1 00:00:01,200 --> 00:00:04,200 Speaker 1: And as that most of our trading is machine to machine. 2 00:00:04,559 --> 00:00:08,880 Speaker 1: We're counting in single microseconds, and when I look at 3 00:00:09,039 --> 00:00:12,879 Speaker 1: wireless and human response time, the newer five G and 4 00:00:13,000 --> 00:00:15,760 Speaker 1: even some of the optimizations of four G right now 5 00:00:16,079 --> 00:00:19,960 Speaker 1: are getting down to twenty milliseconds. So if you can 6 00:00:20,160 --> 00:00:25,599 Speaker 1: get down to the single digit millisecond latency, all of 7 00:00:25,640 --> 00:00:27,800 Speaker 1: a sudden, it opens up the door for a brand 8 00:00:27,800 --> 00:00:31,520 Speaker 1: new set of machine to machine applications. I think there's 9 00:00:31,520 --> 00:00:36,080 Speaker 1: a big new industry in there somewhere. Welcome to the 10 00:00:36,159 --> 00:00:39,559 Speaker 1: restless ones. I'm Jonathan Strickland. I've spent more than a 11 00:00:39,640 --> 00:00:43,519 Speaker 1: decade really learning about technology one makes it take and 12 00:00:43,520 --> 00:00:47,320 Speaker 1: then describing and explaining that to my audience. But it's 13 00:00:47,320 --> 00:00:51,680 Speaker 1: the conversations with the world's most unconventional thinkers, the leaders 14 00:00:51,720 --> 00:00:55,360 Speaker 1: at the intersection of technology and business, that fascinate me 15 00:00:55,440 --> 00:00:58,840 Speaker 1: the most. In partnership with T Mobile for Business, I 16 00:00:58,920 --> 00:01:01,800 Speaker 1: explore the unique EAK set of challenges that see I 17 00:01:01,920 --> 00:01:04,880 Speaker 1: O S and C t o S face from advancements 18 00:01:04,880 --> 00:01:08,679 Speaker 1: in cloud and edge computing, software as a service, Internet 19 00:01:08,720 --> 00:01:12,440 Speaker 1: of things, and of course five G. We are often 20 00:01:12,520 --> 00:01:16,080 Speaker 1: left wondering how the leading minds and business continued to thrive. 21 00:01:17,040 --> 00:01:25,440 Speaker 1: Let's find out. Our guest today is Brad Peterson, executive 22 00:01:25,520 --> 00:01:29,560 Speaker 1: vice president and chief Technology and Chief Information Officer for NASDAK. 23 00:01:30,160 --> 00:01:34,240 Speaker 1: Brad has extensive experience in the financial and tech sectors. 24 00:01:34,760 --> 00:01:38,959 Speaker 1: That experience informs his unique approach to defining challenges and 25 00:01:39,040 --> 00:01:43,960 Speaker 1: solutions while serving both internal and external partners at NASDAK 26 00:01:44,280 --> 00:01:49,560 Speaker 1: and meeting their technological needs. Brad, thank you so much 27 00:01:49,760 --> 00:01:53,320 Speaker 1: for being here with us today, And before we really 28 00:01:53,400 --> 00:01:59,040 Speaker 1: dive into your role and your experience and your leadership philosophy, 29 00:01:59,080 --> 00:02:01,680 Speaker 1: I wanted to learn a little bit more about you. 30 00:02:01,800 --> 00:02:04,800 Speaker 1: So when did you first get interested in the field 31 00:02:04,800 --> 00:02:08,880 Speaker 1: of technology. My father worked at Ford and he came 32 00:02:08,919 --> 00:02:11,679 Speaker 1: home one day and said, there are gonna be a 33 00:02:11,760 --> 00:02:16,800 Speaker 1: hundreds of computers in cars in the future. And I 34 00:02:16,840 --> 00:02:18,920 Speaker 1: didn't even know what a computer was, so it was 35 00:02:19,200 --> 00:02:21,840 Speaker 1: it sounded pretty fascinating, and so I asked him a 36 00:02:21,840 --> 00:02:24,560 Speaker 1: little more about what was so special about a computer, 37 00:02:25,560 --> 00:02:27,840 Speaker 1: and so he made it very personal and said, well, 38 00:02:28,600 --> 00:02:30,799 Speaker 1: someday it's actually going to be able to do your 39 00:02:30,840 --> 00:02:34,280 Speaker 1: homework for you. And at that point hooked. So I've 40 00:02:34,280 --> 00:02:36,560 Speaker 1: got something that I don't have to do it someone 41 00:02:36,639 --> 00:02:38,840 Speaker 1: else is going to do it. Of course, we may 42 00:02:38,919 --> 00:02:42,520 Speaker 1: get into that about how far away your your general 43 00:02:42,560 --> 00:02:46,000 Speaker 1: intelligence and your ability of computers to do your homework fully, 44 00:02:46,040 --> 00:02:48,480 Speaker 1: But that was the day I think I remember getting 45 00:02:48,520 --> 00:02:51,880 Speaker 1: hooked on this while your father was very forward thinking, 46 00:02:51,919 --> 00:02:54,520 Speaker 1: because I think the average car now has between fifty 47 00:02:54,520 --> 00:02:57,520 Speaker 1: and a hundred fifty CPUs and it so right on 48 00:02:57,560 --> 00:03:01,320 Speaker 1: the money. Well, what was your first job in the field. 49 00:03:02,440 --> 00:03:05,359 Speaker 1: I started as a programmer at a bank, and I 50 00:03:05,400 --> 00:03:09,760 Speaker 1: was able to do something applying programming to business problems 51 00:03:09,880 --> 00:03:13,400 Speaker 1: versus in school. You were pretty much solving kind of 52 00:03:13,400 --> 00:03:18,240 Speaker 1: scientific and mathematical problems, and I found that pretty interesting. 53 00:03:18,680 --> 00:03:22,480 Speaker 1: That's something that resonates with me, the idea of taking 54 00:03:23,000 --> 00:03:26,200 Speaker 1: stuff you have learned through your academic experience and then 55 00:03:26,240 --> 00:03:30,000 Speaker 1: applying it to real world situations. Skipping far enough ahead, 56 00:03:30,520 --> 00:03:33,440 Speaker 1: when did you join the team of Nasdaq? When did 57 00:03:33,480 --> 00:03:36,880 Speaker 1: that actually happen and what was your initial role? Well, 58 00:03:36,920 --> 00:03:39,280 Speaker 1: I joined in two thousand thirteen, right at the beginning 59 00:03:39,320 --> 00:03:41,280 Speaker 1: of the year. I would say the same role that 60 00:03:41,320 --> 00:03:44,640 Speaker 1: I have today, although our company has changed, so my 61 00:03:44,760 --> 00:03:49,160 Speaker 1: role in leading technology is ever changing. I was recruited 62 00:03:49,520 --> 00:03:52,800 Speaker 1: to New York City and really think about the future 63 00:03:52,800 --> 00:03:56,480 Speaker 1: of NASDAC and help form the strategy and and move 64 00:03:56,680 --> 00:04:01,320 Speaker 1: more towards a technology oriented company. Verse is the heritage 65 00:04:01,360 --> 00:04:06,280 Speaker 1: of a financial services exchange that that applied technology, which 66 00:04:06,640 --> 00:04:09,400 Speaker 1: really was the seed of of NAZZAC. It's spent fifty 67 00:04:09,480 --> 00:04:13,720 Speaker 1: years now, so we celebrate our fiftieth anniversary. That's incredible. 