1 00:00:03,000 --> 00:00:05,520 Speaker 1: On last week's episode, we discussed sports and gaming in 2 00:00:05,519 --> 00:00:09,920 Speaker 1: a connected future. Krishna Baghavatula, chief Technology Officer of the NBA, 3 00:00:10,200 --> 00:00:14,160 Speaker 1: shared how new technologies will increasing engagement, viewership, and enhanced 4 00:00:14,160 --> 00:00:17,640 Speaker 1: the fan experience. Diana who, head of the augmented reality 5 00:00:17,680 --> 00:00:21,520 Speaker 1: platform at Niantic, spoke about how augmented reality in mobile 6 00:00:21,560 --> 00:00:25,520 Speaker 1: gaming stands to revolutionize the gaming business, and Charlie Hahn 7 00:00:25,800 --> 00:00:29,720 Speaker 1: from Microsoft's Hollow Lens team discusses how they're developing hardware 8 00:00:29,880 --> 00:00:41,360 Speaker 1: to tie these advancements together. The clothes we've always warned 9 00:00:41,360 --> 00:00:43,320 Speaker 1: to make us warm and comfortable and now on the 10 00:00:43,400 --> 00:00:46,680 Speaker 1: verge of making us smarter and always connected. The next 11 00:00:46,720 --> 00:00:49,680 Speaker 1: generation of wireless innovation with five G will create new 12 00:00:49,680 --> 00:00:53,080 Speaker 1: opportunities for connected consumers and the ever changing landscape of 13 00:00:53,120 --> 00:00:57,840 Speaker 1: smart wearable technology. Thanks to support from Teamobile for Business Today, 14 00:00:58,160 --> 00:01:02,280 Speaker 1: we'll explore how advancements in five connectivity would enable innovations 15 00:01:02,320 --> 00:01:05,679 Speaker 1: in connected smart clothing and in turn shape the future 16 00:01:05,680 --> 00:01:19,840 Speaker 1: of retail fashion and athletic wear. The only thing we 17 00:01:19,880 --> 00:01:21,800 Speaker 1: know about the future for sure is that it's something 18 00:01:21,920 --> 00:01:23,720 Speaker 1: going to be a lot different than the present, and 19 00:01:23,800 --> 00:01:26,959 Speaker 1: so how do we as a purveyor of this well loved, 20 00:01:27,240 --> 00:01:29,640 Speaker 1: well known object, how do we make sure that we 21 00:01:29,680 --> 00:01:32,880 Speaker 1: are maintaining relevance both with the consumer and then also 22 00:01:32,920 --> 00:01:36,720 Speaker 1: with our supply chain. That's Paul Dillinger, head of Global 23 00:01:36,760 --> 00:01:41,040 Speaker 1: Product Innovation at Levi Strauss. Yes that Levi's like a 24 00:01:41,120 --> 00:01:43,560 Speaker 1: pay you may have in your closet. For the last 25 00:01:43,560 --> 00:01:45,720 Speaker 1: six years, Paul has been tasked with the job of 26 00:01:45,720 --> 00:01:49,080 Speaker 1: bringing Levies into the space of wearable tech. A designer 27 00:01:49,120 --> 00:01:53,360 Speaker 1: by trade pools now making connected clothing. In a scenario, 28 00:01:53,400 --> 00:01:56,320 Speaker 1: for example, where potentially all objects in the future are 29 00:01:56,320 --> 00:01:58,520 Speaker 1: going to be connected, you don't want to disrupt the 30 00:01:58,560 --> 00:02:01,560 Speaker 1: apple cart too much, but all the other appercuts around 31 00:02:01,560 --> 00:02:04,480 Speaker 1: you are just tumbling, and so it's about practicing agility 32 00:02:05,000 --> 00:02:08,639 Speaker 1: and making sure that we never become comfortable with the 33 00:02:08,720 --> 00:02:14,000 Speaker 1: status quo. That's a broadly applicable sentiment, but in this case, 34 00:02:14,320 --> 00:02:17,959 Speaker 1: Paul is talking about genes thinking about design innovation for 35 00:02:18,000 --> 00:02:21,560 Speaker 1: a company whose value is really rooted in authenticity. The 36 00:02:21,639 --> 00:02:24,160 Speaker 1: object may be static, but it exists in an industrial 37 00:02:24,200 --> 00:02:28,480 Speaker 1: infrastructure and industrial ecology that's extremely dynamic. The way it's made, 38 00:02:28,880 --> 00:02:31,679 Speaker 1: how it's consumed, who buys it, and how they wear 39 00:02:31,840 --> 00:02:35,760 Speaker 1: These are all variables that are considerably different than when 40 00:02:35,800 --> 00:02:40,000 Speaker 1: the object was first invented. Retail has changed dramatically in 41 00:02:40,040 --> 00:02:42,480 Speaker 1: just the last few decades. You can shop on the go, 42 00:02:42,919 --> 00:02:45,359 Speaker 1: purchase items with one swipe or tap of your phone, 43 00:02:45,800 --> 00:02:49,040 Speaker 1: and in the fashion industry, retail is adapting to technology 44 00:02:49,200 --> 00:02:52,320 Speaker 1: by literally weaving it into the fabric. It seems like 45 00:02:52,320 --> 00:02:55,639 Speaker 1: the opportunity with the Internet of Things is really about 46 00:02:55,760 --> 00:02:57,920 Speaker 1: taking the things that are already proven, things that we 47 00:02:58,000 --> 00:03:01,679 Speaker 1: know that we want, things that have been validated by 48 00:03:02,080 --> 00:03:05,959 Speaker 1: preference and by affection. Let them get better, improve them, 49 00:03:06,240 --> 00:03:09,280 Speaker 1: enable them, connect them, and and that's sort of the 50 00:03:09,320 --> 00:03:12,240 Speaker 1: tactic we took with our most current expression of wearable 51 00:03:12,280 --> 00:03:15,280 Speaker 1: technology and Levis, which is our collaboration with Google Project 52 00:03:15,320 --> 00:03:19,480 Speaker 1: to Car the Levice trucker jacket enabled with the card technology. 53 00:03:19,560 --> 00:03:22,760 Speaker 1: That is a discrete expression of technology. It's quiet. With 54 00:03:22,840 --> 00:03:25,320 Speaker 1: a Levice smart jacket, you can accept a phone call 55 00:03:25,440 --> 00:03:28,480 Speaker 1: or drop a pin by swiping at your sleeve. Sensors 56 00:03:28,480 --> 00:03:31,280 Speaker 1: are woven into the fabric, enabling a new kind of interface. 57 00:03:31,800 --> 00:03:35,680 Speaker 1: Engineers and designers like Paul creating garments that serve entirely 58 00:03:35,720 --> 00:03:38,480 Speaker 1: new purposes and just keeping us warm. Or looking stylish. 