1 00:00:03,760 --> 00:00:06,560 Speaker 1: On last week's episode, we discussed the future of connected 2 00:00:06,559 --> 00:00:10,000 Speaker 1: wearables and smart clothing. We heard from Paul de Linger, 3 00:00:10,320 --> 00:00:13,280 Speaker 1: head of Global Product Innovation for Levi Strauss, who is 4 00:00:13,280 --> 00:00:18,239 Speaker 1: developing connected clothing, Paul Winsbur, VP of athlete Performance under Armour, 5 00:00:18,440 --> 00:00:22,480 Speaker 1: who is creating clothing that uses data to boost athletic performance, 6 00:00:22,840 --> 00:00:26,720 Speaker 1: and Natasha Frank, founder and CEO of the startup Eon, 7 00:00:26,960 --> 00:00:31,200 Speaker 1: who is leveraging smartship technology to connect consumers to manufacturers 8 00:00:31,320 --> 00:00:44,479 Speaker 1: to drive better sustainability and new customer experiences. The automobile 9 00:00:44,600 --> 00:00:47,000 Speaker 1: has forever changed the way we're able to reach one 10 00:00:47,000 --> 00:00:51,400 Speaker 1: another and stay connected over great distances, but imagine a 11 00:00:51,479 --> 00:00:54,280 Speaker 1: future where our cars could connect to each other. The 12 00:00:54,360 --> 00:00:57,560 Speaker 1: next generation of wireless innovation with future five gen networks 13 00:00:57,760 --> 00:01:00,720 Speaker 1: will create new opportunities for connect to consume humors and 14 00:01:00,800 --> 00:01:04,480 Speaker 1: the ever changing landscape of the automotive industry. Thanks to 15 00:01:04,480 --> 00:01:08,680 Speaker 1: support from Temobile for Business Today would explore how advancements 16 00:01:08,680 --> 00:01:12,679 Speaker 1: in five G connectivity will enable innovations in transportation that 17 00:01:12,720 --> 00:01:29,440 Speaker 1: will shape the way consumers travel and commute. We're trying 18 00:01:29,480 --> 00:01:33,440 Speaker 1: to evolve and reinvent rental, and we need to evolve 19 00:01:33,520 --> 00:01:36,600 Speaker 1: to meet it with the vehicles that people want to utilize, 20 00:01:37,319 --> 00:01:40,120 Speaker 1: and then how we manage those vehicles, which is primarily 21 00:01:40,120 --> 00:01:43,160 Speaker 1: now going to be data driven. And that also means 22 00:01:43,240 --> 00:01:46,399 Speaker 1: that we have to communicate not only really well with 23 00:01:46,440 --> 00:01:49,000 Speaker 1: our customers, we have to communicate really well and in 24 00:01:49,040 --> 00:01:54,080 Speaker 1: real time with our cars. That's Arthur or Dounia, chief 25 00:01:54,120 --> 00:01:57,559 Speaker 1: innovation officer at Avis Budget Group, the global car rental 26 00:01:57,600 --> 00:02:00,200 Speaker 1: company that also owns the popular car sharing of his 27 00:02:00,720 --> 00:02:04,000 Speaker 1: zip car. Right now, we maintain on average about anywhere 28 00:02:04,000 --> 00:02:07,080 Speaker 1: between five hundreds and six hundred thousand global fleet because 29 00:02:07,080 --> 00:02:10,000 Speaker 1: we go up and down, so we ended the year 30 00:02:10,200 --> 00:02:13,480 Speaker 1: well over two hundred thousand of our fleet now completely connected. 31 00:02:14,280 --> 00:02:17,080 Speaker 1: Also makes a distinction between the regular fleet and the 32 00:02:17,120 --> 00:02:21,080 Speaker 1: connected fleet, and an important part of his responsibility is 33 00:02:21,120 --> 00:02:23,920 Speaker 1: to make sure more and more of the fleet is connected. 34 00:02:24,400 --> 00:02:27,120 Speaker 1: What does it mean to be able then to talk 35 00:02:27,200 --> 00:02:29,960 Speaker 1: to a car and have that car talked to us. 36 00:02:30,720 --> 00:02:35,880 Speaker 1: There really isn't an industry standard definition. Our definition is 37 00:02:35,919 --> 00:02:40,959 Speaker 1: really tied to about five requirements. So we leverage GPS 38 00:02:41,000 --> 00:02:45,120 Speaker 1: to give us real time location. We use telemetry in 39 00:02:45,120 --> 00:02:47,760 Speaker 1: the car to give us the second requirement, which is 40 00:02:47,840 --> 00:02:51,480 Speaker 1: real time mileage. We want to know how many miles 41 00:02:51,520 --> 00:02:54,360 Speaker 1: are on that car at any given point. The third 42 00:02:54,720 --> 00:02:57,800 Speaker 1: is fuel. We want to know two within a tenth 43 00:02:57,800 --> 00:03:00,200 Speaker 1: of a gallon or a leader, how much few was 44 00:03:00,240 --> 00:03:03,160 Speaker 1: in that car if it's an internal combustion engine, or 45 00:03:03,200 --> 00:03:06,000 Speaker 1: what percentage of charge if it's a hybrid or an 46 00:03:06,000 --> 00:03:10,760 Speaker 1: e V. The fourth is real time communication with the 47 00:03:10,840 --> 00:03:14,400 Speaker 1: other systems of the car, so low tire pressure is 48 00:03:14,440 --> 00:03:18,560 Speaker 1: one example. And then the fifth one is lock unlocked 49 00:03:18,760 --> 00:03:23,240 Speaker 1: slash immobilization remotely like through the cloud, and that's what 50 00:03:23,480 --> 00:03:28,480 Speaker 1: is key for zip car. What Arthur describes and the 51 00:03:28,520 --> 00:03:31,840 Speaker 1: way people can now interact with connected cars is radically 52 00:03:31,840 --> 00:03:33,639 Speaker 1: different from what it was like to rent a car 53 00:03:34,040 --> 00:03:36,280 Speaker 1: just ten years ago. But it was normal to wait 54 00:03:36,320 --> 00:03:38,800 Speaker 1: in line and haphazardly looked for your car in a 55 00:03:38,920 --> 00:03:43,280 Speaker 1: sea of similar looking vehicles. And the businesses who oversee 56 00:03:43,440 --> 00:03:47,360 Speaker 1: large fleets of vehicles, whether car rental, right sharing, or 57 00:03:47,400 --> 00:03:51,120 Speaker 1: even mass transit, there are powerful commercial benefits to having 58 00:03:51,120 --> 00:03:55,480 Speaker 1: more data about utilization. One of the technological advancements that 59 00:03:55,520 --> 00:03:57,760 Speaker 1: has allowed for many of these changes to take place 60 00:03:58,200 --> 00:04:01,560 Speaker 1: is improved wireless networks, but we're on at the beginning 61 00:04:01,600 --> 00:04:04,320 Speaker 1: of that story. In this episode, we look at how 62 00:04:04,360 --> 00:04:08,000 Speaker 1: five G could transform mobility, whether you're renting a connected 63 00:04:08,040 --> 00:04:12,680 Speaker 1: car or riding in a fully autonomous vehicle. I'm as Rushian, 64 00:04:13,120 --> 00:04:20,080 Speaker 1: welcome to this time tomorrow, So Carol. When I think 65 00:04:20,120 --> 00:04:22,400 Speaker 1: about all the advancements that