68 00:04:13,760 --> 00:04:15,720 Speaker 1: And to be brought in right at the beginning of 69 00:04:15,760 --> 00:04:20,120 Speaker 1: something so transformational, I'm sure that was really exciting. And 70 00:04:20,520 --> 00:04:23,080 Speaker 1: you oversee roles of of c I O and c 71 00:04:23,360 --> 00:04:27,800 Speaker 1: t O. Do those roles intertwined pretty naturally or do 72 00:04:27,880 --> 00:04:31,920 Speaker 1: you find it it's more compartmentalized that you're It's very 73 00:04:32,000 --> 00:04:34,440 Speaker 1: much holistic. And I would say my last two roles 74 00:04:35,240 --> 00:04:37,960 Speaker 1: I was both c I O and CTO. I came 75 00:04:38,000 --> 00:04:41,719 Speaker 1: from Schwab where I had both. And if you think 76 00:04:41,760 --> 00:04:44,920 Speaker 1: about the c I O role at NAZZAC, we run 77 00:04:45,000 --> 00:04:49,599 Speaker 1: all the technology for ourselves and that includes the traditional 78 00:04:49,640 --> 00:04:52,400 Speaker 1: c I O role that is technology used by employees, 79 00:04:53,120 --> 00:04:56,800 Speaker 1: whereas the CTO is building the technology sell to customers. 80 00:04:57,480 --> 00:05:00,280 Speaker 1: But we have a huge amount of technology that is 81 00:05:00,480 --> 00:05:04,800 Speaker 1: above and beyond any normal technologies supplied employees. But for 82 00:05:04,839 --> 00:05:09,640 Speaker 1: our exchanges in North America and and in Europe, so 83 00:05:09,760 --> 00:05:11,760 Speaker 1: you think about that. In a lot of companies they 84 00:05:11,760 --> 00:05:15,040 Speaker 1: are not intertwined very much. In NASDAC, it is an 85 00:05:15,040 --> 00:05:19,120 Speaker 1: intertwined C I O CTO role and the lines blur 86 00:05:19,320 --> 00:05:22,880 Speaker 1: quite a bit. How do you describe your role to somebody. 87 00:05:22,920 --> 00:05:25,599 Speaker 1: Let's say you're at a cocktail party and someone says, so, 88 00:05:25,640 --> 00:05:28,839 Speaker 1: what do you do? Well, I swim laps to work out, 89 00:05:29,000 --> 00:05:31,080 Speaker 1: So if if I'm going to be cold and need 90 00:05:31,080 --> 00:05:33,760 Speaker 1: to start swimming again, I'll just say I run technology 91 00:05:33,760 --> 00:05:36,520 Speaker 1: at NASDAC. So I wouldn't do that to you, But 92 00:05:36,600 --> 00:05:38,880 Speaker 1: if I'm in a pool, that's my quick answer, and 93 00:05:39,000 --> 00:05:41,160 Speaker 1: they usually try and stop me to say what does 94 00:05:41,200 --> 00:05:43,880 Speaker 1: that mean? And if they don't, then I know they're 95 00:05:43,920 --> 00:05:47,120 Speaker 1: not interested and that was sufficient. But I would say 96 00:05:47,160 --> 00:05:50,640 Speaker 1: that the role that I play, obviously is a leadership one. 97 00:05:51,080 --> 00:05:54,719 Speaker 1: It's really important to communicate with the other leaders of 98 00:05:54,760 --> 00:05:59,080 Speaker 1: the business. What are the implications of technology trends and 99 00:05:59,160 --> 00:06:04,640 Speaker 1: specifically disruptive technologies that might offer us, first an opportunity, 100 00:06:04,720 --> 00:06:07,680 Speaker 1: So where can we spot something that we think is 101 00:06:07,720 --> 00:06:10,440 Speaker 1: going to emerge and surprise everyone at the pace that 102 00:06:10,520 --> 00:06:14,080 Speaker 1: it comes because of the nature of the technology, but 103 00:06:14,200 --> 00:06:18,720 Speaker 1: also be on the lookout for disruptive technologies that could 104 00:06:18,920 --> 00:06:22,000 Speaker 1: disrupt our businesses. There's both sides of it. There's the 105 00:06:22,040 --> 00:06:25,280 Speaker 1: positive and there's the negative. And if you're looking out 106 00:06:25,320 --> 00:06:28,200 Speaker 1: close enough and tuning to all the things that are 107 00:06:28,200 --> 00:06:31,120 Speaker 1: going on in the world, which of which there are many, 108 00:06:31,240 --> 00:06:33,760 Speaker 1: you can distill it down to a list of about 109 00:06:33,800 --> 00:06:39,440 Speaker 1: a dozen technologies that create opportunity or risk for your business. 110 00:06:39,960 --> 00:06:42,360 Speaker 1: I think our team is pretty well versed at this 111 00:06:42,400 --> 00:06:45,760 Speaker 1: point after hanging out for eight years. I think we've 112 00:06:45,800 --> 00:06:50,000 Speaker 1: tuned into in most cases the right trends and then 113 00:06:50,240 --> 00:06:53,600 Speaker 1: positioned ourselves well to improve our business and certainly keep 114 00:06:53,640 --> 00:06:58,760 Speaker 1: our business vibrant and alive and modern. Speaking of your team, 115 00:06:58,839 --> 00:07:01,880 Speaker 1: how big is your partment? How many people do you manage? 