1 00:00:15,356 --> 00:00:15,796 Speaker 1: Pushkin. 2 00:00:22,556 --> 00:00:28,436 Speaker 2: This episode is a paid partnership with T Mobile for Business. 3 00:00:31,076 --> 00:00:31,476 Speaker 3: One of the. 4 00:00:31,396 --> 00:00:34,596 Speaker 2: Reasons I've enjoyed the revisionist history partnership with T Mobile 5 00:00:34,636 --> 00:00:37,036 Speaker 2: for Business is that every time I sit down for 6 00:00:37,156 --> 00:00:40,636 Speaker 2: one of our periodic conversations, I learned something I would 7 00:00:40,676 --> 00:00:44,956 Speaker 2: otherwise have not even thought about. The conversation you're about 8 00:00:44,956 --> 00:00:48,316 Speaker 2: to hear falls into that category. In fact, as I 9 00:00:48,356 --> 00:00:50,276 Speaker 2: introduce it to you, it sounds like the start of 10 00:00:50,276 --> 00:00:53,396 Speaker 2: a three guys walk into a bar joke. It was 11 00:00:53,436 --> 00:00:57,796 Speaker 2: a top executive from CNN, Guy Griggs, Steve Douglas from 12 00:00:57,796 --> 00:01:01,356 Speaker 2: Siemens Energy, the person who runs the maintenance operations for 13 00:01:01,436 --> 00:01:04,076 Speaker 2: one of the biggest power companies in the United States, 14 00:01:04,836 --> 00:01:09,076 Speaker 2: and Mokattaba, the chief marketing officer for T Mobile for Business. 15 00:01:10,116 --> 00:01:12,156 Speaker 2: We sat down together in New York City not long 16 00:01:12,156 --> 00:01:17,236 Speaker 2: ago and we talked about something called slicing, a technology 17 00:01:17,236 --> 00:01:20,956 Speaker 2: T Mobile uses to help ensure that when someone absolutely 18 00:01:21,316 --> 00:01:24,316 Speaker 2: needs a strong network connection, they can get a strong 19 00:01:24,396 --> 00:01:29,756 Speaker 2: network connection five G Network slicing strengthens trust and connections 20 00:01:30,036 --> 00:01:34,116 Speaker 2: across worldwide industries. Think about this next time you see 21 00:01:34,116 --> 00:01:38,356 Speaker 2: a CNN correspondent reporting from some far flung remote location. 22 00:01:38,916 --> 00:01:41,716 Speaker 2: Or there's a massive blackout and you're waiting for someone 23 00:01:41,716 --> 00:01:44,156 Speaker 2: to get the power back on. What you see in 24 00:01:44,156 --> 00:01:47,836 Speaker 2: both those cases is a professional doing their job. What 25 00:01:48,036 --> 00:01:51,996 Speaker 2: you don't see is a technology network behind the scenes 26 00:01:52,276 --> 00:01:54,436 Speaker 2: that makes it possible for them to do their job. 27 00:01:55,356 --> 00:01:59,036 Speaker 2: This conversation is about telling the story of that invisible 28 00:01:59,396 --> 00:02:05,036 Speaker 2: technological infrastructure. I found it fascinating, and I'm sure you 29 00:02:05,116 --> 00:02:05,596 Speaker 2: will too. 30 00:02:07,876 --> 00:02:10,796 Speaker 3: There's two ideas I want to explore today. The first 31 00:02:10,796 --> 00:02:13,156 Speaker 3: one is is something that I've been struck by and 32 00:02:13,156 --> 00:02:14,956 Speaker 3: I'm sure all of you guys have been struck by, 33 00:02:14,996 --> 00:02:21,876 Speaker 3: which is that the benefits to technological advancement are largely hidden. 34 00:02:22,436 --> 00:02:25,596 Speaker 3: In other words, only insiders kind of know what the 35 00:02:25,636 --> 00:02:28,636 Speaker 3: implications of them are from the outside. You're just you 36 00:02:28,676 --> 00:02:30,876 Speaker 3: can't observe from the outside and know how it changes 37 00:02:30,916 --> 00:02:33,116 Speaker 3: the specific feel unless you're in the field. So one 38 00:02:33,116 --> 00:02:34,596 Speaker 3: of things I want to do today is have people 39 00:02:34,676 --> 00:02:37,876 Speaker 3: in the field tell me about all the unexpected ways 40 00:02:37,876 --> 00:02:40,956 Speaker 3: in which technology changes are business. And the larger theme, though, 41 00:02:41,036 --> 00:02:44,076 Speaker 3: is that we're going to be talking a lot today 42 00:02:44,076 --> 00:02:48,116 Speaker 3: about infrastructure, and this idea that infrastructure is more than 43 00:02:48,156 --> 00:02:53,436 Speaker 3: simply a kind of passive structural participant in innovation. But 44 00:02:53,476 --> 00:02:56,476 Speaker 3: I want to start with with mo we're talking. We're 45 00:02:56,516 --> 00:03:00,436 Speaker 3: here today, but this we're talking about something special that 46 00:03:00,516 --> 00:03:03,756 Speaker 3: T Mobile business is doing from a technological standpoint. I 47 00:03:03,756 --> 00:03:06,236 Speaker 3: want you to describe what it is, so to set 48 00:03:06,316 --> 00:03:08,276 Speaker 3: up our conversation and to give you and give us 49 00:03:08,276 --> 00:03:11,156 Speaker 3: an example from from your own world about how that's 50 00:03:11,316 --> 00:03:12,076 Speaker 3: made a difference. 51 00:03:12,476 --> 00:03:14,756 Speaker 4: Thank you, first and foremost, great to be here with 52 00:03:14,836 --> 00:03:17,356 Speaker 4: you today, and it's great to see you again. So 53 00:03:17,796 --> 00:03:20,556 Speaker 4: what Teamable and Tea Mobile for Business have been doing 54 00:03:20,956 --> 00:03:26,156 Speaker 4: is innovating our network and creating the most advanced five 55 00:03:26,196 --> 00:03:30,636 Speaker 4: G network frankly in America and likely on the planet. 56 00:03:31,676 --> 00:03:36,076 Speaker 4: We call it five G Advanced Capabilities. And then with 57 00:03:36,196 --> 00:03:39,916 Speaker 4: our business customers, we're really bringing this capability to life. 58 00:03:39,916 --> 00:03:42,516 Speaker 4: That's called slicing. And to your point, this is a 59 00:03:42,596 --> 00:03:45,516 Speaker 4: term that not everyone knows. They don't know what it does, 60 00:03:45,916 --> 00:03:48,636 Speaker 4: and slicing is just a way of thinking about, Hey, 61 00:03:48,676 --> 00:03:51,356 Speaker 4: if you have a network, can you take a slice 62 00:03:51,356 --> 00:03:56,596 Speaker 4: of that network and create specific performance characteristics via that 63 00:03:56,716 --> 00:03:59,996 Speaker 4: slice to ensure that businesses are able to drive the 64 00:04:00,036 --> 00:04:03,796 Speaker 4: outcomes that are important to them. As an example, at 65 00:04:04,276 --> 00:04:06,956 Speaker 4: the Formula one in Las Vegas that happened a few 66 00:04:06,996 --> 00:04:10,996 Speaker 4: weeks ago in November. That portion of that network, that 67 00:04:11,116 --> 00:04:14,316 Speaker 4: slice can be used for things like ticketless entry to 68 00:04:14,396 --> 00:04:17,236 Speaker 4: speed up three hundred thousand people getting in so that 69 00:04:17,276 --> 00:04:19,756 Speaker 4: they can enjoy the sport in the action. It can 70 00:04:19,796 --> 00:04:22,756 Speaker 4: be used for back office operations, all the people working 71 00:04:22,796 --> 00:04:26,276 Speaker 4: behind the scenes. They may be using push to talk devices, 72 00:04:26,516 --> 00:04:28,516 Speaker 4: they may be using point of sale to make a sale. 73 00:04:28,876 --> 00:04:32,396 Speaker 4: How do you ensure that that transaction, that traffic, that 74 00:04:32,516 --> 00:04:36,236 Speaker 4: push to talk click happens when you have hundreds of 75 00:04:36,436 --> 00:04:40,916 Speaker 4: thousands of people all in a small, limited space. And 76 00:04:40,956 --> 00:04:44,356 Speaker 4: the answer to that is you dedicate a slice or 77 00:04:44,356 --> 00:04:47,076 Speaker 4: a portion of the network to that mission. And so 78 00:04:47,156 --> 00:04:50,796 Speaker 4: slicing can be used for so many different things. As 79 00:04:50,796 --> 00:04:54,236 Speaker 4: you mentioned, we're here with our friends from CNN from 80 00:04:54,276 --> 00:04:57,236 Speaker 4: Siemens Energy. The ways they can be used, frankly are 81 00:04:57,276 --> 00:05:01,676 Speaker 4: limitless and are really really built to think through. How 82 00:05:01,756 --> 00:05:05,676 Speaker 4: can mobile understand the pain points that our customers have, 83 00:05:06,076 --> 00:05:09,796 Speaker 4: smash those pain points and help you deliver various outcomes. 84 00:05:09,796 --> 00:05:10,436 Speaker 4: That's slicing. 85 00:05:11,196 --> 00:05:14,516 Speaker 3: A couple questions about slicing before we get into a 86 00:05:14,556 --> 00:05:18,436 Speaker 3: Seaman's Energy and CNN. First off, I want to dedicate 87 00:05:18,436 --> 00:05:21,796 Speaker 3: a slice, because that's a way of what ensuring the 88 00:05:21,836 --> 00:05:24,876 Speaker 3: reliability of those transactions exactly. 89 00:05:24,956 --> 00:05:27,916 Speaker 4: So what's beautiful about slicing is it gives us the 90 00:05:27,956 --> 00:05:31,276 Speaker 4: ability to use multiple knobs and levers. One can be 91 00:05:31,716 --> 00:05:35,516 Speaker 4: dedicating a piece. One could be increasing the reliability or 92 00:05:35,556 --> 00:05:38,636 Speaker 4: the performance of the network to adapt to the needs 93 00:05:38,676 --> 00:05:41,676 Speaker 4: in real time. Others can be and we're getting a 94 00:05:41,716 --> 00:05:45,356 Speaker 4: little bit more technical here, but latency. How quickly is 95 00:05:45,396 --> 00:05:48,476 Speaker 4: that transaction happening? How quickly are you talking to the 96 00:05:48,516 --> 00:05:52,716 Speaker 4: network and that signal coming back? Some transactions require super 97 00:05:52,756 --> 00:05:55,396 Speaker 4: low latency, and that's another knob we in turn. But 98 00:05:55,516 --> 00:05:58,116 Speaker 4: at the heart of it, you can think about reliability 99 00:05:58,196 --> 00:06:01,316 Speaker 4: and ensuring that the network adapts in real time to 100 00:06:01,356 --> 00:06:02,396 Speaker 4: the needs of the business. 