1 00:00:03,480 --> 00:00:07,320 Speaker 1: When five G comes in, constraint goes away, and then 2 00:00:07,440 --> 00:00:11,239 Speaker 1: that becomes possibilities. You know, you talked about meta that 3 00:00:11,320 --> 00:00:14,640 Speaker 1: needs a network bandwidth to be able to create that 4 00:00:14,800 --> 00:00:19,079 Speaker 1: three D experience for you. And so what cloud computing 5 00:00:19,079 --> 00:00:21,920 Speaker 1: did in the compute and the storage space which made 6 00:00:21,960 --> 00:00:24,120 Speaker 1: it unlimited. I think that's what five G is going 7 00:00:24,160 --> 00:00:28,080 Speaker 1: to do in the connectivity space and the IoT devices 8 00:00:28,120 --> 00:00:30,600 Speaker 1: all of a sudden, which are built around, you know, 9 00:00:30,680 --> 00:00:34,599 Speaker 1: constraints of network and compute. I think those constraints are 10 00:00:34,640 --> 00:00:39,440 Speaker 1: going to go away and that changes the game. Welcome 11 00:00:39,479 --> 00:00:43,120 Speaker 1: to the restless ones. I'm Jonathan Strickland. As you may know, 12 00:00:43,360 --> 00:00:46,920 Speaker 1: I've spent the last fifteen years covering technology and learning 13 00:00:46,920 --> 00:00:51,479 Speaker 1: how it works, demystifying everything from massive parallel processing to 14 00:00:51,640 --> 00:00:57,480 Speaker 1: advanced robotics and everything in between. Yet it's the conversations 15 00:00:57,600 --> 00:01:00,480 Speaker 1: with some of the most forward thinking leaders, those at 16 00:01:00,520 --> 00:01:04,480 Speaker 1: the intersection of technology and business that fascinate me the most. 17 00:01:07,840 --> 00:01:10,560 Speaker 1: I think it's safe to say that while all industries 18 00:01:10,600 --> 00:01:15,039 Speaker 1: have experienced disruption in the era of digitization, retail is 19 00:01:15,080 --> 00:01:19,960 Speaker 1: a special case. Our relationship with retail has changed dramatically 20 00:01:20,080 --> 00:01:23,160 Speaker 1: in just a couple of decades. The Internet and Worldwide 21 00:01:23,200 --> 00:01:26,959 Speaker 1: Web open up new, exciting and uncertain opportunities. Early on, 22 00:01:27,319 --> 00:01:31,240 Speaker 1: the mobile revolution turned everything we thought we knew about 23 00:01:31,360 --> 00:01:35,600 Speaker 1: online commerce on its ear, and today retail establishments have 24 00:01:35,720 --> 00:01:38,920 Speaker 1: to embrace and pioneer digital strategies in order to meet 25 00:01:38,959 --> 00:01:43,280 Speaker 1: customer expectations as well as forged back end systems that 26 00:01:43,360 --> 00:01:48,160 Speaker 1: support the business. Manny Surrey, as c I O alt Beauty, 27 00:01:48,160 --> 00:01:51,800 Speaker 1: focuses on those types of challenges. As an engineer, he 28 00:01:51,960 --> 00:01:54,680 Speaker 1: is eager to create systems that enable Ulti Beauty to 29 00:01:54,760 --> 00:01:57,840 Speaker 1: deliver upon the promise the company makes to customers and 30 00:01:57,880 --> 00:02:01,640 Speaker 1: that integrate with all other operation to add value to 31 00:02:01,720 --> 00:02:05,480 Speaker 1: the overall business. That's a tall order, but many likes 32 00:02:05,560 --> 00:02:09,079 Speaker 1: solving problems. I was excited to sit down with Manny 33 00:02:09,120 --> 00:02:11,440 Speaker 1: and talk about some of the projects he's focused on 34 00:02:11,480 --> 00:02:14,000 Speaker 1: since he joined Aulti Beauty in March of two thousand 35 00:02:14,040 --> 00:02:17,480 Speaker 1: twenty two. But first I wanted to learn about how 36 00:02:17,520 --> 00:02:20,160 Speaker 1: he developed a love of technology that propelled him into 37 00:02:20,320 --> 00:02:27,880 Speaker 1: his career. Manny, I want to welcome you to the 38 00:02:27,919 --> 00:02:30,160 Speaker 1: Restless Ones. Thank you so much for taking time to 39 00:02:30,200 --> 00:02:33,280 Speaker 1: talk with us today. Thank you, Jonathan. Glad to be here, 40 00:02:33,639 --> 00:02:36,880 Speaker 1: and I look forward to our conversation. Before I jump 41 00:02:36,960 --> 00:02:41,000 Speaker 1: into all things technology and retail, I want to first 42 00:02:41,240 --> 00:02:44,160 Speaker 1: get to know you a little bit better. When did 43 00:02:44,160 --> 00:02:47,680 Speaker 1: you first get interested in technology and at what point 44 00:02:47,680 --> 00:02:51,040 Speaker 1: did you decide that you wanted your career to be 45 00:02:51,120 --> 00:02:55,640 Speaker 1: in that sort of technological field. Yeah. When I was 46 00:02:55,680 --> 00:02:59,359 Speaker 1: growing up, Jonathan, I didn't know there was something called technology. 47 00:02:59,400 --> 00:03:04,080 Speaker 1: I thought everything was engineering. And my uncle, who was 48 00:03:04,200 --> 00:03:08,280 Speaker 1: my idol, he was a brilliant engineer, so I thought 49 00:03:08,280 --> 00:03:11,799 Speaker 1: when I grew up, I'll be like him. I realized 50 00:03:11,919 --> 00:03:15,120 Speaker 1: at a young age that one of my skills was 51 00:03:15,160 --> 00:03:18,840 Speaker 1: a problem solver. I never took anything as it can 52 00:03:18,880 --> 00:03:21,200 Speaker 1: be solved. There is always a way around it, and 53 00:03:21,760 --> 00:03:24,200 Speaker 1: you do whatever to do it. So I thought I 54 00:03:24,280 --> 00:03:29,160 Speaker 1: could be a mechanical engineer and continue to embrace that 55 00:03:29,240 --> 00:03:33,280 Speaker 1: as an interest and as an advantage. Later in the year, 56 00:03:33,520 --> 00:03:37,560 Speaker 1: in my engineering college days, I realized, hey, technology proved 57 00:03:37,600 --> 00:03:40,800 Speaker 1: to be a great means to solve it. Actually, there 58 00:03:40,840 --> 00:03:45,240 Speaker 1: was so much going on, and appreciated the possibilities technologies allow, 59 00:03:45,480 --> 00:03:48,920 Speaker 1: but also finite nature of it. There is logic embedded 60 00:03:48,960 --> 00:03:53,200 Speaker 1: in every technological resource and that can be applied to 61 00:03:53,440 --> 00:03:58,200 Speaker 1: more obscure problems, to solve for My curiosity and love 62 00:03:58,280 --> 00:04:01,680 Speaker 1: for challenge drove me to this. That's great. I love 63 00:04:01,760 --> 00:04:07,119 Speaker 1: speaking with engineers because of their tendency to view challenges 64 00:04:07,760 --> 00:04:11,960 Speaker 1: and to start to think of solutions to meet those challenges, 65 00:04:12,480 --> 00:04:14,560 Speaker 1: and that they almost see the world as a series 66 00:04:14,560 --> 00:04:17,560 Speaker 1: of puzzles and I find it fascinating. Yeah, and I 67 00:04:17,600 --> 00:04:22,040 Speaker 1: would say that the best engineer I knew in my 68 00:04:22,120 --> 00:04:26,239 Speaker 1: life was my grandpa. Actually he didn't go to school 69 00:04:26,960 --> 00:04:30,400 Speaker 1: when I thought he could fix and do anything. So 70 00:04:30,440 --> 00:04:37,200 Speaker 1: it's essentially, you know, orchestration of our intentions with things 71 00:04:37,320 --> 00:04:40,760 Speaker 1: we thought were material and now they are not, and 72 00:04:40,800 --> 00:04:44,960 Speaker 1: they are intelligent and they sense us and follow the instructions. 