116 00:07:02,680 --> 00:07:05,640 Speaker 1: So we're over two thousand, two thousand sixty four to 117 00:07:05,720 --> 00:07:11,040 Speaker 1: be exact, and the company is just about We are 118 00:07:11,080 --> 00:07:14,600 Speaker 1: not quite half, but I would say given our strategy 119 00:07:14,600 --> 00:07:18,960 Speaker 1: and our trajectory, the technology organization will become more than 120 00:07:19,000 --> 00:07:21,800 Speaker 1: half the company in the long run. A lot of 121 00:07:21,800 --> 00:07:25,200 Speaker 1: companies like to claim that they are technology companies. So 122 00:07:25,280 --> 00:07:27,240 Speaker 1: I like to look at a couple of things. One is, 123 00:07:27,640 --> 00:07:30,400 Speaker 1: do you sell technology to customers? Do they actually pay 124 00:07:30,440 --> 00:07:33,880 Speaker 1: you for technology, and we check the box there. So 125 00:07:33,920 --> 00:07:37,280 Speaker 1: we are the number one provider of technology to other 126 00:07:37,360 --> 00:07:42,200 Speaker 1: exchanges and corporations with our corporate platforms. And then it's 127 00:07:42,320 --> 00:07:46,680 Speaker 1: what percentage of your workforce are technologists? And there I 128 00:07:46,720 --> 00:07:51,320 Speaker 1: think usually if if you're over fifty, it's another clear 129 00:07:51,440 --> 00:07:53,920 Speaker 1: check the box. So we're close on that front and 130 00:07:54,000 --> 00:07:58,800 Speaker 1: clearly qualifying the other. Well, you've you've touched on something 131 00:07:58,800 --> 00:08:00,520 Speaker 1: that I want to know a little or about. I 132 00:08:00,520 --> 00:08:03,960 Speaker 1: think a lot of people when they think of NASDAK 133 00:08:04,080 --> 00:08:06,680 Speaker 1: might think of it as quote unquote just a stock 134 00:08:06,760 --> 00:08:11,440 Speaker 1: market where you know a lot of trading activity happens. 135 00:08:11,440 --> 00:08:14,400 Speaker 1: But how would you describe what NASDAK is and what 136 00:08:14,520 --> 00:08:19,280 Speaker 1: it does to kind of clear away that misconception. I'm 137 00:08:19,280 --> 00:08:21,520 Speaker 1: going to give you an answer I've never given before, 138 00:08:21,840 --> 00:08:25,480 Speaker 1: so you get some unique content here if you unpack 139 00:08:25,600 --> 00:08:29,880 Speaker 1: what NAZDAC does stand for. Did Originally it's the National 140 00:08:29,920 --> 00:08:34,960 Speaker 1: Association of Securities Dealers Automated Quotation System. We are not 141 00:08:35,040 --> 00:08:39,439 Speaker 1: that anymore. We're now a global company and automated quotation 142 00:08:39,520 --> 00:08:42,520 Speaker 1: system is very limiting. We do a lot more than 143 00:08:42,600 --> 00:08:47,160 Speaker 1: just automated quotations. We absolutely do run markets as you mentioned, 144 00:08:47,240 --> 00:08:51,680 Speaker 1: and they trade. We have clearing system we have surveillance systems, 145 00:08:51,720 --> 00:08:55,840 Speaker 1: and we have recently purchased an anti financial crime company. 146 00:08:56,200 --> 00:08:59,200 Speaker 1: When I do answer the question, now, I first start 147 00:08:59,280 --> 00:09:02,920 Speaker 1: with the NAS a market that everyone knows and gives 148 00:09:03,000 --> 00:09:06,679 Speaker 1: us so much brand awareness and prominence every day on TV. 149 00:09:07,559 --> 00:09:10,480 Speaker 1: It is that and it's a great business, but it 150 00:09:10,640 --> 00:09:15,560 Speaker 1: is also corporate platforms. We provide governance solutions for companies 151 00:09:15,600 --> 00:09:18,120 Speaker 1: to run their board meetings. We have tools for the 152 00:09:18,240 --> 00:09:22,360 Speaker 1: investor relations officer. So when a company goes public, there's 153 00:09:22,360 --> 00:09:23,920 Speaker 1: a lot of things they have to do quickly to 154 00:09:23,960 --> 00:09:27,760 Speaker 1: go from adolescents to adulthood. We've been asked what are 155 00:09:27,800 --> 00:09:30,800 Speaker 1: the best tools, so we decide why not provide them ourselves. 156 00:09:31,520 --> 00:09:35,680 Speaker 1: And then E s G. Environment, Social and governance is 157 00:09:35,720 --> 00:09:38,920 Speaker 1: a big new trend. We see a role of expanding 158 00:09:38,920 --> 00:09:43,720 Speaker 1: our corporate platforms into helping companies really up their game 159 00:09:43,760 --> 00:09:48,080 Speaker 1: in terms of e s G. Awareness and communication, and 160 00:09:48,120 --> 00:09:53,240 Speaker 1: then investor intelligence. Within that is our index business, which 161 00:09:53,280 --> 00:09:55,959 Speaker 1: is a phenomenal business in its own outright. And then 162 00:09:56,000 --> 00:09:58,760 Speaker 1: the final one is market technology. We're in a unique 163 00:09:58,760 --> 00:10:02,080 Speaker 1: position because we run our own exchanges in the Nordics 164 00:10:02,120 --> 00:10:05,800 Speaker 1: and the us, so we get great depth of understanding 165 00:10:05,920 --> 00:10:09,760 Speaker 1: what it takes to run a market reliably with capacity, 166 00:10:09,800 --> 00:10:14,400 Speaker 1: with security and performance, and we're able to sell to 167 00:10:15,120 --> 00:10:18,880 Speaker 1: folks that traditionally in an industry might be your competitors, 168 00:10:18,880 --> 00:10:24,319 Speaker 1: but because exchanges in capital markets are geographically franchised, we're 169 00:10:24,400 --> 00:10:28,720 Speaker 1: able to be a provider without the normal worries that 170 00:10:28,760 --> 00:10:31,560 Speaker 1: you might be doing business with a competitor. It's quite 171 00:10:31,559 --> 00:10:33,760 Speaker 1: a unique business and we're the leader by far in 172 00:10:33,800 --> 00:10:37,080 Speaker 1: that business. We call it market infrastructure Operators, where we 173 00:10:37,120 --> 00:10:41,440 Speaker 1: will sell them our trade and clearing, surveillance, risk management systems. 