1 00:00:01,120 --> 00:00:04,040 Speaker 1: The advancement in connectivity is probably one of the biggest 2 00:00:04,080 --> 00:00:06,280 Speaker 1: game changer in the last two decades to think about, 3 00:00:06,320 --> 00:00:08,520 Speaker 1: and along with the Internet, so I think connectivity it 4 00:00:08,520 --> 00:00:11,680 Speaker 1: definitely served as a very critical foundation in many many 5 00:00:11,680 --> 00:00:16,320 Speaker 1: areas within Johnson Johnson having the connectivity besides the compute 6 00:00:16,320 --> 00:00:19,560 Speaker 1: power is so crucial to support this process, to enable 7 00:00:19,680 --> 00:00:23,760 Speaker 1: us to bring data together from anywhere around the world 8 00:00:23,800 --> 00:00:27,240 Speaker 1: so that we can drive and support the work that 9 00:00:27,280 --> 00:00:32,680 Speaker 1: we do. Welcome to the restless ones. I'm Jonathan Strickland. 10 00:00:33,040 --> 00:00:37,280 Speaker 1: I've spent more than a decade really learning about technology, 11 00:00:37,520 --> 00:00:41,440 Speaker 1: what makes it tech, and then describing and explaining that 12 00:00:41,520 --> 00:00:44,920 Speaker 1: to my audience. But it's the conversations with the world's 13 00:00:45,040 --> 00:00:49,720 Speaker 1: most unconventional thinkers, the leaders at the intersection of technology 14 00:00:49,760 --> 00:00:53,880 Speaker 1: and business, that fascinate me the most. In partnership with 15 00:00:54,000 --> 00:00:56,800 Speaker 1: T Mobile for Business, I explore the unique set of 16 00:00:56,880 --> 00:00:59,440 Speaker 1: challenges that c t o s and c i os 17 00:00:59,480 --> 00:01:03,440 Speaker 1: and other tech executives face from advancements in cloud and 18 00:01:03,560 --> 00:01:07,399 Speaker 1: edge computing, software as a service, Internet of things, and 19 00:01:07,560 --> 00:01:11,360 Speaker 1: of course five G. We are often left wondering how 20 00:01:11,480 --> 00:01:15,600 Speaker 1: the leading minds in business continue to thrive. Let's find 21 00:01:15,640 --> 00:01:23,840 Speaker 1: out our guest today is Rowena Yo, chief technology officer 22 00:01:23,959 --> 00:01:27,399 Speaker 1: of Johnson and Johnson. I doubt I need to fill 23 00:01:27,440 --> 00:01:30,800 Speaker 1: you in on Johnson and Johnson. The company and brand 24 00:01:30,840 --> 00:01:33,800 Speaker 1: are known far and wide. It's been around since the 25 00:01:33,920 --> 00:01:37,760 Speaker 1: late nineteenth century. There are many reasons Johnson and Johnson 26 00:01:37,800 --> 00:01:40,920 Speaker 1: has stood the test of time, and among those reasons 27 00:01:41,200 --> 00:01:44,240 Speaker 1: is the fact that the company embraces technological solutions to 28 00:01:44,280 --> 00:01:48,600 Speaker 1: tackle tough business problems. But as we'll hear in this interview, 29 00:01:48,960 --> 00:01:52,600 Speaker 1: they need to be the right solutions. Rowena and I 30 00:01:52,640 --> 00:01:55,040 Speaker 1: sat down to talk about her background and how she 31 00:01:55,200 --> 00:01:57,920 Speaker 1: came to Johnson and Johnson, as well as her overall 32 00:01:57,920 --> 00:02:02,840 Speaker 1: philosophy when it comes to designing, evaluating, and implementing tech solutions. 33 00:02:03,440 --> 00:02:06,280 Speaker 1: She also opened my eyes to how maturing technologies are 34 00:02:06,280 --> 00:02:10,720 Speaker 1: already transforming the medical industry. True to form, I started 35 00:02:10,760 --> 00:02:15,000 Speaker 1: off by getting to know her a little bit better. Rowena, 36 00:02:15,240 --> 00:02:18,440 Speaker 1: thank you so much for joining us on the Restless Ones. 37 00:02:18,520 --> 00:02:21,200 Speaker 1: It is a pleasure to have you on the program. Hey, 38 00:02:21,240 --> 00:02:23,400 Speaker 1: thanks Jonathan for having me. It's my pleasure to be 39 00:02:23,440 --> 00:02:27,160 Speaker 1: here today. I always love to start these episodes by 40 00:02:27,240 --> 00:02:29,800 Speaker 1: learning a bit more about the background of my guest 41 00:02:30,280 --> 00:02:33,280 Speaker 1: and the question I always start with is how did 42 00:02:33,360 --> 00:02:37,640 Speaker 1: you first get interested in technology? Jonathan, I've always been 43 00:02:37,680 --> 00:02:41,480 Speaker 1: curious about things around me, like solar system, how rainbows 44 00:02:41,480 --> 00:02:44,800 Speaker 1: a form, and I would say that I've always been 45 00:02:45,080 --> 00:02:48,079 Speaker 1: a big love of math and signs. Um. I love 46 00:02:48,120 --> 00:02:51,080 Speaker 1: to create things resemble things. So I would say my 47 00:02:51,120 --> 00:02:55,200 Speaker 1: illnest exposure to technology was probably playing the game Where 48 00:02:55,240 --> 00:02:57,000 Speaker 1: in the World Is Come? In San Diego on a 49 00:02:57,040 --> 00:03:00,560 Speaker 1: Macintosh with my brother and my cousins when we were young. 50 00:03:01,160 --> 00:03:04,160 Speaker 1: But I really really got interested in technology when I 51 00:03:04,200 --> 00:03:07,960 Speaker 1: started university, when I was pursuing my engineering degree. I 52 00:03:08,040 --> 00:03:10,840 Speaker 1: was just amazed how technology could be used. At that 53 00:03:10,919 --> 00:03:14,880 Speaker 1: time was just computing where you use programming to build 54 00:03:15,520 --> 00:03:19,720 Speaker 1: modeling in cat camp to look at engineering design. I 55 00:03:19,919 --> 00:03:22,320 Speaker 1: was also interested in terms of how technology was being 56 00:03:22,400 --> 00:03:25,560 Speaker 1: used to connect with one another. Um. I don't know 57 00:03:25,560 --> 00:03:27,960 Speaker 1: whether you remember those days where we have internet relate 58 00:03:28,080 --> 00:03:30,640 Speaker 1: chats and that's where how we kind of connect with 59 00:03:30,680 --> 00:03:33,959 Speaker 1: one another on using a green screen by the way, 60 00:03:34,000 --> 00:03:37,080 Speaker 1: But I think my real love for technology really really 61 00:03:37,120 --> 00:03:41,680 Speaker 1: deepen when I joined IBM after graduation systems engineer and 62 00:03:41,800 --> 00:03:45,800 Speaker 1: working with customers in terms of looking at technology and 63 00:03:45,840 --> 00:03:48,360 Speaker 1: solving problems, and that's where I think, Wow, this is 64 00:03:48,400 --> 00:03:51,440 Speaker 1: the space that I really want to be in. That's great. 65 00:03:51,440 --> 00:03:53,840 Speaker 1: I mean you already won my heart with Carmen San Diego. 66 00:03:54,120 --> 00:03:56,800 Speaker 1: I was a big fan of Carmen San Diego as well. 67 00:03:57,160 --> 00:04:00,720 Speaker 1: On top of that, I also remember the I R. S. E. Days. 68 00:04:00,760 --> 00:04:05,240 Speaker 1: So you get into engineering, Uh, what were some of 69 00:04:05,240 --> 00:04:07,680 Speaker 1: the things about engineering that really appealed to you? I 70 00:04:07,680 --> 00:04:10,680 Speaker 1: mean most engineers I know kind of view the world 71 00:04:10,760 --> 00:04:14,000 Speaker 1: as a series of challenges or sometimes even problems to 72 00:04:14,120 --> 00:04:17,919 Speaker 1: solve and finding elegant ways to go about that. Was 73 00:04:17,960 --> 00:04:20,400 Speaker 1: that sort of your experience that led you through your 74 00:04:20,520 --> 00:04:24,760 Speaker 1: university and into IBM. Yeah? Absolutely, you know. I love math, 75 00:04:24,839 --> 00:04:28,760 Speaker 1: I love science, but I also love how math and 76 00:04:28,760 --> 00:04:31,880 Speaker 1: science could be applied to solve problems. So I chose 77 00:04:31,960 --> 00:04:36,360 Speaker 1: to solve problem, create solutions and make something useful that 78 00:04:36,400 --> 00:04:39,039 Speaker 1: people can use. And if you look at kind of 79 00:04:39,279 --> 00:04:42,800 Speaker 1: where I'm typically the person at home to assemble um 80 00:04:42,839 --> 00:04:45,720 Speaker 1: and care finiture if it's there, I'm the first one 81 00:04:45,760 --> 00:04:48,599 Speaker 1: to want to make something out of something. So it's 82 00:04:48,800 --> 00:04:50,400 Speaker 1: it's really kind of what got me started. How do 83 00:04:50,400 --> 00:04:53,920 Speaker 1: I apply what I learned in terms of creating solutions? 