have come along since the 66 00:04:22,440 --> 00:04:24,920 Speaker 1: smartphone and four G, some of the first that come 67 00:04:24,960 --> 00:04:27,280 Speaker 1: to mind are related to how we get around and 68 00:04:27,320 --> 00:04:29,000 Speaker 1: when was the last time you bought a guide book 69 00:04:29,000 --> 00:04:31,320 Speaker 1: when you went to a new city. Now I don't 70 00:04:31,320 --> 00:04:34,280 Speaker 1: do that. Um, I turned my phone on when I arrive, 71 00:04:34,360 --> 00:04:36,320 Speaker 1: and I use Google Maps to figure out if there's 72 00:04:36,320 --> 00:04:39,040 Speaker 1: public transportation to get me where I'm going, and if 73 00:04:39,080 --> 00:04:42,520 Speaker 1: there isn't, I call Uber and I find somewhere to 74 00:04:42,560 --> 00:04:45,599 Speaker 1: go to launch on Yelp. And then sometimes if I 75 00:04:45,680 --> 00:04:48,520 Speaker 1: have landed and don't know where to stay, yes, that happens, 76 00:04:48,800 --> 00:04:52,800 Speaker 1: I look on Airbnb, right, I mean, I confess I 77 00:04:52,880 --> 00:04:58,359 Speaker 1: have actually bought guidebooks very recently pas scroll within the 78 00:04:58,440 --> 00:05:01,279 Speaker 1: last three months. But even at home, you know, we 79 00:05:01,320 --> 00:05:03,960 Speaker 1: can access bike shares, figure out when to leave here 80 00:05:03,960 --> 00:05:05,799 Speaker 1: on the subway, so we arrive at work on time, 81 00:05:06,279 --> 00:05:09,200 Speaker 1: look at live traffic, pick a route accordingly. In fact, 82 00:05:09,279 --> 00:05:11,840 Speaker 1: qualcom who we spoke to an episode one and who 83 00:05:11,880 --> 00:05:14,480 Speaker 1: make the chips that power many four G devices. Were 84 00:05:14,520 --> 00:05:18,400 Speaker 1: early investors in ways the mapping software, presumally because they 85 00:05:18,440 --> 00:05:22,040 Speaker 1: believe mobility could be transformed by connectivity. Yeah, you know, 86 00:05:22,160 --> 00:05:26,680 Speaker 1: nobody could have predicted exactly how four G would transform mobility, 87 00:05:26,720 --> 00:05:29,440 Speaker 1: but the effects have been huge. You and I were 88 00:05:29,600 --> 00:05:33,240 Speaker 1: at cs a little ways back in Las Vegas, and 89 00:05:33,240 --> 00:05:37,479 Speaker 1: we saw so many booths where companies were discussing how 90 00:05:37,760 --> 00:05:41,440 Speaker 1: the future five G networks might transform different parts of transportation, 91 00:05:41,520 --> 00:05:45,799 Speaker 1: everything from autonomous vehicles to drones to my personal favorite, 92 00:05:45,839 --> 00:05:48,040 Speaker 1: last mile logistics, which is how a package will get 93 00:05:48,080 --> 00:05:52,320 Speaker 1: to my house package queen. But there are potential benefits 94 00:05:52,360 --> 00:05:55,320 Speaker 1: from five G in the world and mobility in everything 95 00:05:55,440 --> 00:05:59,919 Speaker 1: from easing traffic congestion to safety and even mitigating environment 96 00:06:00,000 --> 00:06:02,760 Speaker 1: an impact through more efficient traffic networks. And then of 97 00:06:02,800 --> 00:06:06,320 Speaker 1: course there's making better customer experiences. And then of course 98 00:06:06,400 --> 00:06:10,279 Speaker 1: there are the long promised self driving cars. I feel 99 00:06:10,320 --> 00:06:13,160 Speaker 1: like there's a little bit of self driving car fatigue 100 00:06:13,400 --> 00:06:15,960 Speaker 1: because we've been talking about them for so long. But 101 00:06:16,000 --> 00:06:18,760 Speaker 1: a few months ago I actually saw a really interesting 102 00:06:18,880 --> 00:06:22,640 Speaker 1: article about a company called Voyage, who are pioneering autonomous 103 00:06:22,720 --> 00:06:26,320 Speaker 1: vehicles in retirement communities and this struck me as a 104 00:06:26,400 --> 00:06:29,640 Speaker 1: super interesting use case. So I actually got to speak 105 00:06:29,640 --> 00:06:33,119 Speaker 1: to the CEO and founder, Oliver Cameron, and I spoke 106 00:06:33,160 --> 00:06:36,279 Speaker 1: to Marcus Wells, who you and I met at CS 107 00:06:36,320 --> 00:06:39,920 Speaker 1: and who runs the intelligent traffic systems business for Siemens 108 00:06:39,960 --> 00:06:43,880 Speaker 1: here in the US. His experience is in intelligent infrastructure, 109 00:06:44,040 --> 00:06:45,960 Speaker 1: and we talked about how five G could change the 110 00:06:46,000 --> 00:06:49,120 Speaker 1: way we use public transport. Before we get there, though, 111 00:06:49,440 --> 00:06:51,800 Speaker 1: let's go back to Arthur and how he's working to 112 00:06:51,800 --> 00:06:58,640 Speaker 1: integrate technology and connectivity to transform AVIS budgets business. The 113 00:06:58,760 --> 00:07:02,520 Speaker 1: problem set that rental solves is not going to go 114 00:07:02,600 --> 00:07:05,840 Speaker 1: away anytime in the near or long term future, because 115 00:07:05,880 --> 00:07:09,400 Speaker 1: that problem, said is, Hey, I don't have access to 116 00:07:09,440 --> 00:07:12,240 Speaker 1: the car or the vehicle that I own. I'm in 117 00:07:12,240 --> 00:07:14,280 Speaker 1: the next city over, or I'm on the other side 118 00:07:14,280 --> 00:07:17,400 Speaker 1: of the world. I need some mobility. So I think 119 00:07:17,440 --> 00:07:20,240 Speaker 1: today and for the last seven years, that solution has 120 00:07:20,240 --> 00:07:22,960 Speaker 1: been here's a car. Do you need it for an hour, 121 00:07:23,640 --> 00:07:25,640 Speaker 1: then become a zip car member. Do you need it 122 00:07:25,680 --> 00:07:28,440 Speaker 1: for a couple of weeks or for a couple of days, 123 00:07:28,640 --> 00:07:31,640 Speaker 1: then here's Avis or here's budget. In order to improve 124 00:07:31,720 --> 00:07:34,360 Speaker 1: on the experience, of renting a car, whether for an 125 00:07:34,360 --> 00:07:37,240 Speaker 1: hour or for a few days. Avi's budget didn't simply 126 00:07:37,280 --> 00:07:41,320 Speaker 1: chase new technology. They turned to their uses. We took 127 00:07:41,560 --> 00:07:46,120 Speaker 1: a product design approach to solve a customer problem. So 128 00:07:46,160 --> 00:07:49,040 Speaker 1: we actually began with a customer journey that said, how 129 00:07:49,040 --> 00:07:53,040 Speaker 1: do people consume our product today? Instead of just saying, oh, 130 00:07:53,160 --> 00:07:55,920 Speaker 1: let's create a new mobile app and make it look pretty. 