174 00:10:42,080 --> 00:10:46,240 Speaker 1: I very much appreciated that Brad demystified NASDAC for me, 175 00:10:46,640 --> 00:10:49,040 Speaker 1: giving me a clearer picture as to the role of 176 00:10:49,040 --> 00:10:52,560 Speaker 1: the organization plays. With that established, I felt it was 177 00:10:52,600 --> 00:10:56,240 Speaker 1: time to dive into learning more about Brad's approach to leadership, 178 00:10:56,600 --> 00:10:59,000 Speaker 1: and one thing I really wanted to know was how 179 00:10:59,080 --> 00:11:03,000 Speaker 1: is journey through different industries informed his approach to leadership 180 00:11:03,000 --> 00:11:06,440 Speaker 1: in MAZDAC. Yeah, I would say in hindsight that has 181 00:11:06,520 --> 00:11:09,920 Speaker 1: been one of the best experiences. I didn't design it 182 00:11:09,960 --> 00:11:13,800 Speaker 1: that way, but just this opportunity to work in financial services, 183 00:11:14,360 --> 00:11:19,720 Speaker 1: in telecommunications and any commerce everyone. I learned something along 184 00:11:19,720 --> 00:11:23,839 Speaker 1: the way. It really started in telecommunications. I observed they 185 00:11:23,840 --> 00:11:27,840 Speaker 1: were implementing something called Signaling System seven, which was a 186 00:11:28,040 --> 00:11:32,520 Speaker 1: out of band control network that really flattened the whole 187 00:11:32,559 --> 00:11:36,000 Speaker 1: telcom network itself. So I took that away from my 188 00:11:36,120 --> 00:11:40,200 Speaker 1: first job and saying, that's a brilliant architecture. So every 189 00:11:40,240 --> 00:11:44,720 Speaker 1: industry has provided me with a view into a unique 190 00:11:44,800 --> 00:11:49,199 Speaker 1: architecture that I have looked for in the new industries 191 00:11:49,960 --> 00:11:53,959 Speaker 1: is this applicable? And certainly out of band signaling and 192 00:11:54,040 --> 00:11:57,680 Speaker 1: control is very much a buzzword today of observe ability, 193 00:11:57,760 --> 00:12:00,880 Speaker 1: and in telcom it was telemetry. But that is how 194 00:12:00,880 --> 00:12:05,360 Speaker 1: you understand today what sas products where your uptake is 195 00:12:05,640 --> 00:12:08,959 Speaker 1: how you can improve your product. The full improvement cycle 196 00:12:09,320 --> 00:12:12,680 Speaker 1: is really this notion of instrumenting. You know what's happening. 197 00:12:12,800 --> 00:12:18,439 Speaker 1: And fortunately modern sas products lend themselves towards incredible instrumentation 198 00:12:18,520 --> 00:12:21,679 Speaker 1: and data about what's what's really happening real time and 199 00:12:21,760 --> 00:12:25,280 Speaker 1: gives you a chance to recover so versus a physical product. 200 00:12:25,920 --> 00:12:30,640 Speaker 1: And then at eBay, what's interesting is if you think 201 00:12:30,640 --> 00:12:35,439 Speaker 1: about shopping, you're consuming huge amounts of product information just visually, 202 00:12:35,600 --> 00:12:38,839 Speaker 1: and then periodically you'll stop in your brows and pick something, 203 00:12:38,960 --> 00:12:41,559 Speaker 1: compare and and buy it. So if you think about 204 00:12:41,600 --> 00:12:45,400 Speaker 1: the asymmetry to the amount of products you look at 205 00:12:45,800 --> 00:12:49,360 Speaker 1: to the transactions, the architecture that I was exposed to 206 00:12:49,440 --> 00:12:54,160 Speaker 1: an eBay was about massive amounts of simulation of someone 207 00:12:54,200 --> 00:12:57,080 Speaker 1: browsing if you will, they're kind of virtually walking and 208 00:12:57,120 --> 00:13:01,720 Speaker 1: shopping to the transactions when they actually buy. So we 209 00:13:01,800 --> 00:13:05,080 Speaker 1: had this massive read infrastructure, and it brought on the 210 00:13:05,120 --> 00:13:08,200 Speaker 1: advent of a big data. Really it was some of 211 00:13:08,200 --> 00:13:13,640 Speaker 1: the early applications. It's amazing hearing these experiences you had 212 00:13:13,679 --> 00:13:19,520 Speaker 1: as various transformational technologies were starting to emerge and mature. 213 00:13:20,320 --> 00:13:22,840 Speaker 1: I love that. That also leads me to the next question, 214 00:13:22,880 --> 00:13:27,479 Speaker 1: which is that you've worked in cutting edge technology companies 215 00:13:27,480 --> 00:13:30,520 Speaker 1: and industries, you've worked in finance. What is it about 216 00:13:30,559 --> 00:13:34,240 Speaker 1: these sorts of jobs that really appeals to you. Well, 217 00:13:34,240 --> 00:13:36,880 Speaker 1: there is an attraction. So I did get some advice 218 00:13:37,559 --> 00:13:40,840 Speaker 1: early on that the industry you pick has more to 219 00:13:40,920 --> 00:13:44,800 Speaker 1: do with your your outcome and quality of life than 220 00:13:44,840 --> 00:13:48,439 Speaker 1: what you do with that industry. So I married that 221 00:13:48,600 --> 00:13:51,640 Speaker 1: was something I also learned at the time called positive 222 00:13:51,679 --> 00:13:56,640 Speaker 1: network externalities in economics and it's been shortened to networks effects. 223 00:13:57,000 --> 00:14:01,000 Speaker 1: So I'm very much attracted to industries where networks effects 224 00:14:01,559 --> 00:14:05,439 Speaker 1: are in play. And you know, simply it's something becomes 225 00:14:05,480 --> 00:14:09,080 Speaker 1: more valuable the more people are on the network if 226 00:14:09,120 --> 00:14:12,800 Speaker 1: you will or are connected via that product or service. 227 00:14:13,600 --> 00:14:17,720 Speaker 1: eBay was one of the grandest examples of it. So 228 00:14:17,760 --> 00:14:21,160 Speaker 1: I would say I do look for companies that do 229 00:14:21,320 --> 00:14:30,200 Speaker 1: have some network's effects attributes in their business model. If 230 00:14:30,240 --> 00:14:33,320 Speaker 1: there's one thing most businesses can agree on these days, 231 00:14:33,600 --> 00:14:36,720 Speaker 1: it's that change has never come about so quickly. New 232 00:14:36,720 --> 00:14:39,800 Speaker 1: ways of working have become the norm. As a result, 233 00:14:40,080 --> 00:14:42,400 Speaker 1: the status quo no longer cuts it when it comes 234 00:14:42,440 --> 00:14:45,880 Speaker 1: to helping businesses adapt and innovate. That's why T Mobile 235 00:14:45,920 --> 00:14:50,360 Speaker 1: for Business uses unconventional thinking to help businesses work smarter 236 00:14:50,520 --> 00:14:54,640 Speaker 1: and grow faster. Only T Mobile offers America's largest and 237 00:14:54,760 --> 00:14:58,440 Speaker 1: fastest five gene network. It's just one reason they're better 238 00:14:58,480 --> 00:15:01,320 Speaker 1: able to help businesses solve the real world challenges they 239 00:15:01,360 --> 00:15:06,040 Speaker 1: face as they evolve. For instance, their new WFX solutions 240 00:15:06,320 --> 00:15:10,160 Speaker 1: help team members stay connected and productive where work happens. 