84 00:04:53,920 --> 00:04:58,159 Speaker 1: Creating products for the people around me. And I think 85 00:04:58,160 --> 00:05:01,600 Speaker 1: my formal exposure to chnology really started in the university, 86 00:05:01,600 --> 00:05:05,560 Speaker 1: as I shared, and I became really really immerged um 87 00:05:05,640 --> 00:05:10,080 Speaker 1: in technology in my professional career, namely with IBM and 88 00:05:10,120 --> 00:05:14,280 Speaker 1: subsequently with with Cargill. And it was really those experiences 89 00:05:14,320 --> 00:05:17,000 Speaker 1: that I had and as you said, of using technology 90 00:05:17,080 --> 00:05:21,760 Speaker 1: as the platform and the perfect avenue for me to 91 00:05:21,800 --> 00:05:26,080 Speaker 1: develop solutions and bring innovative capabilities to life. Can you 92 00:05:26,120 --> 00:05:28,320 Speaker 1: tell me a bit about your career path and what 93 00:05:28,480 --> 00:05:32,719 Speaker 1: brought you to Johnson and Johnson. Yeah. After spending about 94 00:05:32,880 --> 00:05:35,520 Speaker 1: a few years and IBM as a systems engineer, I 95 00:05:35,680 --> 00:05:39,320 Speaker 1: joined the global food and Agricultural company Cargil and Cargo 96 00:05:39,360 --> 00:05:42,200 Speaker 1: at that time was growing in Asia Pacific and I 97 00:05:42,240 --> 00:05:45,680 Speaker 1: had the wonderful opportunity of working with a small team 98 00:05:45,720 --> 00:05:48,560 Speaker 1: at that time in Asia Pacific to establish all the 99 00:05:48,600 --> 00:05:53,159 Speaker 1: way from infrastructure, building applications as they grow their footprint 100 00:05:53,440 --> 00:05:56,720 Speaker 1: in the region. And I had just a wonderful time 101 00:05:56,760 --> 00:05:59,760 Speaker 1: doing different roles in Cargo over my twenty years, and 102 00:06:00,000 --> 00:06:02,960 Speaker 1: pbsequently became the Global Group c i O for the 103 00:06:03,040 --> 00:06:07,919 Speaker 1: agricultural trading and processing enterprise, and in those roles that 104 00:06:08,040 --> 00:06:10,320 Speaker 1: I have. I had the opportunity to just work with 105 00:06:10,400 --> 00:06:14,400 Speaker 1: business to develop business and i T strategies, very importantly 106 00:06:14,440 --> 00:06:18,200 Speaker 1: implementing technology capabilities for the business as they grow in 107 00:06:18,240 --> 00:06:22,000 Speaker 1: the region, but also subsequently globally in my global global role. 108 00:06:22,800 --> 00:06:25,560 Speaker 1: And after spending about twenty years with Cargill, I joined 109 00:06:25,600 --> 00:06:29,240 Speaker 1: Johnson Johnson in two sixteen as the repeat for I 110 00:06:29,360 --> 00:06:32,640 Speaker 1: T in the pharmaceutical sector in Asia Pacific. And what 111 00:06:32,760 --> 00:06:35,320 Speaker 1: really attracted me to Jane J is the credle, the 112 00:06:35,440 --> 00:06:37,920 Speaker 1: impact I can make in the healthcare space and the 113 00:06:37,960 --> 00:06:41,520 Speaker 1: wonderful people I've met through the process. And this subsequently 114 00:06:41,520 --> 00:06:43,520 Speaker 1: then lead me to my current role as the Chief 115 00:06:43,520 --> 00:06:48,200 Speaker 1: Technology Officer for Johnson Johnson, leading Jane J's Technology Services organization, 116 00:06:48,720 --> 00:06:51,640 Speaker 1: where my team and I are now responsible for defining 117 00:06:51,760 --> 00:06:56,599 Speaker 1: and implementing Jane J's holistic technology strategy across the different sectors, 118 00:06:56,960 --> 00:06:59,599 Speaker 1: and we have a mission, together with our business technology teams, 119 00:06:59,640 --> 00:07:04,000 Speaker 1: to make technology decisions that impact both are changing employees, 120 00:07:04,040 --> 00:07:07,320 Speaker 1: but as well as customers and other stakeholders that we serve. 121 00:07:08,000 --> 00:07:10,880 Speaker 1: And I imagine that there are some really interesting challenges 122 00:07:10,920 --> 00:07:13,440 Speaker 1: that come with that as well. I think about often 123 00:07:13,440 --> 00:07:15,400 Speaker 1: the c T O S I speak with. You know, 124 00:07:15,480 --> 00:07:19,800 Speaker 1: they are people who have incredible depth of knowledge about 125 00:07:19,960 --> 00:07:25,000 Speaker 1: technology and how technology can potentially support various business initiatives. 126 00:07:25,360 --> 00:07:29,400 Speaker 1: They are good communicators. They know how to get buy 127 00:07:29,440 --> 00:07:32,880 Speaker 1: in from different UH stakeholders in order to be able 128 00:07:32,920 --> 00:07:38,440 Speaker 1: to initiate a solution. But you're also in a field 129 00:07:38,720 --> 00:07:43,240 Speaker 1: that has its own incredibly deep knowledge base, that of 130 00:07:43,320 --> 00:07:48,280 Speaker 1: the medical industry and the pharmaceutical industry. I suspect that 131 00:07:48,280 --> 00:07:53,280 Speaker 1: that requires a true finesse with communications so that you 132 00:07:53,320 --> 00:07:59,280 Speaker 1: can make certain that the solutions you provide are effectively 133 00:07:59,520 --> 00:08:03,160 Speaker 1: at a to the overall mission of the company and 134 00:08:03,240 --> 00:08:06,120 Speaker 1: not just you know, throwing technology at something just to 135 00:08:06,200 --> 00:08:08,960 Speaker 1: make just to throw tech at it. So, so what 136 00:08:09,040 --> 00:08:12,360 Speaker 1: has that been like in order to really refine your 137 00:08:12,400 --> 00:08:16,120 Speaker 1: approach and to align it with the mission of Johnson 138 00:08:16,120 --> 00:08:18,960 Speaker 1: and Johnson Jang, as you know, as the largest and 139 00:08:19,000 --> 00:08:23,600 Speaker 1: probably the most comprehensive healthcare company in the world, and 140 00:08:23,840 --> 00:08:26,440 Speaker 1: JANG has reimagined health and well being for more than 141 00:08:26,480 --> 00:08:29,720 Speaker 1: a hundred and thirty years. As we serve our patients, 142 00:08:30,040 --> 00:08:33,480 Speaker 1: doctors or nurses, mothers and fathers and all others we 143 00:08:33,600 --> 00:08:36,559 Speaker 1: use our products and services, and you think about where 144 00:08:36,640 --> 00:08:39,880 Speaker 1: JANG is today, we continue to innovate everything from skincare 145 00:08:39,960 --> 00:08:43,000 Speaker 1: to cancer treatments, to medical devices and the use of 146 00:08:43,000 --> 00:08:46,760 Speaker 1: technology of the times to really advance held around the world. 