131 00:07:56,040 --> 00:08:00,320 Speaker 1: We identified the key problem, such including not wanting to 132 00:08:00,320 --> 00:08:03,040 Speaker 1: stand in line, and said, okay, how do we actually 133 00:08:03,040 --> 00:08:05,240 Speaker 1: then create a solution for that. Oh, well, it ought 134 00:08:05,280 --> 00:08:07,440 Speaker 1: to be in people's pockets so that they can discover 135 00:08:07,840 --> 00:08:09,880 Speaker 1: at any time and utilize it. Oh, they don't want 136 00:08:09,880 --> 00:08:11,640 Speaker 1: to stand in the counter, they want to bypass it. 137 00:08:11,680 --> 00:08:14,240 Speaker 1: Oh that sounds cool. Oh it's if it's a connected 138 00:08:14,240 --> 00:08:16,760 Speaker 1: car and it's raining out there, Can we just make 139 00:08:16,800 --> 00:08:18,440 Speaker 1: sure you can turn on the lights or hank the 140 00:08:18,440 --> 00:08:21,080 Speaker 1: horn there it is, and then unlock the car really quickly? 141 00:08:21,440 --> 00:08:23,960 Speaker 1: Can I get out of this parking lot or out 142 00:08:23,960 --> 00:08:27,240 Speaker 1: of this garage really quickly? If we can authenticate that 143 00:08:27,320 --> 00:08:30,720 Speaker 1: it's the right person in the right car on the 144 00:08:30,800 --> 00:08:34,600 Speaker 1: right day and time, sure, go ahead leave. After making 145 00:08:34,600 --> 00:08:36,880 Speaker 1: it possible for people to more easily connect with their 146 00:08:36,920 --> 00:08:40,080 Speaker 1: rental cause. Author and his team got feedback from another 147 00:08:40,120 --> 00:08:45,320 Speaker 1: important group of stakeholders, Davis Budget employees. What happens when 148 00:08:45,360 --> 00:08:49,320 Speaker 1: you start listening as well to your employees and you 149 00:08:49,360 --> 00:08:52,600 Speaker 1: start thinking about them as customers and then suddenly we 150 00:08:52,640 --> 00:08:56,080 Speaker 1: had another turn. We had another set of customer journey 151 00:08:56,080 --> 00:08:58,280 Speaker 1: and pain points, but it was tied to the life 152 00:08:58,280 --> 00:09:01,240 Speaker 1: cycle of the car. How about our folks and our 153 00:09:01,320 --> 00:09:04,000 Speaker 1: colleagues who actually have to rent these cars out, have 154 00:09:04,120 --> 00:09:06,760 Speaker 1: to maintain and manage them, have to repair them, have 155 00:09:06,880 --> 00:09:09,720 Speaker 1: to clean and gas them, have to shuttle them from 156 00:09:09,720 --> 00:09:12,040 Speaker 1: one location to another, and we have to do so 157 00:09:12,080 --> 00:09:15,520 Speaker 1: at eleven thousand locations. Isn't there a better way of 158 00:09:15,520 --> 00:09:19,680 Speaker 1: doing that? How about connecting to our employees and to 159 00:09:19,800 --> 00:09:23,240 Speaker 1: our fleet. At the heart of Arthur's efforts to better 160 00:09:23,240 --> 00:09:26,560 Speaker 1: serve customers and employees is better connection to the vehicles 161 00:09:26,600 --> 00:09:29,640 Speaker 1: in the fleet. It allows customers to skip lines and 162 00:09:29,720 --> 00:09:33,480 Speaker 1: employees to track vehicle life cycles so they can detect 163 00:09:33,520 --> 00:09:35,680 Speaker 1: things like the car that's supposed to be rented on 164 00:09:35,720 --> 00:09:37,720 Speaker 1: the same day it needs to have a tire changed. 165 00:09:38,360 --> 00:09:41,640 Speaker 1: If this type of business enabled by connectivity is already happening, 166 00:09:42,200 --> 00:09:45,200 Speaker 1: I was curious what changes the higher bandwidth and lower 167 00:09:45,240 --> 00:09:48,600 Speaker 1: latency promised by future of five G networks could enable 168 00:09:48,679 --> 00:09:51,480 Speaker 1: for Arthur and his team actually have started to talk 169 00:09:51,559 --> 00:09:54,400 Speaker 1: heavily about what five G could bring. V to X 170 00:09:55,440 --> 00:10:00,960 Speaker 1: is what fast communication could afford by V two often 171 00:10:01,040 --> 00:10:05,439 Speaker 1: means vehicle to infrastructure communication and that could have far 172 00:10:05,520 --> 00:10:08,360 Speaker 1: reaching implications for how we get around. One of those 173 00:10:08,440 --> 00:10:12,199 Speaker 1: natural partners is a city, right, so could we exchange 174 00:10:12,320 --> 00:10:16,120 Speaker 1: data with the city that provides us safer smart roots 175 00:10:17,120 --> 00:10:20,240 Speaker 1: in real time? And in exchange for that, could we 176 00:10:20,360 --> 00:10:22,920 Speaker 1: give data back to the city that our sensors collect 177 00:10:23,200 --> 00:10:26,160 Speaker 1: that give them conditions of roads that we traverse on 178 00:10:26,200 --> 00:10:28,839 Speaker 1: a daily basis with lots and lots of cars, so 179 00:10:28,880 --> 00:10:32,319 Speaker 1: that they can understand in real time which roads actually 180 00:10:32,320 --> 00:10:36,400 Speaker 1: need to be repaired when. So it's our expertise and 181 00:10:36,480 --> 00:10:41,760 Speaker 1: next generation fleet management and connectivity that if cities want 182 00:10:41,840 --> 00:10:46,200 Speaker 1: to see fewer and fewer private vehicles right, individually owned 183 00:10:46,280 --> 00:10:50,920 Speaker 1: vehicles on the road, that actually matches our ambition. Who's 184 00:10:50,920 --> 00:10:54,360 Speaker 1: owning and managing those fleets? We think it could be 185 00:10:54,440 --> 00:10:59,080 Speaker 1: us leveraging connectivity which we learned beginning with zip car, 186 00:10:59,240 --> 00:11:03,640 Speaker 1: but expand ending Avis Budget Group into hopefully a potential 187 00:11:03,720 --> 00:11:10,400 Speaker 1: leadership position for the next generation of mobility. So Karrot, 188 00:11:10,480 --> 00:11:12,880 Speaker 1: what I find really interesting about what Arthur said is 189 00:11:12,880 --> 00:11:15,640 Speaker 1: that let's say we do find ourselves in this fully 190 00:11:15,679 --> 00:11:18,400 Speaker 1: autonomous world where we can call up a self driving 191 00:11:18,440 --> 00:11:20,120 Speaker 1: car whenever we need it and get to where we 192 00:11:20,160 --> 00:11:23,480 Speaker 1: need to go, someone still needs to manage the fleet right. 