241 00:15:10,720 --> 00:15:13,040 Speaker 1: With nearly two and a half times the network coverage 242 00:15:13,040 --> 00:15:15,520 Speaker 1: of a T and T nearly four times more than 243 00:15:15,640 --> 00:15:19,560 Speaker 1: Verizon and forty billion dollars invested in network and business 244 00:15:19,640 --> 00:15:23,280 Speaker 1: improvements over the next three years. T Mobile for Business 245 00:15:23,400 --> 00:15:26,920 Speaker 1: is better for your business right now and into the future. 246 00:15:27,360 --> 00:15:29,880 Speaker 1: See what they can do for your organization at T 247 00:15:30,080 --> 00:15:34,040 Speaker 1: mobile dot com. Slash Unconventional Open Signal awarded T mobile 248 00:15:34,040 --> 00:15:36,480 Speaker 1: fastest five G network based on average speeds. USA five 249 00:15:36,520 --> 00:15:40,040 Speaker 1: G User Experience Report January. Capable device required coverage not 250 00:15:40,120 --> 00:15:42,520 Speaker 1: available in some areas. Some users may require certain planner 251 00:15:42,520 --> 00:15:54,840 Speaker 1: feature see T mobile dot com. As Brad pointed out, 252 00:15:55,080 --> 00:15:59,200 Speaker 1: the network effect describes an organization that increases in value 253 00:15:59,400 --> 00:16:03,200 Speaker 1: as you add more people to that network. Organizations that 254 00:16:03,280 --> 00:16:06,440 Speaker 1: benefit from the network effect have more opportunities to create 255 00:16:06,440 --> 00:16:11,160 Speaker 1: products internally and externally that can have an exponentially powerful 256 00:16:11,240 --> 00:16:15,240 Speaker 1: impact as the network grows, and so Brad's experiences and 257 00:16:15,360 --> 00:16:19,200 Speaker 1: industries that have that network effect clearly played a part 258 00:16:19,280 --> 00:16:22,920 Speaker 1: in guiding his career. I wanted to shift the conversation 259 00:16:22,960 --> 00:16:26,560 Speaker 1: over to emerging technologies, and as you all know, I'm 260 00:16:26,600 --> 00:16:32,000 Speaker 1: fascinated by the seemingly limitless applications of five G connectivity. 261 00:16:32,040 --> 00:16:34,320 Speaker 1: I also knew that Brad had once said at a 262 00:16:34,360 --> 00:16:38,960 Speaker 1: conference that while the high throughput of five G is amazing. 263 00:16:39,360 --> 00:16:43,200 Speaker 1: What he was personally excited about was the low latency 264 00:16:43,400 --> 00:16:46,320 Speaker 1: associated with five G. I asked him if he could 265 00:16:46,320 --> 00:16:50,400 Speaker 1: expand upon that. Sure, We in NAZDAC, most of our 266 00:16:50,440 --> 00:16:54,720 Speaker 1: trading is machine to machine. We're counting in single microseconds, 267 00:16:55,440 --> 00:16:59,120 Speaker 1: and when I look at wireless and human response time 268 00:16:59,280 --> 00:17:03,360 Speaker 1: is you know, hundred to three hundred milliseconds. The newer 269 00:17:03,600 --> 00:17:06,320 Speaker 1: five G and even some of the optimizations of four 270 00:17:06,400 --> 00:17:10,520 Speaker 1: G right now are getting down to twenty milliseconds. So 271 00:17:10,600 --> 00:17:13,439 Speaker 1: if if you can get down to the single digit 272 00:17:14,160 --> 00:17:20,919 Speaker 1: millisecond latency and you can improve the determinism and the reliability, 273 00:17:21,000 --> 00:17:23,000 Speaker 1: all of a sudden, it opens up the door for 274 00:17:23,040 --> 00:17:26,960 Speaker 1: a brand new set of machine to machine applications. And 275 00:17:27,440 --> 00:17:32,320 Speaker 1: I think that is first of all, incredibly exciting because 276 00:17:32,359 --> 00:17:34,360 Speaker 1: I don't even know what they are. I could posit 277 00:17:34,440 --> 00:17:36,960 Speaker 1: what they're up, I would be wrong. But there's going 278 00:17:37,000 --> 00:17:39,439 Speaker 1: to be something that emerges and we go, this is 279 00:17:39,480 --> 00:17:42,000 Speaker 1: wonderful um that we can do that. It's a machine 280 00:17:42,040 --> 00:17:46,320 Speaker 1: to machine and then it's married with edge compute. And 281 00:17:46,359 --> 00:17:49,680 Speaker 1: what you're seeing is the major cloud providers are extending 282 00:17:49,720 --> 00:17:54,119 Speaker 1: their cloud infrastructure. They're doing deals with the telecom providers. 283 00:17:54,280 --> 00:17:58,480 Speaker 1: It also may play into self driving cars or other 284 00:17:59,280 --> 00:18:03,879 Speaker 1: communication and with localized infrastructure that now is enabled with 285 00:18:03,920 --> 00:18:08,600 Speaker 1: communications capability that you can just think about new ways 286 00:18:08,680 --> 00:18:12,919 Speaker 1: of dynamically pricing them. So that's why when I first 287 00:18:13,560 --> 00:18:18,879 Speaker 1: thought about the lower latency and reliability coupled with the 288 00:18:18,920 --> 00:18:23,880 Speaker 1: greater capacity of of five GUM started my my creative 289 00:18:23,960 --> 00:18:26,480 Speaker 1: juices going, I think there's a big new industry in 290 00:18:26,520 --> 00:18:30,400 Speaker 1: there somewhere. I couldn't agree more. I always look at 291 00:18:30,640 --> 00:18:34,119 Speaker 1: at certain developments and technology as being kind of a 292 00:18:34,160 --> 00:18:39,679 Speaker 1: seesaw where you'll see one side of technology make sudden 293 00:18:39,800 --> 00:18:42,520 Speaker 1: improvements and leave another side of it behind, and then 294 00:18:42,560 --> 00:18:47,480 Speaker 1: eventually there becomes a rebalancing, and the emergence of five 295 00:18:47,520 --> 00:18:49,320 Speaker 1: g to me, is one of those where you say, oh, 296 00:18:49,359 --> 00:18:51,199 Speaker 1: the thing that used to be the bottleneck is no 297 00:18:51,280 --> 00:18:53,840 Speaker 1: longer a bottleneck, and now all the things that you 298 00:18:53,880 --> 00:18:56,960 Speaker 1: wish you could have done with that technology but you 299 00:18:57,000 --> 00:19:01,399 Speaker 1: were limited because of those barriers there no longer an issue. 