147 00:08:47,480 --> 00:08:50,160 Speaker 1: So it's some one of the key things around being 148 00:08:50,160 --> 00:08:53,480 Speaker 1: the CTO for gen G is to ensure that we 149 00:08:53,559 --> 00:08:58,559 Speaker 1: have a very very solid, resilient and scalable, end secure 150 00:08:58,600 --> 00:09:03,600 Speaker 1: digital foundation and this is the foundational core that provides 151 00:09:03,679 --> 00:09:06,680 Speaker 1: to meet the diverse meets of our business for today 152 00:09:06,679 --> 00:09:08,439 Speaker 1: and also to your point, we have to think about 153 00:09:08,880 --> 00:09:12,720 Speaker 1: the future as well, and also how does it help 154 00:09:12,760 --> 00:09:16,120 Speaker 1: us solve really really complex problems in healthcare today to 155 00:09:16,240 --> 00:09:20,120 Speaker 1: the use of applications and data science for example. So 156 00:09:20,160 --> 00:09:22,120 Speaker 1: I think this is something that we continue to live 157 00:09:22,160 --> 00:09:25,079 Speaker 1: in on a daily basis. It's kind of mind boggling 158 00:09:25,120 --> 00:09:27,000 Speaker 1: to me because I sort of have a grasp on 159 00:09:27,440 --> 00:09:29,600 Speaker 1: the technology side of things, But then I started thinking 160 00:09:29,679 --> 00:09:34,480 Speaker 1: about how do you maintain a level of service where 161 00:09:35,000 --> 00:09:38,720 Speaker 1: you are allowing the other UH divisions within J and 162 00:09:38,760 --> 00:09:41,000 Speaker 1: J to do what they need to do. And when 163 00:09:41,080 --> 00:09:45,160 Speaker 1: you start getting into those levels of incredible expertise, you 164 00:09:45,240 --> 00:09:48,079 Speaker 1: just see how complicated it gets. You have to really 165 00:09:48,120 --> 00:09:51,480 Speaker 1: specialized so to be able to provide that sort of 166 00:09:51,520 --> 00:09:55,840 Speaker 1: support to incredibly specialized fields. You know, we're talking about 167 00:09:55,840 --> 00:10:00,680 Speaker 1: things like like drug discovery is incredibly complex, uh and 168 00:10:00,679 --> 00:10:04,760 Speaker 1: and relies on some phenomenal technology. That's the sort of 169 00:10:04,760 --> 00:10:08,560 Speaker 1: stuff that just blows my socks off. If if I'm 170 00:10:08,600 --> 00:10:14,640 Speaker 1: just being honest, I was looking forward to hearing about 171 00:10:14,720 --> 00:10:18,040 Speaker 1: Rowena's role as well as which technologies are critical to 172 00:10:18,160 --> 00:10:21,600 Speaker 1: Johnson and Johnson's business. Let's say that you're at a 173 00:10:21,640 --> 00:10:23,520 Speaker 1: casual setting and they say, so, what do you do 174 00:10:23,640 --> 00:10:26,280 Speaker 1: for a living? How do you describe that in sort 175 00:10:26,320 --> 00:10:28,760 Speaker 1: of plain language, so people kind of get a grasp 176 00:10:28,800 --> 00:10:31,240 Speaker 1: of what it is you do in a simple way. 177 00:10:31,280 --> 00:10:34,959 Speaker 1: I help business solve business problems using technology as a foundation. 178 00:10:35,760 --> 00:10:37,839 Speaker 1: And I would see that Overwatten a part of a 179 00:10:38,520 --> 00:10:43,160 Speaker 1: wonderful team that really explore and delivers novative technology that 180 00:10:43,160 --> 00:10:48,000 Speaker 1: directly enables Johnson Johnson's growth, agility, and also success as 181 00:10:48,040 --> 00:10:52,120 Speaker 1: a company. See, this is what I love about the 182 00:10:52,120 --> 00:10:54,440 Speaker 1: Restless Ones is I get to speak with people who 183 00:10:54,600 --> 00:10:59,400 Speaker 1: are problem solvers. They're passionate about what they do, and 184 00:10:59,559 --> 00:11:02,400 Speaker 1: so for frequently the things that they do are you 185 00:11:02,440 --> 00:11:05,200 Speaker 1: can see the positive impact that they can have on 186 00:11:05,240 --> 00:11:07,679 Speaker 1: the world around us. I mean you you can't get 187 00:11:07,720 --> 00:11:11,679 Speaker 1: more apparent than the health care industry, I would say, 188 00:11:11,760 --> 00:11:16,080 Speaker 1: like the actual outcomes of that work. This is a 189 00:11:16,120 --> 00:11:19,640 Speaker 1: great opportunity for us to segue into leadership and the 190 00:11:19,679 --> 00:11:24,160 Speaker 1: technologies that you are working with and relying upon. So 191 00:11:24,280 --> 00:11:26,960 Speaker 1: what are some of what you would call mission critical 192 00:11:27,000 --> 00:11:31,199 Speaker 1: technologies the things that underlie what you do over at 193 00:11:31,280 --> 00:11:35,360 Speaker 1: Johnson and Johnson. That's a lot within gen G and 194 00:11:35,600 --> 00:11:36,959 Speaker 1: as I kind of shop with you in terms of 195 00:11:37,040 --> 00:11:40,240 Speaker 1: kind of the mission of gen G and how diverse 196 00:11:40,280 --> 00:11:44,680 Speaker 1: our set of business is. Building that foundational capabilities around 197 00:11:44,720 --> 00:11:48,400 Speaker 1: having the solid, resilient and scalable and very secure digital 198 00:11:48,480 --> 00:11:52,320 Speaker 1: core is really foundational to us in terms of providing 199 00:11:52,360 --> 00:11:55,760 Speaker 1: that mission critical technology base. And one of the things 200 00:11:55,840 --> 00:11:59,760 Speaker 1: around that space is a cloud and hosting environment and 201 00:12:00,000 --> 00:12:02,640 Speaker 1: our network. These are the two fundamental errors that I 202 00:12:02,679 --> 00:12:05,120 Speaker 1: would say we need to have a very strong commitment 203 00:12:05,240 --> 00:12:08,520 Speaker 1: and to continue to deliver and to modernize and to 204 00:12:08,600 --> 00:12:11,800 Speaker 1: invest in in these two areas. So in the cloud 205 00:12:11,840 --> 00:12:15,959 Speaker 1: and hosting space, we have a hybrid and multi cloud 206 00:12:16,000 --> 00:12:20,600 Speaker 1: strategy where we are looking at enabling mission critical applications 207 00:12:20,640 --> 00:12:23,719 Speaker 1: such as our r p s or manufacturing facilities or 208 00:12:23,800 --> 00:12:28,160 Speaker 1: lab systems and to help advanced technology and analytic capabilities 209 00:12:28,200 --> 00:12:31,520 Speaker 1: as well and increasing the agility and improve our overall 210 00:12:31,600 --> 00:12:36,280 Speaker 1: competitiveness through speed to market. And given the complexity of 211 00:12:36,320 --> 00:12:38,800 Speaker 1: our network environment today and the work that we do, 212 00:12:39,640 --> 00:12:42,520 Speaker 1: we are right now focusing on leveraging software, define why 213 00:12:42,559 --> 00:12:47,240 Speaker 1: area networks and automation to improve our ability to drive reliability, 214 00:12:47,320 --> 00:12:52,079 Speaker 1: resiliency and security. So we are putting very strong emphasis 215 00:12:52,160 --> 00:12:57,040 Speaker 1: also on using analytics to keep changes assets secure by 216 00:12:57,040 --> 00:13:02,880 Speaker 1: predicting threats, preventing data links and also quantifying all cyberries. 217 00:13:03,200 --> 00:13:06,040 Speaker 1: So these foundations we are really really critical to enable 218 00:13:06,080 --> 00:13:09,760 Speaker 1: our technology ecosystem, which include other critical areas as well, 219 00:13:10,280 --> 00:13:14,439 Speaker 1: such as a manufacturing systems, all logistics systems, safety regulatory 220 00:13:14,480 --> 00:13:18,800 Speaker 1: systems amongst others. And the integrated environment is really crucial 221 00:13:18,840 --> 00:13:21,120 Speaker 1: to ensure that we are able to continue to deliver 222 00:13:21,720 --> 00:13:31,480 Speaker 1: live saving medicines to OP patients all times at T Mobile. 223 00:13:31,480 --> 00:13:35,080 Speaker 1: For business, unconventional thinking means we see things differently, so 224 00:13:35,160 --> 00:13:38,080 Speaker 1: you can focus on what matters most. Where some see 225 00:13:38,080 --> 00:13:41,439 Speaker 1: another small town, we see businesses in need of connectivity. 226 00:13:41,600 --> 00:13:45,120 Speaker 1: So we built the largest five G network to cover cities, towns, 227 00:13:45,240 --> 00:13:48,120 Speaker 1: and the most interstate miles in between. Where some see 228 00:13:48,120 --> 00:13:50,560 Speaker 1: a caller in a queue, we see an opportunity for 229 00:13:50,600 --> 00:13:54,800 Speaker 1: our experts to provide solutions without transfers. Where some see 230 00:13:54,840 --> 00:13:58,640 Speaker 1: another virtual meeting, we see five G enabling wireless real 231 00:13:58,679 --> 00:14:02,679 Speaker 1: time translations almost anywhere you do business. Our unique approach 232 00:14:02,720 --> 00:14:06,720 Speaker 1: built America's largest, fastest five G network and also delivers 233 00:14:06,760 --> 00:14:10,319 Speaker 1: exceptional customer support and five G included in every plan, 234 00:14:10,640 --> 00:14:14,320 Speaker 1: so you get it all without trade offs. Unconventional thinking 235 00:14:14,440 --> 00:14:18,319 Speaker 1: is better for business. T Mobile for Business fastest five 236 00:14:18,400 --> 00:14:21,200 Speaker 1: G based on average overall combined five G speeds according 237 00:14:21,240 --> 00:14:24,680 Speaker 1: to Open Signal Awards USA five G User Experience Report October. 