193 00:11:23,520 --> 00:11:26,000 Speaker 1: There needs to be humans in the loop, and a 194 00:11:26,040 --> 00:11:28,760 Speaker 1: pretty intricate system needs to be put in place to 195 00:11:28,840 --> 00:11:31,880 Speaker 1: make sure those vehicles are ready for the road. I've 196 00:11:31,920 --> 00:11:35,760 Speaker 1: walked by many a city bike stand and seeing some 197 00:11:35,840 --> 00:11:39,920 Speaker 1: bikes that no longer look like bicycles. That makes me 198 00:11:39,960 --> 00:11:43,520 Speaker 1: think how important it is that bike operating companies have 199 00:11:43,640 --> 00:11:46,840 Speaker 1: good data. Good data understand what's going on with the bikes, 200 00:11:47,040 --> 00:11:49,520 Speaker 1: who's using them, where they need to tune up. And 201 00:11:49,600 --> 00:11:52,760 Speaker 1: data has already become such an important driver of the 202 00:11:52,800 --> 00:11:55,319 Speaker 1: new economy. And that's what kind of what Arthur was saying. 203 00:11:55,760 --> 00:11:58,360 Speaker 1: All of a sudden, the data created by advis budgets 204 00:11:58,360 --> 00:12:01,719 Speaker 1: connective vehicles position them to part with cities on all 205 00:12:01,800 --> 00:12:05,040 Speaker 1: kinds of future mobility initiatives. As we know the promise 206 00:12:05,080 --> 00:12:07,800 Speaker 1: of future five gen networks, it's all about collecting more 207 00:12:07,880 --> 00:12:12,440 Speaker 1: data and processing it more efficiently to inform better decision making. Yeah, 208 00:12:12,440 --> 00:12:15,160 Speaker 1: and in the case of data generated by self driving cars, 209 00:12:15,440 --> 00:12:18,920 Speaker 1: according to tech Crunch, Weymo, which is Google self driving 210 00:12:18,920 --> 00:12:22,760 Speaker 1: car project, has driven ten million miles on real roads 211 00:12:22,760 --> 00:12:26,560 Speaker 1: and ten billion simulated miles. The data from the real 212 00:12:26,640 --> 00:12:30,719 Speaker 1: roads constantly makes the simulation more realistic, and five G 213 00:12:30,840 --> 00:12:34,000 Speaker 1: networks promised to make the data gathered from vehicles much richer. 214 00:12:34,880 --> 00:12:38,920 Speaker 1: That's said, it's not clear if and how autonomous vehicles 215 00:12:38,920 --> 00:12:41,959 Speaker 1: will fully roll out. To find out more, I spoke 216 00:12:42,000 --> 00:12:45,640 Speaker 1: with Oliver Cameron, the CEO of an autonomous vehicle company 217 00:12:45,679 --> 00:12:54,000 Speaker 1: called Voyage. What we're really focused on a Voyage is 218 00:12:54,120 --> 00:12:58,080 Speaker 1: delivering on the promise of self driving cause this technology 219 00:12:58,200 --> 00:13:02,520 Speaker 1: has this immense, you know, ount of potential, but in 220 00:13:02,559 --> 00:13:06,040 Speaker 1: many cases it's just woods, right, we're all, you know, 221 00:13:06,160 --> 00:13:10,760 Speaker 1: dreaming of this future. Oliver's right, Despite all the talk, 222 00:13:11,120 --> 00:13:13,880 Speaker 1: self driving cars still seem like something reserved for the 223 00:13:13,920 --> 00:13:16,760 Speaker 1: far off future. But in the last few years, the 224 00:13:16,800 --> 00:13:19,800 Speaker 1: concept of letting a vehicle drive you around became a 225 00:13:19,840 --> 00:13:24,200 Speaker 1: real possibility. But there's so many regulatory and cultural barriers 226 00:13:24,200 --> 00:13:27,600 Speaker 1: to mass adoption. So Voyage is going after a very 227 00:13:27,640 --> 00:13:30,520 Speaker 1: specific use case where the demand is higher and the 228 00:13:30,559 --> 00:13:33,559 Speaker 1: barriers to entry are lower. And what we're really trying 229 00:13:33,600 --> 00:13:36,719 Speaker 1: to do is bring this technology to market sooner and 230 00:13:37,160 --> 00:13:40,840 Speaker 1: in a really impactful way. We want to really focus 231 00:13:40,960 --> 00:13:44,360 Speaker 1: on just one customer and deliver a product for them. 232 00:13:44,720 --> 00:13:49,160 Speaker 1: I very much believe that this technology is going to 233 00:13:49,280 --> 00:13:53,360 Speaker 1: go through a time where it's real and it's out there, 234 00:13:53,559 --> 00:13:57,320 Speaker 1: but people are still using human driven lifts and ubas 235 00:13:57,440 --> 00:14:01,480 Speaker 1: and e bikes and scooters and public transportation and all 236 00:14:01,480 --> 00:14:04,840 Speaker 1: these sorts of things. And what we've really tried to 237 00:14:04,840 --> 00:14:08,120 Speaker 1: do is find a customer who doesn't have those alternatives 238 00:14:08,200 --> 00:14:11,240 Speaker 1: and deliver them that self driving car that can serve 239 00:14:11,280 --> 00:14:15,040 Speaker 1: as their primary means of transportation. And we have some 240 00:14:15,120 --> 00:14:17,640 Speaker 1: great early signs that seniors are going to be using 241 00:14:17,640 --> 00:14:20,240 Speaker 1: our product ten times a day versus you know, twice 242 00:14:20,240 --> 00:14:24,160 Speaker 1: a week. Like non seniors, seniors are seventeen times more 243 00:14:24,240 --> 00:14:26,880 Speaker 1: likely to suffer a fatality in a car crash than 244 00:14:26,880 --> 00:14:30,720 Speaker 1: a non senior. Seniors today are outliving their ability to 245 00:14:30,840 --> 00:14:34,200 Speaker 1: drive by about seven to ten years, So that means 246 00:14:34,200 --> 00:14:38,480 Speaker 1: for a significant chunk of everyone's lives, they are not driving, 247 00:14:38,760 --> 00:14:42,080 Speaker 1: and as we all know, driving as synonymous with independence 248 00:14:42,120 --> 00:14:46,040 Speaker 1: and freedom. Transportation for people who are of advanced age 249 00:14:46,080 --> 00:14:48,800 Speaker 1: and maybe can't drive on their own is a way 250 00:14:48,800 --> 00:14:52,520 Speaker 1: to have autonomy, and like Oliver said, this can radically 251 00:14:52,520 --> 00:14:56,240 Speaker 1: increase quality of life, including the ability to socialize and 252 00:14:56,320 --> 00:14:59,240 Speaker 1: get places on their own terms. But there was another 253 00:14:59,280 --> 00:15:03,000 Speaker 1: reason Voyage felt they could target this market. A significant 254 00:15:03,640 --> 00:15:07,720 Speaker 1: number of senior citizens live in these retirement communities. And 255 00:15:08,000 --> 00:15:11,680 Speaker 1: you know, as a at the time late twenties Silicon 256 00:15:11,800 --> 00:15:14,720 Speaker 1: Valley type, I I will admit that I, you know, 257 00:15:14,760 --> 00:15:16,960 Speaker 1: it was not too well versed in this part of 258 00:15:17,000 --> 00:15:19,880 Speaker 1: real estate. And what I learned was two things. One 259 00:15:19,960 --> 00:15:22,760 Speaker 1: is that these kind of all in one communities for 260 00:15:22,840 --> 00:15:25,920 Speaker 1: seniors is a huge market. Some of these communities are 261 00:15:26,000 --> 00:15:29,640 Speaker 1: hundreds of thousands of people big that is bigger than 262 00:15:29,720 --> 00:15:32,880 Speaker 1: many towns across the country. And then the second thing 263 00:15:32,960 --> 00:15:35,120 Speaker 1: that we discovered is that many of these places are 264 00:15:35,120 --> 00:15:39,240 Speaker 1: master planned. They reduced speed limits, They add more structure 265 00:15:39,320 --> 00:15:41,920 Speaker 1: to the roadways that they build in these communities. That 266 00:15:42,040 --> 00:15:47,120 Speaker 1: means less unprotected left turns and more intersections. It means 267 00:15:47,160 --> 00:15:50,080 Speaker 1: that you make the lanes that little bit wider. And 268 00:15:50,200 --> 00:15:52,560 Speaker 1: I couldn't think of a better analogy for the state 269 00:15:52,600 --> 00:15:55,080 Speaker 1: of the art and self driving cars in twenty seventeen. 