1 00:00:00,000 --> 00:00:03,600 Wow, getting ready for this deep dive into this future is now. 2 00:00:04,440 --> 00:00:07,720 CIO panel honestly has me feeling so energized. 3 00:00:07,760 --> 00:00:08,120 Oh yeah. 4 00:00:08,360 --> 00:00:12,480 These women are amazing and it's just what like the perfect way to kick off the week. 5 00:00:12,480 --> 00:00:12,720 Right? 6 00:00:12,720 --> 00:00:13,120 They sure. 7 00:00:13,520 --> 00:00:18,840 So we're diving into your notes and the transcripts obviously focusing on Jay Evans 8 00:00:18,840 --> 00:00:23,560 from Oracle Penelope Pret from Accenture and Ron Garrier. 9 00:00:23,600 --> 00:00:23,920 Yeah. 10 00:00:24,200 --> 00:00:25,920 Talk about a CIO dream team. 11 00:00:25,920 --> 00:00:26,160 Right? 12 00:00:26,160 --> 00:00:26,320 That's. 13 00:00:26,320 --> 00:00:26,960 Absolutely. 14 00:00:26,960 --> 00:00:30,160 And the timing couldn't be more perfect for a conversation like this, right? 15 00:00:30,160 --> 00:00:33,440 We're at this like turning point where everything's changing so fast. 16 00:00:33,440 --> 00:00:33,840 Yeah. 17 00:00:33,840 --> 00:00:36,080 And these CIOs aren't just talking about the future. 18 00:00:36,280 --> 00:00:37,040 They're building it. 19 00:00:37,040 --> 00:00:37,480 Totally. 20 00:00:37,480 --> 00:00:39,440 And they're not like sugarcoating anything either. 21 00:00:39,480 --> 00:00:39,760 Yeah. 22 00:00:39,880 --> 00:00:41,240 Take the cloud, for example. 23 00:00:41,480 --> 00:00:44,560 Penelope basically said, if you're still asking about the ROI of the cloud, you're 24 00:00:44,560 --> 00:00:45,880 already in the slow lane. 25 00:00:45,960 --> 00:00:46,200 Yeah. 26 00:00:46,200 --> 00:00:50,040 Penelope's comparison of the cloud to the internet I thought was just spot on. 27 00:00:50,360 --> 00:00:50,640 Yeah. 28 00:00:50,640 --> 00:00:53,760 It really highlighted how fundamental it is. 29 00:00:54,160 --> 00:00:54,480 Right? 30 00:00:54,640 --> 00:00:56,320 This isn't like a trend or a fad. 31 00:00:56,320 --> 00:01:00,520 It is the foundation upon which like almost everything else will be built. 32 00:01:00,680 --> 00:01:01,080 Yeah. 33 00:01:01,080 --> 00:01:02,720 And it's not just theoretical either. 34 00:01:02,720 --> 00:01:07,120 Jay Evans from Oracle shared this really interesting story about how even they 35 00:01:07,120 --> 00:01:10,080 uncovered wasted resources after moving to the cloud. 36 00:01:10,640 --> 00:01:11,200 Oh, wow. 37 00:01:11,640 --> 00:01:14,400 Which just goes to show, I think, how complex all of this is. 38 00:01:14,520 --> 00:01:15,160 Absolutely. 39 00:01:15,160 --> 00:01:18,760 And you know what's so fascinating about that is how the cloud actually 40 00:01:19,120 --> 00:01:20,560 provides more transparency. 41 00:01:20,560 --> 00:01:21,160 Yeah. 42 00:01:21,280 --> 00:01:24,560 So it's like, it allowed them to see those inefficiencies that maybe they 43 00:01:24,560 --> 00:01:26,400 didn't even know were there before. 44 00:01:26,400 --> 00:01:29,560 It's like shining a light in all the corners that you just never even think to look. 45 00:01:29,600 --> 00:01:30,280 Exactly. 46 00:01:30,280 --> 00:01:33,520 And that kind of brings us, I think, to another big takeaway from this panel, 47 00:01:33,520 --> 00:01:39,640 which is data is power, obviously, but only if you have the skills to actually use it. 48 00:01:39,840 --> 00:01:45,040 And Ron Garrier had this really interesting perspective on what those skills actually are. 49 00:01:45,400 --> 00:01:50,120 His point about moving beyond just being a math person is so important. 