238 00:14:25,680 --> 00:14:27,880 Speaker 1: See five D device coverage and access details at to 239 00:14:27,960 --> 00:14:38,080 Speaker 1: mobile dot com. I'm curious when you came in at 240 00:14:38,120 --> 00:14:40,720 Speaker 1: two thousand and sixteen. I mean, to your point, you 241 00:14:40,760 --> 00:14:43,160 Speaker 1: mentioned that Johnson and Johnson is a very old company. 242 00:14:43,640 --> 00:14:48,360 Speaker 1: Were there or are their legacy systems that are are 243 00:14:48,400 --> 00:14:50,240 Speaker 1: things that you have to take into account while you're 244 00:14:50,280 --> 00:14:55,080 Speaker 1: also trying to incorporate more cutting edge solutions. I mean, 245 00:14:55,120 --> 00:14:58,440 Speaker 1: as with any large company like US, a company continues 246 00:14:58,520 --> 00:15:01,160 Speaker 1: to acquiet company ease and you kind of bring all 247 00:15:01,240 --> 00:15:04,240 Speaker 1: this together. There are legacy environments we have to modernize. 248 00:15:04,280 --> 00:15:08,360 Speaker 1: There are also things that we have to shift right 249 00:15:08,360 --> 00:15:10,440 Speaker 1: as we move into the cloud space. How do we 250 00:15:10,480 --> 00:15:14,640 Speaker 1: modernize someone the applications to be able to live into 251 00:15:14,720 --> 00:15:18,680 Speaker 1: the world of cloud that we can leverage the capabilities 252 00:15:18,680 --> 00:15:21,120 Speaker 1: and the innovation. So yes, we see UM quite a 253 00:15:21,120 --> 00:15:24,120 Speaker 1: bit of that. UM and as a company were also 254 00:15:24,800 --> 00:15:27,280 Speaker 1: having a very purposeful plan as we think about how 255 00:15:27,320 --> 00:15:30,520 Speaker 1: do we enable us to be agile, enable us to 256 00:15:30,520 --> 00:15:33,600 Speaker 1: be able to serve our customers and stakeholders and patients. 257 00:15:33,640 --> 00:15:35,560 Speaker 1: That's one of those things that I think people who 258 00:15:35,640 --> 00:15:39,320 Speaker 1: might maybe their experience is largely in startups, they might 259 00:15:39,360 --> 00:15:44,040 Speaker 1: not have a full appreciation for taking systems that have 260 00:15:44,120 --> 00:15:47,520 Speaker 1: been around for a long time, keeping them consistent, keeping 261 00:15:47,560 --> 00:15:51,280 Speaker 1: them accessible, making sure that there's no interruption of service, 262 00:15:51,560 --> 00:15:55,680 Speaker 1: while also trying to port them over into more modern systems. 263 00:15:55,720 --> 00:15:59,440 Speaker 1: That's a non trivial task, especially at scale. Well, how 264 00:15:59,440 --> 00:16:02,600 Speaker 1: did the pen make change things that Johnson and Johnson 265 00:16:02,640 --> 00:16:06,200 Speaker 1: clearly that has been an event that has been a 266 00:16:06,240 --> 00:16:09,680 Speaker 1: critical shift for a lot of companies. What technology has 267 00:16:09,680 --> 00:16:12,600 Speaker 1: really became crucial for you in order to be able 268 00:16:12,640 --> 00:16:18,080 Speaker 1: to again maintain that consistency in a world that seemed 269 00:16:18,120 --> 00:16:23,560 Speaker 1: to change overnight. The pandemic has definitely accelerated the adoption 270 00:16:24,400 --> 00:16:28,560 Speaker 1: of digital technologies and a strong push towards a digital workforce. 271 00:16:28,760 --> 00:16:32,240 Speaker 1: A hybrid work model changes the way we get work 272 00:16:32,280 --> 00:16:36,000 Speaker 1: done and also shifted the way we engage with our 273 00:16:36,040 --> 00:16:39,680 Speaker 1: customers and key stakeholders to ensure that we continue to 274 00:16:39,720 --> 00:16:42,880 Speaker 1: effectively on our global operations and supply chain in R 275 00:16:42,920 --> 00:16:45,800 Speaker 1: and D, and to serve the billing lives that we 276 00:16:45,840 --> 00:16:49,200 Speaker 1: touch each day. To a point about you know, driving 277 00:16:49,240 --> 00:16:52,960 Speaker 1: operations at scale and with our workforce, we have to 278 00:16:53,080 --> 00:16:56,360 Speaker 1: enable glue employees to continue to deliver on our business 279 00:16:56,360 --> 00:16:58,920 Speaker 1: imperatives and at the same time we want to keep 280 00:16:59,120 --> 00:17:02,080 Speaker 1: everyone see so the shift to remote working during the 281 00:17:02,080 --> 00:17:05,760 Speaker 1: height of the pandemic accelerated the need to focus on 282 00:17:05,920 --> 00:17:10,720 Speaker 1: enabling and party employees to work anywhere, any time, and 283 00:17:10,800 --> 00:17:14,679 Speaker 1: that that requires us to develop self service platforms. In 284 00:17:14,720 --> 00:17:18,840 Speaker 1: addition to collaboration tools that we have, we also need 285 00:17:18,880 --> 00:17:22,359 Speaker 1: to create new services for employees in terms of onboarding 286 00:17:22,400 --> 00:17:25,880 Speaker 1: and training and speed up the deployment of a few 287 00:17:25,880 --> 00:17:29,000 Speaker 1: of the collaboration tools that we have within the company. 288 00:17:29,119 --> 00:17:31,920 Speaker 1: The other area would say kind of shifted the way 289 00:17:32,160 --> 00:17:34,760 Speaker 1: we work is the way we interact with our customers 290 00:17:34,760 --> 00:17:37,840 Speaker 1: and our patients and our healthcare professionals. We have to 291 00:17:37,960 --> 00:17:41,640 Speaker 1: leverage digital interaction capabilities to continue to serve our healthcare 292 00:17:41,640 --> 00:17:45,680 Speaker 1: professionals and patients around the world, and enabling digital training 293 00:17:45,920 --> 00:17:49,560 Speaker 1: on digital capabilities and increasing for example, the use of 294 00:17:49,680 --> 00:17:52,520 Speaker 1: a R and v R for our social training with physicians, 295 00:17:53,160 --> 00:17:56,280 Speaker 1: enhancing solutions that we have today to interact with patients 296 00:17:56,320 --> 00:18:00,960 Speaker 1: around the world, for example, to minimize disruption to clinical trials. 297 00:18:01,920 --> 00:18:04,400 Speaker 1: And in the consumer space, we have also seen new 298 00:18:04,400 --> 00:18:07,879 Speaker 1: approaches to consumer innovation, such as the increasing use of 299 00:18:07,880 --> 00:18:11,359 Speaker 1: digital channels to reach our customers in our consumer health 300 00:18:11,400 --> 00:18:17,119 Speaker 1: space and creating very very highly personalized digital experiences for 301 00:18:17,160 --> 00:18:21,560 Speaker 1: our customers, connecting for example, telehealth and tele medicine providers 302 00:18:21,600 --> 00:18:24,720 Speaker 1: to allergy sufferers. In one of the examples that we 303 00:18:24,840 --> 00:18:27,719 Speaker 1: have look at the back end in terms of supply 304 00:18:27,800 --> 00:18:31,840 Speaker 1: chain space. As I mentioned, changing develops and produces essential 305 00:18:31,880 --> 00:18:35,119 Speaker 1: products for our customers and patients. So it is of 306 00:18:35,240 --> 00:18:38,080 Speaker 1: utmost importance for us to continue the flow of life 307 00:18:38,080 --> 00:18:41,960 Speaker 1: saving medicines and products and also keeping our employees save 308 00:18:42,000 --> 00:18:45,600 Speaker 1: at the same time, so we had to leverage technologies 309 00:18:45,600 --> 00:18:48,439 Speaker 1: that we have existingly and also innovate the way we 310 00:18:48,480 --> 00:18:53,680 Speaker 1: work virtually, leveraging data and automation on using for example, 311 00:18:53,760 --> 00:18:58,840 Speaker 1: highly automated scenario resimilation technology to very quickly respond to 312 00:18:59,080 --> 00:19:03,520 Speaker 1: fluctuations in customer demand during the pandemic, and also to 313 00:19:03,560 --> 00:19:09,159 Speaker 1: minimize delivery disruptions using virtual connectivity such as smart glass 314 00:19:09,160 --> 00:19:13,000 Speaker 1: technology by our quality experts so that they can work remotely. 