270 00:15:55,680 --> 00:15:58,280 Speaker 1: So we see senior citizens as our go to market. 271 00:15:58,480 --> 00:16:01,560 Speaker 1: It's our Amazon Books, if you will. Amazon of course 272 00:16:01,600 --> 00:16:04,720 Speaker 1: didn't try and build everything from day one, and we're 273 00:16:04,760 --> 00:16:07,760 Speaker 1: gonna really build momentum in that market and then we'll 274 00:16:07,760 --> 00:16:13,280 Speaker 1: continue to expand. Cities present a lot of challenges to 275 00:16:13,360 --> 00:16:16,360 Speaker 1: self driving cars. Anyone who has driven in New York 276 00:16:16,400 --> 00:16:19,160 Speaker 1: City or Los Angeles can tell you that it's unpredictable 277 00:16:19,400 --> 00:16:23,440 Speaker 1: and complicated. Choosing these carefully built communities was a safe 278 00:16:23,440 --> 00:16:26,600 Speaker 1: and effective way for Voyage to pilot their self driving cars. 279 00:16:27,120 --> 00:16:31,080 Speaker 1: Are self driving technology is really designed for zero to 280 00:16:31,160 --> 00:16:34,120 Speaker 1: twenty five miles an hour today. That does not mean 281 00:16:34,160 --> 00:16:36,400 Speaker 1: that we need to revamp it or rewrite it for 282 00:16:36,520 --> 00:16:39,520 Speaker 1: zero to thirty five, zero to forty five. It just 283 00:16:39,640 --> 00:16:43,440 Speaker 1: means we'll need to spend that extra time validating and 284 00:16:43,520 --> 00:16:46,560 Speaker 1: refining a few things to get it ready. But our 285 00:16:46,600 --> 00:16:50,880 Speaker 1: technology is capable of handling a ton of complexity, whether 286 00:16:50,920 --> 00:16:56,440 Speaker 1: it's roundabouts, unprotected lefts into sections, jay walkers, you know, 287 00:16:56,520 --> 00:16:58,840 Speaker 1: lots of the craziness you see on the roads today. 288 00:16:58,960 --> 00:17:02,040 Speaker 1: We're really interested right now and getting the recipe correct 289 00:17:02,160 --> 00:17:03,920 Speaker 1: We're not going to do this in a rush. This 290 00:17:04,000 --> 00:17:07,240 Speaker 1: is a three ton vehicle that is moving around the 291 00:17:07,280 --> 00:17:11,840 Speaker 1: world and is controlled by software that we write, So 292 00:17:12,359 --> 00:17:15,440 Speaker 1: we are very cognizant of that responsibility and that kind 293 00:17:15,440 --> 00:17:20,440 Speaker 1: of commitment to safety. With so much buzz around self 294 00:17:20,520 --> 00:17:23,760 Speaker 1: driving cars, unless you've been in one, it's hard to 295 00:17:23,840 --> 00:17:28,480 Speaker 1: grasp what's reality, what's ambition, and what's actually possible for 296 00:17:28,520 --> 00:17:33,080 Speaker 1: the future. So today our vehicles have test drivers behind 297 00:17:33,119 --> 00:17:36,920 Speaker 1: the wheel to really enable us to stress test this technology. 298 00:17:37,640 --> 00:17:41,280 Speaker 1: That's an industry standard at this point in time. Like 299 00:17:41,400 --> 00:17:44,240 Speaker 1: most of the industry, these self driving cars don't drive 300 00:17:44,320 --> 00:17:48,440 Speaker 1: like humans. They drive a little robotically and they're very 301 00:17:48,520 --> 00:17:51,640 Speaker 1: very precise, right, which from a safety perspective you can 302 00:17:51,720 --> 00:17:55,280 Speaker 1: argue is tremendous, but from a comfort feel, it's a 303 00:17:55,320 --> 00:17:59,200 Speaker 1: little disorientating. It has three D sixty degree vision. It 304 00:17:59,320 --> 00:18:02,439 Speaker 1: can see, in our case, up to three meters around it, 305 00:18:02,880 --> 00:18:05,840 Speaker 1: and it has superhuman vision through a bunch of different modalities, 306 00:18:05,920 --> 00:18:08,959 Speaker 1: so you know, it's reacting to things that humans just 307 00:18:09,040 --> 00:18:12,080 Speaker 1: don't really perceive. It's almost too precise, and how it 308 00:18:12,200 --> 00:18:14,280 Speaker 1: drives and it needs some of that sort of human 309 00:18:14,359 --> 00:18:19,159 Speaker 1: feel and how it overtakes vehicles. It's a testament to 310 00:18:19,240 --> 00:18:22,400 Speaker 1: how far self driving technology has come that the problems 311 00:18:22,440 --> 00:18:25,760 Speaker 1: that Oliver is working on has moved from safety to 312 00:18:25,920 --> 00:18:29,760 Speaker 1: how to get autonomous vehicles to safely mimic a human feel. 313 00:18:30,480 --> 00:18:33,560 Speaker 1: One of the other big challenges is marketing, and I 314 00:18:33,600 --> 00:18:38,200 Speaker 1: wondered how you successfully persuade seniors to adopt an unusual technology. 315 00:18:38,680 --> 00:18:41,040 Speaker 1: One of the things that actually surprised me in the 316 00:18:41,119 --> 00:18:45,280 Speaker 1: very beginning is that I heard a lot that seniors 317 00:18:45,440 --> 00:18:51,120 Speaker 1: may in many cases avoid adopting new technologies. I learned 318 00:18:51,119 --> 00:18:53,040 Speaker 1: from many seniors who kind of schooled me on this 319 00:18:53,119 --> 00:18:56,280 Speaker 1: is that, you know, we younger folks like to think 320 00:18:56,320 --> 00:18:59,679 Speaker 1: of self driving causes this amazing cutting edge innovation and 321 00:18:59,720 --> 00:19:02,000 Speaker 1: oh my god, this is going to transform cities. And 322 00:19:02,640 --> 00:19:06,120 Speaker 1: seniors have heard this story many times, because, for example, 323 00:19:06,160 --> 00:19:09,600 Speaker 1: our oldest passenger was nine five years old, and this 324 00:19:09,720 --> 00:19:13,520 Speaker 1: senior likes to tell me quite frequently that she remembers 325 00:19:13,520 --> 00:19:16,520 Speaker 1: growing up and riding in a horse and cart, that 326 00:19:16,520 --> 00:19:19,920 Speaker 1: that was a thing, you know, And the senior growing 327 00:19:20,000 --> 00:19:23,960 Speaker 1: up has seen the birth of