50 00:01:50,120 --> 00:01:51,520 And it really resonated with me. 51 00:01:51,520 --> 00:01:51,960 Yeah. 52 00:01:51,960 --> 00:01:55,520 Technical skills are obviously important, but it's about being a problem solver. 53 00:01:55,520 --> 00:01:57,240 It's about being a storyteller. 54 00:01:57,680 --> 00:01:59,040 It's about collaboration. 55 00:01:59,400 --> 00:02:01,120 Those are the things that really make a difference. 56 00:02:01,160 --> 00:02:04,480 It's about bringing people along on the journey, not just, like you said, crunching 57 00:02:04,480 --> 00:02:05,720 numbers in your little corner. 58 00:02:05,760 --> 00:02:06,640 Yeah, exactly. 59 00:02:06,800 --> 00:02:11,840 And speaking of journeys, I mean, Ron's own career trajectory is like a 60 00:02:11,880 --> 00:02:13,720 masterclass in adaptability. 61 00:02:13,760 --> 00:02:14,640 Oh, tell me about it. 62 00:02:14,680 --> 00:02:18,200 Going from repo agent to five times CIO. 63 00:02:18,320 --> 00:02:19,880 I mean, that's incredible. 64 00:02:19,880 --> 00:02:23,160 It really goes to show you that sometimes those unexpected paths can 65 00:02:23,160 --> 00:02:24,840 lead to really amazing places. 66 00:02:24,880 --> 00:02:25,480 For sure. 67 00:02:25,480 --> 00:02:29,160 And he actually got his start in IT because of the Y2K rush. 68 00:02:29,200 --> 00:02:29,640 Oh, wow. 69 00:02:29,640 --> 00:02:31,360 Which is crazy to think about now. 70 00:02:31,520 --> 00:02:31,840 I know. 71 00:02:31,840 --> 00:02:33,480 It's like this blast from the past. 72 00:02:33,520 --> 00:02:38,200 But it just shows you how these big moments can completely change entire industries. 73 00:02:38,200 --> 00:02:38,760 Yeah. 74 00:02:38,840 --> 00:02:43,360 Speaking of big moments, though, Penelope did not hold back when she said change or 75 00:02:43,360 --> 00:02:45,800 die when it comes to digital transformation. 76 00:02:45,840 --> 00:02:46,600 She really didn't. 77 00:02:46,640 --> 00:02:47,760 Which is kind of her style. 78 00:02:47,800 --> 00:02:48,640 It's true. 79 00:02:48,640 --> 00:02:49,480 But you know what? 80 00:02:49,480 --> 00:02:52,440 That bluntness is actually what makes it so powerful. 81 00:02:52,480 --> 00:02:53,080 Oh, for sure. 82 00:02:53,320 --> 00:02:54,240 It's a wake up call. 83 00:02:54,440 --> 00:02:54,760 Yeah. 84 00:02:54,760 --> 00:02:56,400 For anyone who's dragging their feet. 85 00:02:56,440 --> 00:02:57,000 Totally. 86 00:02:57,000 --> 00:02:58,240 And it's not just talk. 87 00:02:58,760 --> 00:03:04,440 Either Accenture under Penelope's leadership, they are a case study in rapid digital 88 00:03:04,440 --> 00:03:05,240 transformation. 89 00:03:05,240 --> 00:03:05,600 Absolutely. 90 00:03:05,600 --> 00:03:06,440 They practice what they preach. 91 00:03:06,440 --> 00:03:07,120 Exactly. 92 00:03:07,120 --> 00:03:08,160 And it makes sense, right? 93 00:03:08,200 --> 00:03:10,920 Because it's like Darwin said, adapt or become irrelevant. 94 00:03:10,920 --> 00:03:13,720 And that adaptation, that takes a certain mindset. 95 00:03:13,760 --> 00:03:14,280 Absolutely. 96 00:03:14,280 --> 00:03:18,840 Both Penelope and Jay actually talked about this idea that you have to be comfortable 97 00:03:18,840 --> 00:03:20,000 with being uncomfortable. 98 00:03:20,200 --> 00:03:20,720 Oh, yeah. 99 00:03:20,920 --> 00:03:25,120 Like, it's OK to not have all the answers, but you have to at least have the drive to 100 00:03:25,120 --> 00:03:25,880 look for them. 101 00:03:25,920 --> 00:03:27,760 That intellectual curiosity. 102 00:03:28,200 --> 00:03:29,880 It's more important than ever, I think. 