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On this episode of NEWTS World, five G Technology? 17 00:01:03,000 --> 00:01:05,360 Speaker 1: What is it and how will it change our lives? 18 00:01:06,680 --> 00:01:10,240 Speaker 1: With five G, the speed of which data travels is 19 00:01:10,280 --> 00:01:13,920 Speaker 1: going to be dramatically faster. The data speeds will allow 20 00:01:14,040 --> 00:01:17,679 Speaker 1: us to develop new devices that function with edge computing 21 00:01:18,640 --> 00:01:21,400 Speaker 1: that will allow for devices to communicate with one another 22 00:01:21,760 --> 00:01:24,959 Speaker 1: as in the Internet of Things. And in the very 23 00:01:25,000 --> 00:01:30,280 Speaker 1: near future, autonomous vehicles will be driving around smart cities. 24 00:01:31,240 --> 00:01:33,600 Speaker 1: We are on the verge of a new and very 25 00:01:33,600 --> 00:01:38,200 Speaker 1: different future. Because it's so important, I have decided to 26 00:01:38,240 --> 00:01:41,679 Speaker 1: devote two episodes of News World to five G. In 27 00:01:41,800 --> 00:01:44,920 Speaker 1: Part one will tell you what five G is and 28 00:01:45,080 --> 00:01:47,280 Speaker 1: how it is going to impact all of our lives. 29 00:01:48,320 --> 00:01:51,360 Speaker 1: In Part two, we will cover the global race to 30 00:01:51,440 --> 00:01:56,240 Speaker 1: develop and deploy five G and the national security implications 31 00:01:56,280 --> 00:01:59,240 Speaker 1: that loom over US of the United States. Both the 32 00:01:59,320 --> 00:02:03,400 Speaker 1: government and the sector do not act quickly with clear 33 00:02:03,560 --> 00:02:08,760 Speaker 1: public policy direction and significant investment. I'm pleased to welcome 34 00:02:08,760 --> 00:02:13,160 Speaker 1: my guests Terry Hulverson, who is the Chief Information Officer 35 00:02:13,520 --> 00:02:18,560 Speaker 1: and executive vice president of Information Technology and Mobile Communications 36 00:02:18,560 --> 00:02:24,240 Speaker 1: at Samsung Electronics, and Major General Robert Wheeler, who spent 37 00:02:24,400 --> 00:02:28,200 Speaker 1: thirty two years in the US military, most recently as 38 00:02:28,240 --> 00:02:32,160 Speaker 1: the Deputy Department of Defense Chief Information Officer. To see 39 00:02:32,240 --> 00:02:44,000 Speaker 1: four an IIC at the pendegrade, Terry, what is five 40 00:02:44,080 --> 00:02:47,600 Speaker 1: G technology? How is it different from four G? What's 41 00:02:47,639 --> 00:02:50,760 Speaker 1: happened in the five G ecosystem is you've had a 42 00:02:50,840 --> 00:02:56,320 Speaker 1: convergence of technology changes. The first is what we're talking about. 43 00:02:56,360 --> 00:02:59,480 Speaker 1: It's the network. Five G networks can operate and move 44 00:02:59,639 --> 00:03:03,240 Speaker 1: data at about one gig per second. That's much faster 45 00:03:03,400 --> 00:03:06,720 Speaker 1: than the fog networks. You're going to do that in 46 00:03:06,960 --> 00:03:13,120 Speaker 1: latency that's about seven milliseconds. Seven milliseconds is very close 47 00:03:13,320 --> 00:03:17,240 Speaker 1: to real time. The third piece of this is data storage. 48 00:03:17,840 --> 00:03:22,239 Speaker 1: So today we've got systems that you know, maybe you 49 00:03:22,280 --> 00:03:25,720 Speaker 1: can store a petabyte at data. Tomorrow and I literally 50 00:03:25,800 --> 00:03:29,600 Speaker 1: mean tomorrow, we'll be able to store a terabyte of data. 51 00:03:30,360 --> 00:03:33,160 Speaker 1: That is an unbelievably large amount of data that you 52 00:03:33,280 --> 00:03:35,480 Speaker 1: have in your hands at the edge. You know, you 53 00:03:35,520 --> 00:03:37,520 Speaker 1: can put that to hands of a soldier or a fireman, 54 00:03:37,600 --> 00:03:39,880 Speaker 1: a doct or whatever. And now they've got that ability 55 00:03:39,920 --> 00:03:43,120 Speaker 1: to keep that kind of data. Samsung and other companies 56 00:03:43,200 --> 00:03:47,080 Speaker 1: have come out with a new storage chips. So today 57 00:03:47,680 --> 00:03:51,240 Speaker 1: we have Samsung has a three terabyte chip. You know, 58 00:03:51,280 --> 00:03:53,120 Speaker 1: you put a couple of those together, you could now 59 00:03:53,280 --> 00:03:57,920 Speaker 1: have you know, multiple terabytes of data available on the 60 00:03:58,120 --> 00:04:00,920 Speaker 1: edge in a vehicle, you know, in a small all clinic, 61 00:04:01,080 --> 00:04:05,440 Speaker 1: in a smart factory. All of that is really going 62 00:04:05,640 --> 00:04:09,440 Speaker 1: to let us take advantage of much more data. Most 63 00:04:09,560 --> 00:04:13,960 Speaker 1: data becomes what we call digital waste. So today, of 64 00:04:14,080 --> 00:04:17,600 Speaker 1: all the data that's collected, processed, and used. Really only 65 00:04:17,640 --> 00:04:20,760 Speaker 1: about twenty five percent of that is high value because 66 00:04:20,839 --> 00:04:22,840 Speaker 1: you can process it get it to a decision maker 67 00:04:23,600 --> 00:04:28,560 Speaker 1: in time to make a valuable or intelligent decision. Part 68 00:04:28,600 --> 00:04:31,280 Speaker 1: of it is the humans just can't process all of 69 00:04:31,360 --> 00:04:33,800 Speaker 1: that data that fast. So the other piece of this 70 00:04:33,920 --> 00:04:37,400 Speaker 1: puzzle is AI, which you can make the A stand 71 00:04:37,440 --> 00:04:40,040 Speaker 1: for artificial. You can make it stand for augmented. Pick 72 00:04:40,080 --> 00:04:43,279 Speaker 1: your A. I happen to like augmented, don't like artificial, 73 00:04:43,320 --> 00:04:45,480 Speaker 1: so we'll talk about augmented. What that's going to do 74 00:04:45,640 --> 00:04:49,680 Speaker 1: is the computer and the learning network is going to 75 00:04:49,880 --> 00:04:52,880 Speaker 1: actually be able to do analysis on big parts of 76 00:04:52,960 --> 00:04:56,359 Speaker 1: the data, sort it, analyze it, and present the human 77 00:04:56,440 --> 00:05:01,560 Speaker 1: decision maker intelligence or information. Is you usable data. It's 78 00:05:01,640 --> 00:05:04,640 Speaker 1: information that is presented in a format that allows you 79 00:05:04,760 --> 00:05:06,760 Speaker 1: to make a decision. We're going to be able to 80 00:05:06,880 --> 00:05:10,720 Speaker 1: do that on a much broader scope of data and 81 00:05:10,960 --> 00:05:14,039 Speaker 1: present it to the human using AI in a much 82 00:05:14,120 --> 00:05:17,599 Speaker 1: better format, removing some of what i'll call the lower 83 00:05:17,760 --> 00:05:19,960 Speaker 1: level intelligence tasks from a human having to do that 84 00:05:20,120 --> 00:05:23,160 Speaker 1: to the machine doing it. AI today can learn so 85 00:05:23,279 --> 00:05:26,400 Speaker 1: it we'll get better and better at doing that now 86 00:05:26,480 --> 00:05:29,560 Speaker 1: you've got the full piece, All the piece is solved. 