101 00:06:02,676 --> 00:06:06,036 Speaker 3: When did you guys start develop slicing? This is how 102 00:06:06,076 --> 00:06:07,476 Speaker 3: new great great questions. 103 00:06:07,556 --> 00:06:10,596 Speaker 4: So f Mobile was the first company in America to 104 00:06:10,676 --> 00:06:14,956 Speaker 4: deploy what's called five G standalone, and five G standalone 105 00:06:15,636 --> 00:06:19,676 Speaker 4: enabled this set of capabilities. The first slice at scale 106 00:06:19,716 --> 00:06:22,836 Speaker 4: that we deployed was with F one in Las Vegas 107 00:06:22,996 --> 00:06:27,236 Speaker 4: three years ago, and ever since then, there's been writer 108 00:06:27,436 --> 00:06:31,196 Speaker 4: cop a Major League Baseball All Star Week as an example, 109 00:06:31,556 --> 00:06:34,836 Speaker 4: all of these things have used slicing capability to ensure 110 00:06:35,116 --> 00:06:36,436 Speaker 4: that the business can do what they want. 111 00:06:36,556 --> 00:06:39,436 Speaker 3: And is it an evolving technology otherwise it's the slicing 112 00:06:39,436 --> 00:06:41,196 Speaker 3: of today better than the slicing of two years ago. 113 00:06:41,356 --> 00:06:45,916 Speaker 4: Yeah, wonderful question. Just in twenty twenty five, we announced 114 00:06:45,916 --> 00:06:50,476 Speaker 4: two very major, first of their kind slices in the US. 115 00:06:50,876 --> 00:06:53,116 Speaker 4: One that we launched in February of twenty twenty five 116 00:06:53,236 --> 00:06:56,156 Speaker 4: is called T Priority and really what that does is 117 00:06:56,396 --> 00:06:59,996 Speaker 4: provides a slice for first responders and those folks that 118 00:07:00,076 --> 00:07:02,956 Speaker 4: support our first responder communities because at the end of 119 00:07:02,996 --> 00:07:06,756 Speaker 4: the day, what matters, you know, police and fire and EMS, 120 00:07:06,756 --> 00:07:11,236 Speaker 4: emergency medical is in during that the network is working 121 00:07:11,276 --> 00:07:14,236 Speaker 4: for them at those times when an emergency is happening, 122 00:07:14,356 --> 00:07:16,876 Speaker 4: when lots of first responders may be showing up at 123 00:07:16,876 --> 00:07:19,436 Speaker 4: the same time to a given scene, So giving them 124 00:07:19,476 --> 00:07:22,996 Speaker 4: the capacity that they need in real time and expanding 125 00:07:23,036 --> 00:07:25,716 Speaker 4: it to support the number of first responders that are 126 00:07:25,756 --> 00:07:28,756 Speaker 4: showing up. And then the second major slice that we 127 00:07:28,836 --> 00:07:32,396 Speaker 4: launched this year is one called Supermobile and it's actually 128 00:07:32,436 --> 00:07:35,876 Speaker 4: the one that both CNN and Semen's Energy are using. 129 00:07:35,916 --> 00:07:37,476 Speaker 4: And we're going to get into that, I think a 130 00:07:37,516 --> 00:07:38,276 Speaker 4: bit more yeah. 131 00:07:38,356 --> 00:07:40,876 Speaker 3: Yeah, guy, tell us a little bit about what you 132 00:07:40,996 --> 00:07:45,236 Speaker 3: do at CNN and how you came to be interested 133 00:07:45,236 --> 00:07:48,756 Speaker 3: in working with T Mobile and using this superslice. 134 00:07:48,876 --> 00:07:49,116 Speaker 4: Yeah. 135 00:07:49,156 --> 00:07:49,436 Speaker 3: Sure. 136 00:07:49,516 --> 00:07:55,236 Speaker 5: So I oversee all of our partnerships, advertising relationships across 137 00:07:55,276 --> 00:07:59,196 Speaker 5: the country. I'm all about coming up with smart solutions 138 00:07:59,236 --> 00:08:04,196 Speaker 5: that drive better business outcomes for partners and our advertisers. 139 00:08:04,516 --> 00:08:07,476 Speaker 5: We're going through this pivotal moment of transformation, and I'm 140 00:08:07,476 --> 00:08:10,396 Speaker 5: glad to be overseeing the ad business as we embark 141 00:08:10,476 --> 00:08:10,916 Speaker 5: upon this. 142 00:08:11,796 --> 00:08:15,676 Speaker 3: How has technology altered the way you do your work? 143 00:08:15,676 --> 00:08:15,836 Speaker 4: Oh? 144 00:08:15,876 --> 00:08:16,556 Speaker 1: Yeah, I mean. 145 00:08:18,036 --> 00:08:19,156 Speaker 3: Just taking a step back. 146 00:08:19,236 --> 00:08:23,036 Speaker 5: The media landscape has changed drastically over the last let's 147 00:08:23,036 --> 00:08:27,156 Speaker 5: say thirteen years or so. You know, back in twenty twelve, 148 00:08:27,236 --> 00:08:30,556 Speaker 5: it was all about cable and broadcast TV. It was 149 00:08:30,556 --> 00:08:34,116 Speaker 5: all about satellite trucks and fixed locations, and for me, 150 00:08:34,196 --> 00:08:36,076 Speaker 5: it was all about trying to get as much money 151 00:08:36,236 --> 00:08:40,596 Speaker 5: on to monetize those mediums as possible. Now, you know, 152 00:08:41,356 --> 00:08:45,716 Speaker 5: whether it's podcasts or newsletters, or streaming or linear and 153 00:08:45,756 --> 00:08:49,236 Speaker 5: cable or events like, there are a million ways of 154 00:08:49,276 --> 00:08:52,836 Speaker 5: reaching our audience, and the landscape has just gotten so 155 00:08:52,916 --> 00:08:55,956 Speaker 5: much more splintered and fragmented. So now what we have 156 00:08:55,996 --> 00:08:58,556 Speaker 5: to do is really meet audiences where they're at, and 157 00:08:58,636 --> 00:09:01,796 Speaker 5: for me, I have to monetize all of those formats 158 00:09:01,796 --> 00:09:04,956 Speaker 5: and platforms and mechanisms in a way that actually drives 159 00:09:04,956 --> 00:09:05,436 Speaker 5: the business. 160 00:09:05,476 --> 00:09:06,196 Speaker 3: So that's i'd. 161 00:09:06,076 --> 00:09:07,516 Speaker 1: Say the biggest change. 162 00:09:08,356 --> 00:09:13,756 Speaker 5: And with that also, we're becoming a digital first, direct 163 00:09:13,756 --> 00:09:18,636 Speaker 5: to consumer brands, and so we're creating these standalone products 164 00:09:19,516 --> 00:09:22,956 Speaker 5: that actually reach audiences across every screen, device and platform 165 00:09:22,996 --> 00:09:25,876 Speaker 5: and reaches them where they're at. And that gets really 166 00:09:25,876 --> 00:09:28,636 Speaker 5: interesting when you're dealing with marketers like T Mobile and 167 00:09:29,116 --> 00:09:31,516 Speaker 5: delivering their messages in new and innovative ways. 168 00:09:32,036 --> 00:09:35,996 Speaker 3: I'm curious about the first conversations you had with T Mobile. 169 00:09:36,196 --> 00:09:39,316 Speaker 3: What was the problem that you defined that you want 170 00:09:39,436 --> 00:09:41,716 Speaker 3: to solve? Yeah, and how did you how did you 171 00:09:41,796 --> 00:09:47,116 Speaker 3: see slicing as as fitting into this solution that you imagine. 172 00:09:47,276 --> 00:09:50,716 Speaker 5: So, as we embark upon this digital transformation and to 173 00:09:50,876 --> 00:09:55,076 Speaker 5: basically transform CNN into a brand of the future, we're 174 00:09:55,076 --> 00:09:58,196 Speaker 5: trying to define the future of news and so with that, 175 00:09:58,756 --> 00:10:02,396 Speaker 5: our reporters really need to stay connected, you know, reporting 176 00:10:02,476 --> 00:10:05,916 Speaker 5: live from a natural disaster or you know, in a 177 00:10:05,996 --> 00:10:08,996 Speaker 5: moment of celebration like New Year's Eve or Super Bowl 178 00:10:09,236 --> 00:10:11,836 Speaker 5: or July fourth or Thanksgiving or whatever that might be, 179 00:10:12,436 --> 00:10:14,956 Speaker 5: or if they're in far flung places, you know, where 180 00:10:14,996 --> 00:10:17,876 Speaker 5: there's not a good signal. We need to ensure that 181 00:10:17,916 --> 00:10:22,196 Speaker 5: our audience gets delivered the information that matters most to 182 00:10:22,236 --> 00:10:25,916 Speaker 5: them and does not skip a beat. And so as 183 00:10:25,956 --> 00:10:29,396 Speaker 5: we're embarking upon this digital transformation, it only made sense 184 00:10:29,716 --> 00:10:33,276 Speaker 5: to outfit our reporters with the bestnology in the palm 185 00:10:33,316 --> 00:10:36,756 Speaker 5: of their hands to ensure that they're capturing that information 186 00:10:37,036 --> 00:10:39,916 Speaker 5: as it happens in real time. You know, with breaking news, 187 00:10:39,956 --> 00:10:43,516 Speaker 5: you're either leading or you're following. And you know, for 188 00:10:43,676 --> 00:10:46,956 Speaker 5: us to have a competitive edge in this digital transformation 189 00:10:47,076 --> 00:10:49,396 Speaker 5: that we're going upon, it was critical for us to 190 00:10:49,436 --> 00:10:52,476 Speaker 5: have a trusted partner that was able to capture news 191 00:10:52,756 --> 00:10:55,676 Speaker 5: reliably so that we don't break trust with our audiences 192 00:10:57,036 --> 00:10:58,236 Speaker 5: and deliver what they need. 193 00:10:58,996 --> 00:11:01,516 Speaker 3: Well, I want you to jump in here because one 194 00:11:01,556 --> 00:11:04,436 Speaker 3: of the interesting things here is that as I when 195 00:11:04,436 --> 00:11:09,076 Speaker 3: you're speaking, guy, I'm beIN a journalist my whole life, 196 00:11:09,276 --> 00:11:11,876 Speaker 3: aware of all the limitations of the various technologies I've 197 00:11:11,956 --> 00:11:14,316 Speaker 3: used over the years. But the thing is I have 198 00:11:14,436 --> 00:11:18,756 Speaker 3: no insight into what is possible technologically right, I just 199 00:11:18,796 --> 00:11:20,916 Speaker 3: know what I've been given. So I'm just curious how 200 00:11:20,916 --> 00:11:24,916 Speaker 3: does the process of educating a company like CNN into 201 00:11:24,956 --> 00:11:29,156 Speaker 3: what's technologically possible work. Did someone at T Mobile like 202 00:11:29,956 --> 00:11:31,796 Speaker 3: call guy up and say, Hey, do you guys realize 203 00:11:31,836 --> 00:11:33,356 Speaker 3: there's this thing out there that you may not have 204 00:11:33,396 --> 00:11:36,836 Speaker 3: heard of? Like, I'm curious about how knowledge gets diffused 205 00:11:36,916 --> 00:11:38,276 Speaker 3: in these marketplaces. 