103 00:03:30,080 --> 00:03:30,520 Yeah. 104 00:03:30,520 --> 00:03:34,920 And that's where things get really, really interesting, I think, because it's not just 105 00:03:34,920 --> 00:03:35,600 about the tech. 106 00:03:35,600 --> 00:03:35,880 Right. 107 00:03:35,880 --> 00:03:36,920 It's about us. 108 00:03:36,920 --> 00:03:40,720 It's about like the future of work, how we live, how we interact with the world. 109 00:03:40,880 --> 00:03:43,320 And this is where I think those lines really start to blur. 110 00:03:43,320 --> 00:03:44,360 Yeah. 111 00:03:44,360 --> 00:03:44,520 Yes. 112 00:03:44,520 --> 00:03:50,280 What struck me was that the skills that we need to navigate this new world, they aren't 113 00:03:50,280 --> 00:03:51,680 just for tech people. 114 00:03:52,160 --> 00:03:52,600 Exactly. 115 00:03:52,600 --> 00:03:56,640 They're for everybody, every industry, every profession. 116 00:03:56,640 --> 00:04:02,040 So for our listeners out there, it's like, OK, how can we take all of this and actually 117 00:04:02,040 --> 00:04:03,480 apply it to what we're doing? 118 00:04:03,480 --> 00:04:03,760 Right. 119 00:04:03,760 --> 00:04:09,080 How do we take these big ideas and make them relevant to our own lives and our own careers? 120 00:04:09,120 --> 00:04:11,280 Because it can feel overwhelming, right? 121 00:04:11,280 --> 00:04:12,120 Well, absolutely. 122 00:04:12,120 --> 00:04:14,920 Yeah, it's real, right, that fear of being left behind in the dust. 123 00:04:14,920 --> 00:04:15,320 Totally. 124 00:04:15,320 --> 00:04:21,720 But Ron Garrier's advice to like fall in love with solving a problem, that really stuck 125 00:04:21,720 --> 00:04:22,280 with me. 126 00:04:22,280 --> 00:04:22,680 Oh, yeah. 127 00:04:22,680 --> 00:04:27,640 You know, it's not about mastering every single new gadget or coding language as soon as it 128 00:04:27,640 --> 00:04:28,120 comes out. 129 00:04:28,120 --> 00:04:28,360 Yeah. 130 00:04:28,360 --> 00:04:32,760 It's about finding what excites you, what you're passionate about, and then figuring 131 00:04:32,760 --> 00:04:35,960 out how to use technology as a tool to make a difference. 132 00:04:35,960 --> 00:04:39,000 I love that because it really shifts the focus, doesn't it? 133 00:04:39,000 --> 00:04:39,240 Yeah. 134 00:04:39,240 --> 00:04:41,800 From am I keeping up with the things that I'm doing? 135 00:04:41,800 --> 00:04:44,360 Keeping up to what problem am I passionate about solving? 136 00:04:44,360 --> 00:04:45,160 I'm excited. 137 00:04:45,160 --> 00:04:49,320 And honestly, I think that's just such a game changer for anybody who's feeling overwhelmed 138 00:04:49,320 --> 00:04:50,520 by all of this. 139 00:04:50,520 --> 00:04:51,400 Absolutely. 140 00:04:51,400 --> 00:04:56,200 And it ties back into Penelope's emphasis on intellectual curiosity, too. 141 00:04:56,200 --> 00:04:56,680 Yes. 142 00:04:56,680 --> 00:05:00,440 Remember, she said you can't master any one specific technology because by the time you 143 00:05:00,440 --> 00:05:02,680 do, it's going to be outdated. 144 00:05:02,680 --> 00:05:08,520 So it's more about cultivating that thirst for knowledge, the ability to learn and adapt 145 00:05:08,520 --> 00:05:09,480 and evolve. 146 00:05:09,480 --> 00:05:13,960 It's like she's saying, become the kind of person who is excited by all of this change, 147 00:05:13,960 --> 00:05:15,240 not threatened by it. 148 00:05:15,240 --> 00:05:15,800 Right. 149 00:05:15,800 --> 00:05:19,240 And honestly, who wouldn't want that superpower in this day and age? 150 00:05:19,240 --> 00:05:23,320 And you know what I love about that is that it's not just about formal education or getting 151 00:05:23,320 --> 00:05:24,280 another certification. 