1 00:00:01,320 --> 00:00:05,480 Speaker 1: I think cloud and Internet is wonderful tools that allowing 2 00:00:05,559 --> 00:00:07,760 Speaker 1: us to deliver on our vision of democratized I T 3 00:00:08,520 --> 00:00:11,640 Speaker 1: five G is gonna play a huge role as we 4 00:00:11,720 --> 00:00:15,360 Speaker 1: get more and more IoT the benefits it can drive. 5 00:00:15,720 --> 00:00:19,200 Speaker 1: We've now come across the issue with latency as we're 6 00:00:19,200 --> 00:00:21,880 Speaker 1: trying to use the cloud, so having five G in 7 00:00:21,920 --> 00:00:26,599 Speaker 1: place is going to be phenomenal in kind of swatting 8 00:00:26,600 --> 00:00:32,720 Speaker 1: down that particular roadblock. Welcome to the restless ones. I'm 9 00:00:32,800 --> 00:00:36,919 Speaker 1: Jonathan Strickland. I've spent more than a decade really learning 10 00:00:36,960 --> 00:00:40,519 Speaker 1: about technology, what makes it take, and then describing and 11 00:00:40,640 --> 00:00:44,600 Speaker 1: explaining that to my audience. But it's the conversations with 12 00:00:44,640 --> 00:00:48,640 Speaker 1: the world's most unconventional thinkers, the leaders at the intersection 13 00:00:48,680 --> 00:00:52,479 Speaker 1: of technology and business, that fascinated me the most. In 14 00:00:52,560 --> 00:00:55,680 Speaker 1: partnership with T Mobile for Business, I explore the unique 15 00:00:55,720 --> 00:00:57,920 Speaker 1: set of challenges that see I O S and C 16 00:00:58,120 --> 00:01:01,040 Speaker 1: T O s face from at instments in cloud and 17 00:01:01,200 --> 00:01:05,240 Speaker 1: edge computing, software as a service, Internet of Things, and 18 00:01:05,560 --> 00:01:09,360 Speaker 1: of course five G. We are often left wondering how 19 00:01:09,480 --> 00:01:13,520 Speaker 1: the leading minds and business continue to thrive. Let's find out. 20 00:01:17,680 --> 00:01:20,520 Speaker 1: Our guest today is Rhonda Gas C I O of 21 00:01:20,640 --> 00:01:23,720 Speaker 1: Stanley Black and Decker. I was excited to speak with 22 00:01:23,800 --> 00:01:26,560 Speaker 1: Rhonda to find out how a company that traces its 23 00:01:26,640 --> 00:01:30,520 Speaker 1: history all the way back to before the Civil War 24 00:01:31,080 --> 00:01:34,400 Speaker 1: has come to embrace the digital Age. It's one thing 25 00:01:34,440 --> 00:01:37,440 Speaker 1: to launch a startup that has data analysis and AI 26 00:01:37,520 --> 00:01:41,880 Speaker 1: applications baked into its DNA. That journey comes with its 27 00:01:41,959 --> 00:01:45,000 Speaker 1: own set of challenges. For that kind of story, you 28 00:01:45,000 --> 00:01:47,800 Speaker 1: should really listen to our episode with David Chen, the 29 00:01:47,880 --> 00:01:51,720 Speaker 1: chief technology officer of Skycatch. That's a company that focuses 30 00:01:51,760 --> 00:01:55,440 Speaker 1: on data analysis with a heavy emphasis on drones. But 31 00:01:56,040 --> 00:01:59,320 Speaker 1: it's another thing entirely to help guide a company with 32 00:01:59,360 --> 00:02:03,000 Speaker 1: such a law long legacy as Stanley Blackendecker to embrace 33 00:02:03,120 --> 00:02:06,440 Speaker 1: the digital age. Companies can have a lot of momentum, 34 00:02:06,640 --> 00:02:08,840 Speaker 1: and it takes a ton of effort and strategy to 35 00:02:08,840 --> 00:02:12,120 Speaker 1: put them on a new course. As I learned, Rhonda 36 00:02:12,280 --> 00:02:16,919 Speaker 1: Enter team leverage data and technology to augment Stanley Blackendecker's mission. 37 00:02:17,320 --> 00:02:20,840 Speaker 1: In some ways things haven't really changed, but in others 38 00:02:21,400 --> 00:02:26,079 Speaker 1: what has happened is nothing short of transformational. But I'm 39 00:02:26,080 --> 00:02:29,360 Speaker 1: getting ahead of myself. First, I wanted to learn a 40 00:02:29,400 --> 00:02:34,440 Speaker 1: bit more about Rhonda. Rhonda, thank you so much for 41 00:02:34,520 --> 00:02:37,520 Speaker 1: joining us for the Restless Ones, and welcome to the show. 42 00:02:38,000 --> 00:02:41,680 Speaker 1: Hi Jonathan, thanks for having me. Well, I always like 43 00:02:41,800 --> 00:02:44,160 Speaker 1: to get to know my guest a little bit before 44 00:02:44,160 --> 00:02:46,960 Speaker 1: we really dive down into the nuts and bolts of 45 00:02:46,960 --> 00:02:49,960 Speaker 1: what they do. So could you tell me a little 46 00:02:50,000 --> 00:02:54,400 Speaker 1: bit about how you first got interested in technology in 47 00:02:54,440 --> 00:02:57,120 Speaker 1: general and when did you decide that this is something 48 00:02:57,160 --> 00:03:00,000 Speaker 1: you were going to to study and pursue as a career. 49 00:03:00,040 --> 00:03:05,000 Speaker 1: Air Oh, Jonathan, Well, to tell you how it all started. Um, 50 00:03:05,320 --> 00:03:09,280 Speaker 1: I'll certainly date and age myself. But I got interested 51 00:03:09,360 --> 00:03:13,119 Speaker 1: back in the late nineteen eighties. I was often at 52 00:03:13,200 --> 00:03:16,320 Speaker 1: a particular friend's house in high school. After all, she 53 00:03:16,400 --> 00:03:19,160 Speaker 1: had a great pool in her backyard and I lived 54 00:03:19,200 --> 00:03:22,440 Speaker 1: in the South Um. But her father had a Commodore 55 00:03:22,560 --> 00:03:24,840 Speaker 1: sixty four and it was set up in a spare 56 00:03:24,840 --> 00:03:26,840 Speaker 1: bedroom and I often kind of walked past it and 57 00:03:26,880 --> 00:03:29,440 Speaker 1: wondered what that thing was for. I asked a few 58 00:03:29,480 --> 00:03:33,000 Speaker 1: questions about it had some ploppy drive storage, and he 59 00:03:33,080 --> 00:03:35,280 Speaker 1: was really intrigued that I wanted to know something about 60 00:03:35,280 --> 00:03:38,720 Speaker 1: it because his daughter, my friend, had no interest whatsoever. 61 00:03:39,480 --> 00:03:41,360 Speaker 1: So he took up some time with me kind of 62 00:03:41,360 --> 00:03:43,600 Speaker 1: show me what it could do, which, as we all 63 00:03:43,640 --> 00:03:46,320 Speaker 1: know and hindsight did and do that much. And I 64 00:03:46,360 --> 00:03:51,120 Speaker 1: remember thinking just how different and off norm it was, 65 00:03:51,800 --> 00:03:54,680 Speaker 1: and I said, this is something that I'm interested in. 66 00:03:54,760 --> 00:03:57,840 Speaker 1: I don't know exactly what computer technology is or was 67 00:03:57,960 --> 00:03:59,560 Speaker 1: and how it was going to impact the world, but 68 00:03:59,600 --> 00:04:02,000 Speaker 1: I knew kind of from those moments that it was 69 00:04:02,040 --> 00:04:03,600 Speaker 1: something that I wanted to learn more about and be 70 00:04:03,640 --> 00:04:07,400 Speaker 1: involved in. So um I was good in science and math. 71 00:04:07,640 --> 00:04:10,320 Speaker 1: So when it came time to enroll in college, I 72 00:04:10,400 --> 00:04:14,120 Speaker 1: declared my major to be computer science and just never 73 00:04:14,160 --> 00:04:17,560 Speaker 1: look back. Was there any particular area in computer science 74 00:04:17,600 --> 00:04:21,239 Speaker 1: that really spoke to you? Oh? Man, this is sad. 75 00:04:21,440 --> 00:04:23,880 Speaker 1: There was a course where we had to take a 76 00:04:23,920 --> 00:04:27,680 Speaker 1: really simple problem and solve it in multiple different languages, 77 00:04:28,520 --> 00:04:31,159 Speaker 1: and there were some