59 00:03:39,080 --> 00:03:42,000 Speaker 1: The lower latency and greater connectivity that five G will 60 00:03:42,080 --> 00:03:45,680 Speaker 1: enable could radically expand the Internet of things, and your 61 00:03:45,680 --> 00:03:50,920 Speaker 1: clothing is no exception. Wearable tech is moving far beyond 62 00:03:51,000 --> 00:03:53,640 Speaker 1: your wrist and into your shoes, shirts, and jackets. So 63 00:03:53,720 --> 00:03:55,920 Speaker 1: how is this technology changing the way we use and 64 00:03:55,960 --> 00:03:59,040 Speaker 1: shop for clothes? In this episode, we'll look at the 65 00:03:59,080 --> 00:04:02,000 Speaker 1: future of retail and how connected clothing is changing the 66 00:04:02,040 --> 00:04:06,200 Speaker 1: way we think about apparel. I'm as veloshin Welcome to 67 00:04:06,320 --> 00:04:15,520 Speaker 1: This Time Tomorrow, Karrot. I actually didn't know about the 68 00:04:15,600 --> 00:04:19,039 Speaker 1: Levis smart jacket before we started on this episode, but 69 00:04:19,080 --> 00:04:22,280 Speaker 1: I really like what Paul said. Advanced and technology don't 70 00:04:22,279 --> 00:04:24,360 Speaker 1: always have to be in the service of creating new 71 00:04:24,400 --> 00:04:27,719 Speaker 1: gadgets or even types of interaction. They can sometimes be 72 00:04:27,760 --> 00:04:30,760 Speaker 1: about making things we already love better. You know, people 73 00:04:30,760 --> 00:04:33,560 Speaker 1: have been talking about the Internet of Things IoT for 74 00:04:33,640 --> 00:04:36,000 Speaker 1: a very long time, but we are at this moment 75 00:04:36,200 --> 00:04:38,599 Speaker 1: where it's on the verge of coming together in a 76 00:04:38,640 --> 00:04:42,360 Speaker 1: really powerful way, which is enabled by better AI and 77 00:04:42,560 --> 00:04:45,720 Speaker 1: more data from the objects that we even where, which 78 00:04:45,720 --> 00:04:48,000 Speaker 1: is where five G could really play a key role. 79 00:04:48,360 --> 00:04:50,839 Speaker 1: That's right. In our first episode, we coined a new 80 00:04:50,880 --> 00:04:55,560 Speaker 1: formula five G plus AI equals IoT. And when we 81 00:04:55,600 --> 00:04:58,520 Speaker 1: think about things and what things could be made better 82 00:04:58,600 --> 00:05:03,840 Speaker 1: by being connected, retail and in particular clothing offer huge opportunities. Yeah, 83 00:05:03,839 --> 00:05:07,720 Speaker 1: and the IoT can be much bigger than smart TVs. 84 00:05:07,839 --> 00:05:10,520 Speaker 1: You know, as we build more robust wireless networks, the 85 00:05:10,560 --> 00:05:13,080 Speaker 1: Internet of things could expand, like even two items that 86 00:05:13,440 --> 00:05:16,479 Speaker 1: we don't think have an affinity for technology, like a 87 00:05:16,560 --> 00:05:21,160 Speaker 1: denim jacket or even sportswear. Later in this episode, we're 88 00:05:21,160 --> 00:05:24,400 Speaker 1: going to hear from another pool, Paul Winsper, whose director 89 00:05:24,440 --> 00:05:28,080 Speaker 1: of athletic performance that under Armor over there, they're creating 90 00:05:28,080 --> 00:05:32,159 Speaker 1: connected clothing that captures data to help drive performance. And 91 00:05:32,200 --> 00:05:34,640 Speaker 1: I spoke with Natasha Frank, who is the founder of 92 00:05:34,680 --> 00:05:37,680 Speaker 1: a company called Ion, and she has a very different 93 00:05:37,800 --> 00:05:40,240 Speaker 1: vision of what the future of retail looks like and 94 00:05:40,279 --> 00:05:43,839 Speaker 1: it involves something called the circular economy. Wow. Well, before 95 00:05:43,839 --> 00:05:47,480 Speaker 1: we get there, let's circle back to Paul Dlinger at Levi's, 96 00:05:47,760 --> 00:05:50,520 Speaker 1: because it turns out the aspiration for the smart jacket 97 00:05:50,800 --> 00:05:53,440 Speaker 1: is about much more than a one off product. In fact, 98 00:05:53,440 --> 00:05:59,000 Speaker 1: the goal is to create a more sustainable fashion system. 99 00:05:59,080 --> 00:06:01,000 Speaker 1: It happened to me yesterday where I just grabbed what 100 00:06:01,080 --> 00:06:04,320 Speaker 1: I thought was my my favorite jean jacket, threw it on, realized, 101 00:06:04,360 --> 00:06:07,200 Speaker 1: oh shoot, I've actually put on my card jacket. It 102 00:06:07,400 --> 00:06:10,400 Speaker 1: was at a glance indistinguishable from a conventional, you know, 103 00:06:10,560 --> 00:06:13,480 Speaker 1: ten year old jacket that I had. We've created an 104 00:06:13,480 --> 00:06:18,440 Speaker 1: amazing digital opportunity that can disappear into the Levi's assortment 105 00:06:18,480 --> 00:06:22,640 Speaker 1: so seamlessly by design that it makes it difficult to find. 106 00:06:23,360 --> 00:06:26,040 Speaker 1: I was surprised to learn this wasn't the first foray 107 00:06:26,080 --> 00:06:28,960 Speaker 1: into connected clothing for Levis. There was, you know, in 108 00:06:29,000 --> 00:06:31,679 Speaker 1: the late nineties, very early form of a connected jacket. 109 00:06:32,120 --> 00:06:36,760 Speaker 1: Looking back with hindsight of twenty years, it's quaint. I'm 110 00:06:36,800 --> 00:06:38,760 Speaker 1: proud that we were so bold as to go into 111 00:06:38,760 --> 00:06:41,559 Speaker 1: that space. But yeah, I could hold five MP three's. 112 00:06:42,200 --> 00:06:45,520 Speaker 1: The Levi Smart Jacket launched in TwixT and Paul was 113 00:06:45,560 --> 00:06:48,599 Speaker 1: the lead designer. Just like some of the first denim items, 114 00:06:48,680 --> 00:06:51,279 Speaker 1: it was built with a clear purpose, in this instance, 115 00:06:51,600 --> 00:06:55,440 Speaker 1: to keep people safe. It wasn't about integrating tactical interface 116 00:06:55,520 --> 00:06:57,880 Speaker 1: and little teeny tiny washable computers for the hell of it, 117 00:06:58,000 --> 00:07:00,960 Speaker 1: but it was to make people's daily commute on their 118 00:07:00,960 --> 00:07:03,760 Speaker 1: bike safer. Eyes up, eyes on the road, eyes at 119 00:07:03,760 --> 00:07:05,960 Speaker 1: the beautiful environment around you, instead of eyes on this 120 00:07:06,080 --> 00:07:10,120 Speaker 1: little tiny phone when you're traveling about twenty miles an 121 00:07:10,160 --> 00:07:12,679 Speaker 1: hour on a pretty dangerous, bumpy, pop hole ridden street 122 00:07:12,680 --> 00:07:16,000 Speaker 1: in San Francisco. And so this idea that a lot 123 00:07:16,000 --> 00:07:18,040 Speaker 1: of what we do on our phones is purely about 124 00:07:18,080 --> 00:07:21,400 Speaker 1: touch and not necessarily about visual feedback. A little bit 125 00:07:21,400 --> 00:07:24,160 Speaker 1: of haptic, a little vibration, maybe a little glow of 126 00:07:24,200 --> 00:07:26,560 Speaker 1: a light on the cuff of a garment to acknowledge 127 00:07:26,560 --> 00:07:29,440 Speaker 1: that a task has been understood and executed. Maybe we 128 00:07:29,480 --> 00:07:33,680 Speaker 1: could use this opportunity to build the interface into something familiar, 129 00:07:34,240 --> 00:07:37,480 Speaker 1: not between our eyes, our finger and this phone, but 130 00:07:37,600 --> 00:07:40,800 Speaker 1: really just a gesture and the garment that we would 131 00:07:40,800 --> 00:07:43,880 Speaker 1: already be wearing. Otherwise, when Paul talks about all these 132 00:07:43,920 --> 00:07:46,680 Speaker 1: capabilities of a jacket, like allowing you that you've left 133 00:07:46,680 --> 00:07:49,240 Speaker 1: your phone in a restaurant at you've left, it doesn't 134 00:07:49,240 --> 00:07:51,880 Speaker 1: make you think about clothing in a new light. And 135 00:07:51,920 --> 00:07:55,160 Speaker 1: so we started to narrow down this opportunity for interface 136 00:07:55,200 --> 00:07:58,240 Speaker 1: to just those abilities that were necessary for people who 137 00:07:58,280 --> 00:08:00,600 Speaker 1: are on a bike. So the idea that we were 138 00:08:00,600 --> 00:08:03,200 Speaker 1: taking a device that could do everything by putting in 139 00:08:03,200 --> 00:08:06,440 Speaker 1: the pocket and bluetoothing it through a garment to a 140 00:08:06,520 --> 00:08:08,880 Speaker 1: space on the left cuff that has been enabled for 141 00:08:08,960 --> 00:08:11,880 Speaker 1: touch interface, so that you're only doing those things that 142 00:08:11,920 --> 00:08:15,720 Speaker 1: are enabled through this technology and thereby increasing your safety 143 00:08:15,760 --> 00:08:18,760 Speaker 1: on your pike ride. The more exciting thing for me 144 00:08:18,880 --> 00:08:21,679 Speaker 1: is that six months after the jacket was first released, 145 00:08:22,200 --> 00:08:24,280 Speaker 1: we've been looking at how it was being used and 146 00:08:24,320 --> 00:08:26,680 Speaker 1: we were realizing that we've designed something great for the 147 00:08:26,720 --> 00:08:30,440 Speaker 1: week day urban and commuting cyclist, but I want them 148 00:08:30,440 --> 00:08:32,560 Speaker 1: to love by product seven days a week. So we 149 00:08:32,640 --> 00:08:34,800 Speaker 1: ended up thinking of what are the functions that could 150 00:08:34,920 --> 00:08:37,640 Speaker 1: enable this jacket to become your favorite weekend jacket, and 151 00:08:37,640 --> 00:08:41,160 Speaker 1: it was interface with Uber and Lift. It was making 152 00:08:41,200 --> 00:08:45,520 Speaker 1: this jacket a mechanism to manage your your ridesharing service. 153 00:08:45,520 --> 00:08:48,559 Speaker 1: And that new ability was introduced six months after the 154 00:08:48,559 --> 00:08:51,280 Speaker 1: garment first came to market. Now, I'm not promising that 155 00:08:51,360 --> 00:08:53,520 Speaker 1: jacket does everything right now, there's you know, upwards of 156 00:08:53,600 --> 00:08:58,360 Speaker 1: twenty distinct abilities and that's growing constantly. The is the 157 00:08:58,400 --> 00:09:01,920 Speaker 1: retail industry has been built around selling new products, but 158 00:09:02,000 --> 00:09:03,760 Speaker 1: one of the things that Pool has worked to achieve 159 00:09:04,240 --> 00:09:08,199 Speaker 1: is making sure that connected products are adaptable and essentially upgradeable, 160 00:09:08,720 --> 00:09:11,720 Speaker 1: that's something entirely new for the retail space. And instead 161 00:09:11,840 --> 00:09:14,440 Speaker 1: we were saying, the design you have is good sound, 162 00:09:14,600 --> 00:09:17,560 Speaker 1: but let's give you another ability. Let's give you fashion 163 00:09:17,600 --> 00:09:20,720 Speaker 1: in the form of digital improvement. So that overnight everyone 164 00:09:20,760 --> 00:09:22,600 Speaker 1: just got a little push notification saying, hey, check out 165 00:09:22,640 --> 00:09:25,120 Speaker 1: your jacket. It does something new, but also showed that 166 00:09:25,160 --> 00:09:28,439 Speaker 1: fashion doesn't necessarily have to be a new object, but 167 00:09:28,559 --> 00:09:32,200 Speaker 1: can be something as simple as new capabilities added to 168 00:09:32,200 --> 00:09:35,160 Speaker 1: a garment that's already in the closet. The true opportunity 169 00:09:35,200 --> 00:09:38,120 Speaker 1: for this kind of wearable technology as a platform rather 170 00:09:38,160 --> 00:09:41,000 Speaker 1: than as a gadget. It's starting to become evident because 171 00:09:41,640 --> 00:09:44,400 Speaker 1: two years on, when we've released the card version two, 172 00:09:45,080 --> 00:09:47,640 Speaker 1: all of those new abilities and upgrades were still pushed 173 00:09:47,679 --> 00:09:49,720 Speaker 1: out to the two year old jacket that was already 174 00:09:49,720 --> 00:09:51,719 Speaker 1: in the closet of the people who were early adopters. 175 00:09:52,440 --> 00:09:56,320 Speaker 1: So clothes become a kind of platform that enabled connectivity 176 00:09:56,520 --> 00:09:58,640 Speaker 1: not only to our devices, but to the brands that 177 00:09:58,720 --> 00:10:02,480 Speaker 1: created them. We could imagine new economies and new systems 178 00:10:02,480 --> 00:10:07,000 Speaker 1: of commerce that don't necessarily rely on creation of new objects. 179 00:10:07,240 --> 00:10:09,840 Speaker 1: And so I'd like people to think about the opportunity 180 00:10:09,880 --> 00:10:13,800 Speaker 1: for connected clothing and digital platforms embedded into garments as 181 00:10:13,800 --> 00:10:15,360 Speaker 1: one of the ways that we can approach a more 182 00:10:15,400 --> 00:10:19,920 Speaker 1: sustainable fashion system. If this is happening now, it doesn't 183 00:10:19,920 --> 00:10:23,080 Speaker 1: make you want to what might happen when networks become faster. 