206 00:11:38,716 --> 00:11:41,556 Speaker 4: What I loved about working with them is like any 207 00:11:42,916 --> 00:11:46,356 Speaker 4: large enterprise, that's a little bit of prove it to 208 00:11:46,356 --> 00:11:49,236 Speaker 4: me and show it to me. And so when the 209 00:11:49,276 --> 00:11:53,796 Speaker 4: supermobile hadn't yet even launched when we started talking to CNN, 210 00:11:54,196 --> 00:11:58,636 Speaker 4: but we knew that frontline journalism was such an incredible 211 00:11:58,756 --> 00:12:01,596 Speaker 4: use case for all the reasons. The guy articulated that, hey, 212 00:12:01,636 --> 00:12:05,036 Speaker 4: when breaking us is happening, the camera that you have 213 00:12:05,156 --> 00:12:06,916 Speaker 4: in the video camera that you have in your pocket 214 00:12:06,916 --> 00:12:10,636 Speaker 4: on your phone may be that first way of that 215 00:12:10,796 --> 00:12:13,476 Speaker 4: breaking us making it to the audience. And so we 216 00:12:13,516 --> 00:12:15,636 Speaker 4: sat down and we were having a conversation about how 217 00:12:15,716 --> 00:12:19,356 Speaker 4: slicing would enable, even in moments of congestion and moments 218 00:12:19,396 --> 00:12:23,556 Speaker 4: of emergency, would give them the intelligent adaptive connectivity that 219 00:12:23,596 --> 00:12:26,796 Speaker 4: they need for their frontline to be able to stream 220 00:12:26,836 --> 00:12:29,076 Speaker 4: as well as all of those the big moments like 221 00:12:29,156 --> 00:12:31,556 Speaker 4: fourth of July, New Year's Eve, et cetera. And so 222 00:12:31,636 --> 00:12:34,716 Speaker 4: what happened was they said, okay, prove it. So we 223 00:12:34,876 --> 00:12:40,596 Speaker 4: gave them an X number of test devices. They embedded 224 00:12:40,636 --> 00:12:43,956 Speaker 4: them with video crews and news crews around the country, 225 00:12:44,156 --> 00:12:46,716 Speaker 4: and then they put it to the stress test. They 226 00:12:46,756 --> 00:12:48,916 Speaker 4: went and ran side by side comparison. 227 00:12:49,236 --> 00:12:52,396 Speaker 1: Really like, yeah, we did a test before we embarked 228 00:12:52,436 --> 00:12:52,796 Speaker 1: upon this. 229 00:12:52,916 --> 00:12:54,556 Speaker 3: We needed to make sure that the text tell me 230 00:12:54,556 --> 00:12:56,356 Speaker 3: a little about the tests actually worked. 231 00:12:56,636 --> 00:13:00,356 Speaker 5: I mean, we had engineers and field journalists using the 232 00:13:00,396 --> 00:13:05,036 Speaker 5: technology and just you know, seeing whether the signal was 233 00:13:05,076 --> 00:13:07,676 Speaker 5: stronger than some of the other partners that we work 234 00:13:07,716 --> 00:13:12,196 Speaker 5: with telecommunications company, and it proves shall remain nameless, well yeah, 235 00:13:12,516 --> 00:13:14,916 Speaker 5: name their names, but it proved to work, and it 236 00:13:15,036 --> 00:13:18,036 Speaker 5: proved to be steady, and it gave our tech and 237 00:13:18,116 --> 00:13:21,516 Speaker 5: product teams the confidence and our newsroom to actually say, 238 00:13:21,836 --> 00:13:24,796 Speaker 5: let's embark upon this. Let's outfit all of our field 239 00:13:24,836 --> 00:13:27,956 Speaker 5: journalists with this technology because it's going to be critical 240 00:13:28,156 --> 00:13:29,636 Speaker 5: in our news gathering and news report. 241 00:13:29,836 --> 00:13:32,756 Speaker 3: So it's like you're at some event and there's there's 242 00:13:33,356 --> 00:13:36,476 Speaker 3: some I can I can I mentionine there are there 243 00:13:36,476 --> 00:13:39,196 Speaker 3: are moments when there's one hundred reporters in a scene 244 00:13:39,196 --> 00:13:42,796 Speaker 3: and the networks might be incredibly congested. 245 00:13:42,836 --> 00:13:47,236 Speaker 4: In Yeah, it was both about congestion and areas with 246 00:13:47,316 --> 00:13:49,236 Speaker 4: lots of demand, like New York City was one of 247 00:13:49,276 --> 00:13:50,756 Speaker 4: the areas where the tests were happening. 248 00:13:51,236 --> 00:13:53,876 Speaker 5: It's important not only from a journalism standpoint, but it 249 00:13:53,956 --> 00:13:57,316 Speaker 5: was important for a T Mobile and CNN relationship standpoint. 250 00:13:57,636 --> 00:14:01,276 Speaker 5: It allowed us to deepen our relationship because it's a 251 00:14:01,276 --> 00:14:03,756 Speaker 5: win win win, and it kind of sets some blueprint 252 00:14:03,796 --> 00:14:05,796 Speaker 5: for how we want to be working with T mobile 253 00:14:05,876 --> 00:14:08,596 Speaker 5: more in the future. You know, the satellite to sell 254 00:14:08,716 --> 00:14:11,396 Speaker 5: secure that our journalists have while they're out in the 255 00:14:11,436 --> 00:14:13,956 Speaker 5: field enables them to do the job that they need 256 00:14:13,956 --> 00:14:17,596 Speaker 5: to do better than anybody else. Our audience wins because 257 00:14:17,596 --> 00:14:19,676 Speaker 5: they don't skip a beat, and then T Mobile gets 258 00:14:19,676 --> 00:14:22,636 Speaker 5: the opportunity to show up in a very meaningful and 259 00:14:22,756 --> 00:14:26,476 Speaker 5: authentic way, in a trusted way where the audience knows that, 260 00:14:26,876 --> 00:14:29,716 Speaker 5: you know, what they're seeing right now is powered by 261 00:14:29,836 --> 00:14:31,876 Speaker 5: this this incredible technology. 262 00:14:31,956 --> 00:14:33,596 Speaker 1: And so it's. 263 00:14:33,316 --> 00:14:36,836 Speaker 5: Something that you know, we think is never been done before, 264 00:14:37,116 --> 00:14:40,796 Speaker 5: watershed and really demonstrative of where we want to go 265 00:14:40,836 --> 00:14:42,036 Speaker 5: as a company moving forward. 266 00:14:42,076 --> 00:14:44,316 Speaker 3: I remember when I was starting out as a report 267 00:14:44,316 --> 00:14:47,356 Speaker 3: of the Washington Post, I was given a what it's 268 00:14:47,396 --> 00:14:51,876 Speaker 3: called a trash eighty a radio shack like calling it 269 00:14:51,916 --> 00:14:55,836 Speaker 3: a computer is too way, too flattering, and it had 270 00:14:56,276 --> 00:14:59,196 Speaker 3: two cups. Do you have the cups? You ran to 271 00:14:59,276 --> 00:15:02,076 Speaker 3: a pay phone and you put the cups on each 272 00:15:02,276 --> 00:15:04,196 Speaker 3: of the two things of it, and then you hones 273 00:15:04,796 --> 00:15:07,356 Speaker 3: you use tones to try and if you were covering 274 00:15:07,356 --> 00:15:10,316 Speaker 3: a big event, to be like three pay like half 275 00:15:10,316 --> 00:15:11,956 Speaker 3: a mile away, and then there would be a line 276 00:15:11,996 --> 00:15:14,356 Speaker 3: of reporters waiting to use that. And if you're trying 277 00:15:14,356 --> 00:15:17,116 Speaker 3: to beat the competition, you just would leave the pay phone. Yeah, 278 00:15:17,236 --> 00:15:19,396 Speaker 3: you just stick there, like make the New York Times wait. 279 00:15:19,436 --> 00:15:20,436 Speaker 3: I've worked for the Washington Post. 280 00:15:22,516 --> 00:15:25,596 Speaker 5: This technology allows like our reporters to literally have a 281 00:15:25,636 --> 00:15:28,156 Speaker 5: satellite truck inter hands, so they're not dealing with cups 282 00:15:28,156 --> 00:15:31,756 Speaker 5: and strings and like waiting onlines for other reporters to finish. 283 00:15:31,796 --> 00:15:33,676 Speaker 4: I'll give you a real example that was playing out 284 00:15:33,716 --> 00:15:40,156 Speaker 4: at F one, which is the photographers from any news outlets. 285 00:15:40,556 --> 00:15:43,676 Speaker 4: Their workflow was they would take pictures and then they 286 00:15:43,676 --> 00:15:46,236 Speaker 4: would hand their SD card, the memory card from inside 287 00:15:46,236 --> 00:15:49,156 Speaker 4: the camera to a runner. The runner would then literally 288 00:15:49,236 --> 00:15:52,516 Speaker 4: run to somewhere to upload the photos. What we're able 289 00:15:52,556 --> 00:15:56,156 Speaker 4: to do with slicing technology is we've launched a solution 290 00:15:56,716 --> 00:16:00,476 Speaker 4: that plugs directly into the camera and uses the slice 291 00:16:00,556 --> 00:16:02,716 Speaker 4: and the five G networks so that in real time, 292 00:16:03,076 --> 00:16:07,436 Speaker 4: every photo that's being taken is moving over file transfer 293 00:16:07,476 --> 00:16:10,396 Speaker 4: protocol to an FTP site. The editors are then able 294 00:16:10,436 --> 00:16:13,156 Speaker 4: to grab it, which means breaking news is able to 295 00:16:13,196 --> 00:16:16,876 Speaker 4: happen even faster, and they're able to beat the competition 296 00:16:16,996 --> 00:16:20,596 Speaker 4: to whatever that iconic next image will be in getting 297 00:16:20,596 --> 00:16:22,676 Speaker 4: it out to the eyes everywhere. 