languages that just if you remember, 78 00:04:31,200 --> 00:04:33,520 Speaker 1: there was something called snowball, and then there was coball 79 00:04:33,600 --> 00:04:35,840 Speaker 1: and p l one and I know I'm dating myself 80 00:04:35,880 --> 00:04:38,640 Speaker 1: for trying all of those things. But man, when you 81 00:04:38,680 --> 00:04:41,200 Speaker 1: got to that assembly level code and you could dig 82 00:04:41,240 --> 00:04:44,080 Speaker 1: into the registers and actually see where the bits were 83 00:04:44,080 --> 00:04:46,520 Speaker 1: moving around, it wasn't the best way to write a 84 00:04:46,560 --> 00:04:48,880 Speaker 1: sentence or solve a you know, solve a problem of 85 00:04:48,920 --> 00:04:51,400 Speaker 1: that nature. But it was just more fun to me 86 00:04:51,520 --> 00:04:53,720 Speaker 1: to be able to look into the registers and and 87 00:04:53,800 --> 00:04:56,960 Speaker 1: trace the zeros and ones. All right, I'm sick we've 88 00:04:57,080 --> 00:04:59,560 Speaker 1: established it the ronde. I feel like I would have 89 00:04:59,640 --> 00:05:02,200 Speaker 1: loved to watch the matrix with you, and when all 90 00:05:02,200 --> 00:05:04,160 Speaker 1: those zeros at once come down the screen, you would 91 00:05:04,160 --> 00:05:09,760 Speaker 1: say they misspelled that I've forgotten more than I remember. 92 00:05:10,640 --> 00:05:13,360 Speaker 1: That's fair. I'm sure that. I'm sure what you remember 93 00:05:13,480 --> 00:05:16,599 Speaker 1: is more than anything I've learned. So you're still way 94 00:05:16,640 --> 00:05:19,039 Speaker 1: ahead of the game. Well, well, what was your first 95 00:05:19,240 --> 00:05:22,600 Speaker 1: first job in the I T field? Well, this one 96 00:05:22,600 --> 00:05:24,960 Speaker 1: may surprise you a little bit. I actually didn't start 97 00:05:25,279 --> 00:05:28,920 Speaker 1: in you know, traditional it until I was about twenty 98 00:05:29,000 --> 00:05:32,320 Speaker 1: years into my career. I was certainly in technology, but 99 00:05:32,360 --> 00:05:35,799 Speaker 1: I was on the product development side of the technology spectrum. 100 00:05:35,839 --> 00:05:38,280 Speaker 1: I started with a company called n c R at 101 00:05:38,279 --> 00:05:41,240 Speaker 1: the time, and we were vertically integrating all the components 102 00:05:41,240 --> 00:05:46,039 Speaker 1: in the stack of client server architecture computer systems, and 103 00:05:46,080 --> 00:05:50,640 Speaker 1: so we were doing motherboards, storage, subsystems, operating systems, all 104 00:05:50,640 --> 00:05:53,800 Speaker 1: that good stuff. So I didn't officially join an I 105 00:05:53,880 --> 00:05:57,320 Speaker 1: T organization until I joined DEL And I joined DEL 106 00:05:57,760 --> 00:06:00,279 Speaker 1: on the product side of the organization. Uh spin about 107 00:06:00,320 --> 00:06:03,919 Speaker 1: six years there, and Dell was um if you can remember, 108 00:06:04,000 --> 00:06:06,400 Speaker 1: and probably still is, was on this rocket ship of 109 00:06:06,440 --> 00:06:10,640 Speaker 1: growth and the internal tech team just wasn't keeping pace 110 00:06:10,720 --> 00:06:12,080 Speaker 1: with the growth of the business. There are a lot 111 00:06:12,160 --> 00:06:15,600 Speaker 1: of complaints. Large investments were being sent that way, and 112 00:06:16,400 --> 00:06:19,760 Speaker 1: I was asked to transition into it because it needed 113 00:06:19,800 --> 00:06:22,400 Speaker 1: a lot of adult supervision to make sure that all 114 00:06:22,480 --> 00:06:26,120 Speaker 1: of these investments were delivering the right value. And I'll 115 00:06:26,120 --> 00:06:28,360 Speaker 1: tell you I wasn't sure I wanted to make that leap. 116 00:06:28,640 --> 00:06:32,320 Speaker 1: I really didn't understand the function that well. My impressions 117 00:06:32,360 --> 00:06:36,280 Speaker 1: were not positive. I felt like it was this bureaucratic organization. 118 00:06:36,520 --> 00:06:40,559 Speaker 1: It was slow, certainly not innovative, and likely the place 119 00:06:40,600 --> 00:06:43,599 Speaker 1: where the lesser engineers went to spend their time. I 120 00:06:43,640 --> 00:06:46,640 Speaker 1: know that sounds terrible, but I am so glad I 121 00:06:46,680 --> 00:06:50,280 Speaker 1: took that leap and would recommend that everyone spends some 122 00:06:50,400 --> 00:06:52,960 Speaker 1: time getting to know the function. It'll make you a 123 00:06:52,960 --> 00:06:55,400 Speaker 1: better contributor, it'll make you a better leader. I mean, 124 00:06:55,400 --> 00:06:59,640 Speaker 1: you see every transaction and you also see all the 125 00:06:59,640 --> 00:07:02,640 Speaker 1: OPPERA tunities to improve efficiency. So it's a great function. 126 00:07:02,800 --> 00:07:05,360 Speaker 1: Love it right, and it's it's the function that touches 127 00:07:05,480 --> 00:07:08,760 Speaker 1: every other function within the company, whereas some might be 128 00:07:09,279 --> 00:07:14,080 Speaker 1: you know, somewhat siloed I T has you know, it 129 00:07:14,160 --> 00:07:18,480 Speaker 1: touches on every single other part of an organization. Absolutely 130 00:07:18,520 --> 00:07:25,440 Speaker 1: fascinating too. Well, what brought you to Stanley Blackendecker? Well, um, 131 00:07:25,480 --> 00:07:28,080 Speaker 1: I was heads down in the I T function at 132 00:07:28,160 --> 00:07:31,480 Speaker 1: Dell and got a call from a recruiter and they 133 00:07:31,480 --> 00:07:34,800 Speaker 1: said Stanley Blackendecker, And I said, located where you know? 134 00:07:35,000 --> 00:07:38,240 Speaker 1: You hear the southern accent and they said, New Britain, Connecticut. 135 00:07:38,560 --> 00:07:40,440 Speaker 1: Had to get a map out or you know, google 136 00:07:40,440 --> 00:07:43,000 Speaker 1: it to see where where it was. And they said, 137 00:07:43,200 --> 00:07:45,600 Speaker 1: just talk to them. They're doing some fantastic things as 138 00:07:45,600 --> 00:07:49,280 Speaker 1: a great leadership team. So I did, and I was 139 00:07:49,400 --> 00:07:54,040 Speaker 1: fascinated by all of the different businesses that Stanley Blackendecker 140 00:07:54,120 --> 00:07:56,880 Speaker 1: was in, from the tools and storage where they're a leader, 141 00:07:57,280 --> 00:08:01,480 Speaker 1: to the industrial business segment and even as security segment 142 00:08:01,600 --> 00:08:04,360 Speaker 1: where electronic security was being done. And thought that that 143 00:08:04,440 --> 00:08:08,360 Speaker 1: diversity would be fantastic, pursued it and here I am, 144 00:08:08,520 --> 00:08:11,760 Speaker 1: almost nine years later. Fantastic. Can you give us an 145 00:08:11,760 --> 00:08:15,880 Speaker 1: idea about how big your department is? We invest about 146 00:08:15,920 --> 00:08:18,160 Speaker 1: two and a half percent of revenue in I T 147 00:08:18,400 --> 00:08:21,239 Speaker 1: annually give or take the year, depending on the ebbs 148 00:08:21,280 --> 00:08:23,360 Speaker 1: and blow and if we're doing a big acquisition or 149 00:08:23,400 --> 00:08:27,800 Speaker 1: something like that. But that's above um the industrial kind 150 00:08:27,800 --> 00:08:30,920 Speaker 1: of segment benchmark. So we we spend well because we 151 00:08:30,960 --> 00:08:34,960 Speaker 1: believe in growth, we believe in innovation, and most importantly 152 00:08:35,120 --> 00:08:38,480 Speaker 1: understand the link of a well architected well under you know, 153 00:08:38,559 --> 00:08:41,640 Speaker 1: well running I T and accelerating both of those things. 