315 00:19:13,520 --> 00:19:16,119 Speaker 1: And then talking about data and the use of data science, 316 00:19:16,119 --> 00:19:18,240 Speaker 1: I've also seen an increase in the use of data 317 00:19:18,280 --> 00:19:22,120 Speaker 1: and data science capabilities during this time and they are 318 00:19:22,320 --> 00:19:25,439 Speaker 1: becoming more and more critical as we drive insights and 319 00:19:25,520 --> 00:19:29,760 Speaker 1: also outcomes. And with that, we also leverage very heavily 320 00:19:29,840 --> 00:19:33,520 Speaker 1: on our cloud capabilities to allow faster accessibility to this 321 00:19:33,840 --> 00:19:36,080 Speaker 1: vast amounts of data that we have around the world, 322 00:19:36,600 --> 00:19:41,720 Speaker 1: to accelebrate our data scientists ability to uncover unprecedented insights, 323 00:19:41,760 --> 00:19:46,919 Speaker 1: whether is it into dignostics, disease pathways, and ultimately driving 324 00:19:47,080 --> 00:19:51,119 Speaker 1: patient outcomes. And so it's just a lot of um 325 00:19:51,359 --> 00:19:54,760 Speaker 1: mission critical activities that we have within the company during 326 00:19:54,800 --> 00:19:58,040 Speaker 1: this time that we continue to drive. Automation is another one. 327 00:19:58,080 --> 00:20:01,879 Speaker 1: By looking at embracing and DO and automation and using 328 00:20:01,960 --> 00:20:05,760 Speaker 1: AI on top of automation, building and scaling capabilities in 329 00:20:05,840 --> 00:20:10,600 Speaker 1: this space and leveraging those instrums are automating our environment 330 00:20:10,760 --> 00:20:13,280 Speaker 1: because we can't physically be on site to support how 331 00:20:13,320 --> 00:20:17,000 Speaker 1: where how to use automation to manage the environment um 332 00:20:17,040 --> 00:20:22,480 Speaker 1: and to support and to minimize physical interaction on the site. Well, first, Roun, 333 00:20:22,560 --> 00:20:25,600 Speaker 1: and let me say that your description puts most science 334 00:20:25,640 --> 00:20:28,960 Speaker 1: fiction films to shame when you start thinking about the 335 00:20:29,000 --> 00:20:32,000 Speaker 1: complexity and the sophistication of some of the tools you're 336 00:20:32,000 --> 00:20:34,520 Speaker 1: talking about. I mean, when we start thinking about things 337 00:20:34,560 --> 00:20:36,840 Speaker 1: like smart glass and you're thinking about augmented reality and 338 00:20:36,920 --> 00:20:40,840 Speaker 1: virtual reality. These are technologies that a lot of people 339 00:20:40,880 --> 00:20:44,240 Speaker 1: I don't think have had direct experience with. One thing 340 00:20:44,280 --> 00:20:46,439 Speaker 1: I also wanted to mention is that a lot of 341 00:20:46,480 --> 00:20:52,000 Speaker 1: these pieces you're talking about obviously the convergence of uh 342 00:20:52,040 --> 00:20:56,480 Speaker 1: those disciplines evolving and the fact that we're reaching a 343 00:20:56,560 --> 00:21:02,000 Speaker 1: point in connectivity where persistent connectivity is possible. That's what 344 00:21:02,200 --> 00:21:05,960 Speaker 1: really makes all of this work together, right, You are 345 00:21:06,000 --> 00:21:09,520 Speaker 1: so spot on. Advancement in connectivity is probably one of 346 00:21:09,560 --> 00:21:12,080 Speaker 1: the biggest game changer in the last two decades. I 347 00:21:12,119 --> 00:21:15,240 Speaker 1: think it's really changed the way we engage what we 348 00:21:15,359 --> 00:21:18,840 Speaker 1: do and just as you said, providing integrated capabilities to 349 00:21:18,920 --> 00:21:22,240 Speaker 1: deliver solutions to problems that we don't even know we 350 00:21:22,400 --> 00:21:25,280 Speaker 1: have you know at times. So I think connectivity it 351 00:21:25,320 --> 00:21:28,600 Speaker 1: definitely served as a very critical foundation in many many 352 00:21:28,640 --> 00:21:31,560 Speaker 1: areas within Monson Johnson. To give you an example, in 353 00:21:31,600 --> 00:21:34,640 Speaker 1: the area of like drug discovery, the process takes years 354 00:21:34,680 --> 00:21:37,720 Speaker 1: because we just have vast amounts of data. That data 355 00:21:37,760 --> 00:21:41,800 Speaker 1: comes from different sources, whether they are molecular data to 356 00:21:41,880 --> 00:21:45,679 Speaker 1: genomic sequencing data, and we have to find ways to 357 00:21:45,720 --> 00:21:49,159 Speaker 1: speed up the process. So to your point, having the 358 00:21:49,280 --> 00:21:53,359 Speaker 1: connectivity besides the compute power is so crucial to support 359 00:21:53,400 --> 00:21:56,800 Speaker 1: this process, to enable us to bring data together from 360 00:21:56,840 --> 00:22:01,200 Speaker 1: anywhere around the world so that we can drive and 361 00:22:01,320 --> 00:22:04,119 Speaker 1: support the work that we do. Now we're getting to 362 00:22:04,160 --> 00:22:10,080 Speaker 1: a point where we have fiber level connectivity wirelessly, and 363 00:22:10,160 --> 00:22:14,639 Speaker 1: it opens up the opportunity for all new applications where 364 00:22:14,720 --> 00:22:17,880 Speaker 1: not only are we processing data very quickly, not only 365 00:22:17,920 --> 00:22:21,119 Speaker 1: are we gathering data from various sources like Internet of 366 00:22:21,160 --> 00:22:25,920 Speaker 1: things devices, we can also make use of that information 367 00:22:26,000 --> 00:22:28,280 Speaker 1: faster than ever. And that to me is the most 368 00:22:28,280 --> 00:22:31,679 Speaker 1: exciting part is that I start to see this ecosystem 369 00:22:31,680 --> 00:22:37,800 Speaker 1: where there are no obvious unsolvable bottlenecks, at least to 370 00:22:38,320 --> 00:22:41,480 Speaker 1: our current capabilities, and that to me means that we're 371 00:22:41,520 --> 00:22:45,359 Speaker 1: going to see an explosion in innovation and applications moving 372 00:22:45,400 --> 00:22:48,159 Speaker 1: forward in the next few years. Right now, with the 373 00:22:48,160 --> 00:22:51,720 Speaker 1: availability of compute power, you can see that coming. Whether 374 00:22:51,760 --> 00:22:54,480 Speaker 1: it's a sitting on the cloud on premise, you can 375 00:22:55,400 --> 00:22:58,360 Speaker 1: get the compute power you need to drive a lot 376 00:22:58,400 --> 00:23:01,560 Speaker 1: of the machine learning work that we do today. I 377 00:23:01,600 --> 00:23:04,440 Speaker 1: think the key to the use of technology it's it's 378 00:23:04,440 --> 00:23:07,720 Speaker 1: not just about the technology itself, but also right what 379 00:23:07,920 --> 00:23:10,679 Speaker 1: business problems are we trying to solve. A Similarly, in 380 00:23:10,680 --> 00:23:12,480 Speaker 1: the drug discovery, we need to make sure that we 381 00:23:12,600 --> 00:23:16,199 Speaker 1: have the scientists to ask the right questions and therefore 382 00:23:16,240 --> 00:23:18,760 Speaker 1: them we drive the right algorithms to be able to 383 00:23:18,800 --> 00:23:21,640 Speaker 1: test the hypothesis that we have. And so it's really 384 00:23:21,680 --> 00:23:26,000 Speaker 1: important that we combine signs with technology to drive exactly 385 00:23:26,000 --> 00:23:29,080 Speaker 1: what you just said, to create the ability for us 386 00:23:29,200 --> 00:23:32,879 Speaker 1: to whether use drugs discovery