73 00:04:45,000 --> 00:04:50,440 Speaker 1: So I think that just opens up amazing possibilities. And 74 00:04:50,640 --> 00:04:54,720 Speaker 1: you must have seen so many different transformative technologies over 75 00:04:54,760 --> 00:04:57,400 Speaker 1: the course of your career, right, What were some of 76 00:04:57,440 --> 00:05:00,119 Speaker 1: those key points, not just the ones that we're at now, 77 00:05:00,240 --> 00:05:03,719 Speaker 1: but maybe things that you noticed along the way that 78 00:05:03,839 --> 00:05:08,360 Speaker 1: you thought this is changing everything. Yeah, we talked about 79 00:05:08,680 --> 00:05:16,799 Speaker 1: artificial intelligence, machine learning, robotics, electrification. I think what changed 80 00:05:16,839 --> 00:05:22,880 Speaker 1: the world was abundance. When I was growing up, there 81 00:05:22,960 --> 00:05:28,440 Speaker 1: was limited compute capacity and storage capacity, and you have 82 00:05:28,560 --> 00:05:30,919 Speaker 1: a computer in front of you, which has got so 83 00:05:31,000 --> 00:05:36,120 Speaker 1: much compute power, finite, so much storage. My first computer 84 00:05:36,279 --> 00:05:39,839 Speaker 1: was a three eight six processor, if anybody remembers, and 85 00:05:40,360 --> 00:05:45,640 Speaker 1: I had a whopping I think forty eight kilobytes of 86 00:05:46,000 --> 00:05:49,159 Speaker 1: memory or something. So you lived in those means, and 87 00:05:49,200 --> 00:05:53,160 Speaker 1: when you talk about some of this algorithms, it was finite. 88 00:05:53,560 --> 00:05:56,760 Speaker 1: Cloud came in and they said, listen, guess what I'm 89 00:05:56,760 --> 00:05:59,480 Speaker 1: going to give you unlimited And that's what I say, 90 00:05:59,520 --> 00:06:02,840 Speaker 1: abundant of compute and storage when you need it, and 91 00:06:02,880 --> 00:06:04,760 Speaker 1: when you don't need it, you can scale it down. 92 00:06:04,800 --> 00:06:09,800 Speaker 1: And that changed everything. We were doing artificial intelligence and 93 00:06:10,080 --> 00:06:12,960 Speaker 1: machine learning in the seventies and the sixties, but we 94 00:06:12,960 --> 00:06:15,080 Speaker 1: didn't have compute power, and all of a sudden it 95 00:06:15,160 --> 00:06:19,480 Speaker 1: became commodity. And what cloud allows you to do is 96 00:06:19,839 --> 00:06:22,919 Speaker 1: I would say, it's a community of servers and compute 97 00:06:23,360 --> 00:06:25,440 Speaker 1: so when you're not using and I can go use 98 00:06:25,480 --> 00:06:29,719 Speaker 1: it and I have just in finite of horse power 99 00:06:29,760 --> 00:06:32,960 Speaker 1: to run that. And I think that's made a lot 100 00:06:33,000 --> 00:06:36,720 Speaker 1: of us think differently. Even if you look at retail space, 101 00:06:37,520 --> 00:06:40,359 Speaker 1: you create your capacity in servers and in the back 102 00:06:40,560 --> 00:06:43,800 Speaker 1: based on your peak times, just like parking lots, parking 103 00:06:43,800 --> 00:06:46,479 Speaker 1: lots are not built around average time. They're empty all night, 104 00:06:46,600 --> 00:06:48,680 Speaker 1: right when the mall is closed or the strip mall 105 00:06:48,760 --> 00:06:51,320 Speaker 1: is closed, but they built around the peak times. And 106 00:06:51,400 --> 00:06:54,159 Speaker 1: that's how the retail is right. And I think that's 107 00:06:54,240 --> 00:06:58,520 Speaker 1: what cloud brought to retail, which was, hey, you don't 108 00:06:58,560 --> 00:07:01,800 Speaker 1: have to buy the week time parking lot, but when 109 00:07:01,880 --> 00:07:04,839 Speaker 1: your customers are shopping with you in the e commerce 110 00:07:04,880 --> 00:07:07,839 Speaker 1: and when your traffic comes in, I have this cloud 111 00:07:08,400 --> 00:07:12,040 Speaker 1: which lets you expand. So all of a sudden, that 112 00:07:12,160 --> 00:07:16,200 Speaker 1: constraint went away. And once that constraints goes away, you 113 00:07:16,320 --> 00:07:19,240 Speaker 1: express yourself in any form of fashion, and that's what 114 00:07:19,360 --> 00:07:22,600 Speaker 1: has started happening. All of a sudden. Startups had a 115 00:07:22,600 --> 00:07:24,840 Speaker 1: click of a button to say I can scale when 116 00:07:24,840 --> 00:07:28,240 Speaker 1: my customer shows up, and that started changing the game. 117 00:07:28,280 --> 00:07:31,680 Speaker 1: You get the same infrastructure, you get same kind of 118 00:07:31,880 --> 00:07:36,160 Speaker 1: velocity speed tools to do that. And I think the 119 00:07:36,200 --> 00:07:40,800 Speaker 1: cloud is abundance unlimited, and I think we're seeing that 120 00:07:40,880 --> 00:07:44,960 Speaker 1: in the connectivity too. I don't know anybody I know 121 00:07:45,480 --> 00:07:49,040 Speaker 1: who's not on an unlimited data plan in and I 122 00:07:49,080 --> 00:07:52,480 Speaker 1: think we assume wherever we go that I'll have unlimited 123 00:07:52,800 --> 00:07:56,800 Speaker 1: connectivity and compute and storage power and that's changing the game. 124 00:07:57,160 --> 00:08:00,680 Speaker 1: It's changing in retail, it's changing in every single industry. 125 00:08:00,760 --> 00:08:03,480 Speaker 1: I grew up as a software engineer, Jonathan, and you know, 126 00:08:03,640 --> 00:08:07,239 Speaker 1: last couple of roles I had were focused on retail. 