154 00:08:41,960 --> 00:08:45,559 Speaker 1: For head count, just before the COVID pandemic, we were 155 00:08:45,600 --> 00:08:50,280 Speaker 1: about fifteen hundred person resource organization globally. And I say 156 00:08:50,360 --> 00:08:53,880 Speaker 1: just before COVID because in the year prior we planned 157 00:08:54,040 --> 00:08:58,000 Speaker 1: a large integration with a manage service provider, which has 158 00:08:58,040 --> 00:09:01,600 Speaker 1: now resulted in our internal headcount being just over about 159 00:09:01,600 --> 00:09:05,280 Speaker 1: five fifty people and our provider head count is over 160 00:09:05,360 --> 00:09:09,480 Speaker 1: fourteen hundreds, so it's a substantial operation. Well, this is 161 00:09:09,520 --> 00:09:11,640 Speaker 1: a good chance for us to kind of segue into 162 00:09:11,640 --> 00:09:16,480 Speaker 1: talking about your approach to the leadership. And I caught 163 00:09:17,120 --> 00:09:21,200 Speaker 1: a conversation you had where you were talking about the 164 00:09:21,400 --> 00:09:25,160 Speaker 1: different categories of it within Stanley, Black and Decker with 165 00:09:25,280 --> 00:09:27,880 Speaker 1: bt C T and O T. Can you kind of 166 00:09:28,200 --> 00:09:31,480 Speaker 1: give us an overview of what you mean by that. Yes, 167 00:09:32,200 --> 00:09:35,080 Speaker 1: we use digital technology in all areas of the company, 168 00:09:35,080 --> 00:09:38,360 Speaker 1: as do most companies today, but we call out these 169 00:09:38,400 --> 00:09:42,679 Speaker 1: three focuses. Business Technology BT, which is your traditional IT 170 00:09:43,480 --> 00:09:47,200 Speaker 1: operations technology, which is the technology within our manufacturing and 171 00:09:47,240 --> 00:09:51,800 Speaker 1: distribution centers that connect and automate machine to machine functions. 172 00:09:52,440 --> 00:09:55,560 Speaker 1: And then our commercial technology, which is our digital products 173 00:09:55,600 --> 00:09:59,040 Speaker 1: and services that we provide to our customers. Now came 174 00:09:59,120 --> 00:10:02,320 Speaker 1: up with these terms MS not to define our divide 175 00:10:02,320 --> 00:10:05,880 Speaker 1: our efforts, but really to align them. So while each 176 00:10:05,920 --> 00:10:09,400 Speaker 1: area uses these technologies in different ways, we found that 177 00:10:09,480 --> 00:10:13,120 Speaker 1: we were talking past each other at times because things 178 00:10:13,120 --> 00:10:16,240 Speaker 1: were similar yet different. So once we got this clarity 179 00:10:16,280 --> 00:10:19,280 Speaker 1: in place about you know, who was doing what and 180 00:10:19,320 --> 00:10:22,160 Speaker 1: how it was being used, we could drive accountability. We 181 00:10:22,160 --> 00:10:24,600 Speaker 1: were able to focus on the interfaces that connect them 182 00:10:24,720 --> 00:10:29,040 Speaker 1: in a much more kind of architected, standardized, and an 183 00:10:29,040 --> 00:10:32,920 Speaker 1: agile way. So it's proven very beneficial in allowing us 184 00:10:32,920 --> 00:10:35,920 Speaker 1: to go faster, even though it sounds like alphabet soup 185 00:10:36,000 --> 00:10:39,280 Speaker 1: to someone perhaps on the outside, well, what what is 186 00:10:39,320 --> 00:10:43,080 Speaker 1: your role with regard to these different technologies? What do 187 00:10:43,160 --> 00:10:47,200 Speaker 1: you tend to focus on? Yeah, so I have responsibility 188 00:10:47,240 --> 00:10:50,040 Speaker 1: for the traditional I T or the business technology that 189 00:10:50,120 --> 00:10:55,319 Speaker 1: runs the enterprise, so your marketing software, sales engineering, manufacturing, 190 00:10:55,320 --> 00:11:00,000 Speaker 1: distribution service support all of that business architecture functionality also 191 00:11:00,080 --> 00:11:03,760 Speaker 1: includes a data platform as well as the connectivity platform, 192 00:11:03,880 --> 00:11:06,000 Speaker 1: so things that you would expect in a traditional I 193 00:11:06,080 --> 00:11:09,760 Speaker 1: T organization, But we have a separate team focused on 194 00:11:09,920 --> 00:11:13,000 Speaker 1: the OT technology that runs inside of our factories. And 195 00:11:13,000 --> 00:11:16,199 Speaker 1: then we have many product teams across our various businesses 196 00:11:16,240 --> 00:11:19,719 Speaker 1: that are focused on the products and solutions and services 197 00:11:20,200 --> 00:11:22,880 Speaker 1: that they sell to our customers to help them solve 198 00:11:22,920 --> 00:11:26,760 Speaker 1: their problems. So I will say, though I do cover 199 00:11:27,000 --> 00:11:30,280 Speaker 1: because the Global Security Office reports to me, and so 200 00:11:30,480 --> 00:11:35,520 Speaker 1: I have cybersecurity across all the technology areas, and you 201 00:11:35,559 --> 00:11:38,560 Speaker 1: can't pick up a newspaper, listen to anything without hearing 202 00:11:38,559 --> 00:11:41,440 Speaker 1: the importance of cybersecurity. And we wanted to put all 203 00:11:41,480 --> 00:11:44,959 Speaker 1: of that capability together and rightly so I think to 204 00:11:45,240 --> 00:11:47,559 Speaker 1: kind of centralize our efforts and have a greater impact 205 00:11:54,000 --> 00:11:57,240 Speaker 1: at T Mobile for business. Unconventional thinking means we see 206 00:11:57,280 --> 00:12:00,200 Speaker 1: things differently, so you can focus on what matters most host. 207 00:12:00,440 --> 00:12:03,640 Speaker 1: Where some see another small town, we see businesses in 208 00:12:03,679 --> 00:12:06,360 Speaker 1: need of connectivity. So we built the largest five G 209 00:12:06,520 --> 00:12:09,880 Speaker 1: network to cover cities, towns, and the most interstate miles 210 00:12:09,920 --> 00:12:12,320 Speaker 1: in between. Where some see a caller in a queue, 211 00:12:12,520 --> 00:12:15,640 Speaker 1: we see an opportunity for our experts to provide solutions 212 00:12:15,760 --> 00:12:19,800 Speaker 1: without transfers. Where some see another virtual meeting, we see 213 00:12:19,840 --> 00:12:23,800 Speaker 1: five G enabling wireless real time translations almost anywhere you 214 00:12:23,840 --> 00:12:26,839 Speaker 1: do business. Our unique approach has made us the leader 215 00:12:26,920 --> 00:12:30,120 Speaker 1: in five G, number one in customer satisfaction, and a 216 00:12:30,160 --> 00:12:33,040 Speaker 1: partner who includes first class benefits like five G and 217 00:12:33,200 --> 00:12:36,280 Speaker 1: every plan so you get it all without trade offs. 218 00:12:36,640 --> 00:12:40,400 Speaker 1: Unconventional thinking is better for business T Mobile for Business 219 00:12:40,640 --> 00:12:42,719 Speaker 1: Open Signal Awards T Mobile as America's passes five G 220 00:12:42,800 --> 00:12:45,760 Speaker 1: Network USA five G User Experience REPORTUL one capable device 221 00:12:45,760 --> 00:12:47,640 Speaker 1: required coverage not available in some areas. Some uses may 222 00:12:47,640 --> 00:12:49,559 Speaker 1: require certain planner feature. See mobile dot com. For JD 223 00:12:49,600 --> 00:12:59,280 Speaker 1: Power Award information, visit JD power dot com Slash Awards. Well, 224 00:12:59,440 --> 00:13:01,000 Speaker 1: can you