flight, the birth of 328 00:19:24,119 --> 00:19:28,200 Speaker 1: the automobile, the birth of mass transit. They've just seen 329 00:19:28,440 --> 00:19:32,640 Speaker 1: all of these many different transportation innovations. So you tell them, hey, 330 00:19:32,680 --> 00:19:35,080 Speaker 1: come for a right in a self driving car. And 331 00:19:35,600 --> 00:19:37,879 Speaker 1: I had hoped that people would be kind of jumping 332 00:19:37,880 --> 00:19:40,280 Speaker 1: in their seats with excitement, but you know, many of 333 00:19:40,280 --> 00:19:43,040 Speaker 1: these seniors are like, so, what I took a plaim 334 00:19:43,119 --> 00:19:44,920 Speaker 1: right in the fifties, And they'll tell you all about 335 00:19:44,920 --> 00:19:49,000 Speaker 1: that story. Oliver's ultimate vision is for the computational power 336 00:19:49,160 --> 00:19:52,480 Speaker 1: that autonomous vehicles require to be housed in the car 337 00:19:52,560 --> 00:19:56,159 Speaker 1: itself so it can make safe decisions even if network 338 00:19:56,160 --> 00:20:00,400 Speaker 1: connection fails. But he also sees many potentially trans formative 339 00:20:00,400 --> 00:20:04,000 Speaker 1: benefits that could come with future five G networks, because 340 00:20:04,040 --> 00:20:08,560 Speaker 1: definitely benefits to five G in the logistics, let's say, 341 00:20:08,560 --> 00:20:12,400 Speaker 1: of operating self driving vehicles. The more information we can 342 00:20:12,440 --> 00:20:15,800 Speaker 1: send about the vehicle over the network, the more a 343 00:20:15,920 --> 00:20:19,320 Speaker 1: human can better aid the vehicle. It's clear to me 344 00:20:19,440 --> 00:20:22,680 Speaker 1: that humans are going to be involved in aiding the 345 00:20:22,720 --> 00:20:26,440 Speaker 1: fleets of self driving cause for quite some time, whether 346 00:20:26,480 --> 00:20:30,840 Speaker 1: it's dispatching, rerouting, customer support, humans are going to be 347 00:20:30,880 --> 00:20:33,679 Speaker 1: integral to that. Will it be beneficial to have a 348 00:20:33,680 --> 00:20:37,440 Speaker 1: low latency connection to each and every vehicle through five G? 349 00:20:38,000 --> 00:20:40,879 Speaker 1: That's going to be you know, hugely beneficial for those things. 350 00:20:41,560 --> 00:20:45,399 Speaker 1: Oliver is talking about five G enabling efficient fleet management, 351 00:20:45,640 --> 00:20:48,920 Speaker 1: which would benefit businesses, but he also sees the potential 352 00:20:48,960 --> 00:20:52,439 Speaker 1: for real benefits to consumers as autonomous vehicles will be 353 00:20:52,480 --> 00:20:57,200 Speaker 1: able to use real time data to plan more efficient journeys. Today, 354 00:20:57,280 --> 00:21:00,280 Speaker 1: when we go out for the day, we begin day 355 00:21:00,320 --> 00:21:05,320 Speaker 1: by downloading the freshest maps. If anything changes construction or 356 00:21:05,320 --> 00:21:09,680 Speaker 1: what have you, that map is instantly stale. So would 357 00:21:09,680 --> 00:21:13,240 Speaker 1: it be beneficial for in the moment construction to be 358 00:21:13,359 --> 00:21:16,879 Speaker 1: noted in that map and then pushed within seconds to 359 00:21:17,000 --> 00:21:20,560 Speaker 1: every vehicle that's currently operating for sure, being able to 360 00:21:20,600 --> 00:21:24,639 Speaker 1: send over any information because latency and network bandwidth is 361 00:21:24,680 --> 00:21:28,560 Speaker 1: not a concern. That's amazing. So lots of benefits to 362 00:21:28,680 --> 00:21:32,880 Speaker 1: five G for sure that will adopt progressively. We're excited 363 00:21:32,880 --> 00:21:41,919 Speaker 1: about those. The future with five G is coming today. 364 00:21:42,119 --> 00:21:45,080 Speaker 1: T Mobile is leading the five G charge with thirty 365 00:21:45,119 --> 00:21:49,000 Speaker 1: billion dollars invested in their network to deliver new capabilities. 366 00:21:49,560 --> 00:21:53,639 Speaker 1: Improved connectivity and true mobility provided by an advanced network 367 00:21:53,680 --> 00:21:56,239 Speaker 1: from T Mobile for business could change the way we 368 00:21:56,280 --> 00:21:59,440 Speaker 1: all live and work. The five G era will take 369 00:21:59,480 --> 00:22:02,800 Speaker 1: the bestechnology is available today in the wireless space so 370 00:22:02,840 --> 00:22:06,240 Speaker 1: that you can offer new capabilities to your business customers. 371 00:22:06,760 --> 00:22:09,280 Speaker 1: T Mobile for Business knows that the future of business 372 00:22:09,320 --> 00:22:12,960 Speaker 1: will be powered by advancements in wireless networks. With these 373 00:22:13,000 --> 00:22:15,840 Speaker 1: new technologies opening the doors for better ways to get 374 00:22:15,840 --> 00:22:19,560 Speaker 1: the job done. Business is changing. Learn more at t 375 00:22:19,720 --> 00:22:27,800 Speaker 1: mobile for Business dot com. So as it was interesting 376 00:22:27,880 --> 00:22:31,040 Speaker 1: to hear Oliver talking about a future of autonomous vehicles 377 00:22:31,320 --> 00:22:34,720 Speaker 1: where humans actually remain in the loop, not on decisions 378 00:22:34,760 --> 00:22:37,159 Speaker 1: related to the actual car driving, but in terms of 379 00:22:37,200 --> 00:22:41,480 Speaker 1: fleet management, logistics, and presumably customer service. Right well, the 380 00:22:41,520 --> 00:22:45,320 Speaker 1: reasonability is such a hard problem is because it's so complex. 381 00:22:45,640 --> 00:22:49,800 Speaker 1: There's so many interactions between people and cars, people in infrastructure, 382 00:22:50,160 --> 00:22:53,320 Speaker 1: cars and infrastructure that will need to happen in real time. 383 00:22:53,480 --> 00:22:56,879 Speaker 1: And so although voyages building towards the future where autonomous 384 00:22:56,960 --> 00:23:00,040 Speaker 1: vehicles can operate without network connection, there are also the 385 00:23:00,119 --> 00:23:02,240 Speaker 1: benefits you can imagine in a world of five G, 386 00:23:02,920 --> 00:23:06,199 Speaker 1: things like much improved real time mapping. Imagine all the 387 00:23:06,280 --> 00:23:08,080 Speaker 1: time you'd have on your hands if you don't have 388 00:23:08,119 --> 00:23:10,720 Speaker 1: to drive. You know, right now, if you drive you 389 00:23:10,720 --> 00:23:13,760 Speaker 1: can listen to podcast. But five G could actually enable 390 00:23:13,880 --> 00:23:18,040 Speaker 1: live streaming video to vehicles at a massive scale. We 391 00:23:18,160 --> 00:23:21,000 Speaker 1: focused so far on this episode quite heavily on cars, 392 00:23:21,320 --> 00:23:24,480 Speaker 1: but future five G networks promised to transform all kinds 393 00:23:24,480 --> 00:23:28,080 Speaker 1: of vehicles and in particular the interaction between different modes 394 00:23:28,160 --> 00:23:31,639 Speaker 1: of transportation. This is something that Marcus Well spends a 395 00:23:31,680 --> 00:23:34,360 Speaker 1: long time thinking about. He's the head of the Siemens 396 00:23:34,440 --> 00:23:38,240 Speaker 1: Intelligent Traffic Systems business in the US, and from his perspective, 397 00:23:38,440 --> 00:23:42,240 Speaker 1: connectivity can play an essential role in making transport more 398 00:23:42,280 --> 00:23:45,639 Speaker 1: efficient by allowing us to more easily access different modes. 