87 00:05:29,839 --> 00:05:32,920 Speaker 1: You've got the data speeds and latency being developed and 88 00:05:33,080 --> 00:05:35,719 Speaker 1: delivered by a five G network. You've got the ability 89 00:05:35,800 --> 00:05:38,159 Speaker 1: to store data at the edge, which limits the amount 90 00:05:38,200 --> 00:05:39,840 Speaker 1: of data you actually have to pass back to a 91 00:05:39,920 --> 00:05:44,280 Speaker 1: central processing point. And you have AI augmented intelligence assisting 92 00:05:44,320 --> 00:05:47,239 Speaker 1: the human and getting through and sorting all of that data. 93 00:05:47,720 --> 00:05:50,960 Speaker 1: That's the revolution of the five G ecosystem. That's what's 94 00:05:51,000 --> 00:05:53,720 Speaker 1: really going to be powerful and is beginning to be 95 00:05:53,839 --> 00:05:57,560 Speaker 1: fieled today. As far as networking, what does five G 96 00:05:57,839 --> 00:06:00,920 Speaker 1: look like versus the four game world we live in now? 97 00:06:01,240 --> 00:06:05,400 Speaker 1: Four G uses these big cell towers today, and they're big, 98 00:06:05,480 --> 00:06:07,920 Speaker 1: they take up a space. A lot of neighborhoods don't 99 00:06:07,920 --> 00:06:10,640 Speaker 1: want them there. When five G becomes you vigorous, you 100 00:06:10,680 --> 00:06:13,080 Speaker 1: won't see those towers anymore. A matter of fact, what 101 00:06:13,320 --> 00:06:19,080 Speaker 1: you will probably see is nothing because the way the 102 00:06:19,200 --> 00:06:22,080 Speaker 1: five G is configured, you won't add the five G 103 00:06:22,839 --> 00:06:25,440 Speaker 1: antenna an auxiliary that can go right on a light 104 00:06:25,520 --> 00:06:27,440 Speaker 1: pole that's already out there. You go right on your 105 00:06:27,440 --> 00:06:30,880 Speaker 1: power light poles, you know, the light streets. You can 106 00:06:31,080 --> 00:06:34,160 Speaker 1: put the five gcpe right in a window it'll be 107 00:06:34,279 --> 00:06:37,920 Speaker 1: a whole lot less visible to consumers as the five 108 00:06:38,000 --> 00:06:40,960 Speaker 1: G rolls out. The five G let's say, a five 109 00:06:41,040 --> 00:06:44,320 Speaker 1: G inside antenna is probably or the one that would 110 00:06:44,320 --> 00:06:48,640 Speaker 1: go outside your house is about the size of eight 111 00:06:48,680 --> 00:06:53,600 Speaker 1: to ten inch tablet. The AU is I don't have 112 00:06:53,680 --> 00:06:55,800 Speaker 1: a good visual to say it's this bigger that pick, 113 00:06:55,880 --> 00:06:59,160 Speaker 1: but it's maybe two foot high by about twelve inches wide. 114 00:06:59,560 --> 00:07:01,480 Speaker 1: I mean it's small. It'll feel, like I said, one 115 00:07:01,600 --> 00:07:05,080 Speaker 1: person can install these systems. You don't need to. You 116 00:07:05,200 --> 00:07:06,960 Speaker 1: just it comes to amounting. You just slide it on 117 00:07:07,000 --> 00:07:09,040 Speaker 1: the pole. You're done. I mean, it really is easy 118 00:07:09,080 --> 00:07:11,480 Speaker 1: to put in. You'll be able to rapidly put these 119 00:07:11,520 --> 00:07:15,760 Speaker 1: systems in place too. The other thing five G won't 120 00:07:15,840 --> 00:07:19,240 Speaker 1: need as much of is cable. Why is five do 121 00:07:19,280 --> 00:07:22,200 Speaker 1: you referred to as the next Industrial revolution? What we 122 00:07:22,360 --> 00:07:25,480 Speaker 1: had before, you know, the first Industrial Revolution was really 123 00:07:26,040 --> 00:07:29,680 Speaker 1: taking and was a process based revolution. We took the 124 00:07:29,880 --> 00:07:36,640 Speaker 1: processes of you know, individual craftsmen and making individual products. 125 00:07:36,680 --> 00:07:40,720 Speaker 1: You know, you had the carriage made, you know, individually 126 00:07:40,800 --> 00:07:44,239 Speaker 1: crafted for people. You had you know, even cars initially 127 00:07:44,320 --> 00:07:47,400 Speaker 1: came out and it was a very laborious process. It 128 00:07:47,520 --> 00:07:50,960 Speaker 1: was individually made. The cars were distinctive at first revolution. Well, 129 00:07:50,960 --> 00:07:54,040 Speaker 1: you know what, let's let's change that process. How do 130 00:07:54,640 --> 00:07:57,600 Speaker 1: massively manufactur when you standardize process and you put out 131 00:07:57,800 --> 00:07:59,720 Speaker 1: you know, things like the Model T which all looked 132 00:07:59,720 --> 00:08:01,920 Speaker 1: to say, you know, you could have it painted I 133 00:08:01,960 --> 00:08:04,000 Speaker 1: think in two colors when it first came out. So 134 00:08:04,880 --> 00:08:08,240 Speaker 1: that was the kind of the big industrial revolution. Then 135 00:08:08,280 --> 00:08:11,080 Speaker 1: we had this revolution. I would say that started with 136 00:08:11,520 --> 00:08:14,800 Speaker 1: the beginning to use of technology in this to get 137 00:08:14,920 --> 00:08:17,960 Speaker 1: the machines to do even more things for us. This 138 00:08:18,240 --> 00:08:22,120 Speaker 1: fourth Industry Revolution is really about bringing all of that 139 00:08:22,320 --> 00:08:27,600 Speaker 1: together with massive amounts of data AI smart factories, which 140 00:08:27,720 --> 00:08:31,280 Speaker 1: mean now you will have robots doing more of those tasks. 141 00:08:31,640 --> 00:08:35,480 Speaker 1: You will have machines doing you know, more things and 142 00:08:35,640 --> 00:08:37,880 Speaker 1: doing them effectively. So I don't know, if you are 143 00:08:37,960 --> 00:08:40,560 Speaker 1: coming into our office, you notice we have the two 144 00:08:40,679 --> 00:08:45,319 Speaker 1: robot vacuums vacuuming up the Samsung office space here. You know, 145 00:08:45,520 --> 00:08:48,120 Speaker 1: two or three years ago they had those. They weren't 146 00:08:48,120 --> 00:08:50,720 Speaker 1: really good at vacuuming. They missed us. Today they're really 147 00:08:50,760 --> 00:08:52,760 Speaker 1: really good. They get into all the other spaces they 148 00:08:52,840 --> 00:08:55,280 Speaker 1: do it. They replace you know, people from having to 149 00:08:55,360 --> 00:08:57,719 Speaker 1: do those tasks. Then the second people is well, what 150 00:08:57,840 --> 00:09:00,880 Speaker 1: will happen with people? Will they be of jobs? And 151 00:09:01,080 --> 00:09:04,280 Speaker 1: will there will be negative impacts? I think I'd be 152 00:09:04,320 --> 00:09:07,160 Speaker 1: foolish to say there won't be some initial negative impacts. 153 00:09:07,200 --> 00:09:09,719 Speaker 1: This will replace some job. But what I think is 154 00:09:09,760 --> 00:09:11,800 Speaker 1: going to happen at a fast rate, it's going to 155 00:09:11,960 --> 00:09:16,040 Speaker 1: create new jobs. Are we right to imagine the job 156 00:09:16,160 --> 00:09:19,199 Speaker 1: market will be transformed both in the United States and 157 00:09:19,400 --> 00:09:22,679 Speaker 1: globally as a result of five G We can say 158 00:09:22,720 --> 00:09:24,600 Speaker 1: it that way. It's going to transform the job market, 159 00:09:24,679 --> 00:09:26,400 Speaker 1: I think. But there will be a couple of hiccups, 160 00:09:26,559 --> 00:09:29,640 Speaker 1: you know that's going to happen. But the opportunities as 161 00:09:29,720 --> 00:09:33,520 Speaker 1: we transform and create new jobs for people and let 162 00:09:33,679 --> 00:09:38,320 Speaker 1: people have access to much more information, to be able 163 00:09:38,520 --> 00:09:41,760 Speaker 1: to design things on their own, to be able to 164 00:09:41,960 --> 00:09:46,640 Speaker 1: do different things