tell a little bit about some of the 225 00:13:01,080 --> 00:13:04,559 Speaker 1: major endeavors that your team has undertaken during your tenure 226 00:13:04,840 --> 00:13:08,240 Speaker 1: with Stanley Blackendecker? All right, so I'm coming up on 227 00:13:08,320 --> 00:13:10,920 Speaker 1: nine years with the company and Jonathan, so sit back. 228 00:13:10,960 --> 00:13:14,080 Speaker 1: It's gonna take me a while. I'm just getting But 229 00:13:14,200 --> 00:13:18,319 Speaker 1: to start, we were the first function in the modern 230 00:13:18,400 --> 00:13:21,920 Speaker 1: company to centralize. And I say modern because we're over 231 00:13:21,960 --> 00:13:24,640 Speaker 1: a hundred seventy five year old company. Um so I'm 232 00:13:24,640 --> 00:13:27,840 Speaker 1: not sure I have a complete history. But this centralization 233 00:13:28,040 --> 00:13:31,720 Speaker 1: is significant in that we had traditionally run the company 234 00:13:31,760 --> 00:13:35,280 Speaker 1: as independent segments and P and l's all with their 235 00:13:35,320 --> 00:13:38,200 Speaker 1: own I T. And the result really was great. It 236 00:13:38,240 --> 00:13:41,400 Speaker 1: was a no excuses culture that achieved its financial objectives 237 00:13:41,400 --> 00:13:44,560 Speaker 1: with autonomy and speed. But we also did about a 238 00:13:44,600 --> 00:13:48,320 Speaker 1: hundred acquisitions in a ten year timeframe, and that autonomy 239 00:13:48,600 --> 00:13:52,240 Speaker 1: with respect to your technology decisions really reeked Abbott on 240 00:13:52,280 --> 00:13:56,560 Speaker 1: the I T landscape from both an efficiency and effectiveness perspective. 241 00:13:56,640 --> 00:14:02,640 Speaker 1: So by centralizing, we were able to coordinate talent investments, contracts, 242 00:14:02,720 --> 00:14:05,920 Speaker 1: architecture to really be a value driver for the company. 243 00:14:05,960 --> 00:14:08,120 Speaker 1: Of course, it's still a work in progress. If if 244 00:14:08,160 --> 00:14:10,640 Speaker 1: I could you know those That was kind of wave 245 00:14:10,720 --> 00:14:13,400 Speaker 1: one in my tenure. Wave two has been all about 246 00:14:13,760 --> 00:14:15,959 Speaker 1: the democratization of I T. And I know that's a 247 00:14:16,440 --> 00:14:20,120 Speaker 1: overuse term, but we're doing it because we know that 248 00:14:20,200 --> 00:14:24,000 Speaker 1: I T must kind of position the technology of the 249 00:14:24,000 --> 00:14:27,840 Speaker 1: base of the company for rapid innovation and change. It's 250 00:14:27,880 --> 00:14:32,440 Speaker 1: not slowing down. But again, you know, a hundred seventy 251 00:14:32,440 --> 00:14:35,760 Speaker 1: five year old company built with a focus on inorganic growth, 252 00:14:35,800 --> 00:14:39,400 Speaker 1: a lot of acquisitions. The technology based needs some work 253 00:14:39,440 --> 00:14:42,200 Speaker 1: to be democratized. And we've done some some great things. 254 00:14:42,280 --> 00:14:45,120 Speaker 1: And one of the first things I did was an 255 00:14:45,240 --> 00:14:49,200 Speaker 1: M and a playbook. You heard a hundred acquisitions, and 256 00:14:49,320 --> 00:14:51,440 Speaker 1: we now have a comprehensive M and a playbook and 257 00:14:51,440 --> 00:14:54,200 Speaker 1: how we approach That's that's one example. But you know, 258 00:14:54,240 --> 00:14:58,040 Speaker 1: getting out of our company owned data centers, rationalizing applications, 259 00:14:58,120 --> 00:15:02,680 Speaker 1: moving to s D, when a adopting Facebook's workplace for collaboration, 260 00:15:02,840 --> 00:15:06,440 Speaker 1: We've we've tried to sprinkle in innovations as well as 261 00:15:06,480 --> 00:15:08,960 Speaker 1: the mundane work of rolling up your sleeves and and 262 00:15:09,040 --> 00:15:12,360 Speaker 1: do an apperath come along way. Yeah, that's that's incredible. 263 00:15:12,400 --> 00:15:15,200 Speaker 1: I mean, I've been part of a few different mergers 264 00:15:15,200 --> 00:15:17,880 Speaker 1: and acquisitions, have been an organizations that have gone through 265 00:15:17,920 --> 00:15:23,920 Speaker 1: that and the process of getting everything to align everything 266 00:15:23,960 --> 00:15:27,280 Speaker 1: from the culture level down to that basic I T 267 00:15:27,440 --> 00:15:32,520 Speaker 1: infrastructure so that things run smoothly. That is a large 268 00:15:32,600 --> 00:15:36,240 Speaker 1: task just on a one case basis, and of course 269 00:15:36,240 --> 00:15:40,280 Speaker 1: you're talking about that across dozens so I imagine that 270 00:15:40,280 --> 00:15:45,360 Speaker 1: that ends up being an enormous focus for your team. Absolutely, 271 00:15:45,760 --> 00:15:47,760 Speaker 1: and then of course with the new areas that I 272 00:15:47,840 --> 00:15:50,560 Speaker 1: talked a little bit about earlier, like the the OT space, 273 00:15:50,680 --> 00:15:54,280 Speaker 1: we've we've been working to engineer and install edge compute 274 00:15:54,320 --> 00:15:58,040 Speaker 1: so that the O T two BT. We really really 275 00:15:58,080 --> 00:16:00,880 Speaker 1: believe that data at the center of everything we do, 276 00:16:01,240 --> 00:16:04,320 Speaker 1: and then the connectivity all around is the way to 277 00:16:05,120 --> 00:16:08,120 Speaker 1: really hyper scale, if you will, our ability to deliver 278 00:16:08,120 --> 00:16:11,480 Speaker 1: our own business results. Well, and you've touched on something 279 00:16:11,640 --> 00:16:14,040 Speaker 1: that I really wanted to kind of get into as 280 00:16:14,080 --> 00:16:17,120 Speaker 1: well about data. What are some of the changes you've 281 00:16:17,120 --> 00:16:21,440 Speaker 1: seen in your career and I especially as this this 282 00:16:21,600 --> 00:16:25,440 Speaker 1: concept of big data has started to come into maturity. Yeah. So, 283 00:16:25,640 --> 00:16:30,480 Speaker 1: we used to use data as primarily a financial and 284 00:16:30,600 --> 00:16:34,120 Speaker 1: performance analysis type of tools. So it was very much 285 00:16:34,240 --> 00:16:37,160 Speaker 1: used by the finance organization and it still is today, 286 00:16:37,360 --> 00:16:41,000 Speaker 1: and they're just asking more advanced questions and doing much 287 00:16:41,000 --> 00:16:45,280 Speaker 1: more advanced analytics around pricing and things of that nature. 288 00:16:46,040 --> 00:16:50,840 Speaker 1: But every crevice of the organization now is asking what 289 00:16:50,920 --> 00:16:54,760 Speaker 1: if questions, and um, what if I married this data 290 00:16:54,800 --> 00:16:56,760 Speaker 1: set to that data set and we're we're able to 291 00:16:57,280 --> 00:17:00,160 Speaker 1: look at it So what I want to do is I, Oh, 292 00:17:00,200 --> 00:17:02,400 Speaker 1: those folks know the questions that they want to ask. 293 00:17:02,560 --> 00:17:04,240 Speaker 1: I want to make sure they have the data at 294 00:17:04,280 --> 00:17:07,000 Speaker 1: their fingertips and they're not waiting on some I T 295 00:17:07,280 --> 00:17:10,840 Speaker 1: organization to rationalize it for them. Get it on the roadmap. 