184 00:10:25,120 --> 00:10:28,160 Speaker 1: For what we're doing, speed is always better, More speed 185 00:10:28,200 --> 00:10:32,000 Speaker 1: better great, Yes, I think that's understood. More power is 186 00:10:32,040 --> 00:10:36,120 Speaker 1: also better. The more we're asking the garment to do, 187 00:10:36,240 --> 00:10:39,960 Speaker 1: and the more we're asking garments to collaborate with devices, 188 00:10:40,520 --> 00:10:43,599 Speaker 1: the more power we're needing. If the jackets talking to 189 00:10:43,679 --> 00:10:46,559 Speaker 1: the phone and doing stuff, can the gene be harvesting 190 00:10:46,559 --> 00:10:49,319 Speaker 1: the energy of walking or skipping or dancing or any 191 00:10:49,360 --> 00:10:50,840 Speaker 1: of the things that you know that we could be 192 00:10:50,840 --> 00:10:53,960 Speaker 1: capturing some of that value. I think what we all 193 00:10:53,960 --> 00:10:57,280 Speaker 1: need to do is get better at communicating the opportunity 194 00:10:57,480 --> 00:11:02,800 Speaker 1: and encouraging people to understand new values from the familiar objects, 195 00:11:02,840 --> 00:11:05,439 Speaker 1: and then eventually they're going to come to expect those 196 00:11:05,440 --> 00:11:13,320 Speaker 1: new values from the object. Karat Leavi smart jackets connect 197 00:11:13,320 --> 00:11:16,080 Speaker 1: to your phone by Bluetooth, and of course your phone 198 00:11:16,200 --> 00:11:18,880 Speaker 1: is connected to the wireless network. So it's fascinating to 199 00:11:18,920 --> 00:11:21,440 Speaker 1: think how the adoption of five G could enable even 200 00:11:21,480 --> 00:11:25,080 Speaker 1: more functions in connected clothing. One of our guests from 201 00:11:25,080 --> 00:11:28,760 Speaker 1: early in the series, Andrea Goldsmith of the Stanford Wires Lab, 202 00:11:29,080 --> 00:11:32,040 Speaker 1: talked about exactly this. Five G networks are being built 203 00:11:32,080 --> 00:11:35,479 Speaker 1: with the bandwidth to support many more devices, and advances 204 00:11:35,480 --> 00:11:37,800 Speaker 1: in low powered sensors could one day allow clothing to 205 00:11:37,840 --> 00:11:40,400 Speaker 1: speak directly to the network without needing to root through 206 00:11:40,440 --> 00:11:43,920 Speaker 1: the phone. Perhaps before long, we'll be able to leave 207 00:11:44,000 --> 00:11:47,800 Speaker 1: home without our phones, without this fear of being completely disconnected. 208 00:11:48,280 --> 00:11:51,120 Speaker 1: Our clothes could be the thing giving us access to 209 00:11:51,200 --> 00:11:54,200 Speaker 1: essential communication. I also find the idea of buying one 210 00:11:54,280 --> 00:11:58,120 Speaker 1: jacket that can be upgraded with software to be really innovative. 211 00:11:58,679 --> 00:12:01,840 Speaker 1: Paul points out that as connected products provide more functions, 212 00:12:02,280 --> 00:12:05,360 Speaker 1: they may become more relevant than owning a new physical product, 213 00:12:05,600 --> 00:12:07,960 Speaker 1: and that could help us break the fast fashion paradigm 214 00:12:07,960 --> 00:12:10,920 Speaker 1: that's been quite detrimental to the environment. We'll think about 215 00:12:10,920 --> 00:12:14,440 Speaker 1: our grandparents or even our parents who took things to 216 00:12:14,600 --> 00:12:18,880 Speaker 1: the repairs. When was the last week to repair? You know? 217 00:12:19,000 --> 00:12:22,520 Speaker 1: Now we're more likely to just buy something new. So 218 00:12:22,840 --> 00:12:25,000 Speaker 1: talking to Paul, it's really cool to think about an 219 00:12:25,000 --> 00:12:27,600 Speaker 1: alternative that could be right around the corner. So one 220 00:12:27,679 --> 00:12:29,880 Speaker 1: function of connected clothing is that it can make your 221 00:12:29,920 --> 00:12:33,760 Speaker 1: life easier or safer. Another is that it can improve 222 00:12:33,880 --> 00:12:37,320 Speaker 1: your performance by gathering data. And that's what I discussed 223 00:12:37,320 --> 00:12:42,880 Speaker 1: with Paul Winsberg at under Armor. I decided to try 224 00:12:42,920 --> 00:12:46,400 Speaker 1: and see if we could take what we know from 225 00:12:46,440 --> 00:12:50,000 Speaker 1: working at the highest level of professional sport and could 226 00:12:50,080 --> 00:12:53,520 Speaker 1: we democratize this and give it to everybody. Could we 227 00:12:53,600 --> 00:12:58,560 Speaker 1: take this knowledge and scientific principles and whether you're a 228 00:12:58,640 --> 00:13:01,679 Speaker 1: sixteen year old all wanting to make a varsity volleyball 229 00:13:01,679 --> 00:13:05,199 Speaker 1: team or a young kid in Brazil wanting to make 230 00:13:05,240 --> 00:13:07,400 Speaker 1: some kind of soccer team, is can we give you 231 00:13:07,440 --> 00:13:10,000 Speaker 1: the tools? Can we give you the edge to get 232 00:13:10,040 --> 00:13:13,280 Speaker 1: there faster? This Pool is the head of the Innovation 233 00:13:13,360 --> 00:13:17,240 Speaker 1: Lab at under Armor and an expert in athletic performance. 234 00:13:17,720 --> 00:13:19,599 Speaker 1: Over the course of his career, he's worked at the 235 00:13:19,640 --> 00:13:23,320 Speaker 1: highest level of professional sport, the Seattle Seahawks, that Toronto 236 00:13:23,400 --> 00:13:27,079 Speaker 1: Maple Leaves and Newcastle Football Club or soccer as we 237 00:13:27,160 --> 00:13:29,160 Speaker 1: call it over here, as well as with athletes like 238 00:13:29,200 --> 00:13:32,720 Speaker 1: Tom Brady and Steph Curry. Now at under Arma, Paul 239 00:13:32,760 --> 00:13:35,840 Speaker 1: works to create connected clothing that can use data to 240 00:13:35,920 --> 00:13:39,760 Speaker 1: boost athletic performance. We want to make athletes better. We 241 00:13:39,800 --> 00:13:43,959 Speaker 1: want to give people these tools and and just basically 242 00:13:44,160 --> 00:13:46,760 Speaker 1: make them aware that you know, good footwear and good 243 00:13:46,800 --> 00:13:53,160 Speaker 1: apparel and having smarter fabrics can enhance that journey and 244 00:13:53,200 --> 00:13:56,920 Speaker 1: give them relevant, contextualized data at the right time. We 245 00:13:57,000 --> 00:14:00,559 Speaker 1: spend a lot of time understanding consumer of journeys and 246 00:14:00,679 --> 00:14:06,280 Speaker 1: understanding how people are currently engaging in digital environments. What 247 00:14:06,320 --> 00:14:10,360 Speaker 1: Paul Winsburg is saying echoes what Paul Dillinger of Levis said. 248 00:14:10,800 --> 00:14:15,040 Speaker 1: Successfully integrating new technologies like five G into existing products 249 00:14:15,040 --> 00:14:19,440 Speaker 1: and industries starts with understanding user needs and at under 250 00:14:19,480 --> 00:14:22,280 Speaker 1: round them those users around the gamut from people like 251 00:14:22,440 --> 00:14:26,040 Speaker 1: Kara and me two people like Steph Curry, who are 252 00:14:26,640 --> 00:14:30,560 Speaker 1: you know, traveling across hundreds of time zones across the season, 253 00:14:30,840 --> 00:14:34,680 Speaker 1: training really hard. Obviously he's pushing his body two different 254 00:14:34,720 --> 00:14:37,720 Speaker 1: limits and new limits and has to find different ways 255 00:14:37,760 --> 00:14:39,920 Speaker 1: to adapt. But at the end of the day, it's 256 00:14:39,960 --> 00:14:42,760 Speaker 1: the It's the same for the general guy in the street. 