1 00:00:00,000 --> 00:00:01,960 Welcome to the deep dive. 2 00:00:01,960 --> 00:00:04,680 Today, we're diving into a topic that's, 3 00:00:04,680 --> 00:00:08,640 well, it's both exciting, A&D, a little daunting, 4 00:00:08,640 --> 00:00:09,800 AI competency. 5 00:00:09,800 --> 00:00:10,640 Yeah, exactly. 6 00:00:10,640 --> 00:00:11,560 I mean, it's everywhere, right? 7 00:00:11,560 --> 00:00:14,280 All over the news, transforming industries. 8 00:00:14,280 --> 00:00:16,440 Honestly, it can feel kind of overwhelming 9 00:00:16,440 --> 00:00:17,340 just trying to keep up. 10 00:00:17,340 --> 00:00:20,360 It really is incredible the pace that AI is moving at, 11 00:00:20,360 --> 00:00:22,440 but that's exactly why we're here. 12 00:00:22,440 --> 00:00:24,080 To break it down, cut through all that noise, 13 00:00:24,080 --> 00:00:25,600 figure out what truly matters. 14 00:00:25,600 --> 00:00:26,440 Exactly. 15 00:00:26,440 --> 00:00:27,440 And for this deep dive, 16 00:00:27,440 --> 00:00:29,960 we've got a fantastic resource to guide us 17 00:00:29,960 --> 00:00:31,520 to help us do just that. 18 00:00:31,520 --> 00:00:35,320 A guide created by, well, have you heard of the AI Alliance? 19 00:00:35,320 --> 00:00:36,240 So they're a group of, well, 20 00:00:36,240 --> 00:00:39,120 you've got tech leaders in there, academics, 21 00:00:39,120 --> 00:00:42,980 even nonprofits, all working together with this shared goal 22 00:00:42,980 --> 00:00:45,880 to make sure that we have a responsible AI future 23 00:00:45,880 --> 00:00:47,280 for everybody. 24 00:00:47,280 --> 00:00:49,440 And they really believe that AI competency 25 00:00:49,440 --> 00:00:50,960 is the key to making that happen. 26 00:00:50,960 --> 00:00:51,800 Yeah. 27 00:00:51,800 --> 00:00:53,120 And one of the things that's really fascinating 28 00:00:53,120 --> 00:00:56,600 about this guide is, I mean, they define AI competency 29 00:00:56,600 --> 00:00:59,120 in a way that really is relevant to everyone, 30 00:00:59,120 --> 00:01:01,320 not just like the tech wizards, you know? 31 00:01:01,320 --> 00:01:02,160 Yeah. 32 00:01:02,160 --> 00:01:04,680 It's about understanding AI's potential, 33 00:01:04,680 --> 00:01:06,920 recognizing the limits of what it can do, 34 00:01:06,920 --> 00:01:11,640 knowing how to use it ethically, effectively, 35 00:01:11,640 --> 00:01:14,760 no matter what you do, no matter what your profession is. 36 00:01:14,760 --> 00:01:15,600 Okay. 37 00:01:15,600 --> 00:01:17,440 So it's not about becoming a programmer then, 38 00:01:17,440 --> 00:01:21,160 it's about being, I guess, AI savvy. 39 00:01:21,160 --> 00:01:22,000 Yeah. 40 00:01:22,000 --> 00:01:23,720 In your own field, in your own world. 41 00:01:23,720 --> 00:01:25,920 That makes it feel a lot less intimidating, I think. 42 00:01:25,920 --> 00:01:26,760 Exactly. 43 00:01:26,760 --> 00:01:27,580 Yeah. 44 00:01:27,580 --> 00:01:29,280 The guide actually starts by talking about something 45 00:01:29,280 --> 00:01:32,000 we often overlook, which is just good old fashioned 46 00:01:32,000 --> 00:01:33,040 digital literacy. 47 00:01:33,040 --> 00:01:33,880 Right. 48 00:01:33,880 --> 00:01:35,520 Because, I mean, if you're not even comfortable 49 00:01:35,520 --> 00:01:36,800 like with computers and the internet, 50 00:01:36,800 --> 00:01:38,960 AI is just gonna be an even bigger hurdle. 51 00:01:38,960 --> 00:01:39,800 Yeah. 52 00:01:39,800 --> 00:01:41,120 It's like, I don't know, it's like trying to build a house, 53 00:01:41,120 --> 00:01:43,240 but you don't even know how to use a hammer, right? 54 00:01:43,240 --> 00:01:45,800 We need those basic skills first. 55 00:01:45,800 --> 00:01:48,200 And I mean, the statistics on this are pretty eye-opening. 56 00:01:48,200 --> 00:01:50,680 The International Telecommunication Union estimates 57 00:01:50,680 --> 00:01:54,000 that only about 56% of the global population 58 00:01:54,000 --> 00:01:56,320 has even basic digital literacy. 59 00:01:56,320 --> 00:01:57,160 Wow. 60 00:01:57,160 --> 00:01:58,000 Yeah. 61 00:01:58,000 --> 00:02:00,040 That's a lot of people who are potentially being, 62 00:02:00,040 --> 00:02:02,840 well, left behind as AI becomes, 63 00:02:02,840 --> 00:02:04,960 I mean, even more prevalent than it already is. 64 00:02:04,960 --> 00:02:05,800 Yeah. 65 00:02:05,800 --> 00:02:08,440 And even here in like technologically advanced countries 66 00:02:08,440 --> 00:02:11,440 like the US, there are studies showing that a significant 67 00:02:11,440 --> 00:02:14,160 portion of the workforce actually lacks these really 68 00:02:14,160 --> 00:02:15,940 essential digital skills. 69 00:02:15,940 --> 00:02:19,160 Things like using devices, navigating the internet safely, 70 00:02:19,160 --> 00:02:22,400 managing files and, you know, basic communication tools. 71 00:02:22,400 --> 00:02:25,680 So step one is really making sure that your, 72 00:02:25,680 --> 00:02:28,520 I guess your digital foundation is strong, is solid. 73 00:02:28,520 --> 00:02:29,400 Absolutely. 74 00:02:29,400 --> 00:02:30,240 Yeah. 75 00:02:30,240 --> 00:02:32,520 And I mean, once you are comfortable with those basics, 76 00:02:32,520 --> 00:02:34,440 AI becomes a lot easier to understand. 77 00:02:34,440 --> 00:02:36,880 And let's face it, understanding AI is crucial 78 00:02:36,880 --> 00:02:39,520 because it really is impacting every single aspect 79 00:02:39,520 --> 00:02:42,480 of our lives, healthcare, finance, transportation, 80 00:02:42,480 --> 00:02:43,320 even the arts. 81 00:02:43,320 --> 00:02:45,840 I mean, you can't think of the field that's not touching. 82 00:02:45,840 --> 00:02:46,680 Yeah. 83 00:02:46,680 --> 00:02:47,520 Yeah. 84 00:02:47,520 --> 00:02:48,340 It's not just industries, it's changing how we work, 85 00:02:48,340 --> 00:02:49,160 how we live. 86 00:02:49,160 --> 00:02:51,880 The fabric of our lives is being impacted by this stuff. 87 00:02:51,880 --> 00:02:54,600 And the guide actually paints a picture, 88 00:02:54,600 --> 00:02:56,200 that's, well, it's pretty stark. 89 00:02:56,200 --> 00:03:00,240 It says that almost 40% of global jobs are at risk 90 00:03:00,240 --> 00:03:03,120 of being significantly changed by AI. 91 00:03:03,120 --> 00:03:07,280 We could see something like 152 million jobs churning, 92 00:03:07,280 --> 00:03:09,560 changing, disappearing, new ones appearing. 93 00:03:09,560 --> 00:03:10,520 It's a big number. 94 00:03:10,520 --> 00:03:11,720 Okay. Yeah. That's huge. 95 00:03:11,720 --> 00:03:14,240 And I bet a lot of our listeners are sitting there thinking, 96 00:03:14,240 --> 00:03:16,320 how is this going to affect me personally? 97 00:03:16,320 --> 00:03:17,160 You know? 98 00:03:17,160 --> 00:03:18,420 Yeah. That's the key question. 99 00:03:18,420 --> 00:03:21,080 How might AI impact your job? 100 00:03:21,080 --> 00:03:22,440 The job you have now, 101 00:03:22,440 --> 00:03:24,920 or the career choices you make in the future? 