300 00:19:01,440 --> 00:19:03,960 Speaker 1: So now now what is standing in your way? I 301 00:19:04,000 --> 00:19:07,119 Speaker 1: remember when I first started hearing the phrase Internet of things, 302 00:19:07,800 --> 00:19:09,960 Speaker 1: and it didn't really mean anything to me, And now 303 00:19:10,000 --> 00:19:13,000 Speaker 1: we live in a world where billions of devices are 304 00:19:13,040 --> 00:19:16,639 Speaker 1: connected to networks. What's your view of Internet things as 305 00:19:16,680 --> 00:19:20,000 Speaker 1: an emerging technology? Are there ways that you're eager to 306 00:19:20,880 --> 00:19:26,160 Speaker 1: leverage IoT in what you do? Yes, Where we specifically 307 00:19:26,160 --> 00:19:29,760 Speaker 1: would apply it at NASDAC is this notion of anything 308 00:19:29,800 --> 00:19:33,959 Speaker 1: that is statically priced that should be dynamically priced. So 309 00:19:34,000 --> 00:19:37,040 Speaker 1: we we because we're in the market's business, if you will, 310 00:19:37,119 --> 00:19:40,320 Speaker 1: we start to see everything in terms of a market. 311 00:19:41,119 --> 00:19:44,520 Speaker 1: And what if you had better resource allocation, because you 312 00:19:44,560 --> 00:19:48,720 Speaker 1: could run a mini market and and allocate those resources 313 00:19:48,760 --> 00:19:51,320 Speaker 1: in a different way. And however you want to design 314 00:19:51,359 --> 00:19:53,720 Speaker 1: that market. You know, whatever what is the market structure 315 00:19:53,760 --> 00:19:57,159 Speaker 1: of it could yield the outcome. But that's where IoT 316 00:19:57,320 --> 00:20:00,520 Speaker 1: fits in. That's where the five G low latent machine 317 00:20:00,560 --> 00:20:03,760 Speaker 1: to machine fits in. Where you might not even know 318 00:20:03,800 --> 00:20:06,439 Speaker 1: that a market was run, that you put out a 319 00:20:06,520 --> 00:20:11,000 Speaker 1: bid for something and it happens, the market crosses, it 320 00:20:11,600 --> 00:20:15,320 Speaker 1: fulfills at the right price, and you haven't even used 321 00:20:15,400 --> 00:20:19,520 Speaker 1: up your think time yet. So building applications like that, 322 00:20:19,600 --> 00:20:22,199 Speaker 1: And the simplest one is, let's just go to New 323 00:20:22,280 --> 00:20:25,560 Speaker 1: York City around Madison Square Garden when there's an event there, 324 00:20:25,600 --> 00:20:31,280 Speaker 1: a concert, the parking should be more expensively closer in 325 00:20:31,400 --> 00:20:34,679 Speaker 1: you are and less the further out you are. But 326 00:20:34,800 --> 00:20:39,119 Speaker 1: it's it's statically priced, or it's starting to become dynamically priced. 327 00:20:39,119 --> 00:20:42,120 Speaker 1: But but that's just a great example of if if 328 00:20:42,119 --> 00:20:46,399 Speaker 1: the car and the parking space can mediate, and you 329 00:20:46,520 --> 00:20:49,680 Speaker 1: then get directed to that parking space and you accept 330 00:20:49,840 --> 00:20:52,520 Speaker 1: your you've given your car a limit order if you will, 331 00:20:52,560 --> 00:20:55,479 Speaker 1: and it accepts on your behalf, so you're you're not 332 00:20:55,520 --> 00:20:58,439 Speaker 1: even in the loop, and you're you know, wow, I 333 00:20:58,480 --> 00:21:00,640 Speaker 1: had to park three blocks of way when I went 334 00:21:00,680 --> 00:21:03,520 Speaker 1: to the last concert and two blocks away this time, 335 00:21:04,200 --> 00:21:07,280 Speaker 1: and I gave it a fifteen dollar you know, limit order. 336 00:21:07,480 --> 00:21:11,680 Speaker 1: That's pretty cool. So all those things huge productivity, left 337 00:21:11,960 --> 00:21:18,119 Speaker 1: huge revenue opportunity for UM. For you know, a city 338 00:21:18,160 --> 00:21:21,200 Speaker 1: like New York so so and and it's technology that's 339 00:21:21,240 --> 00:21:23,880 Speaker 1: here right, you could you could see that that happening. 340 00:21:24,240 --> 00:21:27,600 Speaker 1: So those kinds of things to me, UM, I get 341 00:21:27,600 --> 00:21:32,080 Speaker 1: really excited about running markets, building technology and and I 342 00:21:32,119 --> 00:21:35,919 Speaker 1: think micro markets UM is one of my favorite examples. 343 00:21:36,680 --> 00:21:39,320 Speaker 1: I actually really love that example too. It makes me 344 00:21:39,359 --> 00:21:43,119 Speaker 1: think of having a having a negotiation with my with 345 00:21:43,200 --> 00:21:45,960 Speaker 1: my app about how much I'm willing to pay for 346 00:21:46,000 --> 00:21:48,320 Speaker 1: the convenience of not having to walk too far to 347 00:21:48,320 --> 00:21:50,680 Speaker 1: get to a venue that speaks to be on a 348 00:21:50,800 --> 00:21:53,919 Speaker 1: very personal level. Or maybe content, you know, the media 349 00:21:54,000 --> 00:21:58,119 Speaker 1: content when you're confronted with something you haven't subscribed to 350 00:21:58,200 --> 00:22:01,119 Speaker 1: but you really want to read it, and there's a 351 00:22:01,160 --> 00:22:05,120 Speaker 1: micro market opportunity there as well. I come across things 352 00:22:05,119 --> 00:22:07,560 Speaker 1: all the time and in some cases I think I 353 00:22:07,600 --> 00:22:10,280 Speaker 1: would love to pay for this one specific piece of content, 354 00:22:10,640 --> 00:22:14,080 Speaker 1: but I don't really have that option. If there were 355 00:22:14,359 --> 00:22:18,920 Speaker 1: a more broad approach to this, then I would probably 356 00:22:18,960 --> 00:22:22,040 Speaker 1: be far more likely to go through those avenues and 357 00:22:22,240 --> 00:22:26,920 Speaker 1: my in my research, so that really speaks to me too. Well. 358 00:22:27,000 --> 00:22:30,120 Speaker 1: What would you say would be the most important technological 359 00:22:30,400 --> 00:22:35,280 