that will add value to the nation 165 00:09:46,760 --> 00:09:48,600 Speaker 1: as a whole or to the globe as a whole, 166 00:09:49,000 --> 00:09:51,760 Speaker 1: and increase I think, their own personal value as this 167 00:09:51,920 --> 00:09:55,160 Speaker 1: moves forward. I'm very optimistic about the future and what 168 00:09:55,320 --> 00:09:57,719 Speaker 1: it means. I don't see a future where you know, 169 00:09:57,800 --> 00:10:00,599 Speaker 1: people won't work and the machines will do everything. I 170 00:10:00,679 --> 00:10:02,680 Speaker 1: see a future where people will be able to work 171 00:10:02,840 --> 00:10:07,439 Speaker 1: on higher levels of things. The machines will take some 172 00:10:07,600 --> 00:10:11,640 Speaker 1: of the tasks, the mundane things, and actually, in some 173 00:10:11,800 --> 00:10:14,640 Speaker 1: ways this is going to make everyday lives better. As 174 00:10:14,679 --> 00:10:17,080 Speaker 1: we move into those five G world, we often hear 175 00:10:17,160 --> 00:10:21,319 Speaker 1: references to IoT, the Internet of things, and we're just 176 00:10:21,440 --> 00:10:24,600 Speaker 1: beginning to experience the world where data is shared, for example, 177 00:10:24,960 --> 00:10:29,800 Speaker 1: between your phone, your smart watch, your computer, even your refrigerator. 178 00:10:30,760 --> 00:10:33,520 Speaker 1: But as we move towards this future of sharing large 179 00:10:33,520 --> 00:10:36,520 Speaker 1: amounts of data quickly, it's going to allow for objects 180 00:10:36,559 --> 00:10:39,040 Speaker 1: to share data and communicate with one another at a 181 00:10:39,360 --> 00:10:42,880 Speaker 1: very rapid speed. What impact will this have on the consumer. 182 00:10:43,120 --> 00:10:45,079 Speaker 1: So when you talk about what will be valuable to 183 00:10:45,200 --> 00:10:47,800 Speaker 1: the consumer, there are some things I think that people 184 00:10:47,840 --> 00:10:51,040 Speaker 1: will easily see and you can argue about their value. 185 00:10:51,280 --> 00:10:53,679 Speaker 1: But yeah's your smart refrigerator will not only know when 186 00:10:53,720 --> 00:10:56,439 Speaker 1: you're out of eggs, it will anticipate that and tell 187 00:10:56,480 --> 00:10:58,280 Speaker 1: you when to order. And you could even probably set 188 00:10:58,360 --> 00:11:01,079 Speaker 1: up the refrigerator that says, just go ahead and make 189 00:11:01,120 --> 00:11:02,800 Speaker 1: that order for me. I mean, and I think you 190 00:11:02,880 --> 00:11:06,400 Speaker 1: will see there will be an ease of decision making, 191 00:11:06,520 --> 00:11:09,079 Speaker 1: ease of life on what I'll call minor matters that 192 00:11:09,280 --> 00:11:12,120 Speaker 1: they'll just happen but I think what else you will 193 00:11:12,200 --> 00:11:17,000 Speaker 1: see for the consumer again is some of the results. 194 00:11:17,640 --> 00:11:21,240 Speaker 1: It's gonna boil a while before we have fully autonomous cars. 195 00:11:21,800 --> 00:11:23,800 Speaker 1: You've got to have a full up five G network, 196 00:11:23,840 --> 00:11:26,240 Speaker 1: and we've got to solve some legal problems. Of course, 197 00:11:26,280 --> 00:11:31,720 Speaker 1: we understand that autonomous vehicles or self driving cars already exist. However, 198 00:11:31,880 --> 00:11:34,560 Speaker 1: there have been some mistakes made where people have been 199 00:11:34,640 --> 00:11:39,160 Speaker 1: harmed even killed by self driving vehicles. How is five 200 00:11:39,240 --> 00:11:43,120 Speaker 1: G going to change our experience with autonomous vehicles. I 201 00:11:43,240 --> 00:11:47,640 Speaker 1: think it will begin to see highways equipped with enough 202 00:11:47,679 --> 00:11:50,320 Speaker 1: five G to be able to begin to do semi 203 00:11:50,440 --> 00:11:54,680 Speaker 1: autonomous cars, where the sensors in the cars will really 204 00:11:54,840 --> 00:11:59,319 Speaker 1: get good enough to help you drive. And here's why. 205 00:11:59,400 --> 00:12:03,040 Speaker 1: So in a four network today, you can probably control 206 00:12:03,200 --> 00:12:06,760 Speaker 1: the car in a couple meters of space. That's really 207 00:12:06,960 --> 00:12:09,960 Speaker 1: not good enough to be able to manage cars safely. 208 00:12:10,400 --> 00:12:12,960 Speaker 1: On a five G network, you could control that within 209 00:12:13,040 --> 00:12:14,839 Speaker 1: a centimeter. So you're gonna be able to give the 210 00:12:15,000 --> 00:12:18,960 Speaker 1: driver on a five G network warnings that are really 211 00:12:19,040 --> 00:12:21,000 Speaker 1: really good or not just warning. So you're gonna be 212 00:12:21,000 --> 00:12:24,280 Speaker 1: able to anticipate traffic ahead, traffic behind, what's on the 213 00:12:24,360 --> 00:12:27,559 Speaker 1: left and right, here's a congested point. Do this with 214 00:12:27,720 --> 00:12:31,640 Speaker 1: a high degree of accuracy. So I think consumers will 215 00:12:31,640 --> 00:12:36,080 Speaker 1: start benefiting by seeing five g's start entering their lives 216 00:12:36,120 --> 00:12:39,120 Speaker 1: in bigger ways. What's the timing and all this? How 217 00:12:39,200 --> 00:12:41,559 Speaker 1: soon do you expect this to happen? I think what 218 00:12:41,679 --> 00:12:44,839 Speaker 1: you will see is in four years you will have 219 00:12:45,160 --> 00:12:48,280 Speaker 1: much safer cars. I mean, I think about today. My 220 00:12:48,440 --> 00:12:52,480 Speaker 1: car today has front looking radar. Side looking radar tells 221 00:12:52,480 --> 00:12:54,079 Speaker 1: me how close I am in front, how close I 222 00:12:54,080 --> 00:12:57,319 Speaker 1: am in back? Has a camera has side all of 223 00:12:57,440 --> 00:13:01,000 Speaker 1: that integrate it in a network that can now put 224 00:13:01,200 --> 00:13:04,280 Speaker 1: the decision to a display on me or make the decision. 225 00:13:04,320 --> 00:13:07,360 Speaker 1: I mean today, my steering wheel will vibrate if I 226 00:13:07,440 --> 00:13:09,559 Speaker 1: get out of the lane. You think about, we've already 227 00:13:09,600 --> 00:13:12,079 Speaker 1: made them safer. You think about taking that to the 228 00:13:12,200 --> 00:13:14,480 Speaker 1: next level. It really does make I think, and it 229 00:13:14,520 --> 00:13:17,640 Speaker 1: will make a little more pleasurable experience for drivers. But 230 00:13:17,720 --> 00:13:19,760 Speaker 1: it's going to reduce the number of vehicles we need 231 00:13:19,800 --> 00:13:23,800 Speaker 1: on the road to get things done. I think that 232 00:13:24,000 --> 00:13:26,600 Speaker 1: in itself is going to have a huge impact on climate. 233 00:13:26,760 --> 00:13:29,160 Speaker 1: With autonomous cars, will you be able to pick the 234 00:13:29,280 --> 00:13:31,800 Speaker 1: car you want? Will only a car be a thing? 235 00:13:31,880 --> 00:13:36,240 Speaker 1: Of the past. You subscribe to a car service that 236 00:13:36,400 --> 00:13:40,320 Speaker 1: says today you get up and you need the suv 237 00:13:40,800 --> 00:13:42,640 Speaker 1: and you use that maybe because you got practice the 238 00:13:42,760 --> 00:13:45,480 Speaker 1: night's week. But let's then say Friday night, you've decided, 239 00:13:45,679 --> 00:13:49,280 Speaker 1: you know, spend all week with the kids. Now you 240 00:13:49,360 --> 00:13:51,360 Speaker 1: know you're a significant other. You want to go out 241 00:13:51,440 --> 00:13:53,040 Speaker 1: for a nice Friday night. You see, you know what 242 00:13:53,320 --> 00:13:56,479 Speaker 1: beautiful night. I'd like to go out in the Audi convertible. 