298 00:16:22,996 --> 00:16:26,636 Speaker 3: Yeah, Steve, I'm sorry. I feel we've been we've been 299 00:16:26,676 --> 00:16:30,036 Speaker 3: ignoring you. Before I get into the way Semens Energy 300 00:16:30,036 --> 00:16:33,436 Speaker 3: has worked with T Mobile, I'm curious about your own background. 301 00:16:33,476 --> 00:16:36,156 Speaker 3: I'm assuming you're are you an engineer? You're an engineer. 302 00:16:36,156 --> 00:16:37,676 Speaker 1: I'm an engineer yeap originally? 303 00:16:37,996 --> 00:16:41,076 Speaker 3: Yeah? And what kind of engineer actually? 304 00:16:41,116 --> 00:16:41,836 Speaker 1: Marine engineer? 305 00:16:41,956 --> 00:16:45,396 Speaker 3: Interesting? How would you describe your your current job with 306 00:16:45,796 --> 00:16:46,636 Speaker 3: Semens Energy. 307 00:16:46,956 --> 00:16:48,676 Speaker 1: I've got a great job with Semens Energy. 308 00:16:48,716 --> 00:16:54,236 Speaker 6: So my organization, my team's we service the power plants 309 00:16:54,876 --> 00:16:59,276 Speaker 6: across the United States. Power plants no different than your car. 310 00:16:59,756 --> 00:17:02,316 Speaker 6: Every so often they have to do periodic maintenance. We 311 00:17:02,396 --> 00:17:05,916 Speaker 6: show up with a crew of people, take the turbines, 312 00:17:05,996 --> 00:17:09,956 Speaker 6: the generators apart, stem to stern and spect them, repair them, 313 00:17:10,316 --> 00:17:13,476 Speaker 6: modernize them, upgrade them, and then return them too service 314 00:17:13,796 --> 00:17:20,636 Speaker 6: to help power America. So last year, Siemens energy equipment 315 00:17:21,356 --> 00:17:23,716 Speaker 6: generated about twenty five percent of electricity used in the 316 00:17:23,836 --> 00:17:24,556 Speaker 6: United States. 317 00:17:25,076 --> 00:17:26,836 Speaker 1: There's over twenty two. 318 00:17:26,756 --> 00:17:31,676 Speaker 6: Hundred units spread out across eleven hundred sites in forty 319 00:17:31,996 --> 00:17:32,676 Speaker 6: eight states. 320 00:17:32,756 --> 00:17:34,436 Speaker 3: Twenty two hundred units. 321 00:17:34,436 --> 00:17:34,836 Speaker 1: Correct. 322 00:17:35,076 --> 00:17:36,316 Speaker 3: How many people work for you. 323 00:17:37,076 --> 00:17:37,876 Speaker 1: In my organization? 324 00:17:38,036 --> 00:17:41,476 Speaker 6: Yeah, I have about fifteen hundred, and then I bring 325 00:17:41,516 --> 00:17:43,956 Speaker 6: out about another three thousand contractors every year. 326 00:17:44,276 --> 00:17:44,836 Speaker 4: Oh wow. 327 00:17:45,356 --> 00:17:48,196 Speaker 3: Basically, if a generator goes down somewhere, or a power 328 00:17:48,196 --> 00:17:50,476 Speaker 3: plant goes down somewhere, you're the person who gets called. 329 00:17:50,596 --> 00:17:51,196 Speaker 1: That's correct. 330 00:17:51,716 --> 00:17:54,556 Speaker 3: How did you come to want to work with T 331 00:17:54,676 --> 00:17:57,236 Speaker 3: mobile for business? Tell me how that came about. What 332 00:17:57,316 --> 00:17:58,916 Speaker 3: was it they offered you that you solded. 333 00:18:00,396 --> 00:18:02,956 Speaker 6: We have teams on site, so when we go to 334 00:18:03,036 --> 00:18:06,796 Speaker 6: a power plant, a small event for us might be 335 00:18:07,156 --> 00:18:10,676 Speaker 6: thirty people on a site for thirty's you know. A 336 00:18:10,716 --> 00:18:13,516 Speaker 6: big event for us could be three hundred people on 337 00:18:13,596 --> 00:18:16,716 Speaker 6: site for six months, and it's all about that that. 338 00:18:16,756 --> 00:18:18,596 Speaker 3: Way for six you might you might be as on 339 00:18:18,676 --> 00:18:19,916 Speaker 3: a site for as long as six months. 340 00:18:19,996 --> 00:18:22,356 Speaker 1: Oh yeah, absolutely, and over. 341 00:18:22,156 --> 00:18:24,156 Speaker 3: The close that six months or are you what are 342 00:18:24,156 --> 00:18:27,116 Speaker 3: you doing here? They seemed taking it. You're taking the 343 00:18:27,116 --> 00:18:28,876 Speaker 3: whole thing down and going through it. 344 00:18:29,276 --> 00:18:32,756 Speaker 1: Take taking apart, rebuild it. You know, there might have 345 00:18:32,836 --> 00:18:35,476 Speaker 1: been a uh. 346 00:18:34,916 --> 00:18:37,716 Speaker 6: Some sort of damage to the equipment, you know, waiting 347 00:18:37,756 --> 00:18:40,756 Speaker 6: on other parts to show up, you know, you know, 348 00:18:40,836 --> 00:18:43,156 Speaker 6: we we've we've had events that have taken over a 349 00:18:43,236 --> 00:18:47,076 Speaker 6: year on different sites. But for our people on site, 350 00:18:48,156 --> 00:18:50,156 Speaker 6: you're kind of comparing your trusting history and we used 351 00:18:50,156 --> 00:18:52,156 Speaker 6: to have to show up with boxes and boxes. 352 00:18:51,796 --> 00:18:53,956 Speaker 1: Of drawings and manuals. 353 00:18:54,196 --> 00:18:57,156 Speaker 6: And the connectivity that we get now lets our people 354 00:18:57,276 --> 00:19:02,036 Speaker 6: access our engineers globally, whether they're sitting in Germany, India, 355 00:19:02,636 --> 00:19:05,236 Speaker 6: the US. It allows them to talk to the factories, 356 00:19:05,756 --> 00:19:09,996 Speaker 6: It allows them to access drawings, process procede. But then 357 00:19:10,036 --> 00:19:12,676 Speaker 6: it also does things like let's us run payroll. I mean, 358 00:19:12,716 --> 00:19:16,316 Speaker 6: you know, it enables everything to happen because when we 359 00:19:16,316 --> 00:19:18,676 Speaker 6: show up with these plants, you know, we show up 360 00:19:19,116 --> 00:19:24,196 Speaker 6: office trailers, bathrooms, cranes, tools, parts, you know, none of 361 00:19:24,236 --> 00:19:25,956 Speaker 6: it exists when we show up and none of it's 362 00:19:25,996 --> 00:19:27,556 Speaker 6: there when we leave, and. 363 00:19:27,476 --> 00:19:28,876 Speaker 1: We do that three hundred times a year. 364 00:19:29,156 --> 00:19:33,596 Speaker 3: Yeah. Yeah, So logistically, what you're running is something incredibly complicated. 365 00:19:34,076 --> 00:19:37,196 Speaker 3: So walk me through. You've got this group of you 366 00:19:37,236 --> 00:19:39,356 Speaker 3: say as many as you say, as many as sixty 367 00:19:39,716 --> 00:19:40,516 Speaker 3: or three hundred was. 368 00:19:40,476 --> 00:19:41,876 Speaker 1: St Yeah, potentially out of site. 369 00:19:42,036 --> 00:19:45,916 Speaker 3: Yeah, so you show up and what walk me through? 370 00:19:45,956 --> 00:19:48,716 Speaker 3: What the first couple of steps are and how this 371 00:19:48,796 --> 00:19:50,476 Speaker 3: kind of connectivity would make a difference. 372 00:19:51,276 --> 00:19:54,196 Speaker 6: I mean, we hire union workers, we're partnered with the 373 00:19:54,316 --> 00:19:57,996 Speaker 6: UBC and hire middle rights. So first thing is sign up. 374 00:19:58,116 --> 00:20:01,196 Speaker 6: Then it's go to safety training, go to site orientation training. 375 00:20:01,956 --> 00:20:05,156 Speaker 6: Customer will bring the unit down, lock out, tag out, 376 00:20:05,636 --> 00:20:07,916 Speaker 6: make sure that all the systems are safe to work on. 377 00:20:08,556 --> 00:20:11,116 Speaker 6: Then take the machine apart. As the machines coming apart, 378 00:20:11,196 --> 00:20:14,476 Speaker 6: you're inspecting every piece is in the condition it should be, 379 00:20:14,556 --> 00:20:16,516 Speaker 6: is it worn, is it broken? 380 00:20:16,636 --> 00:20:19,036 Speaker 1: Does it need to be replaced? Are we modernizing it? 381 00:20:19,156 --> 00:20:21,596 Speaker 3: How these machines are? How big it is a sensing. 382 00:20:22,876 --> 00:20:25,716 Speaker 1: From what I work on. You know, on a small 383 00:20:25,716 --> 00:20:26,636 Speaker 1: side it's about eighty. 384 00:20:26,556 --> 00:20:29,436 Speaker 6: Megawatts on the on the large size up to like 385 00:20:29,476 --> 00:20:33,036 Speaker 6: fifteen hundred megawatts, So fifteen hundred megawats power a million 386 00:20:33,076 --> 00:20:36,516 Speaker 6: and a half homes. Yeah, yeah, And you know, there's 387 00:20:36,636 --> 00:20:38,676 Speaker 6: there's nothing we work on that you're moving with hand. 388 00:20:38,716 --> 00:20:40,596 Speaker 1: Everything's being moved with a crane. 389 00:20:40,916 --> 00:20:44,116 Speaker 3: You're dealing with a complex piece of machinery. You're a 390 00:20:44,156 --> 00:20:48,516 Speaker 3: German based company, You're you You had to show up 391 00:20:48,956 --> 00:20:53,356 Speaker 3: with boxes and boxes of manuals and you had to 392 00:20:53,396 --> 00:20:58,956 Speaker 3: be in communication with people who presumably designed the machines 393 00:20:59,156 --> 00:20:59,876 Speaker 3: back in Europe. 394 00:20:59,916 --> 00:21:00,156 Speaker 1: Yep. 395 00:21:02,116 --> 00:21:08,116 Speaker 3: Talk a little bit about the difficulties of that earlier paradigm. 396 00:21:07,116 --> 00:21:10,316 Speaker 6: Doing, you know, to the the earliest parts of my career. 397 00:21:10,356 --> 00:21:13,156 Speaker 6: You know, if you wanted to send a picture or 398 00:21:13,236 --> 00:21:15,676 Speaker 6: a sketch of what you found at the site, you 399 00:21:16,156 --> 00:21:18,676 Speaker 6: actually had to send it by mail, you know, and 400 00:21:18,716 --> 00:21:19,316 Speaker 6: turn it around. 