399 00:23:48,600 --> 00:23:52,280 Speaker 1: So what we do specifically from Seems Intelligent Traffic Systems 400 00:23:52,320 --> 00:23:56,800 Speaker 1: is that the one and accelerating public transit in cities. 401 00:23:57,160 --> 00:24:01,400 Speaker 1: We are also integrating public transits just m into overall 402 00:24:01,440 --> 00:24:05,760 Speaker 1: traffic management systems, and with that they know exactly which 403 00:24:05,800 --> 00:24:09,159 Speaker 1: buses are delays and which mitigation measures to take in 404 00:24:09,280 --> 00:24:12,960 Speaker 1: order to get those busses back on time. Marcus is 405 00:24:13,000 --> 00:24:16,360 Speaker 1: responsible for creating products the cities by to make life 406 00:24:16,359 --> 00:24:20,840 Speaker 1: of commuters easier and to connect underserved communities. Car density 407 00:24:20,920 --> 00:24:24,000 Speaker 1: is increasing significantly, in the answer cannot be building more roads, 408 00:24:24,320 --> 00:24:27,119 Speaker 1: so we need to consume the infrastructure more efficiently, and 409 00:24:27,160 --> 00:24:30,000 Speaker 1: part of the answer is also an efficient and attractive 410 00:24:30,000 --> 00:24:33,680 Speaker 1: transit systems. Also in five years and even in ten years, 411 00:24:33,960 --> 00:24:36,760 Speaker 1: it won't be just the cast themselves which are getting smarter, 412 00:24:36,880 --> 00:24:40,119 Speaker 1: but also the infrastructure. Where we can do better is 413 00:24:40,240 --> 00:24:43,560 Speaker 1: integrating them into bigger things and really look at mobility 414 00:24:43,600 --> 00:24:47,520 Speaker 1: in a city more holistically, because ultimately, what we need 415 00:24:47,560 --> 00:24:49,520 Speaker 1: to do in order to get people out of the 416 00:24:49,640 --> 00:24:53,800 Speaker 1: car and into a transit system is to think from 417 00:24:53,800 --> 00:24:57,920 Speaker 1: a travelers and commuter's perspective. The key to a more 418 00:24:57,960 --> 00:25:02,760 Speaker 1: sustainable transport situation in cities is certainly also driven by 419 00:25:02,960 --> 00:25:07,359 Speaker 1: integration of the various modes. One recent project Siemens has 420 00:25:07,400 --> 00:25:11,119 Speaker 1: worked on is an overhaul of the transportation system in Columbus, Ohio, 421 00:25:11,680 --> 00:25:16,400 Speaker 1: an initiative called Smart Columbus. We are equipping their transit 422 00:25:16,440 --> 00:25:19,359 Speaker 1: fleet with the equipment in order to communicate with the 423 00:25:19,400 --> 00:25:23,120 Speaker 1: infrastructure in real time, so for instance, that the bus 424 00:25:23,200 --> 00:25:25,679 Speaker 1: driver gets a warning if he or she is on 425 00:25:25,720 --> 00:25:29,400 Speaker 1: an impending wed light violation. And in Columbus we are 426 00:25:30,040 --> 00:25:34,640 Speaker 1: integrating the rail car, the bus system, right tailing, car sharing, 427 00:25:35,119 --> 00:25:39,879 Speaker 1: the taxis and the fleet of scooters into one system. 428 00:25:39,920 --> 00:25:43,600 Speaker 1: Here you can download the app, the city branded app 429 00:25:44,080 --> 00:25:46,879 Speaker 1: and plant book and pay your trips rather than opening 430 00:25:46,920 --> 00:25:51,760 Speaker 1: individual apps, you just plan and pay your ticket once 431 00:25:51,920 --> 00:25:55,359 Speaker 1: door to door. Marcus deals with all kinds of modes 432 00:25:55,359 --> 00:25:59,520 Speaker 1: of transport, but autonomy and autonomous vehicles very much top 433 00:25:59,560 --> 00:26:02,359 Speaker 1: of mind. Even if his focus is not on cars, 434 00:26:02,960 --> 00:26:05,560 Speaker 1: A traffic cham with no human driver is still a 435 00:26:05,600 --> 00:26:08,920 Speaker 1: traffic cham. So rather than thinking one for one, rather 436 00:26:09,000 --> 00:26:13,760 Speaker 1: than using self driving vehicle technology as replacement for an 437 00:26:13,760 --> 00:26:18,400 Speaker 1: individual car, what I believe is that a autonomous driving 438 00:26:18,440 --> 00:26:21,359 Speaker 1: car can very well be used as a technology to 439 00:26:21,480 --> 00:26:25,480 Speaker 1: enhance public transport. Again, because one of the biggest challenges 440 00:26:26,119 --> 00:26:29,280 Speaker 1: is the first and last mile in any transit system. 441 00:26:29,680 --> 00:26:32,240 Speaker 1: So imagine that those areas in the city which are 442 00:26:32,240 --> 00:26:36,119 Speaker 1: currently underserved in terms of public transport, that a fleet 443 00:26:36,200 --> 00:26:40,200 Speaker 1: of self driving buses could very well solve that problem. 444 00:26:40,240 --> 00:26:43,760 Speaker 1: In Marxist vision, real time user amount could alter the 445 00:26:43,840 --> 00:26:46,760 Speaker 1: roots of public buses, and that would be a profound 446 00:26:46,880 --> 00:26:49,800 Speaker 1: change to how we think about mobility and whether we 447 00:26:49,840 --> 00:26:52,600 Speaker 1: even feel like we need to own private cars. This 448 00:26:52,680 --> 00:26:55,720 Speaker 1: is couldn't be possible in a world of seamless, high 449 00:26:55,760 --> 00:26:59,840 Speaker 1: bandwidth connectivity that the next generation of wireless promises, And 450 00:27:00,040 --> 00:27:02,360 Speaker 1: there are other areas where the promise of future five 451 00:27:02,400 --> 00:27:06,520 Speaker 1: gene networks excites markers. So whenever five geese ready for 452 00:27:06,880 --> 00:27:11,240 Speaker 1: broad deployment, this will give more and faster access to 453 00:27:11,359 --> 00:27:16,320 Speaker 1: data which will enable new applications. Today we are collecting 454 00:27:16,440 --> 00:27:21,440 Speaker 1: data for vehicles and this is