102 00:03:24,920 --> 00:03:26,720 Even your hobbies, for goodness sake. 103 00:03:26,720 --> 00:03:29,120 It's understandable that people are feeling anxious about it. 104 00:03:29,120 --> 00:03:31,200 I mean, an Ipsos survey found that two thirds of people 105 00:03:31,200 --> 00:03:34,200 believe that their lives will be drastically affected by AI. 106 00:03:34,200 --> 00:03:36,960 Okay. So yeah, we've got this wave of change coming, 107 00:03:36,960 --> 00:03:38,240 this AI driven wave. 108 00:03:38,240 --> 00:03:40,200 And it can feel scary, I get it. 109 00:03:40,200 --> 00:03:43,040 But the AI Alliance Guide presents this really interesting 110 00:03:43,040 --> 00:03:46,880 concept, these, what they call durable competencies. 111 00:03:46,880 --> 00:03:50,480 Yeah. And these are, I like to think of them as the skills 112 00:03:50,480 --> 00:03:52,480 that actually become more valuable. 113 00:03:52,480 --> 00:03:54,520 As AI takes over the routine stuff, 114 00:03:54,520 --> 00:03:55,840 the things we used to do, 115 00:03:55,840 --> 00:03:58,280 it's those uniquely human abilities 116 00:03:58,280 --> 00:04:01,720 that will really set you apart in this new world, 117 00:04:01,720 --> 00:04:03,440 this AI powered world. 118 00:04:03,440 --> 00:04:07,280 So, while AI might be awesome at crunching numbers, 119 00:04:07,280 --> 00:04:11,080 or analyzing data, it's those human skills like creativity, 120 00:04:11,080 --> 00:04:13,720 critical thinking, emotional intelligence, 121 00:04:13,720 --> 00:04:15,600 that are going to become even more important 122 00:04:15,600 --> 00:04:16,520 than they already are. 123 00:04:16,520 --> 00:04:17,560 Precisely. 124 00:04:17,560 --> 00:04:20,480 The guide lists several of these durable competencies, 125 00:04:20,480 --> 00:04:23,400 including things like, well, flexibility for one, 126 00:04:23,400 --> 00:04:25,800 having a growth mindset, personal agency, 127 00:04:25,800 --> 00:04:27,920 being able to solve problems creatively, 128 00:04:27,920 --> 00:04:30,320 communication and collaboration skills, 129 00:04:30,320 --> 00:04:33,200 and really good project management abilities. 130 00:04:33,200 --> 00:04:34,960 I can already see how these are relevant. 131 00:04:34,960 --> 00:04:38,000 I mean, even just in terms of working alongside AI, 132 00:04:38,000 --> 00:04:40,800 like if you're managing a team that's using AI tools, 133 00:04:40,800 --> 00:04:42,360 strong communication and collaboration, 134 00:04:42,360 --> 00:04:43,840 that becomes even more critical 135 00:04:43,840 --> 00:04:45,680 to make sure everybody's on the same page, 136 00:04:45,680 --> 00:04:46,880 understanding what's happening. 137 00:04:46,880 --> 00:04:49,160 Right, and even just the idea of a growth mindset. 138 00:04:49,160 --> 00:04:50,840 I mean, AI is constantly evolving, 139 00:04:50,840 --> 00:04:52,120 so you need to be adaptable, 140 00:04:52,120 --> 00:04:54,120 you need to embrace lifelong learning, 141 00:04:54,120 --> 00:04:56,360 be willing to constantly upskill and reskill. 142 00:04:56,360 --> 00:04:57,760 It's that comfort with the unknown, 143 00:04:57,760 --> 00:05:00,240 that willingness to embrace new challenges 144 00:05:00,240 --> 00:05:03,040 instead of fearing them, which is tough. 145 00:05:03,040 --> 00:05:04,240 It is, it is. 146 00:05:04,240 --> 00:05:05,720 But the guide doesn't just stop 147 00:05:05,720 --> 00:05:08,400 at these sort of general competencies, 148 00:05:08,400 --> 00:05:12,240 it also dives into five key AI competency areas. 149 00:05:12,240 --> 00:05:14,240 And those are, responsible use, 150 00:05:14,240 --> 00:05:16,280 identifying data limitations, 151 00:05:16,280 --> 00:05:20,560 data analysis, machine learning, and AI logic. 152 00:05:20,560 --> 00:05:22,640 Okay, so let's break those down one by one, 153 00:05:22,640 --> 00:05:24,200 starting with, I guess, the first one. 154 00:05:24,200 --> 00:05:26,800 Responsible use, what does that even entail? 155 00:05:26,800 --> 00:05:27,640 What does that mean? 156 00:05:27,640 --> 00:05:29,080 So this is all about making sure 157 00:05:29,080 --> 00:05:31,200 that we're using AI ethically. 158 00:05:31,200 --> 00:05:32,600 For the benefit of society, 159 00:05:32,600 --> 00:05:34,360 it's not just about what AI can do, 160 00:05:34,360 --> 00:05:35,840 it's about what it should do. 161 00:05:35,840 --> 00:05:37,840 Thinking about things like data privacy, 162 00:05:37,840 --> 00:05:41,400 potential biases, avoiding unintended consequences. 163 00:05:41,400 --> 00:05:42,920 So having a moral compass 164 00:05:42,920 --> 00:05:43,920 when you're working with these tools, 165 00:05:43,920 --> 00:05:46,400 and thinking about the impact on people, on communities. 166 00:05:46,400 --> 00:05:49,080 Exactly, and that really leads into the next area, 167 00:05:49,080 --> 00:05:51,080 identifying data limitations. 168 00:05:51,080 --> 00:05:54,320 AI is only as good as the data it learns from. 169 00:05:54,320 --> 00:05:57,600 If the data is flawed, the AI's output will be too. 170 00:05:57,600 --> 00:05:58,440 Simple as that. 171 00:05:58,440 --> 00:06:03,360 Yeah, so we need to be able to critically evaluate 172 00:06:03,360 --> 00:06:05,680 the data that's feeding these systems, 173 00:06:05,680 --> 00:06:08,840 recognize potential limitations, biases. 174 00:06:08,840 --> 00:06:10,800 It's almost like being a detective, right? 175 00:06:10,800 --> 00:06:12,760 Looking for clues that maybe the AI 176 00:06:12,760 --> 00:06:14,120 isn't getting the full picture. 177 00:06:14,120 --> 00:06:15,200 That's a great analogy. 178 00:06:15,200 --> 00:06:17,760 And it all ties into the third area, data analysis. 179 00:06:17,760 --> 00:06:19,600 You don't have to become a data scientist, 180 00:06:19,600 --> 00:06:21,760 but understanding the basics of how to analyze data, 181 00:06:21,760 --> 00:06:25,080 visualize it, interpret the results that AI is spitting out, 182 00:06:25,080 --> 00:06:25,920 that's really important. 183 00:06:25,920 --> 00:06:29,160 So data literate, not necessarily data expert. 184 00:06:29,160 --> 00:06:30,800 Right, and then that kind of prepares us 185 00:06:30,800 --> 00:06:32,480 for the two areas that probably sound 186 00:06:32,480 --> 00:06:35,320 a little more technical, machine learning and AI logic. 187 00:06:35,320 --> 00:06:36,240 Okay, yeah. 188 00:06:36,240 --> 00:06:37,320 Let's start with machine learning, 189 00:06:37,320 --> 00:06:38,760 because I think a lot of people hear that, 190 00:06:38,760 --> 00:06:40,480 and their eyes kind of glaze over. 191 00:06:40,480 --> 00:06:42,640 What do we really need to know about that? 192 00:06:42,640 --> 00:06:44,720 It's actually simpler than it sounds. 193 00:06:44,720 --> 00:06:46,160 Machine learning is all about 194 00:06:46,160 --> 00:06:48,680 how AI systems learn from data. 195 00:06:48,680 --> 00:06:51,320 It's about understanding different types of algorithms 196 00:06:51,320 --> 00:06:54,360 and how they're used to, well, to train AI, 197 00:06:54,360 --> 00:06:57,280 to recognize patterns, to make predictions, 198 00:06:57,280 --> 00:06:58,840 to perform tasks. 199 00:06:58,840 --> 00:07:00,560 So it's like teaching a computer 200 00:07:00,560 --> 00:07:02,400 to learn from experience, just like we do. 201 00:07:02,400 --> 00:07:03,840 That's a great way to put it. 202 00:07:03,840 --> 00:07:06,040 And then you have AI logic, 203 00:07:06,040 --> 00:07:07,400 which is a bit of a different approach. 204 00:07:07,400 --> 00:07:10,760 It's about using logic and rules to create AI 205 00:07:10,760 --> 00:07:12,960 that can actually reason, 206 00:07:12,960 --> 00:07:15,880 make decisions based on predefined parameters. 