401 00:21:19,316 --> 00:21:21,476 Speaker 1: And then you know, you could fax it. 402 00:21:21,556 --> 00:21:23,956 Speaker 6: And then all of a sudden you could attach a 403 00:21:24,076 --> 00:21:29,036 Speaker 6: digital picture to an electronic communication. And you know, now 404 00:21:29,076 --> 00:21:32,196 Speaker 6: with this technology, you know, we can live stream and 405 00:21:32,236 --> 00:21:34,316 Speaker 6: four K and hey this is what I'm looking at 406 00:21:34,396 --> 00:21:36,476 Speaker 6: you you see this? Okay, Hey I want to see 407 00:21:36,596 --> 00:21:41,236 Speaker 6: from this view? You know, in the technology just allows 408 00:21:41,276 --> 00:21:45,116 Speaker 6: that real time regardless of where the people are sitting. 409 00:21:45,236 --> 00:21:47,716 Speaker 6: You know, collaboration as well as access to all the 410 00:21:47,716 --> 00:21:48,596 Speaker 6: technical information. 411 00:21:49,316 --> 00:21:51,276 Speaker 3: What's the big payoff for you? Is it that you 412 00:21:51,276 --> 00:21:54,396 Speaker 3: can now speed up the process of doing these this 413 00:21:54,556 --> 00:21:54,876 Speaker 3: kind of. 414 00:21:54,836 --> 00:21:59,556 Speaker 6: Maintenance absolutely for the customer, the owner of the power plant, 415 00:21:59,596 --> 00:22:05,036 Speaker 6: whether it's a utility, an independent power producer, or some 416 00:22:05,076 --> 00:22:06,116 Speaker 6: sort of municipality. 417 00:22:06,476 --> 00:22:11,556 Speaker 1: You know, bringing that unit back sooner is beneficial to them. 418 00:22:11,676 --> 00:22:15,036 Speaker 6: Getting my cruise off site sooner saves me money, lets 419 00:22:15,036 --> 00:22:16,636 Speaker 6: me send them to another site. 420 00:22:16,756 --> 00:22:18,316 Speaker 1: So it's all about the speed. 421 00:22:18,356 --> 00:22:20,156 Speaker 6: And you know, the last thing we want to be 422 00:22:20,236 --> 00:22:24,876 Speaker 6: slowed down with is communicating with engineering, getting that technical answer, 423 00:22:25,316 --> 00:22:28,036 Speaker 6: you know, you know, getting that support. You know, I 424 00:22:28,116 --> 00:22:32,636 Speaker 6: need whatever environment my people are working at to seem 425 00:22:32,676 --> 00:22:35,076 Speaker 6: like they're sitting at headquarters and have access to all 426 00:22:35,116 --> 00:22:35,876 Speaker 6: the same information. 427 00:22:36,196 --> 00:22:39,356 Speaker 3: Yeah, so T mobile gives you now able to equip 428 00:22:39,396 --> 00:22:42,796 Speaker 3: all of those technicians with essentially a dedicated slice, a 429 00:22:42,876 --> 00:22:44,556 Speaker 3: supermobile dedicated step. 430 00:22:45,076 --> 00:22:47,996 Speaker 6: And you know, as you can imagine, you know, maybe 431 00:22:48,036 --> 00:22:51,396 Speaker 6: unlike where people are reporting, you know, everything that we're happening. 432 00:22:51,076 --> 00:22:53,676 Speaker 1: Is is kind of more remote. 433 00:22:53,716 --> 00:22:57,436 Speaker 6: You know, your power plants are generally found in your 434 00:22:57,436 --> 00:23:00,356 Speaker 6: city centers and your hubs, So it's that connectivity, whether 435 00:23:00,396 --> 00:23:06,236 Speaker 6: it's five G or satellite, you know, lots of different options, 436 00:23:06,236 --> 00:23:09,076 Speaker 6: but it's connecting our people to what they need. 437 00:23:09,836 --> 00:23:14,356 Speaker 3: And how did you find out about about supermobile, Well. 438 00:23:14,396 --> 00:23:17,356 Speaker 6: It was kind of an initially organic conversation. They came 439 00:23:17,396 --> 00:23:20,236 Speaker 6: to us said, hey, we think we've got something for you. 440 00:23:20,236 --> 00:23:25,836 Speaker 6: You know, we're always trying to get our people that 441 00:23:25,996 --> 00:23:28,156 Speaker 6: bandwidth on site, and you know, we brought them the 442 00:23:28,196 --> 00:23:29,756 Speaker 6: problem like to you know, what what can you do? 443 00:23:30,756 --> 00:23:33,076 Speaker 6: And that's what started the conversation. 444 00:23:33,916 --> 00:23:36,716 Speaker 4: For T mobile. It's I mentioned this before, but it's 445 00:23:36,756 --> 00:23:40,916 Speaker 4: worth repeating, Like, we start with what are our customers 446 00:23:40,956 --> 00:23:45,516 Speaker 4: pain points? And we knew with Semen's energy, remote workforce, 447 00:23:45,996 --> 00:23:50,516 Speaker 4: work or safety efficiency were things that were incredibly important 448 00:23:50,916 --> 00:23:54,796 Speaker 4: and so as we were designing and building supermobile as 449 00:23:54,836 --> 00:23:59,996 Speaker 4: a solution, we really fought through what customers, what industries 450 00:24:00,156 --> 00:24:04,476 Speaker 4: do we think will really benefit from this value proposition 451 00:24:04,636 --> 00:24:07,516 Speaker 4: and these paining points that we can come smash. And 452 00:24:07,556 --> 00:24:11,716 Speaker 4: this is why the COMversations with CNN around frontline journalists began. 453 00:24:12,116 --> 00:24:14,556 Speaker 4: This is why the conversations was seen in the energies 454 00:24:14,596 --> 00:24:17,596 Speaker 4: around remote workers working in some of the most remote 455 00:24:17,596 --> 00:24:21,756 Speaker 4: parts of America. Began, and it was so exciting for 456 00:24:21,836 --> 00:24:23,916 Speaker 4: us to see that yeah, there was a there there 457 00:24:23,956 --> 00:24:26,276 Speaker 4: and we could really help our customers win. 458 00:24:26,676 --> 00:24:30,356 Speaker 3: The case studies you've got like F one, Yeah, you've 459 00:24:30,356 --> 00:24:33,676 Speaker 3: got like frontline journalists, you know, reporting on You've got 460 00:24:33,676 --> 00:24:35,796 Speaker 3: like the power plans that we can't live without you 461 00:24:36,116 --> 00:24:40,356 Speaker 3: enrolling out something like this. Do you choose early case 462 00:24:40,356 --> 00:24:43,756 Speaker 3: studies that you think will kind of capture the attention 463 00:24:43,916 --> 00:24:46,836 Speaker 3: of I mean, this seems to be an art behind it. 464 00:24:47,356 --> 00:24:48,196 Speaker 3: Who you are. 465 00:24:49,076 --> 00:24:51,996 Speaker 4: This is why I love business and B to B. 466 00:24:52,196 --> 00:24:56,636 Speaker 4: I mean, like just listening to these stories about solutions 467 00:24:56,636 --> 00:25:01,156 Speaker 4: that are serving Americans, whether the end consumer that's receiving 468 00:25:01,196 --> 00:25:03,756 Speaker 4: the electricity or the power of the energy, or the 469 00:25:03,756 --> 00:25:07,756 Speaker 4: person at home or on the go who's consuming news content. 470 00:25:08,196 --> 00:25:11,676 Speaker 4: Like everything in our lives in some way is touched 471 00:25:11,796 --> 00:25:15,396 Speaker 4: by business. And so absolutely, when we're building any solution, 472 00:25:15,596 --> 00:25:18,636 Speaker 4: we're always thinking about, Okay, what are the pain points, 473 00:25:18,996 --> 00:25:22,156 Speaker 4: what are the specific verticals or industries that could benefit 474 00:25:22,276 --> 00:25:25,516 Speaker 4: from this? And then because we're deep in the B 475 00:25:25,596 --> 00:25:28,636 Speaker 4: to B, we're able to bring industry experts to the 476 00:25:28,636 --> 00:25:32,076 Speaker 4: table internally and trusted partners and customers to have a 477 00:25:32,076 --> 00:25:36,516 Speaker 4: conversation on, Hey, does this really achieve and smash the 478 00:25:36,516 --> 00:25:39,596 Speaker 4: pain point that you have? And so the answer is yeah, absolutely, 479 00:25:39,636 --> 00:25:40,876 Speaker 4: and it's a lot of fun too. 480 00:25:46,036 --> 00:25:59,156 Speaker 2: We'll be right back and we're back. 481 00:25:59,516 --> 00:26:01,636 Speaker 3: Who needs this technology? Who hasn't adopted? 482 00:26:02,276 --> 00:26:05,276 Speaker 4: What I love about supermobile is that there's three key capabilities, 483 00:26:05,316 --> 00:26:07,396 Speaker 4: So let's start there. One is the slicing that we've 484 00:26:07,436 --> 00:26:10,076 Speaker 4: talked a lot about. I think of that is intelligent 485 00:26:10,116 --> 00:26:14,076 Speaker 4: adaptive connectivity that meets the performance and real time requirements 486 00:26:14,076 --> 00:26:16,396 Speaker 4: of businesses. The second one that we haven't got into 487 00:26:16,516 --> 00:26:20,156 Speaker 4: very much is built in security to ensure that as 488 00:26:20,236 --> 00:26:24,596 Speaker 4: part of any layer cybersecurity defense posture that our businesses 489 00:26:24,596 --> 00:26:28,036 Speaker 4: are taking, we're helping protect also at the network layer. 