Speaker 1: change in the last few years with regard to uh TO, 360 00:22:35,280 --> 00:22:38,960 Speaker 1: to the work at NASDAC Well, I would say we're 361 00:22:39,040 --> 00:22:45,439 Speaker 1: right now studying other companies like Stripe and Twilio and 362 00:22:45,640 --> 00:22:50,880 Speaker 1: this concept of innovation by combination, So you the building 363 00:22:50,960 --> 00:22:53,159 Speaker 1: blocks are there in terms of a P I S 364 00:22:54,160 --> 00:22:58,000 Speaker 1: and and just the acceleration of of of those companies 365 00:22:58,560 --> 00:23:01,400 Speaker 1: being able to go global and and I think Stripe 366 00:23:01,480 --> 00:23:04,480 Speaker 1: is quoted as saying they have over a million customers 367 00:23:04,520 --> 00:23:08,879 Speaker 1: just that incredible growth because they made their products so 368 00:23:08,960 --> 00:23:13,560 Speaker 1: consumable by engineers. So that trend of the engineer now 369 00:23:14,520 --> 00:23:18,399 Speaker 1: is the one that buys your product. So they integrated in, 370 00:23:18,560 --> 00:23:21,640 Speaker 1: they test it, they see that it works, and now 371 00:23:21,720 --> 00:23:25,480 Speaker 1: you have a business that starts to grow organically from 372 00:23:25,480 --> 00:23:30,080 Speaker 1: the build point when the engineer discovers it. We're decomposing 373 00:23:30,119 --> 00:23:33,240 Speaker 1: our markets to to be consumable a p I S 374 00:23:33,720 --> 00:23:36,400 Speaker 1: and then what we want to do is see who 375 00:23:36,480 --> 00:23:40,080 Speaker 1: who creatively finds uses for those So that kind of 376 00:23:40,080 --> 00:23:43,360 Speaker 1: comes back to I just think it's fascinating how that 377 00:23:43,920 --> 00:23:48,400 Speaker 1: has happened so quickly. Yeah, it really creates an opportunity 378 00:23:48,480 --> 00:23:52,360 Speaker 1: for collaboration. Well, then, who, in your opinion in tech 379 00:23:52,440 --> 00:23:55,280 Speaker 1: leadership is really killing it right now? Who are the 380 00:23:55,320 --> 00:23:57,560 Speaker 1: people you look to and you say, this person really 381 00:23:57,760 --> 00:24:03,560 Speaker 1: has their finger on the pulse of what is going on. Well, 382 00:24:03,600 --> 00:24:07,199 Speaker 1: I've been listening in clubhouse to Mark Andresen and I 383 00:24:07,240 --> 00:24:10,480 Speaker 1: do always learn something. Mark has incredible insight to what's 384 00:24:10,480 --> 00:24:13,120 Speaker 1: going on. Of course he's sitting right at the edge 385 00:24:13,160 --> 00:24:17,040 Speaker 1: of everyone that comes in, you know that's doing something interesting. 386 00:24:17,200 --> 00:24:19,360 Speaker 1: And then on the business side, I would say Patrick 387 00:24:19,400 --> 00:24:24,680 Speaker 1: Collison and his brother John at Stripe, So they they 388 00:24:24,680 --> 00:24:31,280 Speaker 1: are incredibly thoughtful people for especially for their age. I'm 389 00:24:31,320 --> 00:24:35,760 Speaker 1: just very impressed with how they're going about building their company, 390 00:24:35,880 --> 00:24:39,560 Speaker 1: how they're learning about, you know, problems in the world 391 00:24:39,600 --> 00:24:43,080 Speaker 1: and addressing them in a responsible way. So I just 392 00:24:43,119 --> 00:24:47,919 Speaker 1: think they're they're too outstanding. UM entrepreneurs who are who 393 00:24:47,960 --> 00:24:52,480 Speaker 1: are building a great company? Great answer. We've talked about 394 00:24:52,560 --> 00:24:55,840 Speaker 1: quite a few technologies so far. I found that people 395 00:24:55,960 --> 00:25:00,760 Speaker 1: can have misconceptions about some tech sometimes because the definitions 396 00:25:00,800 --> 00:25:04,760 Speaker 1: get ambiguous. I'm thinking about stuff like artificial intelligence or 397 00:25:04,800 --> 00:25:08,199 Speaker 1: machine learning. I'm curious, what do you see as the 398 00:25:08,280 --> 00:25:15,280 Speaker 1: most widely misunderstood technology, most misunderstood I would say probably 399 00:25:15,320 --> 00:25:20,359 Speaker 1: the whole crypto right now, and certainly what is unique 400 00:25:20,400 --> 00:25:24,760 Speaker 1: about all the different cryptocurrencies. So even with bitcoin, I 401 00:25:24,760 --> 00:25:28,560 Speaker 1: I always asked someone, did you read the paper, the 402 00:25:28,560 --> 00:25:32,560 Speaker 1: the original PDF that's on the internet. Um, that's nine 403 00:25:32,600 --> 00:25:38,240 Speaker 1: pages long, and no one almost no one says yes, 404 00:25:38,480 --> 00:25:41,439 Speaker 1: I've read it. So I always go go read it. 405 00:25:41,440 --> 00:25:44,160 Speaker 1: It's not bad, you know, and maybe you get down 406 00:25:44,200 --> 00:25:47,000 Speaker 1: to page five or six, and if you don't have 407 00:25:47,000 --> 00:25:51,120 Speaker 1: a technical background, it starts to to get difficult to understand. 408 00:25:51,160 --> 00:25:54,239 Speaker 1: But the first five pages are tremendous about what it is. 409 00:25:55,200 --> 00:25:59,199 Speaker 1: Then there's all these cryptocurrencies. I think algorand Is is 410 00:25:59,240 --> 00:26:02,520 Speaker 1: a great one. I up and to have studied that one, 411 00:26:02,680 --> 00:26:06,280 Speaker 1: and they're solving real problems the cost of the mining 412 00:26:06,440 --> 00:26:10,840 Speaker 1: and the block verification is brilliant, and then also trying 413 00:26:10,880 --> 00:26:14,800 Speaker 1: to solve the centralization of the mining in certain parts 414 00:26:14,840 --> 00:26:18,240 Speaker 1: of the world. So I think they have a real purpose. 