760 Speaker 1: and I think it was a two point five giga 293 00:18:04,840 --> 00:18:11,280 Speaker 1: hurts frequency radio system. And the throughput of five gars 294 00:18:11,320 --> 00:18:15,240 Speaker 1: of course much larger, which is going to open up 295 00:18:15,280 --> 00:18:18,160 Speaker 1: quite a few different possibilities. Not only was it delivering 296 00:18:18,160 --> 00:18:21,120 Speaker 1: the current product if you like, to all of these 297 00:18:21,160 --> 00:18:25,959 Speaker 1: different facets in a much more efficient way, but we 298 00:18:26,000 --> 00:18:28,159 Speaker 1: can now start to think about other things that we 299 00:18:28,200 --> 00:18:32,840 Speaker 1: couldn't achieve before. So different types of cameras you know 300 00:18:32,880 --> 00:18:36,040 Speaker 1: where were restricted before. Is that what sort of cameras 301 00:18:36,040 --> 00:18:38,080 Speaker 1: we could use in a life sense? So we can 302 00:18:38,440 --> 00:18:42,360 Speaker 1: really take the fan onto the boat, start to give 303 00:18:42,440 --> 00:18:45,639 Speaker 1: the fan the exact same vision as what the driver 304 00:18:45,800 --> 00:18:50,440 Speaker 1: might be seeing. Ultimately, right now we're taking the data 305 00:18:50,480 --> 00:18:53,400 Speaker 1: off the boats and distributing it to those various users. 306 00:18:53,400 --> 00:18:55,440 Speaker 1: But what we really want to do, and I think 307 00:18:55,440 --> 00:18:58,960 Speaker 1: five gs gonna enable this, is to sit then send 308 00:18:59,000 --> 00:19:01,720 Speaker 1: that data back to the boats and enable them to 309 00:19:02,119 --> 00:19:05,480 Speaker 1: look at that data in real time as well. And 310 00:19:05,680 --> 00:19:08,119 Speaker 1: because our data is in the open source. All of 311 00:19:08,119 --> 00:19:11,720 Speaker 1: the boats are the same, they use exactly the same technology, 312 00:19:12,200 --> 00:19:15,440 Speaker 1: and so we've put the data in the open and 313 00:19:15,520 --> 00:19:18,280 Speaker 1: they can look at each other's performance and analyze that. 314 00:19:19,280 --> 00:19:21,879 Speaker 1: But imagine if they could do that life, you know, 315 00:19:21,920 --> 00:19:24,000 Speaker 1: I think that would be really super cool. And of 316 00:19:24,000 --> 00:19:26,560 Speaker 1: course that actually produced a bit of racing product for us, 317 00:19:26,600 --> 00:19:30,400 Speaker 1: because new teams can come and they can access that data. 318 00:19:30,480 --> 00:19:32,840 Speaker 1: They can see what how the top teams are operating 319 00:19:33,440 --> 00:19:37,160 Speaker 1: and become competitive very very fast. And I think that's 320 00:19:37,200 --> 00:19:40,240 Speaker 1: what's drawing the fans two cell GP is the quality 321 00:19:40,240 --> 00:19:43,680 Speaker 1: of the racing, the closeness of the racing, the fact 322 00:19:43,720 --> 00:19:46,360 Speaker 1: that you get so many lead changes in passing, and 323 00:19:46,800 --> 00:19:50,040 Speaker 1: you know, the jeopardy of actually not knowing who's going 324 00:19:50,080 --> 00:19:53,840 Speaker 1: to win beforehand. You might have the favorites, but it 325 00:19:54,000 --> 00:19:56,919 Speaker 1: really you know, we've had I think five different teams 326 00:19:56,920 --> 00:19:59,639 Speaker 1: winning events now out of the night, and clearly that 327 00:20:00,000 --> 00:20:01,919 Speaker 1: the fact that the data is in the open source 328 00:20:02,000 --> 00:20:05,159 Speaker 1: and it's able to be so efficiently used by the 329 00:20:05,280 --> 00:20:09,800 Speaker 1: various stakeholders is a big contributing factor. Well, Russell, I 330 00:20:09,840 --> 00:20:13,199 Speaker 1: have to say that I'm really excited about the