207 00:07:15,880 --> 00:07:17,880 So it's more like setting up instructions 208 00:07:17,880 --> 00:07:19,440 for the AI to follow, 209 00:07:19,440 --> 00:07:20,920 rather than having it learn on its own. 210 00:07:20,920 --> 00:07:23,480 Exactly, and the guide makes the point of saying, 211 00:07:23,480 --> 00:07:25,080 you don't have to be an expert 212 00:07:25,080 --> 00:07:28,720 in both machine learning and AI logic to be AI competent. 213 00:07:28,720 --> 00:07:31,240 It's more about understanding the basics of how they work 214 00:07:31,240 --> 00:07:32,080 and how they're used, 215 00:07:32,080 --> 00:07:33,920 how they show up in different applications. 216 00:07:33,920 --> 00:07:35,440 Okay, that's a relief, 217 00:07:35,440 --> 00:07:37,760 because it feels like there's so much to learn, 218 00:07:37,760 --> 00:07:40,800 but the guide actually breaks down AI competency 219 00:07:40,800 --> 00:07:42,640 into four main levels, right? 220 00:07:42,640 --> 00:07:44,720 It's not like you're either competent or you're not. 221 00:07:44,720 --> 00:07:46,680 That's right, there's fluency, proficiency, 222 00:07:46,680 --> 00:07:48,640 expertise, and mastery. 223 00:07:48,640 --> 00:07:51,000 Okay, so walk me through those. 224 00:07:51,000 --> 00:07:54,560 What does it mean to be, let's say, fluent in AI? 225 00:07:54,560 --> 00:07:56,720 So think about it like being able to hold 226 00:07:56,720 --> 00:07:59,560 a basic conversation in another language. 227 00:07:59,560 --> 00:08:00,720 You might not be fluent enough 228 00:08:00,720 --> 00:08:02,680 to write a novel in that language, 229 00:08:02,680 --> 00:08:05,560 but you can understand the gist of what someone's saying. 230 00:08:05,560 --> 00:08:08,080 You can communicate your basic needs. 231 00:08:08,080 --> 00:08:12,080 In AI terms, fluency means you understand the core concepts. 232 00:08:12,080 --> 00:08:14,120 You can follow conversations about AI, 233 00:08:14,120 --> 00:08:17,720 and maybe you can even use some simple AI-powered tools. 234 00:08:17,720 --> 00:08:19,080 You're comfortable, basically. 235 00:08:19,080 --> 00:08:20,480 So it's like the entry level. 236 00:08:20,480 --> 00:08:22,360 For anyone who wants to just be comfortable 237 00:08:22,360 --> 00:08:23,560 in this new world that's coming. 238 00:08:23,560 --> 00:08:26,280 Exactly, and then you move up to proficiency 239 00:08:26,280 --> 00:08:29,240 where you're actually able to use AI tools and techniques 240 00:08:29,240 --> 00:08:31,560 to solve problems and achieve specific outcomes 241 00:08:31,560 --> 00:08:33,800 in your work or even in your personal life. 242 00:08:33,800 --> 00:08:35,680 So it's moving beyond just understanding 243 00:08:35,680 --> 00:08:38,440 to actually applying, doing stuff with AI. 244 00:08:38,440 --> 00:08:40,040 Right, and then we have expertise, 245 00:08:40,040 --> 00:08:41,840 and this is where things get a little more technical. 246 00:08:41,840 --> 00:08:43,920 This is analyzing, adapting, 247 00:08:43,920 --> 00:08:45,840 maybe even modifying these technologies. 248 00:08:45,840 --> 00:08:47,560 So this is for the people who are actually 249 00:08:47,560 --> 00:08:49,120 working with AI professionally, 250 00:08:49,120 --> 00:08:51,080 developing solutions, implementing things. 251 00:08:51,080 --> 00:08:53,320 Exactly, and then of course there's mastery. 252 00:08:53,320 --> 00:08:56,640 These are the AI gurus, the researchers, the developers, 253 00:08:56,640 --> 00:09:00,440 the real innovators pushing the boundaries 254 00:09:00,440 --> 00:09:01,680 of what's even possible. 255 00:09:01,680 --> 00:09:03,480 They're leading the charge, basically. 256 00:09:03,480 --> 00:09:04,720 Writing the algorithms, 257 00:09:04,720 --> 00:09:06,600 building the next generation of systems. 258 00:09:06,600 --> 00:09:08,640 Exactly, and one of the things that I think 259 00:09:08,640 --> 00:09:10,720 is really valuable about this guide is 260 00:09:10,720 --> 00:09:13,480 they actually give you real world examples 261 00:09:13,480 --> 00:09:15,760 of how these different competency levels 262 00:09:15,760 --> 00:09:17,680 play out in different professions. 263 00:09:17,680 --> 00:09:20,160 They call them role profiles, which is kind of neat. 264 00:09:20,160 --> 00:09:21,960 Okay, yeah, let's dive into some of those. 265 00:09:21,960 --> 00:09:23,720 Because I think that will really help our listeners 266 00:09:23,720 --> 00:09:26,240 understand how this is relevant to them. 267 00:09:26,240 --> 00:09:27,080 Yeah. 268 00:09:27,080 --> 00:09:28,320 To their own lives, to their careers. 269 00:09:28,320 --> 00:09:29,800 It's one thing to talk about it abstractly, 270 00:09:29,800 --> 00:09:31,440 but let's get concrete. 271 00:09:31,440 --> 00:09:32,800 Sounds good. 272 00:09:32,800 --> 00:09:34,640 Let's start with what they call the novice user. 273 00:09:34,640 --> 00:09:36,480 This could be anyone, really. 274 00:09:36,480 --> 00:09:39,880 A student using AI for research to a retail worker 275 00:09:39,880 --> 00:09:42,560 who is using AI-powered tools on the job, 276 00:09:42,560 --> 00:09:44,360 maybe without even realizing it. 277 00:09:44,360 --> 00:09:47,560 So for them, fluency is probably the goal, right? 278 00:09:47,560 --> 00:09:50,440 Enough understanding to use the tools comfortably. 279 00:09:50,440 --> 00:09:53,720 To participate in conversations about AI. 280 00:09:53,720 --> 00:09:55,080 To not feel lost. 281 00:09:55,080 --> 00:09:57,760 Exactly, they don't need to be coding algorithms, 282 00:09:57,760 --> 00:09:59,880 but they should have a grasp of the basics, 283 00:09:59,880 --> 00:10:02,960 how it works, how it's impacting their world. 284 00:10:02,960 --> 00:10:03,880 Makes sense. 285 00:10:03,880 --> 00:10:05,320 Okay, so let's step up. 286 00:10:05,320 --> 00:10:07,760 Who are the AI-informed decision makers 287 00:10:07,760 --> 00:10:09,480 and what do they need? 288 00:10:09,480 --> 00:10:11,720 What kind of competency are we talking about there? 289 00:10:11,720 --> 00:10:13,800 So these are people who need to make decisions 290 00:10:13,800 --> 00:10:16,600 about how AI is implemented and used. 291 00:10:16,600 --> 00:10:18,120 Even if they're not the ones building 292 00:10:18,120 --> 00:10:19,640 the technology themselves. 293 00:10:19,640 --> 00:10:21,920 Think about business leaders who are trying to decide 294 00:10:21,920 --> 00:10:25,320 how to ethically integrate AI into their company. 295 00:10:25,320 --> 00:10:27,520 Or, I don't know, policy makers who are wrestling 296 00:10:27,520 --> 00:10:30,440 with the implications of AI on society as a whole. 297 00:10:30,440 --> 00:10:32,120 So they need a deeper understanding 298 00:10:32,120 --> 00:10:33,440 than just that novice user. 299 00:10:33,440 --> 00:10:36,040 They can't just blindly trust the technology. 300 00:10:36,040 --> 00:10:38,000 They have to be able to evaluate it, see the risks, 301 00:10:38,000 --> 00:10:39,560 see the benefits, think it through. 302 00:10:39,560 --> 00:10:43,000 Right, they need a solid grasp of responsible use, 303 00:10:43,000 --> 00:10:45,320 how to identify data limitations. 