490 00:26:28,276 --> 00:26:31,036 Speaker 4: And then the third one is the satellite capabilities that 491 00:26:31,076 --> 00:26:35,516 Speaker 4: allow people to communicate from anywhere that they're at. And 492 00:26:35,556 --> 00:26:40,076 Speaker 4: as I think about that, the one that we haven't 493 00:26:40,156 --> 00:26:48,396 Speaker 4: really gotten into is events, concerts, political conventions, things like that, 494 00:26:48,756 --> 00:26:52,596 Speaker 4: where the slicing elements of it I think really really 495 00:26:53,836 --> 00:26:56,956 Speaker 4: can help. And then on the satellite side, I still 496 00:26:56,996 --> 00:27:00,556 Speaker 4: think there's opportunities around workers that are deeply remote outside 497 00:27:00,596 --> 00:27:05,396 Speaker 4: of energy. Government employees in national parks is an example 498 00:27:07,116 --> 00:27:10,276 Speaker 4: that could use the satellite capability in their everyday job 499 00:27:10,316 --> 00:27:12,996 Speaker 4: and really for safety purposes to make sure that in 500 00:27:12,996 --> 00:27:15,276 Speaker 4: one way or another they're always on the grid. 501 00:27:15,516 --> 00:27:18,236 Speaker 3: Yeah, Steve, I had to come back to promote and 502 00:27:18,236 --> 00:27:22,316 Speaker 3: I'm curious about as you've kind of experienced this technology, 503 00:27:22,396 --> 00:27:25,676 Speaker 3: and I thought about how it affects your workflow and 504 00:27:25,716 --> 00:27:28,796 Speaker 3: all these do you is there a point at which 505 00:27:28,836 --> 00:27:34,636 Speaker 3: you start to reimagine what your uh, these job sites 506 00:27:34,716 --> 00:27:37,356 Speaker 3: looked like. I asked this questionly because I remember we did. 507 00:27:37,636 --> 00:27:41,956 Speaker 3: We did a tea mobile conversation once with these firefighters, 508 00:27:42,036 --> 00:27:47,156 Speaker 3: remember those guys. Yes, and the firefighters were completely rethought 509 00:27:47,156 --> 00:27:49,796 Speaker 3: they were the way they fought fires once they had 510 00:27:49,836 --> 00:27:52,996 Speaker 3: this technology, because they they would go instead of having 511 00:27:53,036 --> 00:27:57,316 Speaker 3: everything from directed from a command center off site, they 512 00:27:57,356 --> 00:27:59,276 Speaker 3: would put just put a server in the back of 513 00:27:59,356 --> 00:28:02,116 Speaker 3: pickup truck and go directly to the fireside and have 514 00:28:02,196 --> 00:28:04,556 Speaker 3: all the decisions made there because now they had connectivity. 515 00:28:04,876 --> 00:28:08,596 Speaker 3: So this would seemed like a relatively simple shift in 516 00:28:08,596 --> 00:28:11,956 Speaker 3: the infrastruct completely change the way they thought about firing 517 00:28:11,956 --> 00:28:14,476 Speaker 3: fighters and now fire fighting fires and all of a sudden, 518 00:28:14,516 --> 00:28:16,796 Speaker 3: the firefighters on the scene had to make were able 519 00:28:16,836 --> 00:28:18,996 Speaker 3: to make all kinds of decisions they never made before. 520 00:28:19,076 --> 00:28:22,116 Speaker 3: I'm curious about. Could you talk about you must have 521 00:28:22,196 --> 00:28:24,996 Speaker 3: thought about Wait a second, this means I could do this, this, 522 00:28:25,076 --> 00:28:26,516 Speaker 3: and this that I've never done before. 523 00:28:27,196 --> 00:28:27,476 Speaker 1: Yeah. 524 00:28:28,076 --> 00:28:31,116 Speaker 6: The the idea of a tablet, you know, in an engineer, 525 00:28:31,236 --> 00:28:34,516 Speaker 6: a technician or a craftsman's hand, you know, with with 526 00:28:34,556 --> 00:28:37,356 Speaker 6: the work instructions, the ability to pull a drawing versus 527 00:28:37,716 --> 00:28:40,956 Speaker 6: walking back to a trailer to do that, and then 528 00:28:41,156 --> 00:28:45,796 Speaker 6: the ability to really just collaborate, you know, on the 529 00:28:45,876 --> 00:28:49,436 Speaker 6: deck plates, you know, with a with an engineering organization, 530 00:28:49,636 --> 00:28:53,596 Speaker 6: be it you know in Europe or somewhere else. You know, 531 00:28:53,996 --> 00:28:56,636 Speaker 6: it's all right in the in the in your hands, 532 00:28:56,636 --> 00:29:00,436 Speaker 6: and that goes into you know, changing and streamlining, you know, 533 00:29:00,676 --> 00:29:04,676 Speaker 6: what we're doing on the customer sites and ultimately eliminating things. 534 00:29:05,036 --> 00:29:08,196 Speaker 3: That's really interesting. Give me a concrete example of a 535 00:29:08,236 --> 00:29:09,556 Speaker 3: step you could a limit name. 536 00:29:10,836 --> 00:29:13,476 Speaker 4: You know, And one example I love is the see 537 00:29:13,516 --> 00:29:14,596 Speaker 4: what I see right? 538 00:29:15,076 --> 00:29:21,196 Speaker 6: Yeah, if we were inspecting a roll of blades, you could, 539 00:29:21,596 --> 00:29:25,036 Speaker 6: instead of me going through and documenting what each blade is, 540 00:29:25,476 --> 00:29:27,796 Speaker 6: you know, taking pictures of it, go through and write 541 00:29:27,836 --> 00:29:31,436 Speaker 6: a meticulous report. Hey, I just visually inspected these I'm 542 00:29:31,436 --> 00:29:33,076 Speaker 6: gonna let you visually inspect them with me. 543 00:29:33,516 --> 00:29:37,156 Speaker 1: Okay, hey, they're acceptable as is versus. 544 00:29:36,836 --> 00:29:40,316 Speaker 6: You know, getting into dimensioning and visual inspections just to 545 00:29:40,316 --> 00:29:42,116 Speaker 6: communicate to an engineering organization. 546 00:29:42,236 --> 00:29:42,476 Speaker 1: Yeah. 547 00:29:42,596 --> 00:29:45,236 Speaker 4: Yeah, like with the camera on the phone, right, be 548 00:29:45,356 --> 00:29:49,436 Speaker 4: a supermobile now literally you can to use a consumer 549 00:29:49,556 --> 00:29:52,996 Speaker 4: term FaceTime in someone an expert and let them in 550 00:29:53,036 --> 00:29:55,876 Speaker 4: real time see what the technician on site is seeing 551 00:29:56,396 --> 00:29:57,596 Speaker 4: and a system. 552 00:29:57,636 --> 00:30:00,236 Speaker 3: Guy just is there a point where we start to 553 00:30:00,316 --> 00:30:04,396 Speaker 3: reimagine what covering an event looks like when we when 554 00:30:04,436 --> 00:30:09,316 Speaker 3: we radically improve the kind of underlying connectivity connectivity. 555 00:30:09,636 --> 00:30:14,396 Speaker 5: We launched last month a new streaming service. It's this 556 00:30:14,476 --> 00:30:19,596 Speaker 5: adaptive live news experience that's designed for the modern news consumer. 557 00:30:19,836 --> 00:30:22,996 Speaker 5: Live when it matters, deep one accounts, available anytime, anywhere. 558 00:30:23,036 --> 00:30:26,196 Speaker 5: It's basically having the entire cn and experience in the 559 00:30:26,196 --> 00:30:29,036 Speaker 5: palm of your hands on the phone. And you know, 560 00:30:29,196 --> 00:30:32,796 Speaker 5: with that, we it's going to force us the opportunity 561 00:30:32,876 --> 00:30:35,756 Speaker 5: to do some really cool things with our journalists. We 562 00:30:35,836 --> 00:30:38,876 Speaker 5: think in this new age of AI, headlines are going 563 00:30:38,956 --> 00:30:42,156 Speaker 5: to be commoditized. You can get them anytime, anyplace, anywhere, right, 564 00:30:42,236 --> 00:30:45,396 Speaker 5: But people trust people, and we have some of the 565 00:30:45,396 --> 00:30:48,996 Speaker 5: biggest world renowned journalists on the planet, like people that 566 00:30:49,076 --> 00:30:51,676 Speaker 5: are anchors and reporters, and you know that millions and 567 00:30:51,716 --> 00:30:55,076 Speaker 5: millions of people really trust it's taking the news reporting 568 00:30:55,156 --> 00:30:59,076 Speaker 5: to the next level. These capabilities aren't afforded right now 569 00:30:59,076 --> 00:31:02,196 Speaker 5: within this new streaming product, but they're on the roadmap 570 00:31:02,276 --> 00:31:04,796 Speaker 5: in twenty twenty six, and we're hoping that T Mobile 571 00:31:04,996 --> 00:31:07,396 Speaker 5: will be the underpinnings of technology that allow us to 572 00:31:07,396 --> 00:31:07,956 Speaker 5: do all of that. 573 00:31:08,156 --> 00:31:10,196 Speaker 1: So that's into the next level. 574 00:31:10,516 --> 00:31:15,116 Speaker 3: A question for all three of you, what would what 575 00:31:15,596 --> 00:31:19,556 Speaker 3: do you want next? So all of you have described 576 00:31:19,796 --> 00:31:23,436 Speaker 3: a technology that allows an existing set of processes to 577 00:31:23,476 --> 00:31:27,596 Speaker 3: be done much more reliably, and is there something what's 578 00:31:27,636 --> 00:31:29,876 Speaker 3: on your wish list? What could the technology go? 579 00:31:30,236 --> 00:31:32,396 Speaker 4: Love this question? I mean, at the heart of it, 580 00:31:32,716 --> 00:31:37,156 Speaker 4: slicing is replacing what used to take wires to do. 581 00:31:37,636 --> 00:31:40,156 Speaker 4: You mentioned it at the beginning, which was fixed locations 582 00:31:40,156 --> 00:31:43,396 Speaker 4: and satellite trucks. We talked about F one at the 583 00:31:43,516 --> 00:31:45,396 Speaker 4: end of the day. Over the last X number of 584 00:31:45,436 --> 00:31:50,236 Speaker 4: decades has been this massive transition and transformation from needing 585 00:31:50,276 --> 00:31:54,276 Speaker 4: to physically connect everything with a wire to now we 586 00:31:54,316 --> 00:31:58,116 Speaker 4: can use slicing to emulate what wireline networks used to 587 00:31:58,156 --> 00:32:01,956 Speaker 4: do on mobile networks. So as I think about what's next, 588 00:32:02,276 --> 00:32:07,356 Speaker 4: it's really about how much more can wireline networks be 589 00:32:07,516 --> 00:32:14,156 Speaker 4: disrupted to solve real challenges and create value for business customers. 