127 00:08:07,360 --> 00:08:11,120 Speaker 1: It's the most exciting I think domain V as consumers, 128 00:08:11,320 --> 00:08:15,160 Speaker 1: Whenever the new iPhone or a new technology is released, 129 00:08:15,240 --> 00:08:17,480 Speaker 1: we are in the line next morning to say, hey, 130 00:08:17,520 --> 00:08:20,840 Speaker 1: I want it. That's what keeps retails so exciting to 131 00:08:20,920 --> 00:08:23,200 Speaker 1: be able to fulfill it and a matter of seconds 132 00:08:23,240 --> 00:08:25,560 Speaker 1: you will see thousands of people actually appreciate what you 133 00:08:25,640 --> 00:08:30,240 Speaker 1: build and deployed. Yeah, I think retail is probably the 134 00:08:30,280 --> 00:08:35,360 Speaker 1: greatest example of an industry that forms a relationship with 135 00:08:35,640 --> 00:08:38,280 Speaker 1: its customer. It's not the same sort of thing you 136 00:08:38,320 --> 00:08:42,000 Speaker 1: see in other industries where there's usually another degree of 137 00:08:42,040 --> 00:08:45,760 Speaker 1: separation between the in the customer and the company. This 138 00:08:45,800 --> 00:08:49,320 Speaker 1: is one where it's immediate and that relationship is of 139 00:08:49,480 --> 00:08:54,200 Speaker 1: utmost importance. Very curious that you began at Alta Beauty 140 00:08:54,480 --> 00:08:58,120 Speaker 1: in March of two. Can you describe what your time 141 00:08:58,160 --> 00:09:02,160 Speaker 1: there has been so far? Yeah? Absolutely so. First, I'll 142 00:09:02,200 --> 00:09:06,480 Speaker 1: just say that consumer journeys are no longer linear. Retail 143 00:09:06,520 --> 00:09:11,480 Speaker 1: ecosystem are now seamless for guests as they shift from 144 00:09:11,760 --> 00:09:16,000 Speaker 1: break and motor to digital. So tech must also be 145 00:09:16,080 --> 00:09:20,280 Speaker 1: fluid to serve as foundation for the entire ecosystem. That's 146 00:09:20,280 --> 00:09:25,720 Speaker 1: what attracted me here at Altar Beauty. Our stores will 147 00:09:25,800 --> 00:09:33,600 Speaker 1: always be dynamic destinations where we create human connections, discover, play, 148 00:09:33,840 --> 00:09:37,440 Speaker 1: care for and express yourself. And you know, tech place 149 00:09:37,880 --> 00:09:42,440 Speaker 1: a role in that. With our app guiding trial in 150 00:09:42,440 --> 00:09:47,320 Speaker 1: the aisles are systems connecting offering personalized options, and our 151 00:09:47,400 --> 00:09:52,079 Speaker 1: pos system ensuring smooth checkout and supply chain is ready 152 00:09:52,120 --> 00:09:55,800 Speaker 1: to deliver. It all comes together, so it's all about 153 00:09:55,920 --> 00:09:59,520 Speaker 1: human connection and technology can play a role on how 154 00:09:59,559 --> 00:10:04,520 Speaker 1: you connect with it. I also think that one of 155 00:10:04,520 --> 00:10:07,760 Speaker 1: the challenges when it comes to incorporating tech into a 156 00:10:07,840 --> 00:10:11,880 Speaker 1: retail experience, especially since to your point, you know that's 157 00:10:11,920 --> 00:10:15,640 Speaker 1: a very personal experience between retailer and customer, is making 158 00:10:15,679 --> 00:10:18,040 Speaker 1: sure that the tech doesn't get in the way of 159 00:10:18,120 --> 00:10:22,240 Speaker 1: the experience that it enhances, but it doesn't become a 160 00:10:22,360 --> 00:10:26,439 Speaker 1: wall between the retailer and the customer. I imagine that 161 00:10:26,520 --> 00:10:29,200 Speaker 1: has to be a big part of the challenge as well. 162 00:10:29,960 --> 00:10:34,480 Speaker 1: I would say this is retail domain is uh tough 163 00:10:34,520 --> 00:10:39,720 Speaker 1: domain for technology. I mean, the margins are thin in detail, 164 00:10:40,440 --> 00:10:43,559 Speaker 1: and you want to pass that value to your customer. 165 00:10:44,240 --> 00:10:47,240 Speaker 1: And then you know there's so much buzz around a 166 00:10:47,280 --> 00:10:53,840 Speaker 1: lot of different technologies, so and all that cloud of clutter, 167 00:10:54,120 --> 00:10:57,120 Speaker 1: how do you pick something which works for your customer 168 00:10:57,160 --> 00:10:59,480 Speaker 1: in a meaningful way. Like you said, you know that 169 00:10:59,520 --> 00:11:02,040 Speaker 1: they're moving that frictional point for the customer on how 170 00:11:02,080 --> 00:11:05,480 Speaker 1: they want to interact. You can't do everything, so it 171 00:11:05,600 --> 00:11:08,880 Speaker 1: becomes really important for me and my team to make 172 00:11:08,920 --> 00:11:12,920 Speaker 1: sure that we invest in something which is directly related 173 00:11:12,920 --> 00:11:15,959 Speaker 1: to customer, not because it's a cool technology. It needs 174 00:11:15,960 --> 00:11:19,560 Speaker 1: to work for our customers right away. Everything needs to 175 00:11:19,600 --> 00:11:22,959 Speaker 1: start from there, not from technology. It needs to start 176 00:11:22,960 --> 00:11:26,240 Speaker 1: from the customer experience and the problem you're trying to 177 00:11:26,280 --> 00:11:29,120 Speaker 1: solve for your customers, whether it's a product, whether it's 178 00:11:29,120 --> 00:11:33,199 Speaker 1: a service. Making that even more challenging, I think is 179 00:11:33,240 --> 00:11:36,560 Speaker 1: the fact that this is kind of armchair psychology on 180 00:11:36,640 --> 00:11:39,640 Speaker 1: my part, But you can see some generational differences on 181 00:11:39,679 --> 00:11:43,960 Speaker 1: how people like to interact with things like retail. For example, 182 00:11:44,280 --> 00:11:48,840 Speaker 1: in my experience, the younger generations, they like having that 183 00:11:49,280 --> 00:11:53,600 Speaker 1: level of abstraction, the app that helps them interact as 184 00:11:53,600 --> 00:11:58,000 Speaker 1: opposed to having more face to face conversations with people, 185 00:11:58,440 --> 00:12:00,960 Speaker 1: and so it's great to have that as an avenue 186 00:12:01,080 --> 00:12:05,120 Speaker 1: for those customers. And then older customers might prefer that 187 00:12:05,280 --> 00:12:08,800 Speaker 1: hands on experience of interacting with a person face to face. 188 00:12:09,520 --> 00:12:13,360 Speaker 1: I think that's where technology also has an enormous opportunity 189 00:12:13,400 --> 00:12:18,360 Speaker 1: in the retail space, is to help create a great experience. 