to create life saving medicines 387 00:23:33,080 --> 00:23:37,760 Speaker 1: or use simulation to drive and provide better visibility in 388 00:23:37,880 --> 00:23:42,399 Speaker 1: terms of our inventory and therefore minimize supply delays. I 389 00:23:42,480 --> 00:23:44,879 Speaker 1: get caught up in the technology side of things, so 390 00:23:44,920 --> 00:23:48,680 Speaker 1: I can very easily get over enthusiastic about the tech solution, 391 00:23:48,880 --> 00:23:50,840 Speaker 1: which is why I'm thankful that we have leaders like 392 00:23:50,920 --> 00:23:54,080 Speaker 1: you who take a little more time to think this 393 00:23:54,160 --> 00:23:57,840 Speaker 1: through critically before they try to implement something that's not 394 00:23:58,200 --> 00:24:01,679 Speaker 1: really a solution. Um So, so, what are some of 395 00:24:01,720 --> 00:24:04,399 Speaker 1: the typical hurdles that you face when you're trying to 396 00:24:04,520 --> 00:24:08,840 Speaker 1: roll out new technologies we think about technology. Technology cannot 397 00:24:08,840 --> 00:24:11,439 Speaker 1: be used in isolation. It must be used to solve 398 00:24:11,960 --> 00:24:15,400 Speaker 1: key business problems, and very often the question I ask 399 00:24:15,520 --> 00:24:18,320 Speaker 1: is what problems are we trying to solve and what 400 00:24:18,440 --> 00:24:21,719 Speaker 1: can we do to enable to use technology to enable 401 00:24:21,800 --> 00:24:25,520 Speaker 1: business outcomes, our patient outcomes, or as a competitive advantage 402 00:24:25,560 --> 00:24:28,400 Speaker 1: for the company. And to your question around the hurdles, 403 00:24:28,440 --> 00:24:31,440 Speaker 1: I see technology as a part of a larger ecosystem 404 00:24:31,520 --> 00:24:34,879 Speaker 1: where you need to integrate process and the people into 405 00:24:34,960 --> 00:24:39,240 Speaker 1: the equation, and one of the hurdles we often have 406 00:24:39,400 --> 00:24:42,399 Speaker 1: to pross before we roll out new technologies understanding the 407 00:24:42,440 --> 00:24:45,679 Speaker 1: problem we're trying to solve, Understanding how technology can enable 408 00:24:45,760 --> 00:24:49,800 Speaker 1: and support the business in their strategy, and very importantly, 409 00:24:49,840 --> 00:24:52,560 Speaker 1: to have that open and transparent conversations with the business 410 00:24:52,720 --> 00:24:55,000 Speaker 1: not just in terms of what technology can do, but 411 00:24:55,160 --> 00:24:58,520 Speaker 1: also to understand the capacity of the organization for the 412 00:24:58,600 --> 00:25:02,040 Speaker 1: change that it will bring. Because, as with most of 413 00:25:02,280 --> 00:25:05,679 Speaker 1: the digital transformation that I've seen, a percentage of that 414 00:25:05,760 --> 00:25:09,399 Speaker 1: is technology, but a large percentage of that of transformation 415 00:25:09,480 --> 00:25:12,439 Speaker 1: is in the leadership and the change management behind it. 416 00:25:12,680 --> 00:25:16,760 Speaker 1: So getting teams to adopt new ways of working, whether 417 00:25:16,880 --> 00:25:20,119 Speaker 1: is it through new operating models, changing the way they work, 418 00:25:20,720 --> 00:25:24,440 Speaker 1: adopting new processes as a big part of adopting new 419 00:25:24,440 --> 00:25:28,840 Speaker 1: technologies as critical. So I think it's really important also 420 00:25:28,920 --> 00:25:32,040 Speaker 1: for us when we think about rolling new technology to 421 00:25:32,119 --> 00:25:36,520 Speaker 1: cross that hurdle to just create small first launches. We've 422 00:25:36,640 --> 00:25:40,399 Speaker 1: early adopters and users that have a strong interest in 423 00:25:40,480 --> 00:25:43,920 Speaker 1: seeing how this new technology and the new processes can 424 00:25:44,000 --> 00:25:47,439 Speaker 1: improve the way we work and improve business outcomes. And 425 00:25:47,480 --> 00:25:51,399 Speaker 1: the other piece I feel is around the fuzziness about hey, 426 00:25:51,440 --> 00:25:54,480 Speaker 1: what technology can bring. So I think be very vigilant 427 00:25:54,520 --> 00:25:57,320 Speaker 1: in terms of having the right measurement so that you 428 00:25:57,359 --> 00:26:01,560 Speaker 1: can demonstrate successes and then I think the learnings before 429 00:26:01,800 --> 00:26:05,160 Speaker 1: you scale one of the other hurdles. I'm sure most 430 00:26:05,160 --> 00:26:08,639 Speaker 1: of the other companies would agree with me, it's around 431 00:26:08,640 --> 00:26:11,480 Speaker 1: the area of having the right talented skills and so 432 00:26:11,520 --> 00:26:13,640 Speaker 1: this is a space that we constantly have to think 433 00:26:13,680 --> 00:26:15,880 Speaker 1: about in terms of how do we have the right 434 00:26:15,920 --> 00:26:18,879 Speaker 1: skill sets, the right talent, and the right partners in 435 00:26:18,920 --> 00:26:22,000 Speaker 1: place so that we can ensure that the critical capabilities 436 00:26:22,320 --> 00:26:25,800 Speaker 1: and resources are there to support our mission. When it 437 00:26:25,840 --> 00:26:29,080 Speaker 1: comes to emerging and cutting edge tech, we often see 438 00:26:29,119 --> 00:26:32,359 Speaker 1: a lot of development in the medical industry. In particular, 439 00:26:32,640 --> 00:26:35,480 Speaker 1: I wanted to pick Rowena's brain about the technologies that 440 00:26:35,520 --> 00:26:39,520 Speaker 1: will power the future of Johnson and Johnson's business. We 441 00:26:39,640 --> 00:26:42,600 Speaker 1: talked a bit about connectivities and things like the Internet 442 00:26:42,600 --> 00:26:44,560 Speaker 1: of Things, you know, data collection. Can you go into 443 00:26:44,600 --> 00:26:47,359 Speaker 1: a little more detail about how the Internet of Things 444 00:26:47,520 --> 00:26:51,520 Speaker 1: and the expansion of five G connectivity are supporting Johnson 445 00:26:51,520 --> 00:26:54,560 Speaker 1: and Johnson's digital health initiatives. So the Internet of Things 446 00:26:54,640 --> 00:26:57,679 Speaker 1: is definitely having a significant impact on health initiatives across 447 00:26:57,680 --> 00:27:01,320 Speaker 1: a number of different areas. On we have seen, particularly 448 00:27:01,320 --> 00:27:04,840 Speaker 1: in the manufacturing of pharmaceutical and consumer health products. We're 449 00:27:04,880 --> 00:27:08,240 Speaker 1: seeing that product lines are increasingly becoming network connected and 450 00:27:08,359 --> 00:27:12,840 Speaker 1: numerous points and therefore allowing operators to monitor every expect 451 00:27:12,920 --> 00:27:16,159 Speaker 1: of the manufacturing process to ensure that we have the 452 00:27:16,280 --> 00:27:20,600 Speaker 1: quality and the throughput, and in the clinical trial space 453 00:27:20,920 --> 00:27:24,440 Speaker 1: with patient monitoring, wearables and other devices are being given 454 00:27:24,440 --> 00:27:27,560 Speaker 1: to patients which allow for in home testing to be 455 00:27:27,640 --> 00:27:32,440 Speaker 1: performed with data being collected by the device and uploaded 456 00:27:33,000 --> 00:27:35,359 Speaker 1: by a Wi FI or five G or four G 457 00:27:35,520 --> 00:27:38,280 Speaker 1: so that the clinical trial system or to a patient 458 00:27:38,520 --> 00:27:42,000 Speaker 1: podle which is then accessible by a nurse or physician. 