296 00:17:10,920 --> 00:17:13,359 Speaker 1: You know, the bureaucracy that I felt like I was 297 00:17:13,400 --> 00:17:16,200 Speaker 1: dealing with when I wasn't in I T of You know, Rhonda, 298 00:17:16,320 --> 00:17:18,200 Speaker 1: let me get you on the roadmap. Let me talk 299 00:17:18,200 --> 00:17:20,040 Speaker 1: to this team, let me talk to that theme. I'm like, 300 00:17:20,119 --> 00:17:22,520 Speaker 1: I'm just trying to drive revenue. I don't want to 301 00:17:22,520 --> 00:17:25,200 Speaker 1: be that blocker. I want to be that enabler. And 302 00:17:25,240 --> 00:17:28,320 Speaker 1: by having date at the center with micro services or 303 00:17:28,359 --> 00:17:30,800 Speaker 1: API s that they can access it at the point 304 00:17:30,800 --> 00:17:34,920 Speaker 1: of impact is really what we're trying to achieve. It's 305 00:17:35,080 --> 00:17:39,800 Speaker 1: it's phenomenal to me because our world has truly become quantifiable, 306 00:17:40,760 --> 00:17:44,000 Speaker 1: well beyond anything I would have ever anticipated when I 307 00:17:44,040 --> 00:17:46,400 Speaker 1: was growing up. You just didn't think that you would 308 00:17:46,400 --> 00:17:50,560 Speaker 1: be encountering various technologies that would be able to measure 309 00:17:50,640 --> 00:17:56,840 Speaker 1: performance in all different directions by multiple different metrics, and 310 00:17:56,920 --> 00:17:59,240 Speaker 1: that all of this could have meaning if you know 311 00:17:59,320 --> 00:18:02,320 Speaker 1: what to do the data otherwise it just becomes an 312 00:18:02,400 --> 00:18:08,280 Speaker 1: overwhelming amount of information. Absolutely, and so we do what 313 00:18:08,320 --> 00:18:11,000 Speaker 1: we like to call kind of use case data mining, 314 00:18:11,040 --> 00:18:13,119 Speaker 1: if you will. And so you have a use case 315 00:18:13,160 --> 00:18:15,320 Speaker 1: in mind, and then you line up the data elements 316 00:18:15,359 --> 00:18:17,800 Speaker 1: that you need in order to attack that versus trying 317 00:18:17,800 --> 00:18:21,840 Speaker 1: to go across the entire enterprise and rationalize all the 318 00:18:21,920 --> 00:18:24,520 Speaker 1: data in our footprint. UM. So that's the approach we've 319 00:18:24,520 --> 00:18:29,280 Speaker 1: taken has proven pretty effective. After getting a better understanding 320 00:18:29,320 --> 00:18:33,760 Speaker 1: of Rhonda's background and experiences, I turned the conversation towards 321 00:18:33,840 --> 00:18:38,160 Speaker 1: the challenges I mean opportunities she encounters as c IO 322 00:18:38,400 --> 00:18:41,680 Speaker 1: of Stanley Blackendecker. Well, you know, I was gonna say, 323 00:18:41,680 --> 00:18:44,080 Speaker 1: I don't maybe I'm a glass half full type person. 324 00:18:44,160 --> 00:18:46,960 Speaker 1: I don't really see challenges. I see opportunities. I know 325 00:18:47,000 --> 00:18:49,640 Speaker 1: it's not easy, I really think, and we've we've sort 326 00:18:49,680 --> 00:18:52,240 Speaker 1: of touched on it in our discussion so far. But 327 00:18:52,920 --> 00:18:56,400 Speaker 1: change activation you can put a lot of technology in UM, 328 00:18:56,400 --> 00:19:00,200 Speaker 1: but it won't transform a company. Activating the change and 329 00:19:00,320 --> 00:19:03,959 Speaker 1: engaging folks in the organization on new ways of working. 330 00:19:04,240 --> 00:19:07,080 Speaker 1: To me, that's the secret sauce, and that's the really 331 00:19:07,119 --> 00:19:10,919 Speaker 1: difficult part. We've been great optimizers in the past, right, 332 00:19:11,000 --> 00:19:13,000 Speaker 1: so we can go in. We can take what we do. 333 00:19:13,400 --> 00:19:16,760 Speaker 1: We leaned it out, we automated, and that has value, 334 00:19:16,880 --> 00:19:20,439 Speaker 1: but it has incremental value. It doesn't have transformative value. 335 00:19:20,480 --> 00:19:23,520 Speaker 1: And what we need to do now is be transformers 336 00:19:23,520 --> 00:19:26,080 Speaker 1: and focus first on that outcome you want to drive, 337 00:19:26,760 --> 00:19:28,920 Speaker 1: and then change the way you work to achieve it, 338 00:19:29,240 --> 00:19:32,239 Speaker 1: and then let's talk about the technology that will enable it. 339 00:19:32,640 --> 00:19:36,000 Speaker 1: And some so many times we get that part before 340 00:19:36,080 --> 00:19:39,120 Speaker 1: the horse. And so if there's any opportunity, I think 341 00:19:39,160 --> 00:19:42,040 Speaker 1: it's that one, and I just term it change activation. 342 00:19:43,240 --> 00:19:45,960 Speaker 1: And I think that that ties into themes that I've 343 00:19:46,000 --> 00:19:50,840 Speaker 1: heard throughout this season of the Restless Ones, that particularly 344 00:19:50,880 --> 00:19:55,000 Speaker 1: the idea that you don't turn to technology for technology's sake. 345 00:19:55,080 --> 00:19:58,040 Speaker 1: You have an identified problem that you want to tackle, 346 00:19:58,359 --> 00:20:02,560 Speaker 1: and you look for w solutions are best served to 347 00:20:02,640 --> 00:20:06,639 Speaker 1: help you achieve that opportunity. Uh And and for people 348 00:20:06,760 --> 00:20:10,480 Speaker 1: of my level, it's like saying, don't go down the 349 00:20:10,520 --> 00:20:12,960 Speaker 1: rabbit hole of just buying every tool because you think 350 00:20:13,000 --> 00:20:16,359 Speaker 1: the tools are pretty what's the thing you're actually trying 351 00:20:16,359 --> 00:20:18,280 Speaker 1: to build, and make sure you get the right tools 352 00:20:18,320 --> 00:20:21,479 Speaker 1: for that job, right. And I've gone so far as 353 00:20:22,040 --> 00:20:24,199 Speaker 1: The way I work with my organization is to let 354 00:20:24,240 --> 00:20:28,119 Speaker 1: the business users experiment with those fancy tools on the 355 00:20:28,320 --> 00:20:31,119 Speaker 1: on the edge, if you will, and see what works 356 00:20:31,160 --> 00:20:34,240 Speaker 1: for them. We focus on that foundation again. Is the 357 00:20:34,320 --> 00:20:39,080 Speaker 1: data standardized, our our our processes standardized or things automated? 358 00:20:39,080 --> 00:20:41,879 Speaker 1: Are they accessible via via A P I S and 359 00:20:41,920 --> 00:20:44,480 Speaker 1: the rest will take care of itself? Are we there yet? No? 360 00:20:44,800 --> 00:20:47,320 Speaker 1: But but that's kind of how we're thinking about it. 361 00:20:48,080 --> 00:20:50,159 Speaker 1: What are some of the technologies you would consider to 362 00:20:50,160 --> 00:20:54,120 Speaker 1: be like, you know, core and fundamental to your division? 