190 00:12:18,400 --> 00:12:21,400 Speaker 1: No matter what your preferences are when it comes to 191 00:12:21,480 --> 00:12:26,480 Speaker 1: your retail experience, Yeah, it's all about opening what we 192 00:12:26,559 --> 00:12:30,679 Speaker 1: call omni channel, how customer wants to interact with you. 193 00:12:31,280 --> 00:12:33,040 Speaker 1: The customers who want to walk in the store and 194 00:12:33,080 --> 00:12:35,160 Speaker 1: they don't want to talk to anybody, they just want 195 00:12:35,240 --> 00:12:37,800 Speaker 1: everything on their phone. And then there are customers like 196 00:12:37,840 --> 00:12:39,520 Speaker 1: you said, who want to come in and they want 197 00:12:39,520 --> 00:12:42,720 Speaker 1: to get that consolidative sort of things. So we have 198 00:12:42,920 --> 00:12:46,199 Speaker 1: that spectrum in our stores, right. We want to continue 199 00:12:46,240 --> 00:12:50,320 Speaker 1: to invest in all channels. It's not one or the other, 200 00:12:50,480 --> 00:12:54,040 Speaker 1: it's how we create options for our customers. Manny, I 201 00:12:54,080 --> 00:12:57,320 Speaker 1: have have kind of a simple question for you. Let's 202 00:12:57,320 --> 00:13:00,360 Speaker 1: say that you're at a casual setting and someone asks 203 00:13:00,960 --> 00:13:02,680 Speaker 1: what do you do for a living? How do you 204 00:13:02,720 --> 00:13:05,880 Speaker 1: describe your job to someone who's not you know, a 205 00:13:06,000 --> 00:13:10,000 Speaker 1: CTO or c I O or C suite executive. So 206 00:13:10,320 --> 00:13:13,440 Speaker 1: mom in law was here and she said, so what 207 00:13:13,440 --> 00:13:18,560 Speaker 1: do you do now? Okay, for her, I always say, Hey, 208 00:13:19,640 --> 00:13:22,400 Speaker 1: when you go in an Altar beauty store, when you 209 00:13:22,480 --> 00:13:24,760 Speaker 1: check out and you get your loyalty points on your wrap, 210 00:13:25,360 --> 00:13:29,120 Speaker 1: that's what we do. Okay. That's a simple answer for 211 00:13:29,200 --> 00:13:32,200 Speaker 1: consumer facing because that's how they see us. But I 212 00:13:32,200 --> 00:13:36,559 Speaker 1: will tell you this, Jonathan, that more than fifty of 213 00:13:36,679 --> 00:13:39,000 Speaker 1: my effort is not on that. It's on the back 214 00:13:39,080 --> 00:13:42,000 Speaker 1: end systems. It's the financial systems, it's the HR systems, 215 00:13:42,000 --> 00:13:46,319 Speaker 1: it's a network, it's the hardware, it's the cloud computing, 216 00:13:46,520 --> 00:13:50,360 Speaker 1: it's a taxation system, it's a merchandizing system. That's all 217 00:13:50,440 --> 00:13:53,679 Speaker 1: in the back But it's hard for a consumer on 218 00:13:53,720 --> 00:13:56,439 Speaker 1: the street to explain, but you know, it sums up 219 00:13:56,480 --> 00:14:00,360 Speaker 1: for them as their interaction point. So when they see 220 00:14:00,360 --> 00:14:03,720 Speaker 1: Alta their interfaces either through an app or walking in 221 00:14:03,760 --> 00:14:06,120 Speaker 1: the store and being able to check out, get their 222 00:14:06,160 --> 00:14:10,199 Speaker 1: coupons and get their rewards and things like that. So 223 00:14:10,600 --> 00:14:13,160 Speaker 1: that's how I explain it. That's the tip of the iceberg. 224 00:14:13,320 --> 00:14:18,080 Speaker 1: We had a forty plus associate company and we equally 225 00:14:18,160 --> 00:14:23,680 Speaker 1: put the same effort bigger into making sure the tools 226 00:14:23,680 --> 00:14:27,280 Speaker 1: our associates have from tech perspective is what our customers have, 227 00:14:27,920 --> 00:14:34,880 Speaker 1: so that they can help and support the customers. Conventional 228 00:14:34,920 --> 00:14:37,160 Speaker 1: thinking says you have to pay more to get more 229 00:14:37,400 --> 00:14:40,120 Speaker 1: I want to work. But T Mobile for Business uses 230 00:14:40,200 --> 00:14:43,520 Speaker 1: unconventional thinking to deliver premium benefits for better r o 231 00:14:43,680 --> 00:14:47,320 Speaker 1: I from customized fived solutions to three sixty support. We 232 00:14:47,400 --> 00:14:50,520 Speaker 1: help you reach your business goals right now, I want 233 00:14:50,600 --> 00:14:54,800 Speaker 1: it now, innovating to improve business today and tomorrow. That's 234 00:14:54,920 --> 00:14:58,560 Speaker 1: unconventional thinking from T Mobile for Business. Capable device required 235 00:14:58,600 --> 00:15:00,760 Speaker 1: covers on available in some areas, some smear acquire certain 236 00:15:00,760 --> 00:15:10,160 Speaker 1: clare dot com. Can you maybe tell us about something 237 00:15:10,200 --> 00:15:13,040 Speaker 1: specific that you've worked on since you started over at 238 00:15:13,080 --> 00:15:16,120 Speaker 1: also beauty one of these projects that are on in 239 00:15:16,160 --> 00:15:19,720 Speaker 1: the background that are invisible perhaps to a consumer walking 240 00:15:19,760 --> 00:15:23,960 Speaker 1: into a store. One of the biggest capital project we 241 00:15:24,040 --> 00:15:28,760 Speaker 1: have internally right now is changing our E r P systems, 242 00:15:29,360 --> 00:15:35,360 Speaker 1: So we are actually rewiring our entire financials, entire merchandising 243 00:15:35,400 --> 00:15:38,480 Speaker 1: system right now. It's a three year journey. We are 244 00:15:38,480 --> 00:15:41,000 Speaker 1: on year one and actually in the next fifteen days 245 00:15:41,080 --> 00:15:44,200 Speaker 1: we're going to start rolling out our first release, which 246 00:15:44,200 --> 00:15:47,840 Speaker 1: will change our coal financial systems. These things are all connected. 247 00:15:47,960 --> 00:15:51,080 Speaker 1: You know, when you make a purchase in our store, 248 00:15:52,120 --> 00:15:56,280 Speaker 1: what happens with that transaction? That transaction, Yeah, it takes 249 00:15:56,320 --> 00:15:59,320 Speaker 1: your payment, but that payment has to book as a 250 00:15:59,360 --> 00:16:04,600 Speaker 1: revenue as profit, so it flows right into our financial system, 251 00:16:04,680 --> 00:16:09,000 Speaker 1: and it also flows into our inventory system, into our 252 00:16:09,000 --> 00:16:13,840 Speaker 1: merchandising system. It also affects our loyalty points. We also 253 00:16:13,920 --> 00:16:17,320 Speaker 1: touch our taxation and then all these systems need to 254 00:16:17,360 --> 00:16:21,360 Speaker 1: adjust for that one transaction you just did, and that 255 00:16:21,440 --> 00:16:24,840 Speaker 1: needs to get posted and calculated right, and we want 256 00:16:24,840 --> 00:16:27,600 Speaker 1: to make sure we have technologies where we can do 257 00:16:27,640 --> 00:16:32,240 Speaker 1: that very very quickly. As we enhance new way of shopping, 258 00:16:32,480 --> 00:16:36,080 Speaker 1: whether you're buying directly through our website or in our store, 259 00:16:36,600 --> 00:16:39,120 Speaker 1: how can you post that quickly and not have a 260 00:16:39,160 --> 00:16:42,520 Speaker 1: friction point internally to be able to do that. We 261 00:16:42,640 --> 00:16:46,520 Speaker 1: talk about bopus buy online, pick up in store. And 262 00:16:46,680 --> 00:16:49,280 Speaker 1: you would think it's a simple transaction, It's got major 263 00:16:49,600 --> 00:16:53,000 Speaker 1: operational components to it. When you hit that button, there 264 00:16:53,080 --> 00:16:56,640 Speaker 1: is a whole orchestration which happens in the systems along 265 00:16:56,680 --> 00:17:00,920 Speaker 1: with people. That order is communicated to the store associate, 266 00:17:01,320 --> 