152 00:05:24,280 --> 00:05:24,680 Right. 153 00:05:24,680 --> 00:05:26,360 It's about being curious. 154 00:05:26,360 --> 00:05:28,600 It's about connecting with people in your field. 155 00:05:28,600 --> 00:05:33,240 It's about just having that mindset of continuous improvement. 156 00:05:33,240 --> 00:05:33,640 Totally. 157 00:05:33,640 --> 00:05:37,880 And it made me think about something else, too, that Ron said that I thought was both 158 00:05:37,880 --> 00:05:39,800 endearing and kind of insightful. 159 00:05:39,800 --> 00:05:40,600 What's that? 160 00:05:40,600 --> 00:05:44,840 He was talking about his son, Jordan, who's about to graduate with a degree in math and 161 00:05:44,840 --> 00:05:45,800 data science. 162 00:05:45,800 --> 00:05:46,440 OK. 163 00:05:46,440 --> 00:05:50,680 You'd think with Ron's background being such a tech heavy hitter, he would be all about 164 00:05:51,400 --> 00:05:52,920 pure technical mastery. 165 00:05:52,920 --> 00:05:53,240 Right. 166 00:05:53,240 --> 00:05:54,760 Go out there and code the world. 167 00:05:54,760 --> 00:05:55,080 Right. 168 00:05:55,080 --> 00:05:55,960 Build the metaverse. 169 00:05:55,960 --> 00:06:00,680 But instead, he's like, no focus on being a problem solver, be a storyteller, be a 170 00:06:00,680 --> 00:06:01,480 collaborator. 171 00:06:01,480 --> 00:06:02,200 I love that. 172 00:06:02,200 --> 00:06:06,600 It just goes to show you those human skills, those soft skills, they're not just nice to 173 00:06:06,600 --> 00:06:07,480 haves anymore. 174 00:06:07,480 --> 00:06:08,840 They're the differentiators. 175 00:06:08,840 --> 00:06:09,080 Yes. 176 00:06:09,080 --> 00:06:12,840 In a world where AI is becoming more sophisticated every single day. 177 00:06:13,560 --> 00:06:18,840 It is interesting, though, because we tend to think of technology as being very analytical, 178 00:06:18,840 --> 00:06:19,960 very left brained. 179 00:06:19,960 --> 00:06:20,520 Right. 180 00:06:20,520 --> 00:06:26,680 But this panel really highlighted how crucial the human element still is, that emotional 181 00:06:26,680 --> 00:06:27,320 intelligence. 182 00:06:27,320 --> 00:06:28,440 And it makes sense, right? 183 00:06:28,440 --> 00:06:28,680 Yeah. 184 00:06:28,680 --> 00:06:29,640 Because think about it. 185 00:06:29,640 --> 00:06:35,320 If AI is automating all those routine tasks, what's left are the things that are uniquely 186 00:06:35,320 --> 00:06:35,880 human. 187 00:06:35,880 --> 00:06:36,280 Exactly. 188 00:06:36,280 --> 00:06:41,960 Like creativity and empathy and critical thinking and being able to build those relationships 189 00:06:41,960 --> 00:06:43,560 and solve problems together. 190 00:06:43,560 --> 00:06:47,320 You know, it's like that old saying, it's not what you know, it's who you know. 191 00:06:47,320 --> 00:06:47,720 Right. 192 00:06:47,720 --> 00:06:51,880 But maybe in the future, it'll be, it's not even what you know, but how you connect. 193 00:06:52,360 --> 00:06:53,080 I love that. 194 00:06:53,080 --> 00:06:55,160 And that connection piece is so key. 195 00:06:55,160 --> 00:06:58,680 Yeah, the panel talked a lot about the importance of collaboration, right? 196 00:06:58,680 --> 00:07:01,560 Not just within companies, but across industries. 197 00:07:01,560 --> 00:07:04,920 And that brings us back to that whole blurring of lines thing that we were talking about 198 00:07:04,920 --> 00:07:05,880 earlier, right? 199 00:07:05,880 --> 00:07:09,320 Technology isn't just siloed in the IT department anymore. 