304 00:10:45,320 --> 00:10:47,360 They need to be pretty good at data analysis, 305 00:10:47,360 --> 00:10:50,400 so they understand the information that AI is generating. 306 00:10:50,400 --> 00:10:52,280 And they should have at least some fluency 307 00:10:52,280 --> 00:10:54,240 in machine learning and AI logic, 308 00:10:54,240 --> 00:10:56,000 just to understand the different approaches 309 00:10:56,000 --> 00:10:57,560 to be able to talk the talk. 310 00:10:57,560 --> 00:11:00,880 Wow, okay, that's a lot to have on your plate. 311 00:11:00,880 --> 00:11:02,720 It's really a well-rounded understanding, 312 00:11:02,720 --> 00:11:04,840 it sounds like, to make these big decisions. 313 00:11:04,840 --> 00:11:05,680 It is, it is. 314 00:11:05,680 --> 00:11:08,280 And that kind of brings us to another really important role, 315 00:11:08,280 --> 00:11:11,040 which is what they call the AI navigator. 316 00:11:11,040 --> 00:11:12,560 Okay, AI navigator. 317 00:11:12,560 --> 00:11:13,760 Who are these folks? 318 00:11:13,760 --> 00:11:14,880 What are they navigating? 319 00:11:14,880 --> 00:11:17,840 Think of them as the guides, the mentors, 320 00:11:17,840 --> 00:11:21,240 the people who help others develop AI competency. 321 00:11:21,240 --> 00:11:23,120 They could be teachers who are helping students 322 00:11:23,120 --> 00:11:26,960 understand AI concepts, or workforce development professionals 323 00:11:26,960 --> 00:11:29,640 who are advising clients on, I don't know, 324 00:11:29,640 --> 00:11:32,920 AI related careers, career paths, 325 00:11:32,920 --> 00:11:34,040 how to get into this world. 326 00:11:34,040 --> 00:11:37,120 So they're kind of like AI ambassadors, bridging the gap. 327 00:11:37,120 --> 00:11:38,160 That's a great way to put it. 328 00:11:38,160 --> 00:11:39,680 And to do that effectively, 329 00:11:39,680 --> 00:11:42,720 they need a solid understanding of responsible use. 330 00:11:42,720 --> 00:11:45,360 How to identify those data limitations, 331 00:11:45,360 --> 00:11:48,720 fluency and data analysis, machine learning, AI logic, 332 00:11:48,720 --> 00:11:50,360 they need to be able to guide people 333 00:11:50,360 --> 00:11:52,680 even if they're not developing the systems themselves. 334 00:11:52,680 --> 00:11:54,080 Right, they need to speak the language. 335 00:11:54,080 --> 00:11:55,760 Makes sense that they need a strong foundation 336 00:11:55,760 --> 00:11:56,720 in all of those areas. 337 00:11:56,720 --> 00:11:58,960 Okay, what about people who are actually, 338 00:11:58,960 --> 00:12:01,000 already using AI in their jobs? 339 00:12:01,000 --> 00:12:02,480 What level do they need to be at? 340 00:12:02,480 --> 00:12:06,840 So the guide calls those folks AI users on the job. 341 00:12:06,840 --> 00:12:09,240 And it's a huge e-range of professions, 342 00:12:09,240 --> 00:12:12,160 accountants, marketers, healthcare professionals, 343 00:12:12,160 --> 00:12:14,000 engineers, you name it. 344 00:12:14,000 --> 00:12:17,640 These are individuals who are actually using AI tools 345 00:12:17,640 --> 00:12:20,880 to make their work more efficient, more accurate, 346 00:12:20,880 --> 00:12:23,080 to give them insights they wouldn't have otherwise. 347 00:12:23,080 --> 00:12:24,960 So they need to be comfortable enough with it 348 00:12:24,960 --> 00:12:26,720 to not just use the tools, 349 00:12:26,720 --> 00:12:29,080 but also understand the limitations, 350 00:12:29,080 --> 00:12:31,080 the biases that might be baked in 351 00:12:31,080 --> 00:12:32,680 to use them with their eyes open. 352 00:12:32,680 --> 00:12:34,640 Exactly, they should be proficient 353 00:12:34,640 --> 00:12:37,840 in responsible use, identifying those limitations 354 00:12:37,840 --> 00:12:40,320 and fluent in data analysis 355 00:12:40,320 --> 00:12:42,360 to understand the data that they're working with. 356 00:12:42,360 --> 00:12:43,520 So the key is that balance, 357 00:12:43,520 --> 00:12:45,200 being able to leverage the power, 358 00:12:45,200 --> 00:12:47,680 but also being critical, being aware. 359 00:12:47,680 --> 00:12:48,520 You got it. 360 00:12:48,520 --> 00:12:49,960 And as we move further along, 361 00:12:49,960 --> 00:12:52,520 we come to the AI-empowered specialists. 362 00:12:52,520 --> 00:12:53,360 These are the individuals 363 00:12:53,360 --> 00:12:54,720 who are really pushing the boundaries, 364 00:12:54,720 --> 00:12:57,400 using AI to do things that weren't possible before. 365 00:12:57,400 --> 00:12:59,520 So we're talking about like scientists using AI 366 00:12:59,520 --> 00:13:02,200 to analyze massive data sets to find, 367 00:13:02,200 --> 00:13:04,280 I don't know, breakthroughs in medicine or climate change, 368 00:13:04,280 --> 00:13:06,520 engineers designing self-driving cars, 369 00:13:06,520 --> 00:13:07,440 that kind of stuff. 370 00:13:07,440 --> 00:13:08,280 Exactly. 371 00:13:08,280 --> 00:13:10,560 And these folks need a really deep understanding 372 00:13:10,560 --> 00:13:12,360 of responsible use. 373 00:13:12,360 --> 00:13:15,280 How to identify data limitations, 374 00:13:15,280 --> 00:13:17,880 proficiency in data analysis, 375 00:13:17,880 --> 00:13:21,960 at least fluency in machine learning and AI logic, 376 00:13:21,960 --> 00:13:25,000 to really be able to leverage these technologies effectively. 377 00:13:25,000 --> 00:13:26,560 Okay, so they're not necessarily 378 00:13:26,560 --> 00:13:28,840 building the systems themselves, 379 00:13:28,840 --> 00:13:31,480 but they're using them in sophisticated ways 380 00:13:31,480 --> 00:13:33,000 to do really cool stuff. 381 00:13:33,000 --> 00:13:33,840 That's right. 382 00:13:33,840 --> 00:13:36,320 And then of course we have the future generation, 383 00:13:36,320 --> 00:13:39,040 the people who are studying for tech careers right now, 384 00:13:39,040 --> 00:13:41,360 just starting their first jobs in this field, 385 00:13:41,360 --> 00:13:45,000 the guide calls them the AI Future Workforce, 386 00:13:45,000 --> 00:13:45,920 which I kind of like. 387 00:13:45,920 --> 00:13:47,240 Yeah, it's a good name. 388 00:13:47,240 --> 00:13:48,560 These are the people who are gonna be 389 00:13:48,560 --> 00:13:49,960 shaping the future of all this. 390 00:13:49,960 --> 00:13:51,720 So they need a really strong foundation 391 00:13:51,720 --> 00:13:53,360 across all those areas, I'd imagine. 392 00:13:53,360 --> 00:13:54,840 Absolutely, they need to be comfortable 393 00:13:54,840 --> 00:13:57,240 with all five of those key areas. 394 00:13:57,240 --> 00:13:59,720 And ideally they should be striving for expertise 395 00:13:59,720 --> 00:14:01,960 in each of them to be really successful, 396 00:14:01,960 --> 00:14:04,400 because this field is moving so fast. 397 00:14:04,400 --> 00:14:06,920 It's exciting to think about the potential they have, 398 00:14:06,920 --> 00:14:08,360 the problems they might solve, 399 00:14:08,360 --> 00:14:09,800 the things they might create. 400 00:14:09,800 --> 00:14:10,640 It is. 401 00:14:10,640 --> 00:14:14,960 And lastly, we have the AI Expert Workforce. 402 00:14:14,960 --> 00:14:18,760 These are the leaders, the innovators, the developers, 403 00:14:18,760 --> 00:14:20,840 the data scientists, the folks who are building 404 00:14:20,840 --> 00:14:23,440 and managing the systems that we all rely on 405 00:14:23,440 --> 00:14:26,840 right now, today, and the ones we'll rely on in the future. 