243 00:13:57,120 --> 00:13:59,600 Speaker 1: So you order the outer convertible and it shows up. 244 00:14:00,240 --> 00:14:02,000 Speaker 1: You know, it comes up, boom, here's your audy convertible 245 00:14:02,720 --> 00:14:06,160 Speaker 1: and you drive your audy convertible. Or Saturday morning you're 246 00:14:06,240 --> 00:14:08,880 Speaker 1: doing the Oh god, we gotta go fix something in 247 00:14:08,920 --> 00:14:11,000 Speaker 1: the back of the house. We need to go get 248 00:14:11,080 --> 00:14:13,360 Speaker 1: the parts. I need a truck. So you order the 249 00:14:13,400 --> 00:14:17,720 Speaker 1: truck that's coming, that is coming where you will pick 250 00:14:17,800 --> 00:14:20,720 Speaker 1: the car you want. One of the things that we 251 00:14:20,920 --> 00:14:23,560 Speaker 1: know from studies, one of the things you get the 252 00:14:23,720 --> 00:14:26,480 Speaker 1: least amount of ROI on in terms of usage versus 253 00:14:26,560 --> 00:14:29,920 Speaker 1: cost is a car because you drive it to work 254 00:14:30,240 --> 00:14:33,080 Speaker 1: sets there. The other thing we know is that there's 255 00:14:33,160 --> 00:14:35,440 Speaker 1: all these cars parked, and there's all these cars on 256 00:14:35,520 --> 00:14:38,160 Speaker 1: the road, all these things movement. If we were better 257 00:14:38,280 --> 00:14:42,440 Speaker 1: managing this, you could have enough cars in DC. You 258 00:14:42,480 --> 00:14:44,400 Speaker 1: could reduce the amount of cars in DC by about 259 00:14:44,400 --> 00:14:48,480 Speaker 1: twenty twenty and still have enough cars for everybody to 260 00:14:48,560 --> 00:14:51,000 Speaker 1: do what they want. You know, emergencies come up everything, 261 00:14:51,960 --> 00:14:55,080 Speaker 1: and you could manage those so that the reductions in 262 00:14:55,200 --> 00:14:59,080 Speaker 1: the traffic would be you you put time back to 263 00:14:59,160 --> 00:15:02,080 Speaker 1: the consumer. I think you're going to see car on 264 00:15:02,200 --> 00:15:05,960 Speaker 1: demand services in the next three or four years. What 265 00:15:06,080 --> 00:15:09,560 Speaker 1: about the future of wearables? What more wearables be able 266 00:15:09,600 --> 00:15:12,720 Speaker 1: to do in a five G world? Here's Major General 267 00:15:12,840 --> 00:15:15,120 Speaker 1: Robert Wheeler. One of the big areas that we're talking 268 00:15:15,160 --> 00:15:17,560 Speaker 1: about for the future in five G and the Internet 269 00:15:17,560 --> 00:15:19,200 Speaker 1: of Things is all the censoring they're going to be 270 00:15:19,280 --> 00:15:22,920 Speaker 1: able to do wearables. So part of this set of 271 00:15:23,000 --> 00:15:24,720 Speaker 1: sensors is not just going to be your cell phone 272 00:15:24,800 --> 00:15:26,480 Speaker 1: or SAE, but as wearables. You know, today you see 273 00:15:26,480 --> 00:15:29,400 Speaker 1: the beginnings of this in smart watches, okay, and you 274 00:15:30,400 --> 00:15:32,680 Speaker 1: see heart rate and active watches that are in there 275 00:15:32,720 --> 00:15:34,840 Speaker 1: so you can manage it. So for example, I wear 276 00:15:34,960 --> 00:15:37,880 Speaker 1: a specific kind of an active watch because I'm a runner. 277 00:15:38,200 --> 00:15:41,560 Speaker 1: So what I see today across the board is a 278 00:15:41,680 --> 00:15:44,280 Speaker 1: quick capability to be able to seem a heart rate, 279 00:15:44,360 --> 00:15:46,920 Speaker 1: how well I sleep tonight. It's basic. The way they're 280 00:15:46,960 --> 00:15:49,440 Speaker 1: putting these sensors together for the future, you're going to 281 00:15:49,440 --> 00:15:52,640 Speaker 1: be able to do heart rate but also completely have 282 00:15:52,920 --> 00:15:54,680 Speaker 1: your blood pressure from the time you wake up to 283 00:15:54,680 --> 00:15:56,560 Speaker 1: the time you do not and be able to graphically 284 00:15:56,600 --> 00:15:59,400 Speaker 1: show that a daily basis and show trends across the board. 285 00:15:59,600 --> 00:16:02,280 Speaker 1: At any trends that are not going correct with contact 286 00:16:02,320 --> 00:16:04,120 Speaker 1: your doctor without you even having a piece of too 287 00:16:04,160 --> 00:16:06,200 Speaker 1: it say, contacted your doctor, your heart rates have been 288 00:16:06,240 --> 00:16:08,040 Speaker 1: elevated the last week. They need to take a look 289 00:16:08,040 --> 00:16:10,160 Speaker 1: at it because it's hits some parameters that were set 290 00:16:10,360 --> 00:16:13,880 Speaker 1: in that particular aspect. In fact, the latest active watches 291 00:16:13,960 --> 00:16:17,320 Speaker 1: between both Samsung and I'm seeing an Apple, both are 292 00:16:17,760 --> 00:16:21,080 Speaker 1: working on this heart rate, this basic capability beyond just 293 00:16:21,320 --> 00:16:23,920 Speaker 1: doing the heartbeats, but seeing any kind of patterns of 294 00:16:24,360 --> 00:16:28,240 Speaker 1: problematic heart whether it's almost a EKG or whether it's 295 00:16:28,240 --> 00:16:30,000 Speaker 1: blood pressure. They're working on both of those for the 296 00:16:30,080 --> 00:16:32,440 Speaker 1: set of sensors out there, So that part of the 297 00:16:32,560 --> 00:16:35,800 Speaker 1: medical piece is huge. Being able to do all of 298 00:16:35,880 --> 00:16:39,440 Speaker 1: that particular work and having real time speeds of capability 299 00:16:39,840 --> 00:16:41,960 Speaker 1: that I think is a big deal for doing the 300 00:16:42,080 --> 00:16:45,440 Speaker 1: medical aspect of it. Let's talk about healthcare. Thinking about 301 00:16:45,480 --> 00:16:48,400 Speaker 1: how our health may be improved or our lives may 302 00:16:48,440 --> 00:16:52,480 Speaker 1: be saved by this new technology is really incredible. Terry 303 00:16:52,560 --> 00:16:56,400 Speaker 1: how Verson explains, the fastest growing type of data in 304 00:16:56,480 --> 00:16:59,280 Speaker 1: the world is medical data. And one of the hardest 305 00:16:59,320 --> 00:17:03,520 Speaker 1: things today is to move even in hospitals, and certainly 306 00:17:03,520 --> 00:17:05,399 Speaker 1: when you try to leave the hospital and move it 307 00:17:05,440 --> 00:17:09,240 Speaker 1: to your local doctor. Medical imagery files are really really big. 308 00:17:09,320 --> 00:17:12,280 Speaker 1: They take a long time to download. With five G 309 00:17:12,960 --> 00:17:16,680 Speaker 1: that becomes a much shorter process, and I think you'll 310 00:17:16,720 --> 00:17:20,000 Speaker 1: see doctors able to take imagery and move it to 311 00:17:20,080 --> 00:17:22,880 Speaker 1: a surgeon and operate in real time. So I think 312 00:17:23,080 --> 00:17:25,119 Speaker 1: that may be the first place to consumers see it 313 00:17:25,600 --> 00:17:29,320 Speaker 1: on a major scale is in hospitals. Let's say you're 314 00:17:29,400 --> 00:17:33,119 Speaker 1: in