200 00:07:09,320 --> 00:07:09,720 Nope. 201 00:07:09,720 --> 00:07:10,440 It's everywhere. 202 00:07:10,440 --> 00:07:11,320 It really is. 203 00:07:11,320 --> 00:07:14,440 Like every company is becoming a tech company in a way. 204 00:07:15,080 --> 00:07:15,640 Think about it. 205 00:07:15,640 --> 00:07:20,200 Healthcare finance manufacturing, even those industries that we traditionally think of 206 00:07:20,200 --> 00:07:21,320 as being low tech. 207 00:07:21,320 --> 00:07:21,640 Right. 208 00:07:21,640 --> 00:07:23,640 They're all being transformed by this stuff. 209 00:07:23,640 --> 00:07:26,360 By data, by automation, by AI. 210 00:07:26,360 --> 00:07:27,000 It's exciting. 211 00:07:27,000 --> 00:07:27,880 It is. 212 00:07:27,880 --> 00:07:29,560 But also kind of daunting, right? 213 00:07:29,560 --> 00:07:32,520 Especially if you don't necessarily consider yourself a tech person. 214 00:07:32,520 --> 00:07:37,960 Exactly. And that I think is where that adaptability comes in that lifelong learning. 215 00:07:37,960 --> 00:07:39,960 It all comes back to that, doesn't it? 216 00:07:39,960 --> 00:07:40,840 It really does. 217 00:07:40,840 --> 00:07:44,360 Because it's about being open to these new possibilities, being willing to learn new 218 00:07:44,360 --> 00:07:49,240 things, realizing that the skills that you have right now, they might be transferable 219 00:07:49,240 --> 00:07:50,840 to something that you've never even thought of. 220 00:07:50,840 --> 00:07:55,400 It's like you're constantly having to level up your skills, your mindset, even just your 221 00:07:55,400 --> 00:07:57,160 definition of what's possible. 222 00:07:57,160 --> 00:08:01,080 And that brings us to like a really big question that I think is probably on the minds of a 223 00:08:01,080 --> 00:08:02,680 lot of our listeners. 224 00:08:02,680 --> 00:08:06,280 Yeah, the elephant in the room whenever we talk about AI and automation. 225 00:08:06,280 --> 00:08:07,000 Exactly. 226 00:08:07,000 --> 00:08:09,240 What does all of this mean for jobs? 227 00:08:09,240 --> 00:08:11,240 Right. Are the robots coming for us? 228 00:08:11,240 --> 00:08:12,440 It's the question, right? 229 00:08:12,440 --> 00:08:14,360 Like what happens to us in all of this? 230 00:08:14,360 --> 00:08:15,000 Yeah. 231 00:08:15,000 --> 00:08:16,840 And you know what I really appreciated? 232 00:08:16,840 --> 00:08:18,360 That they didn't shy away from it. 233 00:08:19,080 --> 00:08:21,400 They acknowledge that the job market is changing. 234 00:08:21,400 --> 00:08:23,080 Some jobs are going to be automated, but- 235 00:08:23,080 --> 00:08:24,360 It's not about mass unemployment. 236 00:08:24,360 --> 00:08:26,600 It's almost like this mass opportunity. 237 00:08:26,600 --> 00:08:27,400 Right. Exactly. 238 00:08:27,400 --> 00:08:31,400 And the thing is, those new jobs are going to require new skills. 239 00:08:31,400 --> 00:08:36,840 So it's less about robots stealing our jobs and more about us needing to level up faster 240 00:08:36,840 --> 00:08:37,800 than ever before. 241 00:08:37,800 --> 00:08:42,920 Yes. And that's where education, I think, both formal and informal becomes so important. 242 00:08:42,920 --> 00:08:43,720 Absolutely. 243 00:08:43,720 --> 00:08:48,440 It's about equipping ourselves with the skills to thrive in this new landscape. 244 00:08:48,440 --> 00:08:53,000 It's interesting though, because it's starting to sound less like humans versus machines 245 00:08:53,000 --> 00:08:55,640 and more like humans and machines working together. 