00:17:04,800 Speaker 1: so they go pick up your order, but then also 267 00:17:04,920 --> 00:17:08,200 Speaker 1: you know, the loyalty points get triggered. So there is 268 00:17:08,240 --> 00:17:10,960 Speaker 1: a big orchestration going on over there, and I think 269 00:17:11,080 --> 00:17:14,520 Speaker 1: the back end systems are as important as the front 270 00:17:14,640 --> 00:17:17,720 Speaker 1: end systems to remove that friction point. So we are 271 00:17:17,720 --> 00:17:20,560 Speaker 1: on a journey. We call it so s O R here, 272 00:17:20,600 --> 00:17:25,000 Speaker 1: and we've talked about it. It's massive transformation which is 273 00:17:25,040 --> 00:17:30,120 Speaker 1: actually gonna change the foundation on how we do internally 274 00:17:30,160 --> 00:17:33,439 Speaker 1: work and which is going to manifest itself in faster 275 00:17:33,640 --> 00:17:36,600 Speaker 1: capabilities on the front end, which is the apps and 276 00:17:36,640 --> 00:17:39,560 Speaker 1: the pos in our store system, because now we can 277 00:17:39,600 --> 00:17:42,560 Speaker 1: build some of those capabilities way faster and very quicker 278 00:17:42,640 --> 00:17:44,720 Speaker 1: because the back end system is ready to sort of 279 00:17:44,760 --> 00:17:49,440 Speaker 1: take on some of those new transaction style, if you would. 280 00:17:50,080 --> 00:17:52,159 Speaker 1: It's interesting to me because you're saying that, you know, 281 00:17:52,200 --> 00:17:55,639 Speaker 1: that sets up for potential future implementations of technology that 282 00:17:55,640 --> 00:17:58,960 Speaker 1: are going to transform retail, and we're starting to see 283 00:17:59,720 --> 00:18:03,919 Speaker 1: hen of that now, and I see emerging concepts things 284 00:18:04,000 --> 00:18:08,080 Speaker 1: like the metaverse. We already know that ultra Beauty uses 285 00:18:08,160 --> 00:18:13,600 Speaker 1: augmented reality style applications for the use of digital filters 286 00:18:13,640 --> 00:18:16,200 Speaker 1: that essentially allow you to see what different kinds of 287 00:18:16,320 --> 00:18:19,360 Speaker 1: cosmetic products look like on a person. So are these 288 00:18:19,400 --> 00:18:22,840 Speaker 1: the transformational experiences you're talking about? Do you have any 289 00:18:22,920 --> 00:18:25,920 Speaker 1: hints about what we could see in the future. Yeah, 290 00:18:26,000 --> 00:18:29,920 Speaker 1: So we used to have retail Jonathan, which was purely retailed. 291 00:18:30,000 --> 00:18:34,280 Speaker 1: Those lines are blooding Amazons of the world, Googles of 292 00:18:34,320 --> 00:18:38,760 Speaker 1: the world, Apples of the world. These are huge tech giants. 293 00:18:38,800 --> 00:18:42,919 Speaker 1: They have amazing R in D budgets and they invest 294 00:18:42,960 --> 00:18:47,520 Speaker 1: a lot in that and they somehow our competition too, 295 00:18:47,600 --> 00:18:50,399 Speaker 1: write in terms of technology because that can solve a 296 00:18:50,440 --> 00:18:53,920 Speaker 1: lot of things. So retail domain is not retail domain. 297 00:18:54,000 --> 00:18:56,640 Speaker 1: I think it's becoming more of tech domain as well. 298 00:18:56,840 --> 00:19:00,200 Speaker 1: Amazon wanted to be a retailer online and now there 299 00:19:00,280 --> 00:19:03,360 Speaker 1: the tech company. We at Altar we think like that 300 00:19:03,480 --> 00:19:06,679 Speaker 1: as well, making sure that we have the latest and 301 00:19:06,720 --> 00:19:10,760 Speaker 1: the greatest of technology to solve for our customers on 302 00:19:11,000 --> 00:19:14,360 Speaker 1: how they remove some of these friction points. And sometimes 303 00:19:14,440 --> 00:19:17,760 Speaker 1: it could be technology which sits outside our ecosystem, but 304 00:19:17,960 --> 00:19:20,439 Speaker 1: if they are appreciating it, we want to enable that 305 00:19:20,600 --> 00:19:25,280 Speaker 1: capability with an our ecosystem. You talked about meta. If 306 00:19:25,320 --> 00:19:28,160 Speaker 1: there is a channel customers want us to be there, 307 00:19:28,320 --> 00:19:31,160 Speaker 1: we're going to be there. So you know, if customers 308 00:19:31,240 --> 00:19:34,639 Speaker 1: want to shop on meta hours, yeah, we'll have an 309 00:19:34,640 --> 00:19:37,000 Speaker 1: altar store for them over there and they can try 310 00:19:37,000 --> 00:19:40,960 Speaker 1: out products and interact. I think it's a social platform 311 00:19:41,040 --> 00:19:44,359 Speaker 1: and very very exciting. I have a headset and I'll 312 00:19:44,359 --> 00:19:48,240 Speaker 1: tell you I'm in Africa on my weekends just looking 313 00:19:48,280 --> 00:19:52,080 Speaker 1: at all the things and it's just amazing. Now, obviously, 314 00:19:52,160 --> 00:19:58,400 Speaker 1: we are still years out from a truly coherent, immersive metaverse, 315 00:19:58,440 --> 00:20:00,960 Speaker 1: so it's not like the is something we're going to 316 00:20:01,000 --> 00:20:04,680 Speaker 1: see tomorrow, but it does get you thinking and something else. 317 00:20:04,720 --> 00:20:07,199 Speaker 1: Another technology that we love to talk about on this 318 00:20:07,280 --> 00:20:11,000 Speaker 1: show is obviously five G connectivity. It's something that we're 319 00:20:11,040 --> 00:20:16,480 Speaker 1: seeing transform various industries. I'm curious how has increased connectivity 320 00:20:16,480 --> 00:20:18,159 Speaker 1: in general and the roll out of five G in 321 00:20:18,200 --> 00:20:23,160 Speaker 1: particular affected retail. Yeah, I'll go to the key word 322 00:20:23,240 --> 00:20:28,600 Speaker 1: I said before, abundance. Five gs. Abundant. It's bringing this 323 00:20:29,040 --> 00:20:32,240 Speaker 1: super fast speed and we don't have to put fiber. 324 00:20:32,400 --> 00:20:34,840 Speaker 1: That changes the game for telecoms. They don't have to 325 00:20:34,880 --> 00:20:37,920 Speaker 1: dig up roads and they don't need to have wires 326 00:20:38,040 --> 00:20:41,720 Speaker 1: and anything. Right now, five G that kind of speed, 327 00:20:41,760 --> 00:20:45,240 Speaker 1: I mean, you're not talking about any megabits you're talking 328 00:20:45,280 --> 00:20:49,560 Speaker 1: about two gigabits per second. Okay, on the fiber, we 329 00:20:49,640 --> 00:20:52,000 Speaker 1: feel tall when we have a one gigabit coming into 330 00:20:52,000 --> 00:20:54,399 Speaker 1: our home and we say, hey, I've got enough to 331 00:20:54,440 --> 00:20:59,440 Speaker 1: watch my four K and Netflix and forty five devices connected. 