a very small town somewhere in the middle of 315 00:17:33,160 --> 00:17:36,639 Speaker 1: America and you have a disease or some injury that 316 00:17:36,920 --> 00:17:40,920 Speaker 1: really your chances are surviving get much better if you 317 00:17:41,119 --> 00:17:44,480 Speaker 1: could have the one or two doctors that have done 318 00:17:44,520 --> 00:17:46,840 Speaker 1: the most, they're the best at that. Well. Today you're 319 00:17:46,880 --> 00:17:48,639 Speaker 1: going to be able to capture that link that and 320 00:17:48,760 --> 00:17:54,000 Speaker 1: assists your doctor in that have surgical assistance from like 321 00:17:54,160 --> 00:17:57,680 Speaker 1: the best doctor in the world, without having to have 322 00:17:57,840 --> 00:18:00,439 Speaker 1: him online. You're going to be able to review exactly 323 00:18:00,520 --> 00:18:02,320 Speaker 1: what he did in that surgery. So you could be 324 00:18:02,359 --> 00:18:04,720 Speaker 1: in the operating room and you're there and maybe you 325 00:18:04,800 --> 00:18:06,280 Speaker 1: see something that was a little different from your plan. 326 00:18:06,359 --> 00:18:08,760 Speaker 1: You're gonna be able to call up and look and say, Okay, 327 00:18:09,280 --> 00:18:12,080 Speaker 1: here's how doctor A, who is the best at this 328 00:18:12,240 --> 00:18:14,959 Speaker 1: type of surgery in the world, did this. Here's how 329 00:18:15,040 --> 00:18:18,600 Speaker 1: he dealt with this problem. When we come back, we'll 330 00:18:18,640 --> 00:18:21,200 Speaker 1: look at the many facets of our lives that will 331 00:18:21,200 --> 00:18:38,199 Speaker 1: be changed by five G. Studying this, I'm amazed at 332 00:18:38,240 --> 00:18:40,440 Speaker 1: how many facets of our life will be changed as 333 00:18:40,440 --> 00:18:43,960 Speaker 1: a result of five G. How we live, where and 334 00:18:44,040 --> 00:18:48,160 Speaker 1: how we work, how we consume entertainment, how we're educated. 335 00:18:48,720 --> 00:18:52,320 Speaker 1: All of life will be transformed. How will entertainment change 336 00:18:53,040 --> 00:18:55,880 Speaker 1: From an entertainment standpoint, You are going to be able 337 00:18:55,920 --> 00:19:00,159 Speaker 1: to carry and take and download your entertainment with you 338 00:19:00,200 --> 00:19:02,960 Speaker 1: wherever you want, and a little tiny chip processor terabyted 339 00:19:03,040 --> 00:19:06,600 Speaker 1: movies in your phone. Those things will happen on a 340 00:19:06,760 --> 00:19:10,080 Speaker 1: more global scale, though, what is going to happen The 341 00:19:10,200 --> 00:19:13,879 Speaker 1: places that have great five G are going to be 342 00:19:14,400 --> 00:19:19,840 Speaker 1: the places that draw the innovators because you can now 343 00:19:20,040 --> 00:19:23,480 Speaker 1: get so much compute power and get it quickly because 344 00:19:23,520 --> 00:19:27,240 Speaker 1: you can link all these computers. The innovators who are 345 00:19:27,520 --> 00:19:29,800 Speaker 1: coming up with the things that we just haven't even 346 00:19:29,840 --> 00:19:31,920 Speaker 1: thought about yet are going to want to be in 347 00:19:32,040 --> 00:19:35,080 Speaker 1: those environments. So the places that have five G and 348 00:19:35,160 --> 00:19:38,560 Speaker 1: have good connection are going to immediately benefit economically because 349 00:19:38,640 --> 00:19:42,320 Speaker 1: that's where the innovators are going to be. That is 350 00:19:42,359 --> 00:19:44,680 Speaker 1: going to be one of the single biggest economic forces 351 00:19:45,160 --> 00:19:48,080 Speaker 1: in the coming years. Where are those innovators. How do 352 00:19:48,200 --> 00:19:51,400 Speaker 1: they not just use five G to develop the innovation, 353 00:19:51,760 --> 00:19:55,159 Speaker 1: but then how do they deploy or sell market that 354 00:19:55,280 --> 00:19:58,639 Speaker 1: innovation over a network that will have wide range, im 355 00:19:58,720 --> 00:20:01,320 Speaker 1: mediate speeds, all the things we've talked about. So I 356 00:20:01,440 --> 00:20:04,840 Speaker 1: think that's going to be another way that consumers will 357 00:20:04,920 --> 00:20:09,000 Speaker 1: see or feel the impact of five G. What about sports, 358 00:20:09,320 --> 00:20:12,919 Speaker 1: We're already seeing major advancements the cameras. I mean now 359 00:20:12,960 --> 00:20:16,200 Speaker 1: you have three hundred and sixty degree very high resolution 360 00:20:16,320 --> 00:20:19,640 Speaker 1: cameras sitting in many of the new sports arenas, which 361 00:20:19,760 --> 00:20:24,040 Speaker 1: can actually beam you to your home TV in real 362 00:20:24,119 --> 00:20:27,080 Speaker 1: time to latency, and you do feel like you're right 363 00:20:27,160 --> 00:20:29,160 Speaker 1: at the game. And even if you're at the stadium. 364 00:20:29,240 --> 00:20:31,639 Speaker 1: Some of the stadiums today have those, and you can 365 00:20:31,680 --> 00:20:34,200 Speaker 1: look up on the screen and what you're seeing on 366 00:20:34,280 --> 00:20:37,040 Speaker 1: the screen is in some ways better than what you 367 00:20:37,119 --> 00:20:40,760 Speaker 1: saw on the court. It never quite replaces the court 368 00:20:40,800 --> 00:20:44,040 Speaker 1: side experience, but it can do the analytics and you 369 00:20:44,119 --> 00:20:46,280 Speaker 1: can see every player how their position. If you're a 370 00:20:46,320 --> 00:20:50,320 Speaker 1: sports nut, this is a beauty, beauty, great movement forward. 371 00:20:50,400 --> 00:20:52,760 Speaker 1: Will the lecture holiday brick and Mortar College be a 372 00:20:52,800 --> 00:20:55,680 Speaker 1: thing of the past. How is five G going to 373 00:20:55,760 --> 00:20:58,760 Speaker 1: transferm education? Here's what I think is going to happen, 374 00:20:59,040 --> 00:21:01,960 Speaker 1: and I'm going to use a personal experience, because this 375 00:21:02,040 --> 00:21:04,200 Speaker 1: is when it became really clear to me where we 376 00:21:04,280 --> 00:21:07,800 Speaker 1: were headed. It was while back, so I have two sons. 377 00:21:08,000 --> 00:21:11,480 Speaker 1: My youngest son was about fourteen a time, and I 378 00:21:11,640 --> 00:21:13,960 Speaker 1: happened to stick my head in his room and he 379 00:21:14,080 --> 00:21:17,480 Speaker 1: had a headset on one ear which he had pulled 380 00:21:17,760 --> 00:21:19,679 Speaker 1: the one ear back, so he was listening to one 381 00:21:19,760 --> 00:21:23,200 Speaker 1: thing on one ear, another thing on another ear. He 382 00:21:23,359 --> 00:21:28,880 Speaker 1: had his desktop system back up then with some homework 383 00:21:29,000 --> 00:21:31,840 Speaker 1: on the screen that he was collaborating with other people. 384 00:21:32,000 --> 00:21:35,600 Speaker 1: He had a kind of laptop with a game going 385 00:21:35,720 --> 00:21:41,159 Speaker 1: on and was paying attention to something that was actually 386 00:21:41,359 --> 00:21:44,920 Speaker 1: on the television. My first reaction was to go in 387 00:21:45,160 --> 00:21:48,159 Speaker 1: and say, what are you doing? You can't focus, you 388 00:21:48,160 --> 00:21:50,680 Speaker 1: can't get anything done. Don't know why I didn't do that. 389 00:21:50,800 --> 00:21:52,480 Speaker 1: My wife was a little surprised. I didn't do that either. 