415 00:26:18,520 --> 00:26:20,879 Speaker 1: So they've they've gone about it. And then some are 416 00:26:20,960 --> 00:26:24,920 Speaker 1: scalability and transaction rates, but a lot of them, um, 417 00:26:24,960 --> 00:26:27,000 Speaker 1: I think people are investing them and they have no 418 00:26:27,119 --> 00:26:31,600 Speaker 1: idea what what is the foundational if there is any 419 00:26:32,160 --> 00:26:36,320 Speaker 1: algorith and Bitcoin have an ethereum have some foundational unique 420 00:26:36,320 --> 00:26:40,400 Speaker 1: technology and attributes, most of the other ones don't. And 421 00:26:40,800 --> 00:26:43,840 Speaker 1: so I would say that to me still seems like 422 00:26:44,720 --> 00:26:47,560 Speaker 1: very misunderstood about what are the what are they trying 423 00:26:47,600 --> 00:26:51,639 Speaker 1: to accomplish. I agree. When one of the major ones 424 00:26:51,680 --> 00:26:55,840 Speaker 1: in the stories is literally a cryptocurrency that was created 425 00:26:55,880 --> 00:26:58,840 Speaker 1: as kind of a joke and is now having a 426 00:26:58,920 --> 00:27:03,600 Speaker 1: fairly imp us have run, you do start to wonder 427 00:27:03,640 --> 00:27:06,760 Speaker 1: how many people bothered to read Satoshi's paper back in 428 00:27:06,840 --> 00:27:09,840 Speaker 1: the day. So yeah, I think that you are right 429 00:27:09,880 --> 00:27:13,359 Speaker 1: on the money, so to speak with that one. So Brad, 430 00:27:13,680 --> 00:27:16,480 Speaker 1: we have time for just one more question. We all 431 00:27:16,520 --> 00:27:20,640 Speaker 1: know that money never sleeps, even when people make their 432 00:27:20,680 --> 00:27:23,960 Speaker 1: shut eye. What is it that keeps you up at night? 433 00:27:24,560 --> 00:27:26,640 Speaker 1: The answer for me what keeps me up at night 434 00:27:27,200 --> 00:27:31,159 Speaker 1: is a literal one because of the business we're in 435 00:27:31,320 --> 00:27:35,840 Speaker 1: and we're running critical infrastructure, and then also our customers 436 00:27:36,119 --> 00:27:40,159 Speaker 1: are using our technology to run their critical infrastructure. There's 437 00:27:40,200 --> 00:27:44,160 Speaker 1: always some customer that got their market hours around the world, 438 00:27:44,240 --> 00:27:46,480 Speaker 1: so even in the Middle East, they're running their markets 439 00:27:46,600 --> 00:27:49,680 Speaker 1: on Sundays and in Asia when I'm supposed to be sleeping, 440 00:27:50,280 --> 00:27:53,080 Speaker 1: that's daytime for them. It is oftentimes when I have 441 00:27:53,119 --> 00:27:56,479 Speaker 1: to respond to a crisis, but fortunately those are not 442 00:27:56,600 --> 00:28:00,720 Speaker 1: every night, otherwise I would not get any sleep. Thank 443 00:28:00,760 --> 00:28:04,600 Speaker 1: you so much for joining us. I greatly appreciate your 444 00:28:04,640 --> 00:28:07,800 Speaker 1: time and I've learned a lot just through this conversation, 445 00:28:07,880 --> 00:28:10,680 Speaker 1: so thank you well. I appreciate you having me, Jonathan 446 00:28:10,840 --> 00:28:20,280 Speaker 1: look forward to doing it again. What really struck me 447 00:28:20,359 --> 00:28:23,239 Speaker 1: in my conversation with Brad was how he takes an 448 00:28:23,280 --> 00:28:28,040 Speaker 1: almost free association approach to problem solving, using his experience 449 00:28:28,119 --> 00:28:31,480 Speaker 1: in one field to guide his point of view and approach. 450 00:28:31,560 --> 00:28:36,000 Speaker 1: In another it makes him extremely adaptable. He brings forward 451 00:28:36,040 --> 00:28:40,320 Speaker 1: solutions that might not seem obvious, but once applied, they 452 00:28:40,360 --> 00:28:43,520 Speaker 1: become the sort of thing that in hindsight seems like 453 00:28:43,560 --> 00:28:47,240 Speaker 1: it should have been obvious. It's really hard to spot 454 00:28:47,320 --> 00:28:51,680 Speaker 1: those solutions in advance, though. It's really the restless ones 455 00:28:51,720 --> 00:28:54,880 Speaker 1: who are able to take that kind of approach. I 456 00:28:54,920 --> 00:28:58,280 Speaker 1: feel that much of what we covered from leveraging software 457 00:28:58,320 --> 00:29:02,000 Speaker 1: as a service to other wild applications and beyond, and 458 00:29:02,040 --> 00:29:04,600 Speaker 1: of course how the benefits of five G are ripe 459 00:29:04,840 --> 00:29:08,600 Speaker 1: for new applications that can take advantage of low latency. 460 00:29:08,680 --> 00:29:12,200 Speaker 1: All of that has widespread applicability and it makes me 461 00:29:12,280 --> 00:29:16,760 Speaker 1: excited to see what's next. Join us for more conversations 462 00:29:16,760 --> 00:29:20,120 Speaker 1: with innovative leaders here on the Restless Ones. We'll be 463 00:29:20,160 --> 00:29:22,200 Speaker 1: speaking with more c I O s and c t 464 00:29:22,400 --> 00:29:25,760 Speaker 1: O s from different industries to hone in on the 465 00:29:25,840 --> 00:29:29,680 Speaker 1: skills and tech it takes to be a pioneer. See 466 00:29:29,720 --> 00:29:38,400 Speaker 1: you next time. These days, new ways of working have 467 00:29:38,480 --> 00:29:41,200 Speaker 1: become the norm, and the status quo no longer cuts 468 00:29:41,200 --> 00:29:43,720 Speaker 1: it when it comes to helping businesses evolve and grow. 469 00:29:44,320 --> 00:29:48,160 Speaker 1: That's why T Mobile for Business uses unconventional thinking to 470 00:29:48,240 --> 00:29:52,800 Speaker 1: help businesses sees innovation only. T Mobile offers America's largest 471 00:29:52,800 --> 00:29:56,560 Speaker 1: and fastest five gene network, which makes their new WFX 472 00:29:56,560 --> 00:30:01,760 Speaker 1: solutions possible, letting businesses stay connected and reductive where work happens. 473 00:30:02,160 --> 00:30:04,280 Speaker 1: See what T Mobile for Business can do for you 474 00:30:04,400 --> 00:30:08,320 Speaker 1: at t mobile dot com. Slash Unconventional Open Signal awarded. 475 00:30:08,360 --> 00:30:10,520 Speaker 1: T Mobile fastest five G network based on average speeds. 476 00:30:10,600 --> 00:30:14,280 Speaker 1: USA five G User Experience Report, January. Capable device required 477 00:30:14,280 --> 00:30:16,560 Speaker 1: coverage not available in some areas. Some users may require 478 00:30:16,560 --> 00:30:21,600 Speaker 1: certain plann or features see mobile dot com