363 00:20:54,280 --> 00:20:55,960 Speaker 1: What are what are the things you think of as 364 00:20:56,040 --> 00:21:00,240 Speaker 1: just being This is the bedrock upon which we build old, 365 00:21:01,320 --> 00:21:03,879 Speaker 1: the bedrock upon which we build UM is going to 366 00:21:03,960 --> 00:21:07,040 Speaker 1: be some basic stuff. I mean, cloud is super important, 367 00:21:07,200 --> 00:21:10,439 Speaker 1: and I'm a fan of all clouds. I believe in 368 00:21:11,040 --> 00:21:14,000 Speaker 1: fit for purpose, So I think cloud and Internet is 369 00:21:14,480 --> 00:21:17,680 Speaker 1: wonderful tools that allowing us to deliver on our vision 370 00:21:17,680 --> 00:21:21,119 Speaker 1: of democratized I T five G is gonna play a 371 00:21:21,200 --> 00:21:25,240 Speaker 1: huge role as we get more and more IoT the 372 00:21:25,280 --> 00:21:28,080 Speaker 1: benefits it can drive with you know, pretty much sensors 373 00:21:28,119 --> 00:21:31,720 Speaker 1: on everything and machines talking to machines. We've now come 374 00:21:31,760 --> 00:21:35,280 Speaker 1: across the issue with latency as we're trying to use 375 00:21:35,320 --> 00:21:38,400 Speaker 1: the cloud, so having five G in place is going 376 00:21:38,480 --> 00:21:42,080 Speaker 1: to be phenomenal in kind of, you know, swatting down 377 00:21:42,440 --> 00:21:44,560 Speaker 1: that particular roadblock. So those would be the ones that 378 00:21:45,160 --> 00:21:48,719 Speaker 1: come to mind. Those are favorite topics of mine, obviously, 379 00:21:49,119 --> 00:21:52,399 Speaker 1: so I I appreciate those coming up for someone who 380 00:21:52,480 --> 00:21:56,480 Speaker 1: deals so thoroughly with the world of information. If you're 381 00:21:56,520 --> 00:21:59,560 Speaker 1: talking about, uh, the Internet of things, that you're talking 382 00:21:59,600 --> 00:22:04,199 Speaker 1: about getting more data from more sources at more points 383 00:22:04,200 --> 00:22:07,679 Speaker 1: of contact than ever before. And when you have the 384 00:22:07,720 --> 00:22:12,120 Speaker 1: ability to transmit information without having things tethered and you're 385 00:22:12,119 --> 00:22:17,680 Speaker 1: still getting that incredible throughput and incredibly low latency, it 386 00:22:17,720 --> 00:22:23,239 Speaker 1: opens up opportunities for responsiveness at such a low delay 387 00:22:23,280 --> 00:22:26,919 Speaker 1: that I think all elements of business are going to 388 00:22:26,960 --> 00:22:33,920 Speaker 1: be incredibly transformed moving forward. I was eager to get 389 00:22:34,080 --> 00:22:39,200 Speaker 1: Ronda's perspective regarding various new technologies, but I also wanted 390 00:22:39,240 --> 00:22:42,000 Speaker 1: to learn more about how she helped guide such an 391 00:22:42,040 --> 00:22:47,000 Speaker 1: historic company, one that was dependent on legacy systems and 392 00:22:47,080 --> 00:22:53,240 Speaker 1: processes through a digital transformation. You're giving me an opportunity 393 00:22:53,280 --> 00:22:55,199 Speaker 1: to talk about something that we're really proud of, and 394 00:22:55,240 --> 00:22:58,119 Speaker 1: that's our operating model and the first generation of our 395 00:22:58,160 --> 00:23:01,480 Speaker 1: Our operating model was called sf US, our Stanley Fulfillment 396 00:23:01,520 --> 00:23:04,800 Speaker 1: System and as you can imagine, it focused on lean 397 00:23:04,880 --> 00:23:09,639 Speaker 1: principles applying to everything, likely from our manufacturing heritage, right. 398 00:23:10,320 --> 00:23:13,919 Speaker 1: We just revamp that model and it starts with people 399 00:23:13,960 --> 00:23:18,040 Speaker 1: and technology at the center. It's a combination of data connectivity, 400 00:23:18,160 --> 00:23:20,879 Speaker 1: some of the themes you've heard, but then also people 401 00:23:21,080 --> 00:23:25,200 Speaker 1: effectively using it that will make this model work. Now 402 00:23:25,240 --> 00:23:28,520 Speaker 1: around our central model there with people in technology at 403 00:23:28,520 --> 00:23:31,720 Speaker 1: the center, we have four things. We have the extraordinary 404 00:23:31,760 --> 00:23:34,640 Speaker 1: customer experience, so not just customer experience, but we want 405 00:23:34,640 --> 00:23:37,760 Speaker 1: it to be an extraordinary customer experience. And so that's 406 00:23:37,800 --> 00:23:40,840 Speaker 1: meeting the customer where and when and how they want 407 00:23:40,840 --> 00:23:43,679 Speaker 1: to be met with the right products and services at 408 00:23:43,720 --> 00:23:45,720 Speaker 1: the right time, and I like to say in plenty 409 00:23:45,720 --> 00:23:48,439 Speaker 1: of it. And that has a lot of implications to 410 00:23:48,480 --> 00:23:50,679 Speaker 1: the people in technology at the center that are enabling it. 411 00:23:50,720 --> 00:23:53,879 Speaker 1: So you'll see how this all operates together. We also 412 00:23:53,880 --> 00:23:57,200 Speaker 1: have a key focus area that's called extreme innovation, so 413 00:23:57,359 --> 00:24:01,000 Speaker 1: not innovation, but extreme innovation. We expect everyone to innovate. 414 00:24:01,280 --> 00:24:05,600 Speaker 1: We expect incremental innovation everywhere, but this is harnessing technology 415 00:24:05,640 --> 00:24:08,320 Speaker 1: to provide better products and services to our customers, so 416 00:24:08,520 --> 00:24:11,600 Speaker 1: you're gonna hear that customer theme throughout as well. And 417 00:24:11,640 --> 00:24:14,480 Speaker 1: then there's something that is really close to our heritage 418 00:24:14,520 --> 00:24:18,919 Speaker 1: around performance resiliency, and that's using data and analytics and 419 00:24:18,960 --> 00:24:24,080 Speaker 1: AI to sustain our continued top quartile financial performance, so 420 00:24:24,400 --> 00:24:28,760 Speaker 1: making sure we're always optimizing and sustaining and driving value. 421 00:24:29,520 --> 00:24:33,000 Speaker 1: And the fourth one is operations excellence. UM. We're a 422 00:24:33,000 --> 00:24:37,000 Speaker 1: manufacturing company at heart. UM. That's what our hundred seventy 423 00:24:37,040 --> 00:24:39,440 Speaker 1: five years plus has been built on, and we don't 424 00:24:39,440 --> 00:24:42,639 Speaker 1: want to lose sight of operations excellence, but it's also 425 00:24:42,760 --> 00:24:45,640 Speaker 1: being innovated around some of the industry for it, out 426 00:24:45,640 --> 00:24:49,440 Speaker 1: of all of the advanced state and analytics being applied. 427 00:24:49,480 --> 00:24:52,720 Speaker 1: Inside of that environment, we have I believe a hundred 428 00:24:52,760 --> 00:24:56,280 Speaker 1: and forty or so manufacturing and distribution centers around the globe. 429 00:24:56,320 --> 00:24:59,359 Speaker 1: So our path is charted and we've got quite a 430 00:24:59,359 --> 00:25:00,920 Speaker 1: bit of work to do in that arena as well. 431 00:25:01,560 --> 00:25:04,720 Speaker 1: And I've talked to a few people who have been 432 00:25:04,840 --> 00:25:08,679 Speaker 1: parts of worked with companies that are, you know, around 433 00:25:08,680 --> 00:25:12,800 Speaker 1: the centennial mark. We're getting closer to the two centennial 434 00:25:12,840 --> 00:25:16,680 Speaker 1: mark for Stanley, Black and Decker. I imagine that the 435 00:25:16,760 --> 00:25:21,280 Speaker 1: digital transformation. It's hard for me to even conceptualize what 436 00:25:21,359 --> 00:25:23,960 Speaker 1: that process is like when you're talking about a legacy 437 00:25:24,000 --> 00:25:26,480 Speaker 1: company that has that much history in it, one that 438 00:25:26,600 --> 00:25:30,080 Speaker 1: you might not immediately associate with things like a digital 439 00:25:30,119 --> 00:25:35,120 Speaker 1: transformation and a reliance upon data and AI was the 440 00:25:35,160 --> 00:25:38,880 Speaker 1: process of actually implementing one that required a lot of 441 00:25:38,880 --> 00:25:42,720 Speaker 1: of conversations and and convincing people to go down this route. 442 00:25:43,680 --> 00:25:46,320 Speaker 1: You know, I don't know that it took convincing, but 443 00:25:46,400 --> 00:25:48,800 Speaker 1: it did take the tops down in bottoms up alignment. 