257 00:14:42,800 --> 00:14:45,160 Speaker 1: You know. They get up early, they tend to family, 258 00:14:45,200 --> 00:14:48,040 Speaker 1: they do a full day's work, they travel that gets 259 00:14:48,040 --> 00:14:50,440 Speaker 1: stuck in traffic, they're stressed, and they're still having't the 260 00:14:50,520 --> 00:14:54,800 Speaker 1: fine time to exercise eat well, sleep well, so that 261 00:14:55,080 --> 00:14:57,160 Speaker 1: the challenges are the same you no matter whether you're 262 00:14:57,160 --> 00:14:59,320 Speaker 1: trying to win a m v P of the League 263 00:14:59,440 --> 00:15:01,240 Speaker 1: in the nb A or whether you're trying to just 264 00:15:01,480 --> 00:15:05,000 Speaker 1: perform and keep yourself healthy and well and being a 265 00:15:05,000 --> 00:15:07,280 Speaker 1: good parent or a good friend or a good husband 266 00:15:07,360 --> 00:15:10,760 Speaker 1: or whatever. So I see it is very much the 267 00:15:10,800 --> 00:15:13,680 Speaker 1: same with a ton of overlap. We expect a great 268 00:15:13,720 --> 00:15:16,520 Speaker 1: deal of our athletic clothes, but we don't typically think 269 00:15:16,560 --> 00:15:20,360 Speaker 1: of them as items that can increase our performance or productivity. 270 00:15:20,480 --> 00:15:22,840 Speaker 1: In talking to Pool, I realized that may be coming 271 00:15:22,880 --> 00:15:26,560 Speaker 1: in the future if brands can execute. You think about 272 00:15:26,680 --> 00:15:28,880 Speaker 1: apparel that's going to have to be washed again and 273 00:15:28,920 --> 00:15:33,280 Speaker 1: again and again. You think about how you're connected, and 274 00:15:33,400 --> 00:15:35,600 Speaker 1: all of a sudden, there's like a ton of friction 275 00:15:35,640 --> 00:15:39,720 Speaker 1: building to the experience. And unless we can actually sell 276 00:15:40,160 --> 00:15:44,320 Speaker 1: the consumer a real benefit of investing significant money in 277 00:15:44,680 --> 00:15:48,920 Speaker 1: a smart piece of apparel, it becomes really difficult. I 278 00:15:48,960 --> 00:15:51,840 Speaker 1: wanted to know more about how under Armur was making 279 00:15:51,920 --> 00:15:55,240 Speaker 1: clothing that has the potential to keep us healthier, and 280 00:15:55,240 --> 00:15:57,200 Speaker 1: that has a lot to do with data. You think 281 00:15:57,240 --> 00:16:01,480 Speaker 1: about when people interact with day data is what if 282 00:16:01,520 --> 00:16:05,360 Speaker 1: that data could be surprisingly relevant when you picked your 283 00:16:05,360 --> 00:16:08,360 Speaker 1: phone up and you go ha, as opposed to like, 284 00:16:09,400 --> 00:16:12,280 Speaker 1: and it's something that delights every time they open it 285 00:16:12,360 --> 00:16:15,440 Speaker 1: with this surprise and relevancy here. So it's kind of 286 00:16:15,480 --> 00:16:18,800 Speaker 1: taken the consumer into a place that doesn't aggravate and 287 00:16:18,840 --> 00:16:22,440 Speaker 1: agitate the daily manutua of the data that has to 288 00:16:22,480 --> 00:16:25,280 Speaker 1: be surprisingly relevant to the culture at that point in time. 289 00:16:25,840 --> 00:16:28,160 Speaker 1: And then there's the end of season review with all 290 00:16:28,200 --> 00:16:30,880 Speaker 1: of the data, which looks at the big trends across 291 00:16:30,920 --> 00:16:35,240 Speaker 1: the full season, where people go like wow. And that 292 00:16:35,320 --> 00:16:38,120 Speaker 1: to me is that moment is when you culminate all 293 00:16:38,160 --> 00:16:40,440 Speaker 1: of that data and pull it together as one big 294 00:16:40,560 --> 00:16:44,760 Speaker 1: data set, and then you compare and contrasted against millions 295 00:16:44,760 --> 00:16:46,960 Speaker 1: of other users and you start to look that's when 296 00:16:47,040 --> 00:16:50,720 Speaker 1: big data becomes really fun, and I mean fun. One 297 00:16:50,760 --> 00:16:53,400 Speaker 1: product under Arm has developed that will collect an analyzing 298 00:16:53,440 --> 00:16:57,080 Speaker 1: new data is the smart Shoe. We have a pretty 299 00:16:57,120 --> 00:17:00,960 Speaker 1: incredible powerful chip in our running shoes and we're very, 300 00:17:01,040 --> 00:17:03,480 Speaker 1: very proud of this chip and it's as accurate as 301 00:17:03,520 --> 00:17:07,440 Speaker 1: a really expensive run watch, and the battery dies after 302 00:17:07,480 --> 00:17:10,720 Speaker 1: the life of the cushioning platform within the shoe, and 303 00:17:10,760 --> 00:17:14,320 Speaker 1: we're just getting started understanding all of this amazing data 304 00:17:14,400 --> 00:17:18,760 Speaker 1: from stride length and cadence and all of this amazing 305 00:17:18,880 --> 00:17:22,720 Speaker 1: data to drive context back to a runner, and that 306 00:17:22,800 --> 00:17:24,960 Speaker 1: data can be very valuable for the wear of the 307 00:17:25,000 --> 00:17:27,960 Speaker 1: shoe if the shoe fits and the data is right. 308 00:17:28,720 --> 00:17:32,240 Speaker 1: Most people come into a fitness world with some kind 309 00:17:32,280 --> 00:17:34,840 Speaker 1: of goal, whether it's weight loss, or run the first 310 00:17:34,880 --> 00:17:36,960 Speaker 1: five k, or try and make some kind of team 311 00:17:37,000 --> 00:17:40,000 Speaker 1: if it's a more youth based athlete all whether it's 312 00:17:40,040 --> 00:17:43,280 Speaker 1: just about living a healthier, longer life. Data can help 313 00:17:43,880 --> 00:17:46,960 Speaker 1: really inform that journey. It can help you make better decisions. 