332 00:20:59,520 --> 00:21:03,200 Speaker 1: But five G is changing that, Okay, it's bringing what 333 00:21:03,359 --> 00:21:07,360 Speaker 1: cloud computing did in the computing space. I think five 334 00:21:07,440 --> 00:21:09,840 Speaker 1: G is going to do that in the connectivity space. 335 00:21:10,240 --> 00:21:13,960 Speaker 1: The generation of IoT we have right now works with 336 00:21:14,400 --> 00:21:20,640 Speaker 1: limitation of your network. So your door camera bell is saying, hey, 337 00:21:20,720 --> 00:21:22,439 Speaker 1: I can give you four K, but I'm only going 338 00:21:22,480 --> 00:21:24,760 Speaker 1: to give you to any second snippets because I don't 339 00:21:24,760 --> 00:21:27,960 Speaker 1: want to suck out all the BANDWID. But when five 340 00:21:28,000 --> 00:21:31,760 Speaker 1: G comes in, that constraint goes away, and then that 341 00:21:31,880 --> 00:21:35,840 Speaker 1: becomes possibilities. You know, you talked about meta that needs 342 00:21:35,880 --> 00:21:39,240 Speaker 1: a network bandwid to be able to create that three 343 00:21:39,320 --> 00:21:43,000 Speaker 1: D experience for you. So it needs to be able 344 00:21:43,040 --> 00:21:47,199 Speaker 1: to download at a speed of very high network and 345 00:21:47,240 --> 00:21:49,119 Speaker 1: I think five G is going to enable that. And 346 00:21:49,160 --> 00:21:52,400 Speaker 1: it also gives you freedom without the wire of same 347 00:21:52,440 --> 00:21:56,600 Speaker 1: capability and so what cloud computing dead in the compute 348 00:21:56,600 --> 00:21:59,040 Speaker 1: and the storage space, which made it unlimited. I think 349 00:21:59,080 --> 00:22:01,240 Speaker 1: that's what five G is going to do in the 350 00:22:01,280 --> 00:22:04,960 Speaker 1: connectivity space and the IoT devices all of a sudden, 351 00:22:05,440 --> 00:22:08,720 Speaker 1: which are built around, you know, constraints of a network 352 00:22:08,760 --> 00:22:11,439 Speaker 1: and compute. I think those constraints are going to go away, 353 00:22:11,560 --> 00:22:14,640 Speaker 1: and that changes the game. I remember a few years 354 00:22:14,640 --> 00:22:17,080 Speaker 1: ago thinking that it was amazing to walk into a 355 00:22:17,119 --> 00:22:21,400 Speaker 1: retail establishment where they would have an interactive kiosk, for example, 356 00:22:21,640 --> 00:22:25,600 Speaker 1: so that you could engage with the retailer using that 357 00:22:25,760 --> 00:22:28,520 Speaker 1: kiosk and answer questions and things of that nature, and 358 00:22:28,560 --> 00:22:31,760 Speaker 1: that that was benefited because it had that hardwired connection 359 00:22:31,880 --> 00:22:33,879 Speaker 1: to the back end systems and you were able to 360 00:22:33,920 --> 00:22:36,840 Speaker 1: do it. But in the world of five G, that 361 00:22:36,920 --> 00:22:39,639 Speaker 1: requirement goes away, which means now you have the capability 362 00:22:39,640 --> 00:22:42,720 Speaker 1: of doing that on the customer's own device. You have 363 00:22:42,880 --> 00:22:45,760 Speaker 1: freed them up, you have untethered them to that one 364 00:22:45,840 --> 00:22:49,720 Speaker 1: specific location within the storefront. And that's something that I 365 00:22:49,760 --> 00:22:53,720 Speaker 1: think a lot of retailers are just starting to come 366 00:22:53,760 --> 00:22:56,959 Speaker 1: to grips with. Yeah, and it's the imagination, you know, 367 00:22:57,240 --> 00:22:59,359 Speaker 1: how far you can do Right now? Five g's on 368 00:22:59,359 --> 00:23:01,800 Speaker 1: our phone and our tablets. But I think what it's 369 00:23:02,000 --> 00:23:04,879 Speaker 1: really really going to enable is going to shower this 370 00:23:05,040 --> 00:23:09,760 Speaker 1: planet Earth with this unlimited abundance of connectivity, so every 371 00:23:09,800 --> 00:23:14,200 Speaker 1: device can go full throttle and get whatever it needs. 372 00:23:14,280 --> 00:23:17,400 Speaker 1: I think there's going to be a mind shift on 373 00:23:17,400 --> 00:23:21,280 Speaker 1: how we write applications. It's gonna take us as human 374 00:23:21,280 --> 00:23:25,440 Speaker 1: beings to realize, hey, listen, the connectivity is not a 375 00:23:25,440 --> 00:23:31,280 Speaker 1: constraint anymore, and we can build things assuming that. Like 376 00:23:31,359 --> 00:23:34,320 Speaker 1: your water in your house, right, you open a tap 377 00:23:34,359 --> 00:23:36,000 Speaker 1: and you assume there is going to be water. You 378 00:23:36,040 --> 00:23:38,760 Speaker 1: never are like, hey, it's gonna run out. So I 379 00:23:38,760 --> 00:23:41,240 Speaker 1: think connectivity five G is going to enable that at 380 00:23:41,240 --> 00:23:43,399 Speaker 1: a high speed. One thing I really like about five G, 381 00:23:43,560 --> 00:23:45,679 Speaker 1: which as a technician, you know, as a techie, I 382 00:23:45,680 --> 00:23:48,560 Speaker 1: will say, this is also the pain time. What I 383 00:23:48,560 --> 00:23:51,359 Speaker 1: mean by paying time in Layman is when you open 384 00:23:51,400 --> 00:23:54,960 Speaker 1: an app, it thinks for five ten seconds before it 385 00:23:55,160 --> 00:23:58,600 Speaker 1: gives you that burst of high speed. Five G also 386 00:23:58,640 --> 00:24:00,760 Speaker 1: solve for that, So the pink time times are I'm 387 00:24:00,800 --> 00:24:03,720 Speaker 1: always ready, I'm always hot. I think the infrastructure is 388 00:24:03,760 --> 00:24:05,919 Speaker 1: going to be there before the apps come in. So 389 00:24:05,960 --> 00:24:07,920 Speaker 1: the next couple of years, I think we are all 390 00:24:08,000 --> 00:24:10,760 Speaker 1: going to be not even talking about LT five four G. 391 00:24:10,920 --> 00:24:13,359 Speaker 1: We'll all be five G and we'll assume that, and 392 00:24:13,440 --> 00:24:16,919 Speaker 1: then then we'll come the revolution of the apps and 393 00:24:17,000 --> 00:24:19,560 Speaker 1: other IoT devices, which is going to say hey, I 394 00:24:19,560 --> 00:24:23,320 Speaker 1: can assume now unlimited, and that's going to change the game. 395 00:24:24,240 --> 00:24:26,800 Speaker 1: And to your point, many a lot of Internet of 396 00:24:26,840 --> 00:24:30,000 Speaker 1: things devices currently, they're designed in such a way where 397 00:24:30,160 --> 00:24:32,960 Speaker 1: they collect bits of data and they send that data 398 00:24:33,080 --> 00:24:36,240 Speaker 1: on and it's typically it's a small group of packets. 