590 00:32:14,196 --> 00:32:16,116 Speaker 4: And that's what I spent a lot of my time 591 00:32:16,396 --> 00:32:16,836 Speaker 4: going on. 592 00:32:17,116 --> 00:32:19,476 Speaker 3: You haven't mentioned MO. I keep waiting for you to 593 00:32:20,156 --> 00:32:26,436 Speaker 3: mention healthcare because I feel like the implications here for 594 00:32:26,516 --> 00:32:27,476 Speaker 3: healthcare are huge. 595 00:32:27,556 --> 00:32:30,796 Speaker 4: Yes, yes, I mean we talked to actually once before 596 00:32:30,836 --> 00:32:34,196 Speaker 4: a little bit about healthcare. But what I for healthcare 597 00:32:34,236 --> 00:32:37,236 Speaker 4: The way we think about it is one, emergency medical 598 00:32:37,276 --> 00:32:41,716 Speaker 4: services are first responders, so they absolutely have access to 599 00:32:41,876 --> 00:32:45,076 Speaker 4: and we see them using the T priority slice. But 600 00:32:45,156 --> 00:32:49,836 Speaker 4: then where the magic happens is the integration of that 601 00:32:50,036 --> 00:32:53,876 Speaker 4: slicing technology for the moving vehicle, the tablets in the 602 00:32:53,956 --> 00:32:57,156 Speaker 4: vehicle helping save lives, and the ability to transfer and 603 00:32:57,196 --> 00:33:02,076 Speaker 4: transition that data off of the EMS solution directly into 604 00:33:02,116 --> 00:33:05,796 Speaker 4: the hospital or the healthcare facility where they're showing up. 605 00:33:06,236 --> 00:33:09,116 Speaker 4: And I have multiple examples I could take you through 606 00:33:09,196 --> 00:33:14,116 Speaker 4: with hospitals that have deployed five G purpose built coverage, 607 00:33:14,436 --> 00:33:18,836 Speaker 4: usually to replace something like Wi Fi, to enable massive 608 00:33:18,876 --> 00:33:23,356 Speaker 4: amounts of data much faster at lower latency, fully integrated 609 00:33:23,436 --> 00:33:26,836 Speaker 4: with the EMS community around them to do their thing. 610 00:33:27,236 --> 00:33:29,916 Speaker 3: I had a conversation of heartbreaking conversation with a guy, 611 00:33:30,236 --> 00:33:35,956 Speaker 3: an ear doc in Chicago, who is training kids in 612 00:33:36,036 --> 00:33:40,916 Speaker 3: the kind of rudimentary principles of first response, because on 613 00:33:40,956 --> 00:33:44,076 Speaker 3: the South side of Chicago, it's the public who comes 614 00:33:44,156 --> 00:33:47,276 Speaker 3: upon a gunshot with victim first right, and there's might 615 00:33:47,316 --> 00:33:51,676 Speaker 3: be a five or ten minute window where some civilian 616 00:33:51,796 --> 00:33:54,436 Speaker 3: is just sitting with the body and he was trying 617 00:33:54,436 --> 00:33:56,796 Speaker 3: to teach them about, you know, compress the wound or whatever. 618 00:33:57,036 --> 00:33:59,476 Speaker 3: But I can imagine, couldn't you imagine a universe where 619 00:33:59,476 --> 00:34:03,476 Speaker 3: they just take your phone out exactly and you know, 620 00:34:03,796 --> 00:34:05,876 Speaker 3: and take a picture of a video of everything, and 621 00:34:05,916 --> 00:34:08,516 Speaker 3: that's sent immediately to somebody who can tell them in 622 00:34:08,596 --> 00:34:10,276 Speaker 3: real time to do exactly. 623 00:34:10,596 --> 00:34:14,636 Speaker 4: We're thinking about the Seama's energy example of what I see. 624 00:34:14,996 --> 00:34:19,676 Speaker 4: But I fundamentally believe in know that over time, what 625 00:34:19,716 --> 00:34:21,996 Speaker 4: we're going to have is just overlays. So you're going 626 00:34:22,036 --> 00:34:24,476 Speaker 4: to use the camera on your phone, and on your 627 00:34:24,476 --> 00:34:26,796 Speaker 4: phone as you're pointing at something, it will show you 628 00:34:26,836 --> 00:34:30,796 Speaker 4: the schematics or it will show you how to help 629 00:34:30,956 --> 00:34:34,476 Speaker 4: a patient in real time with instructions, so someone can 630 00:34:34,476 --> 00:34:36,196 Speaker 4: be holding it, someone else can be looking at it, 631 00:34:36,236 --> 00:34:38,516 Speaker 4: and it tells you the thing where I thought you 632 00:34:38,556 --> 00:34:40,196 Speaker 4: were going to go with the thing we have not 633 00:34:40,276 --> 00:34:43,316 Speaker 4: yet talked about, which in this year we haven't talked 634 00:34:43,316 --> 00:34:45,116 Speaker 4: about AI at all. It was good. 635 00:34:45,196 --> 00:34:47,796 Speaker 3: That was my next That was my next I had. 636 00:34:48,316 --> 00:34:51,196 Speaker 3: It was I thought that Steve would be the natural 637 00:34:51,236 --> 00:34:55,316 Speaker 3: one to because clearly that's you were talking about connecting 638 00:34:55,356 --> 00:34:57,476 Speaker 3: to the guy back in Germany. Yes, but maybe the 639 00:34:57,516 --> 00:35:00,276 Speaker 3: thing that you're doing with your with this connectivity is 640 00:35:00,276 --> 00:35:03,116 Speaker 3: bringing in AI and having diagnostics that way, right, am 641 00:35:03,116 --> 00:35:03,476 Speaker 3: I Right? 642 00:35:03,836 --> 00:35:05,836 Speaker 6: We don't know what we don't know yet with it, 643 00:35:05,996 --> 00:35:12,396 Speaker 6: you know, but the promise of just we've got years 644 00:35:12,476 --> 00:35:17,836 Speaker 6: worth of running data, We've got years worth of inspection reports. 645 00:35:17,996 --> 00:35:20,996 Speaker 6: How do you overlay those two together and have AI, 646 00:35:21,356 --> 00:35:24,916 Speaker 6: you know, start doing smarter maintenance, doing more predictive maintenance, 647 00:35:25,116 --> 00:35:28,916 Speaker 6: deferring maintenance, you know, based off of what we can 648 00:35:28,916 --> 00:35:32,756 Speaker 6: see with the AD but just the getting ready for 649 00:35:32,836 --> 00:35:38,556 Speaker 6: what the infrastructure and the power to build this this 650 00:35:38,556 --> 00:35:42,836 Speaker 6: this this next wave of AI for the US, you know, 651 00:35:43,396 --> 00:35:45,476 Speaker 6: it's what's driving our industry right now. 652 00:35:45,796 --> 00:35:48,356 Speaker 3: The data demands of having a kind of open interaction 653 00:35:48,796 --> 00:35:52,876 Speaker 3: with I'm assuming they're they're far greater than interaction with 654 00:35:52,876 --> 00:35:55,636 Speaker 3: the human being. It was if I'm if I'm Steve, 655 00:35:56,116 --> 00:35:58,436 Speaker 3: or I'm one of Steve's people and I'm on site 656 00:35:58,556 --> 00:36:02,316 Speaker 3: and I have some problem and I want to be 657 00:36:02,356 --> 00:36:05,596 Speaker 3: able to contact the specialist in Germany, or I want 658 00:36:05,636 --> 00:36:08,796 Speaker 3: to have access to to it to an ll M 659 00:36:08,836 --> 00:36:11,516 Speaker 3: that is like, got all the manuals, and one is 660 00:36:11,596 --> 00:36:12,956 Speaker 3: much more data intentioned than the other. 661 00:36:13,076 --> 00:36:18,036 Speaker 4: Right, Absolutely, it really boils down to are you using text, 662 00:36:18,516 --> 00:36:21,236 Speaker 4: are you using voice? Or are you using video? Because 663 00:36:21,276 --> 00:36:24,516 Speaker 4: the AI compute itself, that's its own server, its own 664 00:36:24,556 --> 00:36:28,756 Speaker 4: mechanism that's sitting and processing. But then the mechanism by 665 00:36:28,796 --> 00:36:32,196 Speaker 4: which you're bringing that information to and from is where 666 00:36:32,196 --> 00:36:35,556 Speaker 4: it gets more intensive based on the modality that you're using. 667 00:36:35,716 --> 00:36:39,796 Speaker 4: So if it's a chat AI, it could be relatively 668 00:36:39,836 --> 00:36:44,076 Speaker 4: limited bandwidth, this required voice bit more and then video 669 00:36:44,396 --> 00:36:44,836 Speaker 4: the most. 670 00:36:45,076 --> 00:36:47,516 Speaker 3: Yeah, yeah, guy. Have you thought about that in the 671 00:36:47,556 --> 00:36:50,436 Speaker 3: context of is that a challenge or a question that 672 00:36:51,396 --> 00:36:56,716 Speaker 3: comes up with at CNN about or well, it's just 673 00:36:56,756 --> 00:36:59,396 Speaker 3: the future of reporting, you know, because I was thinking 674 00:36:59,436 --> 00:37:02,316 Speaker 3: in this conversation, you know, we're talking about what we're 675 00:37:02,356 --> 00:37:05,196 Speaker 3: really talking about with all of these conversations is we 676 00:37:05,236 --> 00:37:08,716 Speaker 3: are making we are increasing the sophistication of the point 677 00:37:08,756 --> 00:37:13,476 Speaker 3: of can action between us whoever has this device or whatever, 678 00:37:14,276 --> 00:37:18,596 Speaker 3: and the problem they're trying to solve. And with journalist 679 00:37:18,596 --> 00:37:23,556 Speaker 3: setting an incredibly fascinating question because you can imagine a 680 00:37:23,596 --> 00:37:26,796 Speaker 3: situation where someone is observing something and AI is helping 681 00:37:26,836 --> 00:37:29,316 Speaker 3: them understand what they're seeing. I agree. 682 00:37:29,476 --> 00:37:33,116 Speaker 5: I think that all of these advances in technology are 683 00:37:33,156 --> 00:37:35,356 Speaker 5: just going to enable us to do what we do 684 00:37:36,276 --> 00:37:38,196 Speaker 5: on steroids much much better. 685 00:37:38,596 --> 00:37:40,236 Speaker 1: It's also going to enable us to. 686 00:37:41,716 --> 00:37:46,116 Speaker 5: Potentially provide value or utility to the general public in society. 687 00:37:47,396 --> 00:37:48,476 Speaker 3: So just getting back. 688 00:37:48,396 --> 00:37:50,476 Speaker 5: To the thing like allowing us to do things better. 689 00:37:51,596 --> 00:37:55,116 Speaker 5: We defined real time journalism on cable TV forty. 