314 00:17:47,520 --> 00:17:51,440 Speaker 1: I think it can help you understand are you doing 315 00:17:51,440 --> 00:17:54,280 Speaker 1: too much? Are you're not doing enough? So people have 316 00:17:54,480 --> 00:17:57,280 Speaker 1: this primal urge and need to be connected, and I 317 00:17:57,320 --> 00:18:01,120 Speaker 1: think that the whole fitness and performance based industry has 318 00:18:01,800 --> 00:18:04,040 Speaker 1: a big role to play in that is like connecting 319 00:18:04,080 --> 00:18:07,720 Speaker 1: people with the same physical emotional drivers. You know, how 320 00:18:07,760 --> 00:18:13,959 Speaker 1: can you just connect people with similar goals to relevant 321 00:18:14,480 --> 00:18:17,320 Speaker 1: information at that point in time? And I think there's 322 00:18:17,359 --> 00:18:20,520 Speaker 1: so much power when you get a group of people 323 00:18:20,600 --> 00:18:25,080 Speaker 1: creating a movement that is not led by a big 324 00:18:25,119 --> 00:18:28,520 Speaker 1: brand or a big corporation. I am excited about the 325 00:18:28,560 --> 00:18:30,879 Speaker 1: future state, But I think there's still so much to 326 00:18:31,000 --> 00:18:36,119 Speaker 1: unravel to get consumers to understand the right data at 327 00:18:36,200 --> 00:18:40,600 Speaker 1: the right time to help them on their particular journey. 328 00:18:45,320 --> 00:18:49,199 Speaker 1: The future with five G is coming today. T Mobile 329 00:18:49,280 --> 00:18:52,400 Speaker 1: is leading the five G charge with thirty billion dollars 330 00:18:52,440 --> 00:18:57,240 Speaker 1: invested in their network to deliver new capabilities, improved connectivity 331 00:18:57,320 --> 00:19:00,360 Speaker 1: and true mobility provided by an advanced network. Work from 332 00:19:00,359 --> 00:19:02,960 Speaker 1: T Mobile for Business could change the way we all 333 00:19:03,040 --> 00:19:06,040 Speaker 1: live and work. The five G era will take the 334 00:19:06,080 --> 00:19:09,439 Speaker 1: best technologies available today in the wireless space so that 335 00:19:09,520 --> 00:19:13,280 Speaker 1: you can offer new capabilities to your business customers. T 336 00:19:13,480 --> 00:19:16,000 Speaker 1: Mobile for Business knows that the future of business will 337 00:19:16,000 --> 00:19:19,640 Speaker 1: be powered by advancements in wireless networks. With these new 338 00:19:19,680 --> 00:19:22,399 Speaker 1: technologies opening the doors for better ways to get the 339 00:19:22,480 --> 00:19:26,520 Speaker 1: job done. Business is changing. Learn more at t Mobile 340 00:19:26,560 --> 00:19:34,199 Speaker 1: for Business dot com. Carrot. One of the things I 341 00:19:34,280 --> 00:19:37,399 Speaker 1: found really interesting about the conversation with Pool is how 342 00:19:37,480 --> 00:19:40,240 Speaker 1: much attention he pays to using data to create better 343 00:19:40,320 --> 00:19:43,760 Speaker 1: outcomes for uses. Yeah, and we live in the age 344 00:19:43,760 --> 00:19:47,480 Speaker 1: of big data, but our capacity as people to process 345 00:19:47,560 --> 00:19:49,960 Speaker 1: data and make it work for us is actually really limited, 346 00:19:50,320 --> 00:19:53,119 Speaker 1: and that's why advances in AI are exciting because with 347 00:19:53,200 --> 00:19:55,840 Speaker 1: a layer of interpretation, that data can actually help us 348 00:19:55,840 --> 00:19:58,920 Speaker 1: make better decisions. But as Paul told you, it's still 349 00:19:58,960 --> 00:20:01,439 Speaker 1: important to think about how and where that data is 350 00:20:01,440 --> 00:20:04,520 Speaker 1: actually served. Well. That's why a future five G networks 351 00:20:04,560 --> 00:20:07,320 Speaker 1: could play such an important role. One of the exciting 352 00:20:07,359 --> 00:20:11,600 Speaker 1: promises is so called edge computing. Currently, data has to 353 00:20:11,640 --> 00:20:13,800 Speaker 1: go all the way to the cloud to be processed, 354 00:20:14,240 --> 00:20:16,719 Speaker 1: but in the next generation of wireless it could be 355 00:20:16,760 --> 00:20:21,520 Speaker 1: processed locally on small cells to give actionable recommendations in 356 00:20:21,600 --> 00:20:24,320 Speaker 1: real time. We've already talked in this episode about how 357 00:20:24,359 --> 00:20:28,080 Speaker 1: the next generation of wireless technology could allow clothing to 358 00:20:28,119 --> 00:20:31,400 Speaker 1: connect directly to the network, and I wanted to learn 359 00:20:31,480 --> 00:20:33,960 Speaker 1: more about what that could mean, so I spoke to 360 00:20:34,040 --> 00:20:36,600 Speaker 1: Natasha Frank, who is the CEO of a startup called 361 00:20:36,680 --> 00:20:40,360 Speaker 1: Eon and they work with companies to add digital tags 362 00:20:40,359 --> 00:20:43,919 Speaker 1: to products, which allows retailers to maintain a relationship with 363 00:20:43,960 --> 00:20:47,199 Speaker 1: a consumer and the product after a point of sale. 364 00:20:47,800 --> 00:20:54,679 Speaker 1: Here's Natasha. I'm founder and CEO of a startup called Eon, 365 00:20:55,240 --> 00:20:58,280 Speaker 1: and we work with global brands and retailers to create 366 00:20:58,320 --> 00:21:05,199 Speaker 1: connected products and bring transparency to the entire product life cycle. Today, 367 00:21:05,200 --> 00:21:08,880 Speaker 1: when brands and retailers make a product, there is no 368 00:21:09,240 --> 00:21:12,640 Speaker 1: data in that product, and when that product goes out 369 00:21:12,680 --> 00:21:15,920 Speaker 1: the door, there's no way for that product to tell 370 00:21:15,960 --> 00:21:18,879 Speaker 1: you its story. And so when we look at the 371 00:21:18,880 --> 00:21:23,199 Speaker 1: world of connected products, every product has an identity and 372 00:21:23,320 --> 00:21:27,480 Speaker 1: that means that it's possible to one communicate about products, 373 00:21:27,680 --> 00:21:30,520 Speaker 1: and it's also possible for brands to connect with customers 374 00:21:30,560 --> 00:21:34,320 Speaker 1: through physical products. Natasha works with brands like Target and 375 00:21:34,359 --> 00:21:37,119 Speaker 1: Calvin Klein to help them track the life cycle of 376 00:21:37,119 --> 00:21:41,439 Speaker 1: a product. Eon supports something called the circular economy, So 377 00:21:41,480 --> 00:21:45,200 Speaker 1: how do they make sure that their products are being utilized, 378 00:21:45,240 --> 00:21:50,000 Speaker 1: are being resold, are being repaired, are being recycled. How 379 00:21:50,000 --> 00:21:52,840 Speaker 1: do they make sure that those materials that went into 380 00:21:52,920 --> 00:21:56,840 Speaker 1: making those products can come back into what we call 381 00:21:57,040 --> 00:22:00,600 Speaker 1: the circular economy and be reused to make new produ ducts. 