406 00:14:26,840 --> 00:14:29,080 They're the ones pushing the boundaries of what's possible, 407 00:14:29,080 --> 00:14:31,360 constantly innovating, driving the field forward. 408 00:14:31,360 --> 00:14:32,360 Exactly. 409 00:14:32,360 --> 00:14:35,840 And these folks need that mastery level competency 410 00:14:35,840 --> 00:14:38,160 across all five areas. 411 00:14:38,160 --> 00:14:41,400 They need deep understanding of AI theory and practice 412 00:14:41,400 --> 00:14:44,480 to create ethical, effective, robust solutions. 413 00:14:44,480 --> 00:14:46,160 They're the ones building it all. 414 00:14:46,160 --> 00:14:49,040 It's really amazing how this guide outlines 415 00:14:49,040 --> 00:14:51,640 these different levels and shows how they apply 416 00:14:51,640 --> 00:14:52,800 to all these different roles. 417 00:14:52,800 --> 00:14:55,520 It really helps to see how AI is impacting, 418 00:14:55,520 --> 00:14:58,440 I mean, every corner of society and how individuals, 419 00:14:58,440 --> 00:15:00,680 no matter what they do, can find their place 420 00:15:00,680 --> 00:15:03,440 within this landscape that's changing so quickly. 421 00:15:03,440 --> 00:15:04,280 It really does. 422 00:15:04,280 --> 00:15:05,640 And in the next part of our deep dive, 423 00:15:05,640 --> 00:15:07,680 we're going to explore some specific examples 424 00:15:07,680 --> 00:15:10,080 of how AI is being used in different industries 425 00:15:10,080 --> 00:15:12,960 and how you can start developing your own AI competency 426 00:15:12,960 --> 00:15:14,680 no matter where you're starting from. 427 00:15:14,680 --> 00:15:15,560 So stay tuned. 428 00:15:15,560 --> 00:15:16,760 There's lots more to come. 429 00:15:16,760 --> 00:15:17,560 Can't wait. 430 00:15:17,560 --> 00:15:19,400 Welcome back to the deep dive. 431 00:15:19,400 --> 00:15:21,080 We kind of set the stage there, right? 432 00:15:21,080 --> 00:15:21,640 Yeah. 433 00:15:21,640 --> 00:15:25,720 We mapped out, I guess, those different levels of AI 434 00:15:25,720 --> 00:15:29,080 competency and how they fit into these various roles 435 00:15:29,080 --> 00:15:32,400 that people are playing and will be playing even more. 436 00:15:32,400 --> 00:15:34,120 Now I think it's time to get practical, 437 00:15:34,120 --> 00:15:38,720 to actually look at how AI is being used out there 438 00:15:38,720 --> 00:15:41,360 in the real world across different industries. 439 00:15:41,360 --> 00:15:45,120 It really is, it's mind blowing how many different applications 440 00:15:45,120 --> 00:15:48,320 there are already, how versatile this technology is. 441 00:15:48,320 --> 00:15:50,320 OK, so let's start with health care, 442 00:15:50,320 --> 00:15:52,720 because I think that's something that everyone is, well, 443 00:15:52,720 --> 00:15:54,120 a little bit curious about. 444 00:15:54,120 --> 00:15:55,880 How's AI changing medicine? 445 00:15:55,880 --> 00:15:59,640 Yeah, it's already having a huge E impact, everything 446 00:15:59,640 --> 00:16:03,520 from diagnosing diseases to personalizing treatment plans. 447 00:16:03,520 --> 00:16:05,560 Yeah, I've seen articles about AI being 448 00:16:05,560 --> 00:16:10,280 used to analyze medical images, like x-rays, scans, 449 00:16:10,280 --> 00:16:12,360 to help doctors spot things that they might miss. 450 00:16:12,360 --> 00:16:13,120 That's right. 451 00:16:13,120 --> 00:16:15,920 AI can process these huge amounts of visual data 452 00:16:15,920 --> 00:16:17,760 way faster than humans can, and they're 453 00:16:17,760 --> 00:16:19,440 getting really, really good at detecting 454 00:16:19,440 --> 00:16:22,560 these subtle patterns, things that a human eye might overlook. 455 00:16:22,560 --> 00:16:27,120 It's like having a second set of eyes, but with superhuman vision. 456 00:16:27,120 --> 00:16:28,880 And it's not just about diagnosis, 457 00:16:28,880 --> 00:16:31,880 it's also being used to predict patient outcomes. 458 00:16:31,880 --> 00:16:34,680 So helping doctors understand which treatments 459 00:16:34,680 --> 00:16:37,680 are most likely to work for a specific individual. 460 00:16:37,680 --> 00:16:38,880 Exactly, yeah. 461 00:16:38,880 --> 00:16:41,720 AI can take into account all sorts of factors, 462 00:16:41,720 --> 00:16:45,640 like a patient's medical history, their genetics, 463 00:16:45,640 --> 00:16:48,880 their lifestyle, all this stuff to come up 464 00:16:48,880 --> 00:16:50,320 with more personalized recommendations. 465 00:16:50,320 --> 00:16:52,520 It's like we've always talked about personalized medicine. 466 00:16:52,520 --> 00:16:54,280 This could be a way to actually achieve that, 467 00:16:54,280 --> 00:16:56,760 to move away from this one-size-fits-all model 468 00:16:56,760 --> 00:16:59,200 to something that's really tailored to each person. 469 00:16:59,200 --> 00:17:01,080 Yeah, I mean, it really could revolutionize 470 00:17:01,080 --> 00:17:02,480 how we approach health care. 471 00:17:02,480 --> 00:17:04,880 And let's not forget about drug discovery. 472 00:17:04,880 --> 00:17:08,840 I mean, AI is being used to sift through these massive data 473 00:17:08,840 --> 00:17:12,160 bases of molecules to find potential candidates 474 00:17:12,160 --> 00:17:13,120 for new medicines. 475 00:17:13,120 --> 00:17:13,920 That's incredible. 476 00:17:13,920 --> 00:17:16,000 It could speed up the whole drug development process, 477 00:17:16,000 --> 00:17:19,400 which traditionally takes years, right? 478 00:17:19,400 --> 00:17:21,000 And billions of dollars. 479 00:17:21,000 --> 00:17:23,600 Yeah, it's already happening, though. 480 00:17:23,600 --> 00:17:25,920 There are AI-powered platforms that 481 00:17:25,920 --> 00:17:30,280 can analyze scientific literature, clinical trial data, 482 00:17:30,280 --> 00:17:34,440 even genetic information to try to identify these promising new 483 00:17:34,440 --> 00:17:35,200 compounds. 484 00:17:35,200 --> 00:17:37,840 Wow, that's really game-changing stuff. 485 00:17:37,840 --> 00:17:39,760 OK, so what about finance? 486 00:17:39,760 --> 00:17:42,040 I know AI is being used there, too, in a big way. 487 00:17:42,040 --> 00:17:43,120 Oh, yeah, absolutely. 488 00:17:43,120 --> 00:17:46,280 It's transforming how financial institutions operate. 489 00:17:46,280 --> 00:17:50,480 Everything from detecting fraud to managing risk, 490 00:17:50,480 --> 00:17:52,920 even providing personalized investment advice. 491 00:17:52,920 --> 00:17:55,840 I bet a lot of people are familiar with those AI-powered chat 492 00:17:55,840 --> 00:17:59,000 bots that banks and credit card companies 493 00:17:59,000 --> 00:18:00,600 use for customer service. 494 00:18:00,600 --> 00:18:03,040 Yeah, they can answer basic questions, 495 00:18:03,040 --> 00:18:04,960 help you reset your password, even offer 496 00:18:04,960 --> 00:18:06,800 some basic financial guidance. 497 00:18:06,800 --> 00:18:09,520 It's interesting how that's changing the customer experience, 498 00:18:09,520 --> 00:18:11,480 making these more convenient, more accessible. 499 00:18:11,480 --> 00:18:13,040 But it's also working behind the scenes. 500 00:18:13,040 --> 00:18:14,600 You've got these AI algorithms that 501 00:18:14,600 --> 00:18:16,800 are constantly monitoring transactions, 502 00:18:16,800 --> 00:18:18,560 looking for fraudulent activity. 