690 00:37:54,796 --> 00:37:55,436 Speaker 1: Five years ago. 691 00:37:55,516 --> 00:37:57,796 Speaker 5: We were the first network to have twenty four to 692 00:37:57,876 --> 00:38:01,356 Speaker 5: seven news, and that costs a lot of money to 693 00:38:01,436 --> 00:38:04,836 Speaker 5: do right. And so what we're hoping is with all 694 00:38:04,876 --> 00:38:08,316 Speaker 5: of these advances in technology and literally not needing those 695 00:38:08,316 --> 00:38:11,836 Speaker 5: satellite tracks and not needing that camera crew and literally 696 00:38:11,916 --> 00:38:13,676 Speaker 5: having all of this in the palm of your hand, 697 00:38:14,156 --> 00:38:17,156 Speaker 5: it'll allow us to do that much more efficiently. And 698 00:38:17,196 --> 00:38:20,516 Speaker 5: then lastly, I would say with the utility piece, which 699 00:38:20,556 --> 00:38:22,636 Speaker 5: is kind of you know, this hasn't been vetted. This 700 00:38:22,716 --> 00:38:25,876 Speaker 5: is just my thoughts. Like, let's say we are running 701 00:38:25,916 --> 00:38:28,996 Speaker 5: towards the fire or running towards the flood, and we're 702 00:38:29,036 --> 00:38:32,316 Speaker 5: the first on location and we see people. 703 00:38:32,036 --> 00:38:32,916 Speaker 1: That are in need. 704 00:38:33,436 --> 00:38:35,996 Speaker 5: Is there a way that we, through super mobile can 705 00:38:36,116 --> 00:38:39,516 Speaker 5: connect to the local EMS or could assess what's going 706 00:38:39,596 --> 00:38:41,596 Speaker 5: on and say there's a need for X, Y and 707 00:38:41,716 --> 00:38:44,396 Speaker 5: Z in this moment. So we're not just reporting what's 708 00:38:44,436 --> 00:38:46,996 Speaker 5: going on, but we're also able to help solve for 709 00:38:47,076 --> 00:38:50,516 Speaker 5: whatever disaster or problem is happening any time. So that's 710 00:38:50,596 --> 00:38:52,876 Speaker 5: kind of like the next step where you know, this. 711 00:38:53,676 --> 00:38:57,836 Speaker 3: War reporting war reporting, which is the most confusing and 712 00:38:57,916 --> 00:39:02,876 Speaker 3: kind of mistake prone. The idea that are a reporter 713 00:39:03,036 --> 00:39:07,436 Speaker 3: on the scene could be taking video and having you know, 714 00:39:07,916 --> 00:39:11,716 Speaker 3: identify that that was that plane you see was this 715 00:39:11,836 --> 00:39:13,596 Speaker 3: kind of plane that belonged to this country and not 716 00:39:13,716 --> 00:39:16,476 Speaker 3: that country, and that that that missile you see was 717 00:39:16,476 --> 00:39:19,076 Speaker 3: this kind of missile. That kind of thing improves the 718 00:39:19,116 --> 00:39:23,116 Speaker 3: fidelity of the on site reporting and has all kinds 719 00:39:23,116 --> 00:39:26,236 Speaker 3: of ripple effects downstream, right because we're not we have 720 00:39:26,236 --> 00:39:30,996 Speaker 3: an we have a less corrupted data from the source totally. 721 00:39:31,276 --> 00:39:32,676 Speaker 4: Yeah, yeah, we. 722 00:39:32,596 --> 00:39:34,996 Speaker 3: Should probably wrap up. But there's a couple of themes 723 00:39:35,036 --> 00:39:36,756 Speaker 3: I wanted to kind of end up. The first one 724 00:39:36,836 --> 00:39:43,196 Speaker 3: is that the the effects of technological innovation are unpredictable 725 00:39:43,196 --> 00:39:46,036 Speaker 3: and unknowable. I don't imagine no, correct if I'm wrong. 726 00:39:46,396 --> 00:39:50,396 Speaker 3: When you guys were coming up with slicing and with supermobile, 727 00:39:50,956 --> 00:39:53,076 Speaker 3: you did not anticipate all the ways in which the 728 00:39:53,116 --> 00:39:55,796 Speaker 3: technology could be used by your customers. You had some 729 00:39:55,876 --> 00:39:58,476 Speaker 3: of it a sense, I think probably, But when you 730 00:39:58,556 --> 00:40:02,156 Speaker 3: listen to Guy and Steve am I right, you hear 731 00:40:02,236 --> 00:40:04,556 Speaker 3: things that you you didn't think that was what it 732 00:40:04,596 --> 00:40:05,236 Speaker 3: was going to be about. 733 00:40:05,516 --> 00:40:08,716 Speaker 4: That's exactly right. I mean again, thinking about the arc 734 00:40:08,756 --> 00:40:13,196 Speaker 4: of time here, twenty years ago, no one predicted slicing 735 00:40:13,516 --> 00:40:16,676 Speaker 4: was coming. You know, arguably five years ago, no one 736 00:40:16,716 --> 00:40:18,836 Speaker 4: saw the rise of AI in the way that it's 737 00:40:18,876 --> 00:40:22,676 Speaker 4: actually played out from about three years ago. But yeah, 738 00:40:22,876 --> 00:40:26,756 Speaker 4: we're building mobile networks and as we're thinking about the 739 00:40:26,796 --> 00:40:29,716 Speaker 4: future of now five G to six G and what 740 00:40:29,756 --> 00:40:32,276 Speaker 4: are those use cases and how can they serve businesses? 741 00:40:32,636 --> 00:40:36,116 Speaker 4: One hundred percent it's these sorts of conversations on hey, 742 00:40:36,156 --> 00:40:38,836 Speaker 4: what's going on in your business and what challenges are 743 00:40:38,836 --> 00:40:41,796 Speaker 4: you dealing with and what are you trying to fix 744 00:40:41,916 --> 00:40:44,956 Speaker 4: or address this year. That then gives us the ideas 745 00:40:44,996 --> 00:40:47,836 Speaker 4: of how can we shape the technology and build the 746 00:40:47,836 --> 00:40:50,956 Speaker 4: technology in a way that address is the need. 747 00:40:52,196 --> 00:40:56,516 Speaker 3: Point Number two Reflection number two from our conversation is 748 00:40:56,556 --> 00:41:00,876 Speaker 3: that the systems that we have built as a modern 749 00:41:00,916 --> 00:41:04,716 Speaker 3: economy are probably a lot less efficient than we think 750 00:41:05,596 --> 00:41:07,436 Speaker 3: it was. We assume we're doing a pretty good job. 751 00:41:07,476 --> 00:41:09,636 Speaker 3: Then a new technology comes along, we're like, oh, actually 752 00:41:09,636 --> 00:41:12,956 Speaker 3: you could do it way better. Right, So just when 753 00:41:12,956 --> 00:41:17,036 Speaker 3: you think you've optimized a system, you think that, oh, 754 00:41:17,356 --> 00:41:19,676 Speaker 3: I send the reporter, I got a satellite truck behind 755 00:41:19,716 --> 00:41:22,356 Speaker 3: the reporter. We're fine, this is the way we do news, 756 00:41:22,396 --> 00:41:25,196 Speaker 3: and actually, no, there's a way better. Yeah, you know. 757 00:41:25,436 --> 00:41:29,356 Speaker 5: Or just in terms of like storytelling formats, you know, 758 00:41:29,476 --> 00:41:33,276 Speaker 5: super mobile enable vertical video, which is becoming really hot 759 00:41:33,356 --> 00:41:36,676 Speaker 5: right now. It's the predominant way that people are consuming 760 00:41:36,996 --> 00:41:40,636 Speaker 5: video on social media, etc. We're just getting into that 761 00:41:40,676 --> 00:41:44,396 Speaker 5: game and we're going to be able to tell these 762 00:41:44,876 --> 00:41:49,196 Speaker 5: visually arresting stories in live formats and vertical video mobile 763 00:41:49,196 --> 00:41:52,036 Speaker 5: for storytelling leveraging that and I think the future. 764 00:41:52,596 --> 00:41:54,116 Speaker 1: You know, the best does you have to come? 765 00:41:54,116 --> 00:41:56,516 Speaker 5: I have no idea what it will now, but I 766 00:41:56,596 --> 00:41:59,196 Speaker 5: just I already see some future applications of where this 767 00:41:59,236 --> 00:41:59,556 Speaker 5: could go. 768 00:42:00,436 --> 00:42:02,516 Speaker 3: And then the third thing, and maybe the most important 769 00:42:02,516 --> 00:42:05,156 Speaker 3: thing is the thing I alluded to earlier, is we 770 00:42:05,196 --> 00:42:08,036 Speaker 3: are working towards a new definition of trust. 771 00:42:08,076 --> 00:42:08,316 Speaker 4: Here. 772 00:42:09,196 --> 00:42:12,556 Speaker 3: We've been thinking about trust for generations now as being 773 00:42:12,556 --> 00:42:18,356 Speaker 3: about transparency and fairness and predictability. But now we're adding 774 00:42:18,356 --> 00:42:24,316 Speaker 3: this fourth component of reliability. I can reduce the number 775 00:42:24,356 --> 00:42:29,156 Speaker 3: of you know, catastrophic power outages or system breakdowns. I 776 00:42:29,236 --> 00:42:32,596 Speaker 3: can reduce the error rate of a journalist of the 777 00:42:32,636 --> 00:42:35,676 Speaker 3: scene of a thing. And that that may be that 778 00:42:35,796 --> 00:42:40,556 Speaker 3: new additional that new way of addressing reliability can enhance 779 00:42:40,636 --> 00:42:44,476 Speaker 3: trust in a maybe as much as the other sort 780 00:42:44,516 --> 00:42:49,316 Speaker 3: of three traditional pillars of trust enhancement, which is a 781 00:42:49,476 --> 00:42:54,916 Speaker 3: very very intriguing thought. Anyway, Thank you, this has been fascinating. 782 00:42:54,956 --> 00:42:56,916 Speaker 4: Thanks to Thank you all of you. 783 00:42:57,396 --> 00:43:00,276 Speaker 3: An unlikely pairing that proves not so unlikely in the 784 00:43:01,596 --> 00:43:03,476 Speaker 3: Thanks so much, Milcolm good Singer. 785 00:43:06,396 --> 00:43:08,796 Speaker 2: This episode was made in partnership with Tea Mobile for 786 00:43:08,836 --> 00:43:14,236 Speaker 2: Businessiness at iHeartMedia Special thanks to Moe Kattaba Chief Marketing 787 00:43:14,236 --> 00:43:18,036 Speaker 2: Officer T Mobile for Business, Guy Griggs, Senior Vice president 788 00:43:18,156 --> 00:43:22,556 Speaker 2: AD Sales and Client Partnerships at CNN, Steve Douglas, Senior 789 00:43:22,636 --> 00:43:27,156 Speaker 2: Vice President's Service Operations Siemens Energy, and the entire production 790 00:43:27,276 --> 00:43:31,516 Speaker 2: crew at iHeartMedia. This episode was produced by Nina Bird, 791 00:43:31,596 --> 00:43:36,156 Speaker 2: Lawrence and Lucy Sullivan, editing by Karen Chakerji, mastering by 792 00:43:36,196 --> 00:43:40,796 Speaker 2: Marcelo d Olivera. Our executive producer is Jacob Smith. I'm 793 00:43:41,116 --> 00:43:41,956 Speaker 2: Malcolm Glapwell.