382 00:22:00,720 --> 00:22:03,560 Speaker 1: It all starts with tracking the products after they've been sold. 383 00:22:03,840 --> 00:22:06,160 Speaker 1: So our f I D is basically a chip that's 384 00:22:06,160 --> 00:22:08,320 Speaker 1: in the hand tag of a product, and brands remove 385 00:22:08,440 --> 00:22:11,200 Speaker 1: that the moment they sell a product, so all that 386 00:22:11,320 --> 00:22:14,560 Speaker 1: data that identified a product is gone the moment you 387 00:22:14,600 --> 00:22:18,040 Speaker 1: sell it. The next gen of that is actually embedding 388 00:22:18,080 --> 00:22:20,200 Speaker 1: that data or that r f I D chip into 389 00:22:20,240 --> 00:22:24,159 Speaker 1: the physical product, into the textile itself, so that intelligence 390 00:22:24,200 --> 00:22:27,440 Speaker 1: doesn't stop at point of sale, but continues beyond point 391 00:22:27,440 --> 00:22:30,240 Speaker 1: of sale. We store that data in the cloud. So 392 00:22:30,280 --> 00:22:34,600 Speaker 1: now when a reseller or recycler wants to find out 393 00:22:34,600 --> 00:22:37,560 Speaker 1: the material content in order to recycle it, they can 394 00:22:37,600 --> 00:22:40,680 Speaker 1: scan it. In order for a consumer to upload a 395 00:22:40,720 --> 00:22:45,679 Speaker 1: product or their digital wardrobe, they can scan it. The 396 00:22:45,680 --> 00:22:49,480 Speaker 1: world na Tasha describes allows for all kinds of optimizations 397 00:22:49,520 --> 00:22:52,720 Speaker 1: for brands and consumers. Now that that data is in 398 00:22:52,760 --> 00:22:56,240 Speaker 1: the physical item, that item becomes what we call a 399 00:22:56,280 --> 00:22:59,720 Speaker 1: smart product. That item is able to communicate and also 400 00:23:00,160 --> 00:23:03,760 Speaker 1: take in data. That customer can put information about whether 401 00:23:04,000 --> 00:23:06,320 Speaker 1: they like the product, whether they didn't like the product, 402 00:23:06,359 --> 00:23:09,119 Speaker 1: whether this broke, whether they want a recommendation of something 403 00:23:09,160 --> 00:23:13,719 Speaker 1: that matches with that product. There could be the issue 404 00:23:13,920 --> 00:23:17,320 Speaker 1: of connected clothing and privacy, So I asked Natasha what 405 00:23:17,400 --> 00:23:20,240 Speaker 1: she thought about this. We're storing product data and not 406 00:23:20,400 --> 00:23:24,199 Speaker 1: customer data, so that's a super delicate balance. Um, we 407 00:23:24,240 --> 00:23:26,760 Speaker 1: don't identify the customer unless the customer wants to be 408 00:23:26,800 --> 00:23:29,800 Speaker 1: associated with the product, But really we're just holding data 409 00:23:29,800 --> 00:23:33,520 Speaker 1: about the product. According to Natasha, this product data also 410 00:23:33,640 --> 00:23:37,720 Speaker 1: offers opportunities to reduce the environmental impact of the fashion industry. 411 00:23:38,160 --> 00:23:41,560 Speaker 1: You take natural resources, you make products, and you produce waste. 412 00:23:41,720 --> 00:23:44,040 Speaker 1: So that's what we call the linear model. So in 413 00:23:44,119 --> 00:23:47,400 Speaker 1: a circular modeled resources and materials and products are kept 414 00:23:47,440 --> 00:23:51,720 Speaker 1: constantly in use. So for me, it seemed that the 415 00:23:51,720 --> 00:23:54,800 Speaker 1: biggest barriers to circular economy was that there is no 416 00:23:54,880 --> 00:23:57,800 Speaker 1: way to identify products and materials after point of sale. 417 00:23:57,920 --> 00:24:01,399 Speaker 1: And so when we create a connected product, we also 418 00:24:01,440 --> 00:24:04,399 Speaker 1: say that we're creating an intelligent asset. We're creating a 419 00:24:04,440 --> 00:24:10,359 Speaker 1: product that has embedded intelligence that is essential from managing 420 00:24:10,400 --> 00:24:15,280 Speaker 1: that product and also bringing accountability to circular economy. Natasha's 421 00:24:15,359 --> 00:24:17,959 Speaker 1: vision provides a very different view of the retail space, 422 00:24:18,560 --> 00:24:21,840 Speaker 1: one that fully embraces the Internet of Things or IoT, 423 00:24:22,600 --> 00:24:25,280 Speaker 1: and that's another area we imagine will be transformed by 424 00:24:25,320 --> 00:24:29,520 Speaker 1: five G. We're creating connected products, so it's how do 425 00:24:29,600 --> 00:24:33,600 Speaker 1: these products speak quickly and efficiently to partners, and how 426 00:24:33,640 --> 00:24:36,080 Speaker 1: do we reduce the lag time of the connectivity of 427 00:24:36,119 --> 00:24:40,040 Speaker 1: these products and make a more seamless customer experience. So 428 00:24:40,080 --> 00:24:43,680 Speaker 1: the quicker that information can flow through, the more benefit 429 00:24:43,840 --> 00:24:47,160 Speaker 1: to the stakeholders that are using the platform and are 430 00:24:47,160 --> 00:24:50,560 Speaker 1: managing those products. If Natasha's vision is implemented on a 431 00:24:50,600 --> 00:24:54,240 Speaker 1: massive scale, it will likely be accelerated by the implementation 432 00:24:54,280 --> 00:24:59,080 Speaker 1: of five G and it creates a fundamentally different retail ecosystem. 