399 00:24:36,240 --> 00:24:39,080 Speaker 1: It's not like they are streaming enormous abounts of data. 400 00:24:39,119 --> 00:24:41,480 Speaker 1: But with five G, the fact that we have these 401 00:24:41,520 --> 00:24:45,440 Speaker 1: opportunities to collect data points, to analyze them, and to 402 00:24:45,760 --> 00:24:50,600 Speaker 1: incorporate that into business strategy that I think is another 403 00:24:50,960 --> 00:24:54,840 Speaker 1: enormous transformative change in retail in general. And without this 404 00:24:55,560 --> 00:24:59,280 Speaker 1: tech foundation, it's that that ability to collect an analyzed data, 405 00:24:59,320 --> 00:25:02,640 Speaker 1: it's just not sable. Yeah, no, you're absolutely right. And 406 00:25:02,680 --> 00:25:04,560 Speaker 1: like I said, you know, I love this era on 407 00:25:04,600 --> 00:25:07,160 Speaker 1: planet Earth. I'm glad I was born in this era 408 00:25:07,280 --> 00:25:10,080 Speaker 1: and a lot of things are happening. And what's going 409 00:25:10,160 --> 00:25:13,840 Speaker 1: to happen is as you enable this five G connectivity, 410 00:25:13,880 --> 00:25:16,800 Speaker 1: there's going to be a lot of transmission of these sensors. 411 00:25:17,040 --> 00:25:19,399 Speaker 1: They're going to share their information and then you start 412 00:25:19,480 --> 00:25:24,080 Speaker 1: orchestrating and say hey, listen, I'm gonna make more meaningful 413 00:25:24,200 --> 00:25:26,320 Speaker 1: sense out of all this data which is going on. 414 00:25:27,080 --> 00:25:29,720 Speaker 1: I think technologies and tools which are happening in the 415 00:25:29,840 --> 00:25:32,280 Speaker 1: data space is going to start making sense of some 416 00:25:32,359 --> 00:25:34,479 Speaker 1: of this data which we're going to collect. Yeah. I 417 00:25:34,520 --> 00:25:38,240 Speaker 1: think part of that has been driven by necessity. Clearly, 418 00:25:38,720 --> 00:25:43,280 Speaker 1: the pandemic shifted things, especially for retail, but shifted things 419 00:25:43,280 --> 00:25:47,640 Speaker 1: across all industries and required lots of very quick, nimble 420 00:25:47,720 --> 00:25:51,280 Speaker 1: approaches to the problem. And one area where I'm starting 421 00:25:51,280 --> 00:25:55,280 Speaker 1: to see a lot of innovation in particular is managing 422 00:25:55,320 --> 00:25:59,040 Speaker 1: supply chain. And to me, the emergence of technologies that 423 00:25:59,160 --> 00:26:02,480 Speaker 1: can gather day about supply chain and send it in 424 00:26:02,520 --> 00:26:06,920 Speaker 1: real time with a depth of information necessary for business 425 00:26:07,040 --> 00:26:12,119 Speaker 1: to act on that information and be able to adjust that, 426 00:26:12,160 --> 00:26:14,000 Speaker 1: to me, is sort of the gold mine right now 427 00:26:14,240 --> 00:26:18,320 Speaker 1: for the technology. Yeah. Absolutely, And you know, if you 428 00:26:18,359 --> 00:26:23,200 Speaker 1: look at companies which are doing great right now, they 429 00:26:23,200 --> 00:26:28,720 Speaker 1: have amazing supply chain lodge Stakes as their foundation. We 430 00:26:28,800 --> 00:26:30,840 Speaker 1: are really ramping up game and I think this was 431 00:26:30,880 --> 00:26:33,680 Speaker 1: pre COVID that we were building our own distribution centers 432 00:26:33,720 --> 00:26:37,440 Speaker 1: and we are investing heavily in modernizing our sort of 433 00:26:37,480 --> 00:26:40,760 Speaker 1: play there, and we work closely with our partners and 434 00:26:40,800 --> 00:26:43,800 Speaker 1: brands to make sure that there is a seamless flow 435 00:26:43,840 --> 00:26:46,720 Speaker 1: of products to our stores as well as to their 436 00:26:46,720 --> 00:26:50,680 Speaker 1: home when you order online or through our e commerce platform. Yeah, 437 00:26:50,800 --> 00:26:52,720 Speaker 1: I agree with you, Many. I think what we got 438 00:26:52,960 --> 00:26:55,520 Speaker 1: was sort of a wake up call where people who 439 00:26:55,560 --> 00:26:58,960 Speaker 1: worked in logistics and supply chain were well aware. But 440 00:26:59,080 --> 00:27:02,359 Speaker 1: now it's an under aniable truth that all of these 441 00:27:02,400 --> 00:27:06,959 Speaker 1: different parts of a business are incredibly important to the 442 00:27:07,080 --> 00:27:10,479 Speaker 1: entire ecosystem, and you can't just sort of pick and 443 00:27:10,520 --> 00:27:13,959 Speaker 1: lift one out and pretend like it doesn't have an 444 00:27:14,000 --> 00:27:17,800 Speaker 1: impact on the rest. And I think that realization, that awareness, 445 00:27:17,840 --> 00:27:22,880 Speaker 1: that acknowledgement is what is going to really change business 446 00:27:23,400 --> 00:27:28,800 Speaker 1: in the future. Before I get end my conversation with Many, 447 00:27:28,920 --> 00:27:33,640 Speaker 1: I needed to ask him a couple more things. I'm 448 00:27:33,640 --> 00:27:37,119 Speaker 1: curious in your experience, what do you think is the 449 00:27:37,160 --> 00:27:41,800 Speaker 1: most misunderstood technology. When I'll say this, you will not 450 00:27:41,920 --> 00:27:44,879 Speaker 1: believe me, But I will say this. I said this 451 00:27:44,960 --> 00:27:47,840 Speaker 1: to my daughter, and I think I proved it to her. 452 00:27:48,119 --> 00:27:53,919 Speaker 1: But technology people think it's complicated and complex. It's not. 453 00:27:54,760 --> 00:27:59,600 Speaker 1: It's not. It's logic once you jump into it. It's 454 00:27:59,640 --> 00:28:03,120 Speaker 1: not rocket science. When you're a kid and you bring 455 00:28:03,200 --> 00:28:05,680 Speaker 1: somebody and you say, hey, start typing on a keyboard. 456 00:28:06,640 --> 00:28:09,280 Speaker 1: It looks impossible on how you're going to orchestrate all 457 00:28:09,320 --> 00:28:12,240 Speaker 1: your fingers, And three days into it, you're not even 458 00:28:12,280 --> 00:28:14,440 Speaker 1: looking at the keyboard. You just form that habit. A 459 00:28:14,480 --> 00:28:17,119 Speaker 1: lot of folks are afraid on our technology is complicated, 460 00:28:17,200 --> 00:28:21,120 Speaker 1: it's painful. And I will also say this, I think 461 00:28:21,119 --> 00:28:23,440 Speaker 1: it's fun. I think it's a blast. When you get 462 00:28:23,480 --> 00:28:26,440 Speaker 1: into it, it absorbs you into it. So one of 463 00:28:26,480 --> 00:28:29,760 Speaker 1: the big misconception is technology is complicated, it doesn't work, 464 00:28:29,880 --> 00:28:32,480 Speaker 1: and you need a lot of hours and college education. 