390 00:21:52,520 --> 00:21:54,520 Speaker 1: I didn't yell, so I kind of walked out of 391 00:21:54,560 --> 00:21:57,280 Speaker 1: the room, went back, and I remember my wife and 392 00:21:57,359 --> 00:21:58,879 Speaker 1: I talking about that, and I said, you know, that 393 00:21:59,040 --> 00:22:03,359 Speaker 1: bothered me. But then I said, you know what performance 394 00:22:03,480 --> 00:22:06,720 Speaker 1: is to measure he's getting. You know, that time he 395 00:22:06,760 --> 00:22:09,399 Speaker 1: had six a's one B. I can't really complain about that. 396 00:22:10,119 --> 00:22:12,320 Speaker 1: So later and I talked to him about I asked him, 397 00:22:12,359 --> 00:22:14,920 Speaker 1: I said, he said, Dad, it's just I can take 398 00:22:14,960 --> 00:22:19,000 Speaker 1: all those inputs. And he said, you know, I get 399 00:22:19,160 --> 00:22:22,520 Speaker 1: more from listening to the book than you do from reading. 400 00:22:22,560 --> 00:22:25,920 Speaker 1: And I can multitask and I can collaborate. That's just 401 00:22:26,240 --> 00:22:29,840 Speaker 1: what I do. And I think that is what exactly 402 00:22:30,000 --> 00:22:33,080 Speaker 1: is happening. We're seeing the younger generation growing up in 403 00:22:33,160 --> 00:22:36,480 Speaker 1: that environment. I didn't, you know, I still get most 404 00:22:36,520 --> 00:22:40,200 Speaker 1: of my data from reading and they don't. This type 405 00:22:40,400 --> 00:22:46,000 Speaker 1: of new technology is going to allow different types of learning, 406 00:22:46,359 --> 00:22:52,560 Speaker 1: more real live learning, certainly as you get into higher 407 00:22:52,680 --> 00:22:55,920 Speaker 1: levels of learning, I think you're going to see where 408 00:22:56,040 --> 00:23:01,240 Speaker 1: you will not have to have people as physical co located. 409 00:23:02,040 --> 00:23:04,440 Speaker 1: Though I will caution that in the end some of 410 00:23:04,520 --> 00:23:07,320 Speaker 1: the physical co location dialogue, you won't still be able 411 00:23:07,320 --> 00:23:09,560 Speaker 1: to replace that. But I think you'll be able to 412 00:23:09,640 --> 00:23:13,720 Speaker 1: reach wider sets of audiences that then may be mentored 413 00:23:13,840 --> 00:23:18,240 Speaker 1: by different professors as they come together across the connected 414 00:23:18,320 --> 00:23:20,600 Speaker 1: college campus. And when I mean to connect a college campus, 415 00:23:20,920 --> 00:23:24,400 Speaker 1: that's a college campus connected across the US. I think 416 00:23:24,480 --> 00:23:27,160 Speaker 1: that kind of thing I think is coming. What about 417 00:23:27,240 --> 00:23:30,040 Speaker 1: how we work well, we work differently than we do now. 418 00:23:30,600 --> 00:23:33,760 Speaker 1: I think the standard office environment will be whatever you 419 00:23:33,880 --> 00:23:35,720 Speaker 1: want it to be. I don't think you'll have a 420 00:23:35,760 --> 00:23:38,119 Speaker 1: standard office environment. I think that's the beauty of all this. 421 00:23:38,880 --> 00:23:40,520 Speaker 1: You want your office to be at home on a 422 00:23:40,640 --> 00:23:42,800 Speaker 1: visual screen and you can get your mission work done. 423 00:23:42,840 --> 00:23:45,640 Speaker 1: You're gonna be able to do that. If you want 424 00:23:45,680 --> 00:23:48,560 Speaker 1: to come in and be in a collaborative surrounding where 425 00:23:48,600 --> 00:23:51,680 Speaker 1: you can share and easily do things, You're going to 426 00:23:51,760 --> 00:23:54,200 Speaker 1: be able to do that. One of the things that 427 00:23:54,400 --> 00:23:57,800 Speaker 1: we concentrate it really really hard. In this building, in 428 00:23:57,880 --> 00:24:02,400 Speaker 1: this office space here, we wanted it to be reconfigurable 429 00:24:03,119 --> 00:24:07,280 Speaker 1: for the person and for our office staff. I think 430 00:24:07,400 --> 00:24:09,680 Speaker 1: that is the way of the future. You will reconfigure 431 00:24:09,720 --> 00:24:12,840 Speaker 1: to what you want for that mission, for that day, 432 00:24:13,040 --> 00:24:16,159 Speaker 1: for that particular customer. This is the beauty I think 433 00:24:16,200 --> 00:24:17,320 Speaker 1: of what we're coming on. We're going to be able 434 00:24:17,320 --> 00:24:22,879 Speaker 1: to reconfigure and do things in environments that are really 435 00:24:23,080 --> 00:24:26,000 Speaker 1: tailored to what I want to get done, or tailored 436 00:24:26,080 --> 00:24:30,040 Speaker 1: to help me bena a mood that helps me get 437 00:24:30,200 --> 00:24:33,240 Speaker 1: things done. That's a really exciting part to me that 438 00:24:33,240 --> 00:24:36,480 Speaker 1: you're going to be able to do things without having 439 00:24:36,640 --> 00:24:41,400 Speaker 1: to have the formal structures of an office. Another great 440 00:24:41,440 --> 00:24:44,560 Speaker 1: impact of five G is going to be to rural America. 441 00:24:45,359 --> 00:24:48,560 Speaker 1: The spotty cell phone service and satellite dishes on roofs 442 00:24:48,840 --> 00:24:52,720 Speaker 1: will be a thing of the past. Major General Wheeler explains, 443 00:24:53,000 --> 00:24:57,400 Speaker 1: so now they're using these four G LTE type connections 444 00:24:57,440 --> 00:24:59,920 Speaker 1: to be their basic Internet. When you go to five G, though, 445 00:25:00,520 --> 00:25:02,960 Speaker 1: that changes it overnight because remember, as we talked in 446 00:25:03,040 --> 00:25:06,000 Speaker 1: the beginning, that's seventy two megabytes in your pocket now 447 00:25:06,119 --> 00:25:09,560 Speaker 1: exceeds one gigabyte, So it's faster than any fiber piece. 448 00:25:09,920 --> 00:25:12,040 Speaker 1: And when you start to look at five G and 449 00:25:12,200 --> 00:25:14,480 Speaker 1: what it brings. There's not a need to dig up 450 00:25:14,560 --> 00:25:16,840 Speaker 1: fiber and put that in the ground anymore. So that 451 00:25:17,000 --> 00:25:20,040 Speaker 1: whole fiber aspect, that whole back call that was so 452 00:25:20,240 --> 00:25:22,880 Speaker 1: costly in rural areas goes away. So now what you're 453 00:25:22,920 --> 00:25:26,359 Speaker 1: basically doing, in essence, you're blanketing the rural area with 454 00:25:26,480 --> 00:25:29,560 Speaker 1: Wi Fi. So wherever that person is, whether he's in 455 00:25:29,680 --> 00:25:33,200 Speaker 1: his field working his stuff, whether he's in the doctor's office, 456 00:25:33,280 --> 00:25:35,880 Speaker 1: or whether he's in the school in the rural areas, 457 00:25:36,200 --> 00:25:39,560 Speaker 1: he has now speeds that he wouldn't even have in 458 00:25:39,640 --> 00:25:41,960 Speaker 1: his house in a big city today. And so that 459 00:25:42,119 --> 00:25:46,000 Speaker 1: capability now for education opportunities to change dramatically and how 460 00:25:46,040 --> 00:25:48,680 Speaker 1: we do business, whether it's going to college remotely, or 461 00:25:48,760 --> 00:25:52,160 Speaker 1: whether it's to do some kind of extra education from 462 00:25:52,240 --> 00:25:55,159 Speaker 1: a farming perspective, or whether it's the factories that are 463 00:25:55,160 --> 00:25:56,760 Speaker 1: out in that areas. All of this can be done 464 00:25:56,800 --> 00:26:00,720 Speaker 1: remotely without any problems with whoever any losses capability, and 465 00:26:00,800 --> 00:26:03,680 Speaker 1: it can be done in a way that's cost effective. 