future 331 00:20:13,240 --> 00:20:18,040 Speaker 1: of sale g P and especially seeing how sale GP 332 00:20:18,119 --> 00:20:22,080 Speaker 1: is able to exploit technology to even greater extent. I 333 00:20:22,080 --> 00:20:25,240 Speaker 1: imagine that it won't be long before I could put on, 334 00:20:25,359 --> 00:20:29,560 Speaker 1: say a VR headset and look into a three sixty 335 00:20:29,640 --> 00:20:32,159 Speaker 1: degree camera and look around as if I were on 336 00:20:32,240 --> 00:20:34,679 Speaker 1: the boat myself. Not will you be able to do that, 337 00:20:34,720 --> 00:20:37,080 Speaker 1: but you'll be able to race against the real boats 338 00:20:37,080 --> 00:20:40,119 Speaker 1: in the real race as a virtual competitor. Now, the 339 00:20:40,160 --> 00:20:43,040 Speaker 1: real boats may not be able to see the virtual competitors, 340 00:20:43,040 --> 00:20:44,720 Speaker 1: but the virtual competitors will be able to see the 341 00:20:44,760 --> 00:20:48,920 Speaker 1: real boats. So I think that is the next step 342 00:20:48,960 --> 00:20:52,400 Speaker 1: in true sports engagement, and one of the next steps 343 00:20:53,080 --> 00:20:55,520 Speaker 1: is that you can really become immersed in it. And 344 00:20:55,760 --> 00:20:57,960 Speaker 1: for a racing fan to be able to compete against 345 00:20:58,000 --> 00:21:00,480 Speaker 1: the best on equal terms will be a in a 346 00:21:00,560 --> 00:21:04,440 Speaker 1: virtual space, I think, you know, will be incredible. Well, 347 00:21:05,400 --> 00:21:10,479 Speaker 1: I love that idea. Before I could let Sir Russell go, 348 00:21:10,880 --> 00:21:16,639 Speaker 1: I had to ask him one more thing. I'm curious, Russell, 349 00:21:16,720 --> 00:21:18,800 Speaker 1: what do you think of when you hear the term 350 00:21:19,040 --> 00:21:23,359 Speaker 1: restless one? Yeah, yeah, that's a good question. I guess 351 00:21:23,359 --> 00:21:27,000 Speaker 1: it would be somebody who isn't necessarily content with in 352 00:21:27,080 --> 00:21:31,800 Speaker 1: the conventional ways of doing things, someone who is perhaps 353 00:21:31,840 --> 00:21:36,280 Speaker 1: looking for new innovations or new ways to consider a problem, 354 00:21:36,320 --> 00:21:38,880 Speaker 1: and you open to a new way of of doing 355 00:21:38,920 --> 00:21:43,520 Speaker 1: things to create the best solutions. Excellent, it sounds a 356 00:21:43,560 --> 00:21:47,360 Speaker 1: bit like yourself, Russell. Thank you again for taking time 357 00:21:47,400 --> 00:21:49,560 Speaker 1: to be on our show. It has been a pleasure 358 00:21:49,880 --> 00:21:51,600 Speaker 1: to have you on. I could talk to you for 359 00:21:51,680 --> 00:21:54,399 Speaker 1: hours about sailing in tech, but I know you're a 360 00:21:54,440 --> 00:21:59,160 Speaker 1: busy man, so thanks for being our guest today. It's 361 00:21:59,200 --> 00:22:08,159 Speaker 1: been a pleasure. Thank you. Sir. Russell's insight into the 362 00:22:08,200 --> 00:22:11,720 Speaker 1: importance of building the right team, not necessarily a team 363 00:22:11,720 --> 00:22:16,000 Speaker 1: that has just one voice, really was fascinating. Yes, it 364 00:22:16,280 --> 00:22:19,400 Speaker 1: is of critical importance for everyone to understand the company's 365 00:22:19,440 --> 00:22:22,840 Speaker 1: mission and goals, but it's equally vital that you have 366 00:22:22,880 --> 00:22:26,080 Speaker 1: a spectrum of perspectives so that you can identify the 367 00:22:26,119 --> 00:22:29,560 Speaker 1: best path forward to pursue that mission. As we've heard 368 00:22:29,640 --> 00:22:34,280 Speaker 1: numerous times on this show, communication is key and finding 369 00:22:34,320 --> 00:22:36,840 Speaker 