being used to mitigate concession, 455 00:27:21,480 --> 00:27:24,439 Speaker 1: for instance, to redirect traffic, to close a lane, to 456 00:27:24,560 --> 00:27:27,240 Speaker 1: change the patterns. So imagine if all the cars will 457 00:27:27,280 --> 00:27:30,680 Speaker 1: tell us where they are in real time. Potentially all 458 00:27:30,720 --> 00:27:33,640 Speaker 1: cars are equipped with five G technologies, we can get 459 00:27:34,000 --> 00:27:36,920 Speaker 1: real time data from all the vehicles at the same time, 460 00:27:37,280 --> 00:27:41,040 Speaker 1: and they can be processed efficiently and then made available 461 00:27:41,640 --> 00:27:44,639 Speaker 1: very quickly to the road users. Again, so all the 462 00:27:44,800 --> 00:27:50,480 Speaker 1: cycle between data collection, processing and ultimately bringing it back 463 00:27:50,680 --> 00:27:54,000 Speaker 1: to the road user to a traveler in real time 464 00:27:54,040 --> 00:28:03,600 Speaker 1: will get way more efficient. Available now from my Heart, 465 00:28:03,680 --> 00:28:07,440 Speaker 1: a new series presented by Temobile for Business, The Restless Ones, 466 00:28:08,160 --> 00:28:11,160 Speaker 1: join host Johnson Strickland as he explores the upcoming five 467 00:28:11,240 --> 00:28:14,040 Speaker 1: year revolution and the business leaders who stand right on 468 00:28:14,080 --> 00:28:17,720 Speaker 1: the cutting edge. There are certain decision makers who are restless. 469 00:28:18,280 --> 00:28:20,240 Speaker 1: They know there is a better way to get things done, 470 00:28:20,560 --> 00:28:24,240 Speaker 1: and they're ready, curious and excited for the next technological 471 00:28:24,280 --> 00:28:28,360 Speaker 1: innovation to unlock their vision of the future. These Restless 472 00:28:28,359 --> 00:28:32,879 Speaker 1: Ones are in pursuit of bigger, better, smarter, stronger. They 473 00:28:32,920 --> 00:28:37,680 Speaker 1: seek new partners, new strategies, new processes. They pursue innovative 474 00:28:37,680 --> 00:28:42,560 Speaker 1: platforms and solutions to propel their teams, businesses, and industries forward. 475 00:28:43,200 --> 00:28:45,840 Speaker 1: In each episode, we'll learn more from the Restless Ones 476 00:28:45,880 --> 00:28:48,560 Speaker 1: themselves and dive deep into how they think of five 477 00:28:48,640 --> 00:28:52,400 Speaker 1: year revolution could propel their business forward. The Restless Ones 478 00:28:52,480 --> 00:28:54,840 Speaker 1: is now available on the I Heart Radio app or 479 00:28:54,840 --> 00:29:02,840 Speaker 1: wherever you listen to podcasts. Carrots. Self driving cars capture 480 00:29:02,920 --> 00:29:05,520 Speaker 1: so much attention, and I think we intuitively think of 481 00:29:05,560 --> 00:29:08,560 Speaker 1: them as being the next iteration of the private vehicle. 482 00:29:09,280 --> 00:29:11,760 Speaker 1: But I love what Marcus says, A traffic jam of 483 00:29:11,800 --> 00:29:14,800 Speaker 1: autonomous vehicles is still a traffic jam, And if we 484 00:29:14,840 --> 00:29:17,720 Speaker 1: think a bit more broadly, perhaps autonomy could mean we 485 00:29:17,720 --> 00:29:20,680 Speaker 1: actually need fewer vehicles on the road. Yeah. I definitely 486 00:29:20,680 --> 00:29:23,760 Speaker 1: think we're moving towards a world where we don't each 487 00:29:23,880 --> 00:29:27,960 Speaker 1: need to individually own a car. And it would kind 488 00:29:27,960 --> 00:29:31,280 Speaker 1: of be amazing if you, for example, lived a few 489 00:29:31,280 --> 00:29:34,520 Speaker 1: miles from the closest train and an autonomous vehicle could 490 00:29:34,560 --> 00:29:36,800 Speaker 1: pick you up and deliver you to that mass transit 491 00:29:36,880 --> 00:29:40,440 Speaker 1: station and if that automous vehicle could be communicating with 492 00:29:40,480 --> 00:29:43,479 Speaker 1: the wider traffic system and the city to say, monitor 493 00:29:43,480 --> 00:29:47,360 Speaker 1: where potholes are. And also if that car could be 494 00:29:47,440 --> 00:29:49,840 Speaker 1: connected to mass transit and know if the train was 495 00:29:49,880 --> 00:29:54,360 Speaker 1: on time or running lead this time tomorrow, perhaps autonomous 496 00:29:54,360 --> 00:29:56,360 Speaker 1: buses could pick people up and take them to where 497 00:29:56,360 --> 00:29:58,640 Speaker 1: they need to go because they can adapt in real 498 00:29:58,720 --> 00:30:02,640 Speaker 1: time to people's needs and have flexible routes. Like Marcus said, 499 00:30:02,960 --> 00:30:06,440 Speaker 1: intelligent traffic systems can give people more freedom at the 500 00:30:06,480 --> 00:30:09,560 Speaker 1: same time as being more cost effective, cost effective for 501 00:30:09,600 --> 00:30:13,280 Speaker 1: people and communities. To me, it's really clear that in 502 00:30:13,360 --> 00:30:15,760 Speaker 1: order for this to work, we need to have a 503 00:30:15,840 --> 00:30:19,640 Speaker 1: really strong and fast network that can sustain this massive 504 00:30:19,720 --> 00:30:23,200 Speaker 1: landscape of devices, and that's exactly where five G could 505 00:30:23,240 --> 00:30:29,280 Speaker 1: play a huge role. On the next episode of This 506 00:30:29,320 --> 00:30:32,760 Speaker 1: Time Tomorrow, we'll look at how advancements in technology and 507 00:30:32,760 --> 00:30:37,080 Speaker 1: wires connectivity are changing the manufacturing industry from work of 508 00:30:37,160 --> 00:30:41,320 Speaker 1: safety to the use of cutting edge robotics. I'm also 509 00:30:41,320 --> 00:30:49,440 Speaker 1: aloan see you next time, no matter what you're after. 510 00:30:49,800 --> 00:30:52,960 Speaker 1: T Mobile for Business is here with a network born 511 00:30:53,040 --> 00:30:55,280 Speaker 1: mobile and built from the ground up for the next 512 00:30:55,280 --> 00:30:59,680 Speaker 1: wave of innovation from mobile broadband to IoT to workforce, 513 00:30:59,720 --> 00:31:02,959 Speaker 1: mobile city, and everything in between. T Mobile for Business 514 00:31:03,080 --> 00:31:06,120 Speaker 1: is committed to helping you move your business forward with 515 00:31:06,200 --> 00:31:09,560 Speaker 1: the products and services you need, as well as the dedicated, 516 00:31:09,600 --> 00:31:13,080 Speaker 1: award winning customer service you'd expect from America's most loved 517 00:31:13,080 --> 00:31:17,200 Speaker 1: wireless company. Business is changing. Learn more at t Mobile 518 00:31:17,200 --> 00:31:18,760 Speaker 1: for Business dot com.