466 00:26:03,960 --> 00:26:07,040 Speaker 1: So you have that particular aspect. I think another extraordinary 467 00:26:07,080 --> 00:26:11,280 Speaker 1: impact five G may have is on farming and agricultural production. 468 00:26:11,800 --> 00:26:14,720 Speaker 1: Major General Wheeler can you explain that. I think in 469 00:26:14,840 --> 00:26:17,679 Speaker 1: the farming aspects, the traditional way that we use our 470 00:26:17,760 --> 00:26:21,600 Speaker 1: rural areas, when you combine the ability of GPS and 471 00:26:21,680 --> 00:26:24,560 Speaker 1: the John Diers of the world to allow precision agriculture 472 00:26:24,760 --> 00:26:28,159 Speaker 1: with the five G sensor capability, and that ability be 473 00:26:28,240 --> 00:26:31,119 Speaker 1: done in real time. I mean, there's plenty of numbers 474 00:26:31,160 --> 00:26:36,760 Speaker 1: that show where precision agriculture runs high forty percent increases 475 00:26:36,880 --> 00:26:39,680 Speaker 1: in the ability of us to get product out of farming. Well, 476 00:26:39,680 --> 00:26:42,400 Speaker 1: they're looking at five G sensors to up that potentially 477 00:26:42,480 --> 00:26:45,280 Speaker 1: another twenty percent. And this is not GMO, it's not 478 00:26:45,560 --> 00:26:49,480 Speaker 1: genetically modified particular opposite. It's actually whatever seeds you put 479 00:26:49,520 --> 00:26:51,320 Speaker 1: in the ground there just by virtue of how you 480 00:26:51,680 --> 00:26:54,960 Speaker 1: are so meticulous and so accurate in the applications of 481 00:26:55,080 --> 00:26:58,240 Speaker 1: fertilizers and any kind of pesticides that are necessary in 482 00:26:58,359 --> 00:27:01,000 Speaker 1: any kind of water that you can actually minimize the 483 00:27:01,119 --> 00:27:03,120 Speaker 1: use of all those and get the maximizing of the crop. 484 00:27:03,720 --> 00:27:06,280 Speaker 1: When we come back, we'll look at another side of 485 00:27:06,400 --> 00:27:25,200 Speaker 1: five gen privacy. So far, we've painted a pretty rosy 486 00:27:25,320 --> 00:27:28,160 Speaker 1: world of how five G is going to improve our lives. 487 00:27:29,200 --> 00:27:31,680 Speaker 1: Now let's look at some of the dangers of five 488 00:27:31,760 --> 00:27:34,680 Speaker 1: g One of the biggest questions a lot of people 489 00:27:34,720 --> 00:27:37,760 Speaker 1: have been asking is about privacy in a world of 490 00:27:37,840 --> 00:27:41,600 Speaker 1: big data. How do we protect our privacy? Here's major 491 00:27:41,680 --> 00:27:46,040 Speaker 1: General Robert Wheeler. I think privacy is the Americans, depending 492 00:27:46,160 --> 00:27:48,440 Speaker 1: you whether you're in California or the rest of the US, 493 00:27:48,920 --> 00:27:52,880 Speaker 1: are very pro privacy. So having the level of security 494 00:27:52,920 --> 00:27:56,800 Speaker 1: that's necessary to protect the data that you have, whether 495 00:27:56,840 --> 00:27:59,280 Speaker 1: it's your medical data, whether it's the vehicles, because you 496 00:27:59,280 --> 00:28:01,560 Speaker 1: don't want somebody to cybertack and causing a massive car 497 00:28:01,640 --> 00:28:04,040 Speaker 1: accident on a highway or something of that nature. You 498 00:28:04,160 --> 00:28:06,280 Speaker 1: have to have that burned into the system. So that 499 00:28:06,359 --> 00:28:08,879 Speaker 1: has to be built in. That's a big difference in 500 00:28:08,920 --> 00:28:11,240 Speaker 1: the way the Western thought processes for networks and howward 501 00:28:11,320 --> 00:28:14,280 Speaker 1: thinking about that, especially within the government arena. Then the 502 00:28:14,359 --> 00:28:16,720 Speaker 1: whahwei a product is going to be so that aspect 503 00:28:16,760 --> 00:28:19,600 Speaker 1: to it is one very important point. Done correctly, though, 504 00:28:20,080 --> 00:28:23,399 Speaker 1: you can really add and there's examples that are already 505 00:28:23,440 --> 00:28:25,520 Speaker 1: out there that exist today. This isn't tomorrow or the 506 00:28:25,600 --> 00:28:28,840 Speaker 1: next month, this is today that really do protect at 507 00:28:28,880 --> 00:28:32,000 Speaker 1: a level that goes beyond even what Europe is asking 508 00:28:32,119 --> 00:28:35,760 Speaker 1: or the US to protect your individual privacy as an American, 509 00:28:35,800 --> 00:28:37,840 Speaker 1: as a European, as a Westerner. One of the issues 510 00:28:37,880 --> 00:28:41,280 Speaker 1: we face as a nation is hacking. Networks are hacked, 511 00:28:41,640 --> 00:28:45,800 Speaker 1: systems are hacked, emails are hacked. How will this wireless 512 00:28:45,840 --> 00:28:50,280 Speaker 1: five G environment be able to prevent hacking? Here's Terry Halverson. 513 00:28:50,600 --> 00:28:52,120 Speaker 1: I mean, one of the things you eliminate with the 514 00:28:52,160 --> 00:28:55,800 Speaker 1: wireless network is it's really hard for me to clip 515 00:28:55,880 --> 00:28:58,560 Speaker 1: cables onto the wireless network and listen to what you're doing. 516 00:28:59,080 --> 00:29:01,640 Speaker 1: And you can use all of the techniques plus some 517 00:29:01,800 --> 00:29:05,760 Speaker 1: more that you use to secure a wired network, you 518 00:29:05,880 --> 00:29:08,680 Speaker 1: can use on a wireless network. It will be more 519 00:29:08,760 --> 00:29:11,680 Speaker 1: about the sensors that are on the network and the 520 00:29:11,840 --> 00:29:17,120 Speaker 1: construction and architecture of your network that will be your security. 521 00:29:17,600 --> 00:29:22,280 Speaker 1: From a security standpoint, five G has the potential, if 522 00:29:22,480 --> 00:29:25,520 Speaker 1: architect it right and using the right sensors, to be 523 00:29:25,640 --> 00:29:29,680 Speaker 1: a more secure network than any four G network. One 524 00:29:29,720 --> 00:29:32,680 Speaker 1: of the simple reasons for that is in four G 525 00:29:33,600 --> 00:29:35,720 Speaker 1: and in five G you pay what we call a 526 00:29:35,840 --> 00:29:39,560 Speaker 1: bandwidth tax for enhancing your security. So if you have 527 00:29:39,640 --> 00:29:42,360 Speaker 1: a four G system that's say running one hundred megabits 528 00:29:42,440 --> 00:29:45,600 Speaker 1: per second, and you've got to spend twenty to twenty 529 00:29:45,640 --> 00:29:49,160 Speaker 1: five megabits per second to fully have all the security 530 00:29:49,240 --> 00:29:51,840 Speaker 1: sensors in there. That's a tax you don't want to 531 00:29:51,840 --> 00:29:55,200 Speaker 1: pay because now you're down to seventy five megabits per 532 00:29:55,280 --> 00:29:58,840 Speaker 1: second speed for what your system. If I have a 533 00:29:59,040 --> 00:30:01,640 Speaker 1: five G networ work, it's running at one gig per 534 00:30:01,720 --> 00:30:04,320 Speaker 1: second and I take twenty five per second of that 535 00:30:04,560 --> 00:30:08,160 Speaker 1: for security, you don't notice that. Plus the fact that 536 00:30:08,240 --> 00:30:11,840 Speaker 1: I have such low latency, I can process that security 537 00:30:11,920 --> 00:30:14,240 Speaker 1: data in near real time and make on the fly 538 00:30:14,520 --> 00:30:17,280 Speaker 1: security improvements to your network. You can't do that with 539 00:30:17,360 --> 00:30:19,880 Speaker 1: a four G system. Well, you also discuss the move 540 00:30:19,960 --> 00:30:23,040 Speaker 1: towards biometrics as a new way of securing our data. 541 00:30:23,480 --> 00:30:28,280 Speaker 1: Take the term biometrics and really just say no to passwords. 