1: the right people to work towards your goals should be 370 00:22:36,960 --> 00:22:40,879 Speaker 1: of the highest priority. I was also fascinated with sale 371 00:22:40,920 --> 00:22:45,560 Speaker 1: GPS use of technology leveraging hundreds of sensors to gather 372 00:22:45,960 --> 00:22:48,760 Speaker 1: thousands of data points on how a boat performs in 373 00:22:48,800 --> 00:22:52,720 Speaker 1: a race has more uses than I anticipated. In my mind. 374 00:22:53,040 --> 00:22:56,560 Speaker 1: I had imagined it being useful for broadcast packages and 375 00:22:56,720 --> 00:23:00,159 Speaker 1: maybe to inform teams about what was working best. I 376 00:23:00,200 --> 00:23:02,679 Speaker 1: hadn't considered the fact that umpires who might be on 377 00:23:02,720 --> 00:23:05,119 Speaker 1: the opposite side of the world would be able to 378 00:23:05,160 --> 00:23:07,720 Speaker 1: access data to keep an eye on racist and ensure 379 00:23:07,800 --> 00:23:11,199 Speaker 1: that all are abiding by the rules. The power of 380 00:23:11,320 --> 00:23:15,480 Speaker 1: data is undeniable, and when paired with high speed connectivity, 381 00:23:15,520 --> 00:23:19,480 Speaker 1: it creates unprecedented opportunities, and I really am excited to 382 00:23:19,520 --> 00:23:22,359 Speaker 1: see where things progress from here, not just with sale 383 00:23:22,400 --> 00:23:26,000 Speaker 1: g P, which is an amazing case study for the 384 00:23:26,000 --> 00:23:28,920 Speaker 1: power of wireless connectivity and the potential of the Internet 385 00:23:28,920 --> 00:23:33,120 Speaker 1: of Things, but also for businesses across all industries as 386 00:23:33,119 --> 00:23:37,119 Speaker 1: they devise strategies to take advantage of today's technological capabilities. 387 00:23:37,680 --> 00:23:40,760 Speaker 1: We've had a lot of common threads throughout this season 388 00:23:40,800 --> 00:23:43,080 Speaker 1: of The Restless Ones, and one of the big ones 389 00:23:43,359 --> 00:23:46,920 Speaker 1: is that companies in every industry are finding new approaches 390 00:23:46,960 --> 00:23:51,320 Speaker 1: towards exploiting technology to become more efficient and competitive in 391 00:23:51,400 --> 00:23:57,160 Speaker 1: their respective fields. Thanks again to Sir Russell for his time, 392 00:23:57,320 --> 00:24:00,359 Speaker 1: and thank you for listening to The Restless Ones. This 393 00:24:00,440 --> 00:24:03,000 Speaker 1: episode concludes season three, and I want to thank T 394 00:24:03,200 --> 00:24:05,760 Speaker 1: Mobile for Business for the opportunity to speak with some 395 00:24:05,880 --> 00:24:09,399 Speaker 1: incredible thought leaders and innovators this season. Be sure to 396 00:24:09,440 --> 00:24:12,159 Speaker 1: explore our past episodes as each one has within a 397 00:24:12,400 --> 00:24:16,960 Speaker 1: unique insights. This has been Jonathan Strickland signing off until 398 00:24:17,040 --> 00:24:24,360 Speaker 1: next time. T Mobile for Business knows companies want more 399 00:24:24,359 --> 00:24:26,840 Speaker 1: than a one size fits all approach to support. I 400 00:24:26,960 --> 00:24:31,080 Speaker 1: want to work, so we provide three sixty support customized 401 00:24:31,119 --> 00:24:34,320 Speaker 1: to your business. From discovery through post deployment. You'll get 402 00:24:34,320 --> 00:24:38,239 Speaker 1: a dedicated account team and expertise from solutions engineers and 403 00:24:38,320 --> 00:24:44,240 Speaker 1: industry advisors already right now, I want it now. Three 404 00:24:44,359 --> 00:24:49,240 Speaker 1: six support that's customized for your success. That's unconventional thinking 405 00:24:49,320 --> 00:24:50,640 Speaker 1: from T Mobile for Business