459 00:27:42,720 --> 00:27:45,720 Speaker 1: Fi G definitely holds a lot of promise in terms 460 00:27:45,720 --> 00:27:50,200 Speaker 1: of what it can provide, and particularly within here in GG, 461 00:27:50,320 --> 00:27:53,359 Speaker 1: we have seen use cases where the need for a 462 00:27:53,359 --> 00:27:58,119 Speaker 1: low latency, higher bandwidth and a more deterministic network solution 463 00:27:58,640 --> 00:28:01,600 Speaker 1: with guaranteed latencies that we requirement and therefore allows for 464 00:28:02,160 --> 00:28:05,840 Speaker 1: speed of delivery and first access to use cases like 465 00:28:05,880 --> 00:28:09,600 Speaker 1: we just we talked about with internal things in robotic surgery, 466 00:28:09,680 --> 00:28:14,119 Speaker 1: in autonomous vehicles for example. So what we are doing 467 00:28:14,200 --> 00:28:17,480 Speaker 1: within five G as part of our next generation network, 468 00:28:17,560 --> 00:28:21,119 Speaker 1: we are looking at developing a five G architecture and 469 00:28:21,160 --> 00:28:24,160 Speaker 1: the design so that we can leverage in a few 470 00:28:24,160 --> 00:28:27,320 Speaker 1: business use case. We're looking at how do we use 471 00:28:27,400 --> 00:28:30,919 Speaker 1: that right to help increase the ability for us to 472 00:28:31,000 --> 00:28:35,040 Speaker 1: connect all these IoT devices. We spoke about our equipments 473 00:28:35,080 --> 00:28:38,600 Speaker 1: and data linking them back to our production systems with 474 00:28:38,720 --> 00:28:42,480 Speaker 1: our digital production platforms. We are also looking at how 475 00:28:42,520 --> 00:28:47,800 Speaker 1: do we improve operational reliability and accuracy with integrated autonomous 476 00:28:47,800 --> 00:28:52,120 Speaker 1: and movable components such as autonomous intelligent vehicles and for 477 00:28:52,240 --> 00:28:56,160 Speaker 1: track and trades within our operations facility. So the industry 478 00:28:56,160 --> 00:28:58,240 Speaker 1: is still evolving I think in the five G space, 479 00:28:58,400 --> 00:29:02,840 Speaker 1: and we're definitely looking at partnering without business with partners 480 00:29:03,360 --> 00:29:06,880 Speaker 1: externally also to build minimal viable products in those areas 481 00:29:06,880 --> 00:29:09,360 Speaker 1: that I spoke about, So something for us to watch 482 00:29:09,360 --> 00:29:12,160 Speaker 1: in terms of what it can bring. The realities of 483 00:29:12,160 --> 00:29:15,920 Speaker 1: the pandemic have in many ways sort of opened our 484 00:29:15,920 --> 00:29:20,400 Speaker 1: eyes to the possibilities we had to adapt because the 485 00:29:20,480 --> 00:29:23,479 Speaker 1: reality was we couldn't just do things the way we 486 00:29:23,560 --> 00:29:26,320 Speaker 1: had been doing them. That's where I start to see 487 00:29:27,000 --> 00:29:30,640 Speaker 1: really exciting developments in things like how can we leverage 488 00:29:30,680 --> 00:29:33,440 Speaker 1: the fact that we we can have five G connectivity 489 00:29:33,520 --> 00:29:36,400 Speaker 1: and have a fiber level connection even if there's no 490 00:29:36,480 --> 00:29:39,520 Speaker 1: physical fiber going to that location. It's where I think 491 00:29:39,560 --> 00:29:43,200 Speaker 1: of things like tell tell the medicine tell Us surgery 492 00:29:44,280 --> 00:29:46,800 Speaker 1: things where you need that low latency. I mean, it's 493 00:29:46,800 --> 00:29:50,840 Speaker 1: absolutely critical in those kinds of applications where in the 494 00:29:50,920 --> 00:29:54,520 Speaker 1: future five G I would expect would play a pretty 495 00:29:54,560 --> 00:29:57,719 Speaker 1: critical role and would open up opportunities for people who 496 00:29:57,760 --> 00:30:00,520 Speaker 1: are in underserved populations who might not or wise have 497 00:30:00,760 --> 00:30:07,040 Speaker 1: access to a first in class you know, surgeon, they 498 00:30:07,280 --> 00:30:10,040 Speaker 1: might suddenly be able to do that because we have 499 00:30:10,080 --> 00:30:13,960 Speaker 1: these underlying technologies that power it. I find that really 500 00:30:14,440 --> 00:30:18,000 Speaker 1: an optimistic view of the future and something that I 501 00:30:18,040 --> 00:30:21,760 Speaker 1: personally find really exciting. Think about like twenty years ago, 502 00:30:22,520 --> 00:30:24,640 Speaker 1: what we could do today on the cell phone, you 503 00:30:24,680 --> 00:30:27,640 Speaker 1: could never imagine that we could do all of that. 504 00:30:27,880 --> 00:30:29,960 Speaker 1: And similarly, I think with five G, I think the 505 00:30:30,000 --> 00:30:33,239 Speaker 1: promise of what it can bring with what we just 506 00:30:33,320 --> 00:30:37,240 Speaker 1: talk about, right with low latency, high throughput, and the 507 00:30:37,280 --> 00:30:40,120 Speaker 1: ability to deliver capabilities around the world, I think it's 508 00:30:40,160 --> 00:30:42,920 Speaker 1: just amazing. Um. I think the day will come well 509 00:30:43,080 --> 00:30:45,640 Speaker 1: to your point about the site, you know, sci fi fiction, Um, 510 00:30:45,680 --> 00:30:48,960 Speaker 1: that we see some of those things that we you know, 511 00:30:49,040 --> 00:30:52,520 Speaker 1: we can only imagine would come to life. And even 512 00:30:52,680 --> 00:30:56,920 Speaker 1: the space of digital surgery, I mean that can become 513 00:30:56,920 --> 00:30:59,200 Speaker 1: a possibility in the near future with the use of 514 00:30:59,200 --> 00:31:03,560 Speaker 1: five GEN. Well, uh, how do you see tech shaping 515 00:31:03,600 --> 00:31:05,840 Speaker 1: the way we monitor health. I mean, we've we've talked 516 00:31:05,880 --> 00:31:09,960 Speaker 1: about wearables. Are we heading toward the future where we're 517 00:31:10,040 --> 00:31:13,080 Speaker 1: going to have more of these sorts of technologies that 518 00:31:13,800 --> 00:31:17,040 Speaker 1: are able to monitor health on an individual basis and 519 00:31:17,200 --> 00:31:22,960 Speaker 1: provide uh, you know, more individualized and and more immediate care. 520 00:31:23,960 --> 00:31:25,840 Speaker 1: If you think about some of the areas that we 521 00:31:25,880 --> 00:31:28,080 Speaker 1: are looking at right now in terms of just with 522 00:31:28,160 --> 00:31:31,160 Speaker 1: clinical trials, as I shared earlier on with patient monitoring, 523 00:31:31,880 --> 00:31:37,400 Speaker 1: that's the space whereby wearable technologies can definitely help support 524 00:31:37,440 --> 00:31:41,880 Speaker 1: the monitoring of the patient in terms of where they 525 00:31:41,920 --> 00:31:45,120 Speaker 1: are polinical trials that they participate in. Wearables are definitely 526 00:31:45,200 --> 00:31:48,960 Speaker 1: being adopted as a device that's given to patients to 527 00:31:49,000 --> 00:31:52,240 Speaker 1: allow for in home testing to be performed, and so 528 00:31:52,280 --> 00:31:55,040 Speaker 1: it's definitely the space that is going to continue to grow. 529 00:31:55,720 --> 00:31:59,400 Speaker 1: And with predictive AI coming into play as well, that 530 00:31:59,520 --> 00:32:03,520 Speaker 1: also as a vast implications in terms of how we 531 00:32:03,880 --> 00:32:07,480 Speaker 1: adopt this in the healthcare system and healthcare providers. And 532 00:32:07,520 --> 00:32:09,280 Speaker 1: I think one of the things that we are seeing 533 00:32:09,320 --> 00:32:13,080 Speaker 1: also is the use of AI and machine learning helping 534 00:32:13,120 --> 00:32:17,080 Speaker 1: healthcare professionals identify risk factors so that they can diagnose 535 00:32:17,520 --> 00:32:21,560 Speaker 1: diseases earlier and in a very non invasive way. And 536 00:32:21,640 --> 00:32:25,120 Speaker 1: in the surgical space, this technology is also offering people 537 00:32:25,160 --> 00:32:29,080 Speaker 1: better outcomes. For sure. We have within g j our 538 00:32:29,120 --> 00:32:32,960 Speaker 1: advanced case Management solution, and that's one technology that's using, 539 00:32:33,000 --> 00:32:38,000 Speaker 1: for example, proprietary AI algorithm to help with pre operative 540 00:32:38,040 --> 00:32:42,600 Speaker 1: planning for joint replacement procedures, and with it, our