503 00:18:18,560 --> 00:18:19,400 Yeah, that's a big deal. 504 00:18:19,400 --> 00:18:22,440 I mean, financial fraud costs, what, billions of dollars 505 00:18:22,440 --> 00:18:23,080 every year? 506 00:18:23,080 --> 00:18:24,120 It does, it does. 507 00:18:24,120 --> 00:18:27,680 And AI is getting really good at spotting those patterns, 508 00:18:27,680 --> 00:18:29,360 things that humans might miss. 509 00:18:29,360 --> 00:18:31,560 It's like having a superpower detective watching 510 00:18:31,560 --> 00:18:32,400 over your accounts. 511 00:18:32,400 --> 00:18:33,120 Exactly. 512 00:18:33,120 --> 00:18:35,360 And it's being used to assess risk 513 00:18:35,360 --> 00:18:36,960 to make investment decisions. 514 00:18:36,960 --> 00:18:40,280 So hedge funds, investment banks, 515 00:18:40,280 --> 00:18:43,280 they're using AI to analyze market trends, 516 00:18:43,280 --> 00:18:45,000 predict which stocks are going to go up, 517 00:18:45,000 --> 00:18:46,480 which ones are going to tank. 518 00:18:46,480 --> 00:18:49,760 Yeah, it can process all that data, news articles, 519 00:18:49,760 --> 00:18:52,960 social media sentiment, economic indicators, all of it, 520 00:18:52,960 --> 00:18:55,400 to try to figure out where the opportunities are, 521 00:18:55,400 --> 00:18:56,440 where the risks are. 522 00:18:56,440 --> 00:18:58,800 It sounds like AI is becoming pretty much indispensable 523 00:18:58,800 --> 00:19:00,600 for anyone who's working in finance. 524 00:19:00,600 --> 00:19:02,720 It's definitely changing the game. 525 00:19:02,720 --> 00:19:04,000 OK, so let's shift gears. 526 00:19:04,000 --> 00:19:05,560 Let's talk about manufacturing. 527 00:19:05,560 --> 00:19:07,760 Yeah, this is one that I'm really curious about. 528 00:19:07,760 --> 00:19:10,280 How's AI being used on the factory floor? 529 00:19:10,280 --> 00:19:11,600 Oh, in so many ways. 530 00:19:11,600 --> 00:19:13,800 It's optimizing production lines, 531 00:19:13,800 --> 00:19:17,760 improving quality control, even predicting equipment failures. 532 00:19:17,760 --> 00:19:21,760 So making factories more efficient, safer, more productive. 533 00:19:21,760 --> 00:19:22,560 Exactly. 534 00:19:22,560 --> 00:19:25,400 You're seeing more and more AI-powered robots 535 00:19:25,400 --> 00:19:29,360 taking over those tasks that are repetitive 536 00:19:29,360 --> 00:19:30,840 or dangerous for humans. 537 00:19:30,840 --> 00:19:33,320 Yeah, I imagine that frees up human workers 538 00:19:33,320 --> 00:19:37,800 to do, well, the more complex stuff, the more creative stuff. 539 00:19:37,800 --> 00:19:38,760 That's the idea. 540 00:19:38,760 --> 00:19:42,440 And AI is also being used to analyze sensor data from machines 541 00:19:42,440 --> 00:19:44,360 to predict when they might break down. 542 00:19:44,360 --> 00:19:45,080 Wow. 543 00:19:45,080 --> 00:19:48,040 So instead of waiting for a machine to actually fail 544 00:19:48,040 --> 00:19:50,040 and then having to scramble to fix it, 545 00:19:50,040 --> 00:19:52,360 you can proactively schedule maintenance, 546 00:19:52,360 --> 00:19:53,440 avoid all that downtime. 547 00:19:53,440 --> 00:19:54,120 Exactly. 548 00:19:54,120 --> 00:19:57,120 It's all about optimizing, using AI to optimize 549 00:19:57,120 --> 00:19:58,440 every step of the process. 550 00:19:58,440 --> 00:20:01,000 It really sounds like a game changer for this whole industry. 551 00:20:01,000 --> 00:20:01,600 It is. 552 00:20:01,600 --> 00:20:03,600 And let's not forget, transportation, AI 553 00:20:03,600 --> 00:20:05,040 is playing a huge role there, too. 554 00:20:05,040 --> 00:20:07,680 Self-driving cars, traffic management systems. 555 00:20:07,680 --> 00:20:09,120 Yeah, self-driving cars. 556 00:20:09,120 --> 00:20:11,400 Definitely one of the most talked about applications of AI. 557 00:20:11,400 --> 00:20:11,880 For sure. 558 00:20:11,880 --> 00:20:13,520 They're still in development, of course. 559 00:20:13,520 --> 00:20:17,680 But they have the potential to really change how we get around. 560 00:20:17,680 --> 00:20:21,560 Make transportation safer, more efficient, more accessible. 561 00:20:21,560 --> 00:20:24,400 I can imagine a future where traffic accidents 562 00:20:24,400 --> 00:20:25,680 are drastically reduced. 563 00:20:25,680 --> 00:20:28,360 You've got cars that are driven by AI 564 00:20:28,360 --> 00:20:30,880 that can react way faster than humans can. 565 00:20:30,880 --> 00:20:31,920 That's the hope. 566 00:20:31,920 --> 00:20:35,040 And even if we're not quite there yet with fully autonomous 567 00:20:35,040 --> 00:20:38,800 vehicles, AI is already assisting drivers, right? 568 00:20:38,800 --> 00:20:42,440 Things like lane assist, adaptive cruise control, 569 00:20:42,440 --> 00:20:44,000 automatic emergency braking. 570 00:20:44,000 --> 00:20:47,520 So it's making cars safer even before they're fully self-driving. 571 00:20:47,520 --> 00:20:48,400 Exactly. 572 00:20:48,400 --> 00:20:53,920 And on a bigger level, AI is being used to manage traffic flow 573 00:20:53,920 --> 00:20:54,720 in cities. 574 00:20:54,720 --> 00:20:57,920 Yeah, I've heard about those smart traffic lights that 575 00:20:57,920 --> 00:21:03,000 use AI to adapt to traffic conditions in real time. 576 00:21:03,000 --> 00:21:03,720 That's right. 577 00:21:03,720 --> 00:21:05,640 They can adjust the timing of the lights 578 00:21:05,640 --> 00:21:08,400 to optimize traffic flow, reduce congestion. 579 00:21:08,400 --> 00:21:10,400 That sounds like AI could play a big role in making 580 00:21:10,400 --> 00:21:12,440 our cities more livable, more sustainable. 581 00:21:12,440 --> 00:21:13,520 It really could. 582 00:21:13,520 --> 00:21:15,480 And one last industry I wanted to mention, 583 00:21:15,480 --> 00:21:18,120 just because it's interesting, it's one you might not expect, 584 00:21:18,120 --> 00:21:21,480 creative fields, music, art, writing. 585 00:21:21,480 --> 00:21:21,960 Oh, wow. 586 00:21:21,960 --> 00:21:23,800 Yeah, I actually hadn't thought about that. 587 00:21:23,800 --> 00:21:26,200 How is AI being used in those areas? 588 00:21:26,200 --> 00:21:27,160 It's pretty new. 589 00:21:27,160 --> 00:21:29,840 But AI is actually being used to generate new melodies, 590 00:21:29,840 --> 00:21:33,240 to create really stunning visuals, even to write scripts. 591 00:21:33,240 --> 00:21:38,080 So AI is becoming a tool for artists, for creators. 592 00:21:38,080 --> 00:21:38,720 Exactly. 593 00:21:38,720 --> 00:21:40,520 And it's pushing the boundaries, sparking 594 00:21:40,520 --> 00:21:42,480 all these really interesting conversations 595 00:21:42,480 --> 00:21:45,040 about the nature of art itself. 596 00:21:45,040 --> 00:21:47,600 What does it mean to be creative in this new world? 597 00:21:47,600 --> 00:21:50,240 Yeah, I'm really curious to see how this evolves, 598 00:21:50,240 --> 00:21:53,520 what new forms of expression AI might enable. 599 00:21:53,520 --> 00:21:54,320 It's fascinating. 600 00:21:54,320 --> 00:21:55,000 It really is. 601 00:21:55,000 --> 00:21:58,040 So I mean, as you can see, AI is having a profound impact 602 00:21:58,040 --> 00:22:00,200 on pretty much every industry you can think of. 603 00:22:00,200 --> 00:22:01,840 And this is still early days, right? 