433 00:24:59,119 --> 00:25:01,480 Speaker 1: The brands that we were quipped today are really interested 434 00:25:01,520 --> 00:25:05,040 Speaker 1: in shifting to circular economy business models. They want to 435 00:25:05,600 --> 00:25:08,439 Speaker 1: build what we would say is a three sixty relationship 436 00:25:08,520 --> 00:25:11,800 Speaker 1: with their customer where the customer uses the product, that 437 00:25:11,840 --> 00:25:15,040 Speaker 1: product comes back to them for service. Then ultimately that 438 00:25:15,080 --> 00:25:17,000 Speaker 1: cotton comes back and they make a new shirt out 439 00:25:17,000 --> 00:25:20,399 Speaker 1: of that cotton. So in a kind of future state, 440 00:25:20,760 --> 00:25:25,320 Speaker 1: we see that ubiquitous connectivity will enable industry to move 441 00:25:25,440 --> 00:25:31,800 Speaker 1: beyond selling products to services. So basically, connectivity enables brands 442 00:25:31,840 --> 00:25:34,679 Speaker 1: from just saying here's your shirt and you walk away, 443 00:25:35,000 --> 00:25:39,560 Speaker 1: to having that ongoing relationship and transitioning to service models 444 00:25:39,600 --> 00:25:43,240 Speaker 1: for their products. So ultimately, the rise of connectivity also 445 00:25:43,680 --> 00:25:47,080 Speaker 1: creates the rise of the ability to steward products and 446 00:25:47,160 --> 00:25:51,520 Speaker 1: manage products and materials more intelligently, so that what we 447 00:25:51,600 --> 00:25:56,080 Speaker 1: call closed loop vision of products requires connections between the 448 00:25:56,200 --> 00:26:00,959 Speaker 1: brand the customer and requires extending digital infrastructure. And so 449 00:26:01,080 --> 00:26:03,880 Speaker 1: once the plumbing is set up of data exchange, more 450 00:26:03,880 --> 00:26:13,000 Speaker 1: and more information can flow through Available now from my Heart. 451 00:26:13,080 --> 00:26:16,600 Speaker 1: A new series presented by Temobile for business, The Restless 452 00:26:16,600 --> 00:26:20,360 Speaker 1: Ones join host Johnson Strickland as he explores the upcoming 453 00:26:20,400 --> 00:26:23,320 Speaker 1: five Year Revolution and the business leaders who stand right 454 00:26:23,359 --> 00:26:26,560 Speaker 1: on the cutting edge. There are certain decision makers who 455 00:26:26,560 --> 00:26:28,879 Speaker 1: are restless. They know there is a better way to 456 00:26:28,880 --> 00:26:32,480 Speaker 1: get things done, and they're ready, curious and excited for 457 00:26:32,520 --> 00:26:36,200 Speaker 1: the next technological innovation to unlock their vision of the future. 458 00:26:37,080 --> 00:26:41,560 Speaker 1: These restless ones are in pursuit of bigger, better, smarter, stronger. 459 00:26:42,160 --> 00:26:46,600 Speaker 1: They seek new partners, new strategies, new processes. They pursue 460 00:26:46,640 --> 00:26:50,720 Speaker 1: innovative platforms and solutions to propel their teams, businesses, and 461 00:26:50,840 --> 00:26:54,600 Speaker 1: industries forward. In each episode, we'll learn more from the 462 00:26:54,640 --> 00:26:57,640 Speaker 1: Restless Ones themselves and dive deep into how they think 463 00:26:57,680 --> 00:27:01,199 Speaker 1: of five year Revolution could propel the business forward. The 464 00:27:01,200 --> 00:27:03,640 Speaker 1: Restless Ones is now available on the I Heart Radio 465 00:27:03,720 --> 00:27:13,400 Speaker 1: app or wherever you listen to podcasts. As this idea 466 00:27:13,400 --> 00:27:16,920 Speaker 1: of the circular economy was new to me, and it's 467 00:27:16,960 --> 00:27:19,719 Speaker 1: aligned with what Paul Dillinger talked about earlier, which is 468 00:27:20,000 --> 00:27:22,800 Speaker 1: getting the most use out of a product. Right, You 469 00:27:22,840 --> 00:27:25,399 Speaker 1: and I once spoke with Astro Teller, head of Google X, 470 00:27:25,680 --> 00:27:28,480 Speaker 1: about the possibilities that start to arise when we make 471 00:27:28,640 --> 00:27:31,720 Speaker 1: dumb objects smart. When we think about having all kinds 472 00:27:31,720 --> 00:27:34,560 Speaker 1: of everyday objects connected to a network and learning in 473 00:27:34,600 --> 00:27:37,120 Speaker 1: real time from the day to they create and each other, 474 00:27:37,480 --> 00:27:40,080 Speaker 1: it opens up all kinds of exciting avenues. Yeah, and 475 00:27:40,119 --> 00:27:44,240 Speaker 1: thinking specifically about retail, there are huge opportunities for brands 476 00:27:44,280 --> 00:27:46,680 Speaker 1: to disrupt the way we shop. If we can tell 477 00:27:46,720 --> 00:27:49,320 Speaker 1: a product that we like it and what we like 478 00:27:49,440 --> 00:27:53,200 Speaker 1: about it, that can inform everything from the product development 479 00:27:53,280 --> 00:27:56,840 Speaker 1: to product marketing. Right, and remember what Andrea Goldsmith said 480 00:27:56,840 --> 00:27:59,919 Speaker 1: in our first episode, if every object was connected to 481 00:28:00,080 --> 00:28:03,520 Speaker 1: widest network today, they will run a battery instantly because 482 00:28:03,520 --> 00:28:07,320 Speaker 1: of the power usage, not to mention crashing networks bandwidth. Right, 483 00:28:07,480 --> 00:28:10,199 Speaker 1: The low power sensors that five G could enable is 484 00:28:10,240 --> 00:28:13,119 Speaker 1: something that will allow this kind of widespread connected clothing 485 00:28:13,119 --> 00:28:18,840 Speaker 1: market to fully take shape and then expand. On this episode, 486 00:28:18,880 --> 00:28:21,080 Speaker 1: we've talked about how five G could usher in a 487 00:28:21,119 --> 00:28:24,520 Speaker 1: new age of connected products. Some of the most exciting 488 00:28:24,600 --> 00:28:29,000 Speaker 1: and transformative could be our cause. On the next episode, 489 00:28:29,240 --> 00:28:32,480 Speaker 1: we'll look at how autonomous vehicles and driving could be 490 00:28:32,600 --> 00:28:37,360 Speaker 1: enabled by future five G networks. I'm as velachen see 491 00:28:37,359 --> 00:28:45,560 Speaker 1: you next time. No matter what you're after, T Mobile 492 00:28:45,600 --> 00:28:48,760 Speaker 1: for Business is here with a network born mobile and 493 00:28:48,840 --> 00:28:51,400 Speaker 1: built from the ground up for the next wave of innovation, 494 00:28:52,200 --> 00:28:56,240 Speaker 1: from mobile broadband to IoT to workforce mobility, and everything 495 00:28:56,240 --> 00:28:59,280 Speaker 1: in between. T Mobile for Business is committed to helping 496 00:28:59,320 --> 00:29:02,640 Speaker 1: you move your business forward with the products and services 497 00:29:02,720 --> 00:29:05,920 Speaker 1: you need, as well as the dedicated, award winning customer 498 00:29:06,000 --> 00:29:10,200 Speaker 1: service you'd expect from America's most loved wireless company. Business 499 00:29:10,280 --> 00:29:14,000 Speaker 1: is changing. Learn more at T Mobile for Business dot com.