444 00:25:49,280 --> 00:25:52,680 Speaker 1: And so we're not going after innovation for innovation sake 445 00:25:53,040 --> 00:25:58,440 Speaker 1: or technology for technology's sake, but meaningful innovation and meaningful 446 00:25:58,480 --> 00:26:01,880 Speaker 1: technology that's aligned with our purpose, which is for those 447 00:26:01,920 --> 00:26:05,440 Speaker 1: who make the world. It's aligned with our values, aligned 448 00:26:05,480 --> 00:26:08,240 Speaker 1: with you know, everything we're about. And so I think 449 00:26:08,320 --> 00:26:11,000 Speaker 1: that's where the work has been involved as always, right, 450 00:26:11,160 --> 00:26:14,240 Speaker 1: creating that clarity and making sure that you know, are 451 00:26:14,400 --> 00:26:19,399 Speaker 1: close to six sixty employees understand what we're doing and why. 452 00:26:19,440 --> 00:26:22,960 Speaker 1: That's where the conversations took place, more than the fact 453 00:26:22,960 --> 00:26:26,240 Speaker 1: that we needed to digitally transform. Well, that's great. One 454 00:26:26,240 --> 00:26:28,440 Speaker 1: thing I really wanted to talk about. It's it's because 455 00:26:28,480 --> 00:26:31,680 Speaker 1: it's sort of a passion interest of mine is that 456 00:26:32,359 --> 00:26:36,440 Speaker 1: recently we've really seen a lot of momentum being built 457 00:26:36,480 --> 00:26:40,600 Speaker 1: behind the right to repair movement, this idea of empowering 458 00:26:40,640 --> 00:26:44,800 Speaker 1: people to be able to do things more themselves um 459 00:26:44,960 --> 00:26:48,760 Speaker 1: and that in turn is seeing kind of arise in 460 00:26:48,840 --> 00:26:53,280 Speaker 1: sort of the d I Y approach two everything really 461 00:26:53,320 --> 00:26:57,159 Speaker 1: but specifically to repairs and two tools and what ways 462 00:26:58,200 --> 00:27:00,480 Speaker 1: is the company using data to help take an advantage 463 00:27:00,480 --> 00:27:05,320 Speaker 1: of this kind of unique situation. Anything that fuels d 464 00:27:05,400 --> 00:27:09,440 Speaker 1: I Y is fantastic for us. And we're we're kind 465 00:27:09,440 --> 00:27:12,080 Speaker 1: of right at that that intersection, and we we are 466 00:27:12,320 --> 00:27:16,560 Speaker 1: definitely amping up our capabilities around what our end users 467 00:27:16,600 --> 00:27:19,560 Speaker 1: are doing with our products and services, not just the 468 00:27:19,640 --> 00:27:23,159 Speaker 1: channel capabilities and what and how it might be sold. 469 00:27:23,760 --> 00:27:26,720 Speaker 1: Covid has been a great experiment in d I Y 470 00:27:26,960 --> 00:27:29,119 Speaker 1: from from what we do in tools, what we do 471 00:27:29,160 --> 00:27:32,119 Speaker 1: in our outdoor products. And I think everyone's sitting around 472 00:27:32,119 --> 00:27:34,080 Speaker 1: on their sofa which for what they thought was going 473 00:27:34,119 --> 00:27:36,160 Speaker 1: to be two or three weeks which turned into two 474 00:27:36,200 --> 00:27:39,040 Speaker 1: or three months, which turned into almost two years now 475 00:27:39,359 --> 00:27:42,280 Speaker 1: saw a lot of opportunity to improve not only the 476 00:27:42,359 --> 00:27:44,520 Speaker 1: inside of their homes, but the outside of their homes, 477 00:27:44,560 --> 00:27:47,560 Speaker 1: and we've been right there with them all along the way, 478 00:27:47,600 --> 00:27:51,240 Speaker 1: trying to use data, use analytics to continue to meet 479 00:27:51,880 --> 00:27:54,480 Speaker 1: their needs. Yeah, I I imagine that there will be 480 00:27:54,520 --> 00:27:58,120 Speaker 1: further opportunities in the future because of this. I am. 481 00:27:58,240 --> 00:28:00,439 Speaker 1: I also imagined that a lot of people are starting 482 00:28:00,440 --> 00:28:04,879 Speaker 1: to look at, uh, you know, different approaches to h 483 00:28:05,119 --> 00:28:08,639 Speaker 1: to being able to do your own repairs, simply because 484 00:28:08,680 --> 00:28:10,680 Speaker 1: this experience has taught a lot of us that that's 485 00:28:10,720 --> 00:28:13,200 Speaker 1: a handy skill to have when you when you can't 486 00:28:13,200 --> 00:28:15,040 Speaker 1: be certain that you can get someone to come to 487 00:28:15,080 --> 00:28:17,639 Speaker 1: your home, or you might not even feel safe in 488 00:28:17,680 --> 00:28:21,639 Speaker 1: that case. So I am. And the sustainability element of 489 00:28:21,640 --> 00:28:24,320 Speaker 1: it as well is also super important for us as 490 00:28:24,400 --> 00:28:27,080 Speaker 1: we think about the three things we care about as 491 00:28:27,119 --> 00:28:30,119 Speaker 1: a company, it's um, you know, our our performance. We 492 00:28:30,160 --> 00:28:33,280 Speaker 1: want to be known as an innovative company. And then 493 00:28:33,400 --> 00:28:36,399 Speaker 1: corporate social responsibility is the third leg of that stool. 494 00:28:36,440 --> 00:28:39,320 Speaker 1: And all of these things are converging right in our 495 00:28:39,360 --> 00:28:43,520 Speaker 1: wheelhouse so that we're sustaining our homes and sustaining our gardens. 496 00:28:43,560 --> 00:28:46,560 Speaker 1: And it's got a nice element as well. Agreed, Well, 497 00:28:46,920 --> 00:28:49,360 Speaker 1: you mentioned a little bit about AI. Can you talk 498 00:28:49,400 --> 00:28:51,920 Speaker 1: a little bit more about how AI and how automation 499 00:28:52,000 --> 00:28:55,640 Speaker 1: play a role at your company. Yes, so we're using 500 00:28:55,760 --> 00:28:59,880 Speaker 1: AI in lots of different areas, but I would call 501 00:29:00,040 --> 00:29:03,640 Speaker 1: out our industry for auto initiatives where we're trying to 502 00:29:04,200 --> 00:29:07,600 Speaker 1: use it to understand machine uptime and downtime. And you 503 00:29:07,640 --> 00:29:10,160 Speaker 1: can imagine you can also use that in our in 504 00:29:10,200 --> 00:29:13,280 Speaker 1: our offerings to provide service around um some of the 505 00:29:13,280 --> 00:29:15,840 Speaker 1: equipment that we provide our customers. So that would be 506 00:29:15,880 --> 00:29:20,120 Speaker 1: one area. Also just looking at our internal operations and 507 00:29:20,160 --> 00:29:23,800 Speaker 1: how our processes perform and what can we learn from 508 00:29:23,840 --> 00:29:27,040 Speaker 1: from those activities to again go back to our core 509 00:29:27,240 --> 00:29:29,320 Speaker 1: really optimize what we do and how we do it. 510 00:29:30,040 --> 00:29:34,000 Speaker 1: So using it everywhere that's also incredible. Well, can can 511 00:29:34,040 --> 00:29:37,080 Speaker 1: you tell me a little bit about the the way 512 00:29:37,120 --> 00:29:42,440 Speaker 1: that Stanley Blackendecker approaches the as a service model of business, 513 00:29:42,520 --> 00:29:46,600 Speaker 1: because as I understand it, they're multiple as a service 514 00:29:46,880 --> 00:29:50,480 Speaker 1: lines of business over at Stanley Black and Decker. Yeah, 515 00:29:50,520 --> 00:29:53,360 Speaker 1: I would start with our security business and that you know, 516 00:29:53,400 --> 00:29:58,960 Speaker 1: spend a traditional insecurity, our electronic security in particular where 517 00:29:59,040 --> 00:30:02,240 Speaker 1: you have your back adge and badge readers and monitoring 518 00:30:02,320 --> 00:30:08,480 Speaker 1: type systems, very very right for technology disruption per se, 519 00:30:08,520 --> 00:30:12,320 Speaker 1: and in not just in technology disruption, but technology disruption 520 00:30:12,360 --> 00:30:14,320 Speaker 1: because of the value that can be driven from as 