medical 541 00:32:42,600 --> 00:32:46,920 Speaker 1: device business can connect directly to hospitals electronic health records 542 00:32:46,960 --> 00:32:50,200 Speaker 1: in real time and using predictive AI, it can ensure 543 00:32:50,200 --> 00:32:52,880 Speaker 1: that the right device sizes and instrument kits are being 544 00:32:53,240 --> 00:32:56,520 Speaker 1: made available for a given procedure. And so this also 545 00:32:57,040 --> 00:32:59,840 Speaker 1: has a huge impact in terms of waste reduction, ensuring 546 00:33:00,000 --> 00:33:03,560 Speaker 1: at we have the right fitting device available for each 547 00:33:03,600 --> 00:33:08,320 Speaker 1: patient as needed. It's incredibly exciting. I love that you 548 00:33:08,320 --> 00:33:12,200 Speaker 1: know in your in your quest to solve business problems, 549 00:33:12,240 --> 00:33:15,720 Speaker 1: that also obviously has a direct impact on quality of 550 00:33:15,760 --> 00:33:19,960 Speaker 1: life for people who end So while we can look 551 00:33:20,000 --> 00:33:22,040 Speaker 1: at this from different aspects, right, we can look at 552 00:33:22,040 --> 00:33:26,160 Speaker 1: it and ways that end up saving time and resources 553 00:33:26,200 --> 00:33:29,280 Speaker 1: and money and making things more efficient on the business side, 554 00:33:29,480 --> 00:33:33,040 Speaker 1: and you see the actual impact on people's lives on 555 00:33:33,080 --> 00:33:36,360 Speaker 1: the other side, and it's a positive story overall. I mean, 556 00:33:36,400 --> 00:33:39,680 Speaker 1: the goal is to make those the best us all areas. 557 00:33:40,560 --> 00:33:43,680 Speaker 1: I wasn't about to let Rowena go without asking her 558 00:33:44,040 --> 00:33:48,680 Speaker 1: one more thing. What is some advice you would give 559 00:33:48,920 --> 00:33:53,200 Speaker 1: to future c t O s. I think companies are 560 00:33:53,200 --> 00:33:59,520 Speaker 1: shifting to become exponentially more digital and adapting to more centric, 561 00:34:00,000 --> 00:34:03,800 Speaker 1: collaborative and agile ways of working. And we're also seeing 562 00:34:03,800 --> 00:34:07,640 Speaker 1: businesses moving and shifting from a technology operations mindset to 563 00:34:07,920 --> 00:34:13,160 Speaker 1: technology innovation and where technology and business strategies are so intertwined. 564 00:34:14,000 --> 00:34:18,240 Speaker 1: And as business and their use of technology is quickly evolving, 565 00:34:18,560 --> 00:34:21,480 Speaker 1: I see the role of CTO evolving as well, including 566 00:34:21,560 --> 00:34:24,719 Speaker 1: mind you're in Johnson Johnson, I would say that my 567 00:34:24,800 --> 00:34:28,719 Speaker 1: advice for future and currency too is to not only 568 00:34:28,800 --> 00:34:31,880 Speaker 1: understand technology, but you must have a strong passion around 569 00:34:31,960 --> 00:34:36,279 Speaker 1: using technology to solve critical business challenges and never lose 570 00:34:36,320 --> 00:34:40,120 Speaker 1: sight of the business impact and the outcomes that technology 571 00:34:40,160 --> 00:34:43,480 Speaker 1: can deliver. And technology is only a part of the equation, 572 00:34:43,640 --> 00:34:46,080 Speaker 1: it was the entire ecosystems. So ensuring that we continue 573 00:34:46,080 --> 00:34:49,200 Speaker 1: to work very closely without business to manage to change 574 00:34:49,320 --> 00:34:53,279 Speaker 1: digital transformation will bring and not forgetting the people our 575 00:34:53,400 --> 00:34:56,640 Speaker 1: team is so critical in enabling all of that. So 576 00:34:57,560 --> 00:35:01,920 Speaker 1: enabling building a strong team that understands this mission and 577 00:35:02,000 --> 00:35:05,919 Speaker 1: understand how to strategically deliver technology to be the world 578 00:35:05,920 --> 00:35:10,120 Speaker 1: a better place. Um, it's definitely very important. That's very 579 00:35:10,200 --> 00:35:13,200 Speaker 1: valuable advice to follow in order to take in the 580 00:35:13,200 --> 00:35:18,080 Speaker 1: big picture and take that into consideration when you move forward. Rowena, 581 00:35:18,560 --> 00:35:22,279 Speaker 1: thank you so much for joining us for this episode. 582 00:35:22,880 --> 00:35:25,640 Speaker 1: Thanks Jonathan for having me. I've really enjoyed done this 583 00:35:25,760 --> 00:35:28,719 Speaker 1: some time with you, so thank you for inviting me here. 584 00:35:30,440 --> 00:35:33,799 Speaker 1: Speaking with Rowena was a genuine pleasure. Her passion for 585 00:35:33,960 --> 00:35:38,600 Speaker 1: problem solving, particularly with the end goal of improving people's lives, 586 00:35:39,360 --> 00:35:42,919 Speaker 1: is the sort of thing I find really inspirational, and 587 00:35:43,520 --> 00:35:46,399 Speaker 1: I always find that in the middle of these conversations 588 00:35:46,440 --> 00:35:50,120 Speaker 1: I start to connect dots that I never really considered before. 589 00:35:50,760 --> 00:35:54,240 Speaker 1: It becomes a bit of an exercise in free association, 590 00:35:54,480 --> 00:35:57,360 Speaker 1: and for a moment I get a sense of what 591 00:35:57,480 --> 00:36:00,520 Speaker 1: it must be like to be a leader like Rowena, 592 00:36:01,320 --> 00:36:05,040 Speaker 1: except you know, I'm nowhere near as capable as she is. 593 00:36:05,920 --> 00:36:09,640 Speaker 1: But it is this convergence of technologies that I really 594 00:36:09,680 --> 00:36:13,200 Speaker 1: find fascinating. From my side, I think about the cool 595 00:36:13,280 --> 00:36:15,799 Speaker 1: things this tech of tomorrow will be able to do. 596 00:36:16,000 --> 00:36:19,560 Speaker 1: From a consumer standpoint. But when I step outside of 597 00:36:19,600 --> 00:36:23,640 Speaker 1: that and consider the opportunities for innovation, I really get excited. 598 00:36:24,000 --> 00:36:27,360 Speaker 1: I suspect companies will implement solutions that I might never 599 00:36:27,719 --> 00:36:31,400 Speaker 1: directly observe, and yet they will have a profound effect 600 00:36:31,600 --> 00:36:34,439 Speaker 1: on the success of those businesses. And it's all made 601 00:36:34,440 --> 00:36:38,759 Speaker 1: possible by this era of computational power, the capacity to 602 00:36:38,840 --> 00:36:42,800 Speaker 1: collect and analyze data, the ability to create action plans 603 00:36:42,880 --> 00:36:46,560 Speaker 1: based on that analysis, and the connectivity that holds all 604 00:36:46,600 --> 00:36:50,120 Speaker 1: these different pieces together. Make sure you join us for 605 00:36:50,200 --> 00:36:52,880 Speaker 1: future episodes of The Restless Ones, where we'll speak with 606 00:36:52,920 --> 00:36:55,640 Speaker 1: more of the leaders who are defining the future of 607 00:36:55,719 --> 00:37:04,120 Speaker 1: tech in business. I'm Jonathan Strickland at T Mobile. For business, 608 00:37:04,239 --> 00:37:07,560 Speaker 1: unconventional thinking means we see things differently, so you can 609 00:37:07,600 --> 00:37:11,360 Speaker 1: focus on what matters most. That's why we've built America's largest, 610 00:37:11,480 --> 00:37:14,640 Speaker 1: fastest five G network while remaining a partner who delivers 611 00:37:14,680 --> 00:37:18,200 Speaker 1: exceptional customer support and five G included in every plan 612 00:37:18,480 --> 00:37:22,160 Speaker 1: so you get it all. Unconventional thinking is better for business. 613 00:37:22,400 --> 00:37:24,800 Speaker 1: Fastest five G based on average overall combined five G 614 00:37:24,880 --> 00:37:27,399 Speaker 1: speeds according to Open Signal Awards USA five G User 615 00:37:27,440 --> 00:37:30,160 Speaker 1: Experience Report October one. See five g device coverage and 616 00:37:30,200 --> 00:37:33,200 Speaker 1: access details at t mobile dot com