604 00:22:01,840 --> 00:22:03,880 I mean, since the beginning, the possibilities 605 00:22:03,880 --> 00:22:05,480 are, well, pretty much endless. 606 00:22:05,480 --> 00:22:08,000 It's mind-blowing to think about what the future holds. 607 00:22:08,000 --> 00:22:09,160 OK. 608 00:22:09,160 --> 00:22:11,440 So now I think it's time to shift gears a little bit 609 00:22:11,440 --> 00:22:15,400 and talk about how our listeners, how anyone really, 610 00:22:15,400 --> 00:22:18,440 can start developing their own AI competency. 611 00:22:18,440 --> 00:22:18,880 Right. 612 00:22:18,880 --> 00:22:21,200 Because I think a lot of people hear AI competency, 613 00:22:21,200 --> 00:22:23,880 and they think, oh, I need a computer science degree. 614 00:22:23,880 --> 00:22:24,400 Yeah. 615 00:22:24,400 --> 00:22:26,080 It can sound intimidating. 616 00:22:26,080 --> 00:22:29,760 But I mean, remember, you don't have to become a coding whiz 617 00:22:29,760 --> 00:22:32,960 to understand and use AI effectively. 618 00:22:32,960 --> 00:22:33,560 Right. 619 00:22:33,560 --> 00:22:34,320 That's right. 620 00:22:34,320 --> 00:22:36,040 There are levels to this. 621 00:22:36,040 --> 00:22:38,600 And everyone can find a place that's right for them. 622 00:22:38,600 --> 00:22:38,880 OK. 623 00:22:38,880 --> 00:22:41,880 So what are some practical steps people can take 624 00:22:41,880 --> 00:22:43,960 to get started on their AI journey, 625 00:22:43,960 --> 00:22:45,240 whatever that looks like for them? 626 00:22:45,240 --> 00:22:47,960 Well, I think first and foremost, just assess 627 00:22:47,960 --> 00:22:50,840 your current digital literacy skills. 628 00:22:50,840 --> 00:22:51,920 What we were talking about earlier. 629 00:22:51,920 --> 00:22:53,160 That's the foundation. 630 00:22:53,160 --> 00:22:55,640 You got to be comfortable with computers, with the internet, 631 00:22:55,640 --> 00:22:57,760 before you can even start thinking about AI. 632 00:22:57,760 --> 00:22:58,440 Exactly. 633 00:22:58,440 --> 00:23:00,280 If you need to brush up on the basics, 634 00:23:00,280 --> 00:23:04,520 I mean, there are TONS of free resources available online 635 00:23:04,520 --> 00:23:05,360 at local libraries. 636 00:23:05,360 --> 00:23:06,840 You don't have to spend a lot of money. 637 00:23:06,840 --> 00:23:07,120 OK. 638 00:23:07,120 --> 00:23:09,680 So you've got that foundation in place. 639 00:23:09,680 --> 00:23:10,760 Now what? 640 00:23:10,760 --> 00:23:13,040 How do you start exploring this world of AI? 641 00:23:13,040 --> 00:23:14,160 What are the good resources? 642 00:23:14,160 --> 00:23:15,800 Well, there's so much out there. 643 00:23:15,800 --> 00:23:18,520 Online courses, articles, videos, podcasts. 644 00:23:18,520 --> 00:23:19,600 I mean, you name it. 645 00:23:19,600 --> 00:23:21,120 I'd recommend checking out platforms 646 00:23:21,120 --> 00:23:23,440 like Coursera, EDX, Khan Academy. 647 00:23:23,440 --> 00:23:27,240 They've got a huge range of AI-related courses, 648 00:23:27,240 --> 00:23:30,680 from introductory stuff to more advanced topics. 649 00:23:30,680 --> 00:23:33,360 And don't forget about the resources that are offered by, 650 00:23:33,360 --> 00:23:35,880 well, I mean, the tech giants themselves. 651 00:23:35,880 --> 00:23:39,600 Google, Microsoft, they have these free online courses, 652 00:23:39,600 --> 00:23:40,720 tutorials. 653 00:23:40,720 --> 00:23:43,640 You can learn about AI concepts, machine learning, 654 00:23:43,640 --> 00:23:45,000 even some basic coding. 655 00:23:45,000 --> 00:23:46,160 Yeah, that's a great point. 656 00:23:46,160 --> 00:23:49,080 Another way to learn is just by playing around, 657 00:23:49,080 --> 00:23:51,800 experimenting with different AI tools and applications. 658 00:23:51,800 --> 00:23:56,160 Yeah, there are a ton of free AI tools available online. 659 00:23:56,160 --> 00:23:58,320 You can get hands-on experience, see how it works. 660 00:23:58,320 --> 00:24:01,280 Like, for example, you could try out a language generation 661 00:24:01,280 --> 00:24:05,400 tool, something like JetGPT, or an image generation tool, 662 00:24:05,400 --> 00:24:06,320 like DLE. 663 00:24:06,320 --> 00:24:06,880 Right. 664 00:24:06,880 --> 00:24:09,240 Just playing around with those will give you a better feel 665 00:24:09,240 --> 00:24:10,400 for what AI can do. 666 00:24:10,400 --> 00:24:11,120 Yeah. 667 00:24:11,120 --> 00:24:13,880 And don't be afraid to ask questions, to reach out. 668 00:24:13,880 --> 00:24:17,480 Find people who are further along, who can help you out. 669 00:24:17,480 --> 00:24:20,040 There are so many online communities, forums, 670 00:24:20,040 --> 00:24:22,200 where you can connect with other people who are also 671 00:24:22,200 --> 00:24:23,240 learning about AI. 672 00:24:23,240 --> 00:24:23,800 Right. 673 00:24:23,800 --> 00:24:25,880 It's always easier when you're learning together, 674 00:24:25,880 --> 00:24:27,360 sharing those experiences. 675 00:24:27,360 --> 00:24:28,000 It is. 676 00:24:28,000 --> 00:24:28,400 It is. 677 00:24:28,400 --> 00:24:31,160 And remember, learning about AI is not a one-time thing. 678 00:24:31,160 --> 00:24:32,720 It's an ongoing journey. 679 00:24:32,720 --> 00:24:33,240 Yeah. 680 00:24:33,240 --> 00:24:34,440 You got to stay curious. 681 00:24:34,440 --> 00:24:35,800 Keep exploring. 682 00:24:35,800 --> 00:24:38,880 Be willing to adapt, because this technology is changing 683 00:24:38,880 --> 00:24:39,640 all the time. 684 00:24:39,640 --> 00:24:40,240 Exactly. 685 00:24:40,240 --> 00:24:42,640 That's what that growth mindset is all about. 686 00:24:42,640 --> 00:24:44,440 Embrace the unknown. 687 00:24:44,440 --> 00:24:46,240 Be excited about what's possible. 688 00:24:46,240 --> 00:24:48,280 I think that's a great place to leave it for now. 689 00:24:48,280 --> 00:24:48,880 Yeah. 690 00:24:48,880 --> 00:24:50,240 In the next part of our deep dive, 691 00:24:50,240 --> 00:24:52,480 we'll share some specific resources, some tools that 692 00:24:52,480 --> 00:24:55,080 can really help you develop your AI competency, 693 00:24:55,080 --> 00:24:56,720 no matter where you're starting from. 694 00:24:56,720 --> 00:24:57,720 So stick around. 695 00:24:57,720 --> 00:24:59,600 There's a lot more to come. 696 00:24:59,600 --> 00:25:01,320 Welcome back to the deep dive. 697 00:25:01,320 --> 00:25:02,960 Yeah, it's been quite a journey. 698 00:25:02,960 --> 00:25:03,840 It has, hasn't it? 699 00:25:03,840 --> 00:25:07,600 We've covered, I mean, a lot of ground in this AI competency 700 00:25:07,600 --> 00:25:08,120 deep dive. 701 00:25:08,120 --> 00:25:08,720 We have. 702 00:25:08,720 --> 00:25:11,560 We explored what AI competency even means. 703 00:25:11,560 --> 00:25:14,400 And we saw how AI is actually being used out there, 704 00:25:14,400 --> 00:25:16,000 changing all these different industries. 705 00:25:16,000 --> 00:25:17,480 Yeah, exactly. 706 00:25:17,480 --> 00:25:20,480 And now, W, I think it's time to give you some, 707 00:25:20,480 --> 00:25:23,520 well, some practical stuff, some resources, some tools 708 00:25:23,520 --> 00:25:27,760 that you can actually use to start your own AI competency 709 00:25:27,760 --> 00:25:28,280 journey. 710 00:25:28,280 --> 00:25:28,760 No matter. 