246 00:08:55,640 --> 00:09:00,440 Right. And the panel really emphasized that synergy, I think, that the real magic happens 247 00:09:00,440 --> 00:09:02,520 when we can leverage the strengths of both. 248 00:09:02,520 --> 00:09:09,720 So AI can handle the routine data-heavy tasks freeing us up to focus on what we humans do best. 249 00:09:09,720 --> 00:09:14,600 It's exactly like creativity and critical thinking and complex problem solving, 250 00:09:14,600 --> 00:09:15,480 all that good stuff. 251 00:09:15,480 --> 00:09:20,520 Which brings us back full circle to Ron's advice about falling in love with problem solving. 252 00:09:20,520 --> 00:09:21,640 It does, doesn't it? 253 00:09:21,640 --> 00:09:23,880 It's not about becoming a robot yourself. 254 00:09:23,880 --> 00:09:28,840 It's about identifying those uniquely human skills that you bring to the table. 255 00:09:28,840 --> 00:09:31,480 Because those are the skills that are going to set you apart. 256 00:09:31,480 --> 00:09:37,560 Exactly. And honestly, I think this is the perfect segue to the final thought-provoking takeaway 257 00:09:37,560 --> 00:09:39,000 from this whole deep dive. 258 00:09:39,000 --> 00:09:39,720 Okay, shoot. 259 00:09:39,720 --> 00:09:43,560 The future of tech. It's not separate from the future of us. 260 00:09:43,560 --> 00:09:45,880 Well, that's good. Yeah. It's about all of us. 261 00:09:45,880 --> 00:09:50,200 Like it's intertwined, it's personal, and it's happening whether we're ready or not. 262 00:09:50,200 --> 00:09:53,640 It is. And that's why I love that you brought up Ron's point about falling in love with 263 00:09:53,640 --> 00:09:54,440 problem solving. 264 00:09:55,160 --> 00:09:55,880 Yeah. 265 00:09:55,880 --> 00:09:57,880 Because it really is a call to action, isn't it? 266 00:09:57,880 --> 00:09:59,560 It's like, what are you passionate about? 267 00:10:01,000 --> 00:10:03,880 What unique value can you bring to the table? 268 00:10:03,880 --> 00:10:08,840 Because those are the seeds of innovation in this crazy world that's changing every single day. 269 00:10:08,840 --> 00:10:12,440 And that is a question worth thinking about no matter where you are in your career. 270 00:10:12,440 --> 00:10:14,120 Even if you haven't started one yet. 271 00:10:14,120 --> 00:10:17,000 Exactly. Because this isn't just about finding a job at this point. 272 00:10:17,000 --> 00:10:18,840 It's about finding your place. 273 00:10:18,840 --> 00:10:20,920 In this whole tech-driven future. 274 00:10:20,920 --> 00:10:22,200 Yeah. How do you fit in? 275 00:10:22,200 --> 00:10:28,440 Well said. So, listeners, we've reached the end of our deep dive into this incredible CIO panel. 276 00:10:28,440 --> 00:10:29,640 Amazing conversation. 277 00:10:29,640 --> 00:10:32,840 But like always, this is just the beginning of the conversation, right? 278 00:10:32,840 --> 00:10:33,880 Oh, yeah. Absolutely. 279 00:10:33,880 --> 00:10:38,040 What resonated with you? What are you going to do differently as you move through your world? 280 00:10:38,920 --> 00:10:39,960 Think about it. 281 00:10:39,960 --> 00:10:42,200 Because technology waits for no one. 282 00:10:42,200 --> 00:10:48,200 And if you stumble across any other thought-provoking articles, research anything at all that has you 283 00:10:48,200 --> 00:10:49,800 thinking about the future of tech. 284 00:10:49,800 --> 00:10:50,680 Send it our way. 285 00:10:50,680 --> 00:10:53,160 Please do. Because you know we love a good deep dive. 286 00:10:53,160 --> 00:10:57,880 We do. Until next time, keep exploring, keep learning, and most importantly... 287 00:10:57,880 --> 00:10:59,320 Keep shaping the future. 288 00:10:59,320 --> 00:11:27,320 Yes. You heard us right here on this deep dive.