465 00:28:32,560 --> 00:28:36,800 Speaker 1: And no, I think in a couple of weeks you 466 00:28:36,800 --> 00:28:38,720 Speaker 1: can do something. You can write your app, and you 467 00:28:38,760 --> 00:28:40,960 Speaker 1: can write your logic and you can do things, and 468 00:28:41,040 --> 00:28:44,480 Speaker 1: those things are available now. Yeah, I think many to 469 00:28:44,560 --> 00:28:48,120 Speaker 1: your point, if you've learned about the technology, then you 470 00:28:48,240 --> 00:28:52,240 Speaker 1: don't go in with that misunderstanding. Yeah, well, then what 471 00:28:52,320 --> 00:28:55,400 Speaker 1: would you say it means to be a restless one? 472 00:28:55,480 --> 00:28:58,640 Speaker 1: We call this the Restless Ones, and we kind of 473 00:28:58,680 --> 00:29:01,920 Speaker 1: have our own definition in mind when we say that. 474 00:29:02,040 --> 00:29:05,760 Speaker 1: But when you were invited to be a guest on 475 00:29:05,960 --> 00:29:09,040 Speaker 1: the Restless Ones, what does restless one mean? To you 476 00:29:10,440 --> 00:29:17,000 Speaker 1: curiosity and then you know, always challenging the statuscope. This 477 00:29:17,080 --> 00:29:19,440 Speaker 1: is how it was done, this is how it was successful, 478 00:29:19,560 --> 00:29:22,160 Speaker 1: but look at new ways to continuously solve for it. 479 00:29:22,960 --> 00:29:27,320 Speaker 1: We've witnessed, Jonathan in our lifetimes uberization of everything. It 480 00:29:27,480 --> 00:29:30,200 Speaker 1: just sorts, not the replacing the taxi and stuff and 481 00:29:30,240 --> 00:29:33,240 Speaker 1: bringing that, but uberization is happening in every single thing. 482 00:29:33,960 --> 00:29:38,160 Speaker 1: We talk about Bitcoin, it was one application of blockchain 483 00:29:38,360 --> 00:29:40,440 Speaker 1: in that domain, but we are seeing a lot more 484 00:29:40,480 --> 00:29:43,600 Speaker 1: examples of that. A I m L is the same way. 485 00:29:43,640 --> 00:29:46,960 Speaker 1: We are applying that sort of technique in every single 486 00:29:47,000 --> 00:29:49,720 Speaker 1: domain now. And how we do things. You know, you 487 00:29:49,720 --> 00:29:51,880 Speaker 1: you go buy a coffee mug and they say, hey, 488 00:29:51,920 --> 00:29:54,680 Speaker 1: it's got a m L to keep your coffee hot 489 00:29:54,760 --> 00:29:58,640 Speaker 1: or whatever. Right, So I think the patterns evolved in 490 00:29:58,960 --> 00:30:02,560 Speaker 1: one certain domain are now becoming available and trying to 491 00:30:02,600 --> 00:30:06,280 Speaker 1: solve problem in other domains. And I think that's really 492 00:30:06,280 --> 00:30:10,480 Speaker 1: really powerful saying how you apply these patents versus one 493 00:30:10,560 --> 00:30:15,400 Speaker 1: particular application into several other domains. Yeah. I like that 494 00:30:15,480 --> 00:30:18,320 Speaker 1: answer a lot. I feel like the idea of just 495 00:30:18,400 --> 00:30:21,040 Speaker 1: because it's been done this way doesn't mean there's not 496 00:30:21,240 --> 00:30:24,120 Speaker 1: a better way. I feel like that really does get 497 00:30:24,240 --> 00:30:26,280 Speaker 1: right to the heart of what it means to be 498 00:30:26,320 --> 00:30:29,640 Speaker 1: a restless one, not being content to just do things 499 00:30:29,680 --> 00:30:34,040 Speaker 1: because that's how they've always been done. Incredible, Many, it 500 00:30:34,040 --> 00:30:37,480 Speaker 1: has been such a pleasure to have this conversation with you. 501 00:30:37,560 --> 00:30:40,760 Speaker 1: Thank you so much for joining the show. Hey, thank 502 00:30:40,800 --> 00:30:43,719 Speaker 1: you so much for having me and likewise, I enjoyed 503 00:30:43,720 --> 00:30:52,600 Speaker 1: our conversation today. Thanks thanks again to Many Story of 504 00:30:52,640 --> 00:30:55,560 Speaker 1: Alta Beauty for joining the show. Well, many of my 505 00:30:55,640 --> 00:30:59,200 Speaker 1: guests work in industries where disruptive change may go largely 506 00:30:59,280 --> 00:31:03,000 Speaker 1: unnoticed by the general public. The retail space is different. 507 00:31:03,480 --> 00:31:07,520 Speaker 1: Retail companies have been striving to create customized, personalized experiences 508 00:31:07,520 --> 00:31:11,200 Speaker 1: for decades, and technology has played a critical part in 509 00:31:11,280 --> 00:31:14,880 Speaker 1: making that possible. Today, with the combination of connectivity and 510 00:31:14,960 --> 00:31:18,920 Speaker 1: data management, retail organizations can cater experiences to a degree 511 00:31:18,960 --> 00:31:22,640 Speaker 1: that simply wasn't scalable in the past. Perhaps, if you 512 00:31:22,800 --> 00:31:25,640 Speaker 1: ran a shop in a small community where over time 513 00:31:25,640 --> 00:31:28,280 Speaker 1: you've got to know everyone there and what they liked, 514 00:31:28,720 --> 00:31:32,760 Speaker 1: you could provide that level of service to all your customers. However, 515 00:31:32,800 --> 00:31:35,760 Speaker 1: with five G, it's possible to bring that level of 516 00:31:35,800 --> 00:31:40,480 Speaker 1: service even to large stores in huge cities. App developers 517 00:31:40,520 --> 00:31:43,640 Speaker 1: can create an entirely new way to shop and interact 518 00:31:43,640 --> 00:31:46,920 Speaker 1: with the retailer, and businesses are able to get deeper 519 00:31:46,960 --> 00:31:50,480 Speaker 1: insights into their customers and use those to guide strategies 520 00:31:50,520 --> 00:31:53,560 Speaker 1: on a granular level. And the ability to leverage that 521 00:31:53,600 --> 00:31:56,840 Speaker 1: technology to drive efficiency behind the scenes is a game 522 00:31:56,920 --> 00:32:01,640 Speaker 1: changer as well. Thank you many sorry for sharing your 523 00:32:01,640 --> 00:32:04,840 Speaker 1: experience and your perspectives on this show. Be sure to 524 00:32:04,920 --> 00:32:08,040 Speaker 1: join me for future episodes of The Restless Ones where 525 00:32:08,040 --> 00:32:11,720 Speaker 1: we'll talk with more pioneers in tech and leadership. I'll 526 00:32:11,720 --> 00:32:17,240 Speaker 1: see you then. T Mobile for Business knows companies want 527 00:32:17,240 --> 00:32:19,520 Speaker 1: more than a one size fits all approach to support. 528 00:32:19,840 --> 00:32:23,480 Speaker 1: I want the world, so we provide three sixty support 529 00:32:23,520 --> 00:32:27,200 Speaker 1: customized to your business. From discovery through post deployment. You'll 530 00:32:27,200 --> 00:32:31,160 Speaker 1: get a dedicated account team and expertise from solutions engineers 531 00:32:31,200 --> 00:32:36,520 Speaker 1: and industry advisors already right now, I want it now. 532 00:32:37,040 --> 00:32:41,920 Speaker 1: Three sixty support that's customized for your success. That's unconventional 533 00:32:42,000 --> 00:32:43,640 Speaker 1: thinking from T Mobile for Business