521 00:30:14,320 --> 00:30:18,200 Speaker 1: a service models. So analyzing all of that data that 522 00:30:18,280 --> 00:30:22,320 Speaker 1: these readers and monitoring centers are able to capture and 523 00:30:22,360 --> 00:30:24,880 Speaker 1: provide value back to your end user as a result, 524 00:30:25,280 --> 00:30:27,120 Speaker 1: you know, that's where that's where the future is, and 525 00:30:27,120 --> 00:30:29,560 Speaker 1: that's how as a service and if you think about 526 00:30:29,600 --> 00:30:34,440 Speaker 1: it in terms of value that we can then monetize, 527 00:30:34,720 --> 00:30:37,920 Speaker 1: that's where it all comes together. Well. And and what 528 00:30:38,000 --> 00:30:42,800 Speaker 1: are some of the emerging technologies that you find particularly promising, 529 00:30:42,880 --> 00:30:46,600 Speaker 1: Like what are some that you you're eager to have 530 00:30:46,680 --> 00:30:51,960 Speaker 1: some experience with. I am supremely interested in UM five 531 00:30:52,040 --> 00:30:56,360 Speaker 1: G really materializing in a in a in a grand 532 00:30:56,360 --> 00:30:58,840 Speaker 1: way for us. So if you think about where we 533 00:30:58,880 --> 00:31:02,280 Speaker 1: do manufacturing and attribution, it's in pretty remote areas. So 534 00:31:02,320 --> 00:31:05,040 Speaker 1: there's there's quite a bit of of of heavy lift 535 00:31:05,120 --> 00:31:07,280 Speaker 1: that still needs to be done, and I'm very optimistic 536 00:31:07,320 --> 00:31:09,400 Speaker 1: that's going to happen. But when that does, it's going 537 00:31:09,440 --> 00:31:13,239 Speaker 1: to open up a whole um wave of opportunity for us, 538 00:31:13,240 --> 00:31:15,360 Speaker 1: and so I look forward to that. There are some 539 00:31:15,520 --> 00:31:18,320 Speaker 1: that quite frankly, I'm not quite sure what to do 540 00:31:18,400 --> 00:31:20,560 Speaker 1: with yet, but we do have folks in our company 541 00:31:20,600 --> 00:31:24,280 Speaker 1: that are experimenting but looking at quantum computing. Not sure 542 00:31:24,320 --> 00:31:26,280 Speaker 1: I know what to do with that, And I'm still 543 00:31:26,360 --> 00:31:28,520 Speaker 1: not quite clear on what I would do with the 544 00:31:28,560 --> 00:31:32,560 Speaker 1: blockchain and and some of the crypto currencies right now, 545 00:31:32,600 --> 00:31:35,880 Speaker 1: but I know we'll figure it out. I'm more optimistic 546 00:31:35,880 --> 00:31:39,240 Speaker 1: than pessimistic about it. Well, since you were getting into 547 00:31:39,280 --> 00:31:42,200 Speaker 1: that assembly machine language, I can't wait for you to 548 00:31:42,280 --> 00:31:45,480 Speaker 1: get your hands into some quantum computing where it's not 549 00:31:45,560 --> 00:31:48,200 Speaker 1: just a zero or a one, but it's both at 550 00:31:48,200 --> 00:31:52,040 Speaker 1: the same time. I can't even imagine. The more I 551 00:31:52,080 --> 00:31:56,240 Speaker 1: read about it, the less I feel I understand it absolutely. 552 00:31:57,640 --> 00:32:01,800 Speaker 1: I couldn't let Ronda go without asking her one more thing. 553 00:32:02,760 --> 00:32:05,480 Speaker 1: What do you think was the most surprising development in 554 00:32:05,520 --> 00:32:10,800 Speaker 1: technology over the last decade? Wow, the adoption rate, and 555 00:32:10,880 --> 00:32:13,760 Speaker 1: particularly what we've seen in COVID has been what comes 556 00:32:13,840 --> 00:32:17,040 Speaker 1: out of need? Is how innovation when there's a need 557 00:32:17,480 --> 00:32:19,800 Speaker 1: can really take hold. And I think COVID showed us 558 00:32:19,840 --> 00:32:23,840 Speaker 1: that innovation with a need is the magic. Yeah. No, 559 00:32:24,000 --> 00:32:27,000 Speaker 1: that phrase necessity is the mother of invention is not 560 00:32:27,280 --> 00:32:30,960 Speaker 1: just as saying it is life and we saw it happen, 561 00:32:31,040 --> 00:32:35,520 Speaker 1: didn't We We did, We still do. Randa, thank you 562 00:32:35,880 --> 00:32:39,120 Speaker 1: so much for joining us on the Restless Ones. This 563 00:32:39,200 --> 00:32:43,560 Speaker 1: has been a fantastic conversation. I've really enjoyed it. Thank you. 564 00:32:43,600 --> 00:32:50,720 Speaker 1: It was a lot of fun. As someone standing on 565 00:32:50,800 --> 00:32:54,720 Speaker 1: the outside of companies like Stanley Black and Decker, I'm 566 00:32:54,760 --> 00:32:59,680 Speaker 1: truly struck by the power of information. Before hosting this 567 00:32:59,680 --> 00:33:02,840 Speaker 1: show and having conversations like the one I had with Rhonda, 568 00:33:03,520 --> 00:33:07,800 Speaker 1: I didn't really appreciate how valuable information is and how 569 00:33:07,840 --> 00:33:12,400 Speaker 1: critical a component data analysis is for an organization's ability 570 00:33:12,480 --> 00:33:16,720 Speaker 1: to thrive in the modern world. Leveraging information to better 571 00:33:16,760 --> 00:33:22,920 Speaker 1: serve customers, partners, and employees is I think distinguishing factor 572 00:33:23,040 --> 00:33:26,400 Speaker 1: when it comes to measuring a company success. The companies 573 00:33:26,400 --> 00:33:29,240 Speaker 1: that do it well set themselves apart from the rest 574 00:33:29,240 --> 00:33:32,800 Speaker 1: of the pack. And as we see more IoT deployment 575 00:33:32,920 --> 00:33:37,280 Speaker 1: and five G accessibility, the amount and quality of information 576 00:33:37,320 --> 00:33:42,840 Speaker 1: available is growing exponentially. It will be a challenge or 577 00:33:42,960 --> 00:33:47,080 Speaker 1: perhaps an opportunity to take advantage of that, but I 578 00:33:47,120 --> 00:33:49,920 Speaker 1: think there's no doubt that the companies that do take 579 00:33:49,920 --> 00:33:55,040 Speaker 1: those opportunities will be the benchmark organizations in their respective industries. 580 00:33:55,960 --> 00:33:58,760 Speaker 1: Thank you for listening to the restless ones. Be sure 581 00:33:58,800 --> 00:34:01,480 Speaker 1: to tune into Future A episodes where all have more 582 00:34:01,560 --> 00:34:04,760 Speaker 1: conversations with leaders in tech who are shaping the future 583 00:34:04,880 --> 00:34:13,759 Speaker 1: of how technology and business intertwined. I'm Jonathan Strickland at 584 00:34:13,800 --> 00:34:17,120 Speaker 1: T Mobile. For business, unconventional thinking means we see things 585 00:34:17,120 --> 00:34:20,399 Speaker 1: differently so you can focus on what matters most. That's 586 00:34:20,400 --> 00:34:23,279 Speaker 1: why we've become the leader in five G, number one 587 00:34:23,280 --> 00:34:26,400 Speaker 1: in customer satisfaction, and a partner who includes five G 588 00:34:26,600 --> 00:34:30,280 Speaker 1: in every plan so you get it all. Unconventional thinking 589 00:34:30,360 --> 00:34:32,759 Speaker 1: is better for business. Open Signal Awards TEA Mobile as 590 00:34:32,760 --> 00:34:34,600 Speaker 1: America's baskets five network U I say five G user 591 00:34:34,560 --> 00:34:36,560 Speaker 1: experience of court your twenty twenty one Peopble device acquired 592 00:34:36,560 --> 00:34:38,359 Speaker 1: covers not available in some areas and uses requires certain 593 00:34:38,360 --> 00:34:40,920 Speaker 1: planning features. CE Mobile Com for JD Power Award information 594 00:34:40,960 --> 00:34:42,440 Speaker 1: is that Jdpower dot Com Slash Awards