542 00:30:28,760 --> 00:30:32,000 Speaker 1: Passwords are one of the most least secure things you 543 00:30:32,080 --> 00:30:34,280 Speaker 1: can do to security system. You have to use them 544 00:30:34,280 --> 00:30:37,880 Speaker 1: if that's all you have. But we're people, and people 545 00:30:37,960 --> 00:30:40,320 Speaker 1: tend to make their passwords things that they can remember, 546 00:30:40,440 --> 00:30:43,360 Speaker 1: which are easy to figure out. Biometrics which I like, 547 00:30:43,600 --> 00:30:46,200 Speaker 1: and five G will help that go faster. Again because 548 00:30:46,240 --> 00:30:48,880 Speaker 1: of the latency that's gonna happen. You're gonna log into 549 00:30:48,960 --> 00:30:53,240 Speaker 1: your system, you know, fingerprint, iris, scan the quality of 550 00:30:53,320 --> 00:30:54,880 Speaker 1: what you can do and the speed you can do 551 00:30:55,080 --> 00:30:57,880 Speaker 1: that with on a five G network gets better. The 552 00:30:58,040 --> 00:31:00,400 Speaker 1: data you can put into the system them to be 553 00:31:00,480 --> 00:31:04,400 Speaker 1: able to get missing more measurement factors is higher. It's 554 00:31:04,440 --> 00:31:06,680 Speaker 1: going to measure the way you walk. What it's going 555 00:31:06,720 --> 00:31:09,640 Speaker 1: to really do is take all of those factors and 556 00:31:10,120 --> 00:31:12,360 Speaker 1: really be able to develop what I call a holistic 557 00:31:12,400 --> 00:31:14,880 Speaker 1: security picture that is really going to make sure you 558 00:31:15,000 --> 00:31:19,120 Speaker 1: are you and not somebody else. That will greatly improve 559 00:31:19,880 --> 00:31:22,440 Speaker 1: as we come up with. As the five G systems 560 00:31:22,560 --> 00:31:25,320 Speaker 1: get more and more prevalent, you're going to see and 561 00:31:25,440 --> 00:31:27,200 Speaker 1: I think it will do away with the passwords. I 562 00:31:27,280 --> 00:31:30,280 Speaker 1: think finally the day of having to remember the sixteen 563 00:31:30,360 --> 00:31:34,400 Speaker 1: digit or sixteen character or special character and nine capital letters, 564 00:31:34,800 --> 00:31:37,840 Speaker 1: I think all that will go away. That itself should 565 00:31:37,840 --> 00:31:47,440 Speaker 1: have a great increase in value for consumers. We covered 566 00:31:47,480 --> 00:31:50,320 Speaker 1: a broad range of topics about five G in this episode. 567 00:31:50,920 --> 00:31:53,680 Speaker 1: I hope you're as curious about five G now as 568 00:31:53,800 --> 00:31:57,200 Speaker 1: I became when I first started studying the subject. We 569 00:31:57,320 --> 00:32:00,479 Speaker 1: have just begun to describe the surface of the impact 570 00:32:00,560 --> 00:32:04,440 Speaker 1: five G will have. On our next episode, we'll look 571 00:32:04,480 --> 00:32:07,320 Speaker 1: at the global race to roll out the technology First, 572 00:32:08,280 --> 00:32:11,280 Speaker 1: the Chinese have already invested billions of dollars in five 573 00:32:11,480 --> 00:32:15,960 Speaker 1: G through companies such as Whahwei and ZT. South Korea 574 00:32:16,280 --> 00:32:19,600 Speaker 1: will launch five G nationwide in the next six months. 575 00:32:20,520 --> 00:32:23,720 Speaker 1: The United States as yet to announce its unified plan 576 00:32:24,160 --> 00:32:27,360 Speaker 1: to roll out five Z. This global race could have 577 00:32:27,560 --> 00:32:32,120 Speaker 1: serious repercussions on our national security. We'll explore all of 578 00:32:32,160 --> 00:32:35,440 Speaker 1: that and more in next week's episode. When I was 579 00:32:35,520 --> 00:32:38,680 Speaker 1: at the White House, I brought in a lot of 580 00:32:38,880 --> 00:32:41,400 Speaker 1: people and talked to a lot of people that actually 581 00:32:41,480 --> 00:32:45,680 Speaker 1: build networks for a living, and every single one of 582 00:32:45,760 --> 00:32:49,800 Speaker 1: them said, not only is China ahead of the United States, 583 00:32:50,480 --> 00:32:54,200 Speaker 1: they're far ahead of the United States. And so there's 584 00:32:54,240 --> 00:33:00,280 Speaker 1: two challenges with that. If you can essentially control all 585 00:33:00,360 --> 00:33:04,800 Speaker 1: of the infrastructure for those networks, then it has if 586 00:33:04,880 --> 00:33:09,000 Speaker 1: you wanted to, an enormous capability allows for surveillance. The 587 00:33:09,200 --> 00:33:12,480 Speaker 1: second piece, because of all these machines that are going 588 00:33:12,560 --> 00:33:15,200 Speaker 1: to be connected to these networks, it gives you the 589 00:33:15,320 --> 00:33:19,200 Speaker 1: ability to actually get into those machines and have them 590 00:33:19,280 --> 00:33:23,200 Speaker 1: do things that may not be what the original owners intended. 591 00:33:23,720 --> 00:33:32,560 Speaker 1: Thanks for listening. Thank you to my guest Terry Halverson 592 00:33:32,720 --> 00:33:36,480 Speaker 1: and Major General Robert Wheeler. You can see the articles, 593 00:33:36,720 --> 00:33:40,160 Speaker 1: videos and documents that we relied on in researching this 594 00:33:40,280 --> 00:33:45,360 Speaker 1: episode on our show page at Newtsworld dot com. Newtsworld 595 00:33:45,440 --> 00:33:49,680 Speaker 1: is produced by Westwood One. The executive producer is Debbie Myers. 596 00:33:50,280 --> 00:33:55,160 Speaker 1: Our producer is Gardzi Sloan. Our editor is Robert Boroski. 597 00:33:55,800 --> 00:33:59,560 Speaker 1: Our researcher is Rachel Peterson. The artwork for the show 598 00:34:00,200 --> 00:34:04,720 Speaker 1: was created by Steve music was composed by Joey self. 599 00:34:05,640 --> 00:34:08,320 Speaker 1: Special thanks to the team at Gingwish was sixty and 600 00:34:08,480 --> 00:34:13,239 Speaker 1: Westwood Ones, Tim Sabian and Robert Maples. Please subscribe to 601 00:34:13,320 --> 00:34:18,400 Speaker 1: Newtsworld on Apple podcast, Spotify, Google Podcast, or wherever you 602 00:34:18,600 --> 00:34:23,200 Speaker 1: get entertaining podcast. I'm Newt Gingrich. This is news World. 603 00:34:37,520 --> 00:34:40,640 Speaker 1: As you can tell from our first podcast, news World 604 00:34:40,719 --> 00:34:44,480 Speaker 1: can go almost anywhere and be about almost anything. So 605 00:34:44,600 --> 00:34:47,600 Speaker 1: I'm really curious. What's your feedback. What would you like 606 00:34:47,680 --> 00:34:51,000 Speaker 1: to hear more about? What topics really interest you? What 607 00:34:51,160 --> 00:34:53,280 Speaker 1: do you wish we were answering in terms of questions 608 00:34:53,320 --> 00:34:57,280 Speaker 1: about the larger world as well as newts World. 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