711 00:25:28,760 --> 00:25:30,360 I mean, no matter your background, where 712 00:25:30,360 --> 00:25:32,720 you're starting from, your skill level, whatever it is, 713 00:25:32,720 --> 00:25:34,520 there's something out there for everyone. 714 00:25:34,520 --> 00:25:35,240 OK. 715 00:25:35,240 --> 00:25:38,880 So let's start with, let's say you're at the very beginning, 716 00:25:38,880 --> 00:25:41,840 just starting out on this whole tech journey. 717 00:25:41,840 --> 00:25:44,680 If you're looking to build that foundation, that digital literacy 718 00:25:44,680 --> 00:25:47,480 foundation, there are some fantastic free resources out 719 00:25:47,480 --> 00:25:47,800 there. 720 00:25:47,800 --> 00:25:48,280 Yeah. 721 00:25:48,280 --> 00:25:50,880 One that we recommend all the time is Khan Academy. 722 00:25:50,880 --> 00:25:52,200 Oh, Khan Academy is great. 723 00:25:52,200 --> 00:25:55,560 They've got such a wide range of courses, tutorials. 724 00:25:55,560 --> 00:25:59,160 It's all interactive, so it's not just reading a textbook. 725 00:25:59,160 --> 00:26:00,960 And they cover everything, I mean, 726 00:26:00,960 --> 00:26:03,720 from the very basics of how to use a computer 727 00:26:03,720 --> 00:26:06,360 to internet safety, even coding fundamentals. 728 00:26:06,360 --> 00:26:08,120 Yeah, their lessons are really well done. 729 00:26:08,120 --> 00:26:08,680 They're clear. 730 00:26:08,680 --> 00:26:09,880 They're concise. 731 00:26:09,880 --> 00:26:10,760 They're engaging. 732 00:26:10,760 --> 00:26:13,960 So I think it works for learners of all ages, really. 733 00:26:13,960 --> 00:26:15,000 And if you're looking for something 734 00:26:15,000 --> 00:26:16,800 that's a little more structured, I mean, 735 00:26:16,800 --> 00:26:20,440 Google has this program called Google Digital Garage. 736 00:26:20,440 --> 00:26:21,040 Have you heard of that? 737 00:26:21,040 --> 00:26:21,560 Yeah. 738 00:26:21,560 --> 00:26:23,880 So it's a Fingy online platform, and it's 739 00:26:23,880 --> 00:26:28,200 got courses on a whole bunch of different digital marketing 740 00:26:28,200 --> 00:26:29,360 topics, tech topics. 741 00:26:29,360 --> 00:26:31,240 They even have a specific learning path that's just 742 00:26:31,240 --> 00:26:33,040 for digital skills, which is great. 743 00:26:33,040 --> 00:26:33,640 Yeah. 744 00:26:33,640 --> 00:26:35,720 It's a great way to kind of get up 745 00:26:35,720 --> 00:26:38,760 to speed on those essential skills that honestly are becoming 746 00:26:38,760 --> 00:26:41,440 more and more important in pretty much any job 747 00:26:41,440 --> 00:26:42,680 you can think of these days. 748 00:26:42,680 --> 00:26:43,600 Absolutely. 749 00:26:43,600 --> 00:26:45,800 OK, so we talked about those essential skills. 750 00:26:45,800 --> 00:26:48,680 Now let's talk about AI competency specifically. 751 00:26:48,680 --> 00:26:51,320 OK, so where do people go to learn about that? 752 00:26:51,320 --> 00:26:53,440 Well, there are some great platforms out there. 753 00:26:53,440 --> 00:26:55,160 One that stands out is Coursera. 754 00:26:55,160 --> 00:26:56,040 Yeah, I've used Coursera. 755 00:26:56,040 --> 00:26:56,600 I really like it. 756 00:26:56,600 --> 00:27:00,000 Yeah, they partner with all these leading universities 757 00:27:00,000 --> 00:27:03,800 and companies to offer these really high quality courses. 758 00:27:03,800 --> 00:27:04,840 And it's not just AI. 759 00:27:04,840 --> 00:27:06,120 It's all sorts of stuff. 760 00:27:06,120 --> 00:27:10,040 But in the AI world, you can find everything 761 00:27:10,040 --> 00:27:11,920 from those introductory courses, 762 00:27:11,920 --> 00:27:14,280 just to get a sense of the basic concepts, 763 00:27:14,280 --> 00:27:18,800 to really specialize programs, machine learning, deep learning, 764 00:27:18,800 --> 00:27:20,240 natural language processing. 765 00:27:20,240 --> 00:27:21,000 I mean, you name it. 766 00:27:21,000 --> 00:27:21,840 They've got it. 767 00:27:21,840 --> 00:27:22,480 Yeah. 768 00:27:22,480 --> 00:27:25,320 And a lot of those courses are free to audit, which is awesome. 769 00:27:25,320 --> 00:27:28,960 And then if you want to get a certificate of completion, 770 00:27:28,960 --> 00:27:30,120 then you could pay a small fee. 771 00:27:30,120 --> 00:27:31,280 Right, exactly. 772 00:27:31,280 --> 00:27:33,800 And then there's ADX, another great option. 773 00:27:33,800 --> 00:27:35,480 Yeah, ADX is fantastic. 774 00:27:35,480 --> 00:27:40,320 Similar to Coursera, they've got a huge selection of AI courses. 775 00:27:40,320 --> 00:27:44,880 And a lot of them are created by these top universities, MIT, 776 00:27:44,880 --> 00:27:45,800 Harvard. 777 00:27:45,800 --> 00:27:47,600 Yeah, so the courses are really rigorous. 778 00:27:47,600 --> 00:27:48,960 They've got that academic depth. 779 00:27:48,960 --> 00:27:49,600 They do. 780 00:27:49,600 --> 00:27:53,720 And then if you're someone who likes to learn by doing, 781 00:27:53,720 --> 00:27:57,320 by getting your hands dirty, I really recommend Fast.ai. 782 00:27:57,320 --> 00:27:57,720 Oh, yeah. 783 00:27:57,720 --> 00:27:58,880 Fast.ai is great. 784 00:27:58,880 --> 00:28:01,000 They offer these free online courses. 785 00:28:01,000 --> 00:28:03,400 And they really focus on the practical applications 786 00:28:03,400 --> 00:28:04,120 of deep learning. 787 00:28:04,120 --> 00:28:07,560 So less theory, more let's build something. 788 00:28:07,560 --> 00:28:09,400 Yeah, their curriculum is all about getting you 789 00:28:09,400 --> 00:28:11,920 building AI models as quickly as possible, 790 00:28:11,920 --> 00:28:14,960 even if you don't have a strong coding background coming in. 791 00:28:14,960 --> 00:28:16,800 Right, it's really accessible. 792 00:28:16,800 --> 00:28:20,080 And then if you're particularly interested in the ethics of AI, 793 00:28:20,080 --> 00:28:22,600 all those really important questions, 794 00:28:22,600 --> 00:28:24,840 I'd recommend checking out the Berkman Klein Center. 795 00:28:24,840 --> 00:28:25,560 It's at Harvard. 796 00:28:25,560 --> 00:28:28,400 They have a course called Ethics and Governance of AI, 797 00:28:28,400 --> 00:28:29,760 which I think is really interesting. 798 00:28:29,760 --> 00:28:32,720 Yeah, that's a great resource for taking a step back 799 00:28:32,720 --> 00:28:34,360 and looking at the bigger picture, 800 00:28:34,360 --> 00:28:37,440 thinking about the societal implications of AI, 801 00:28:37,440 --> 00:28:40,560 how to develop and deploy these technologies responsibly. 802 00:28:40,560 --> 00:28:41,840 Exactly. 803 00:28:41,840 --> 00:28:43,480 OK, so we've covered some of those more, 804 00:28:43,480 --> 00:28:45,160 I guess, general resources. 805 00:28:45,160 --> 00:28:47,720 Now, what about resources that are tailored 806 00:28:47,720 --> 00:28:49,640 to specific industries? 807 00:28:49,640 --> 00:28:52,880 Because obviously, AI is being used differently in health care 808 00:28:52,880 --> 00:28:55,760 than it is in finance than it is in manufacturing. 809 00:28:55,760 --> 00:28:57,160 Yeah, exactly. 810 00:28:57,160 --> 00:28:59,800 So for those who are, let's say, in health care, 811 00:28:59,800 --> 00:29:02,400 the American Medical Association, the AMA, 812 00:29:02,400 --> 00:29:05,800 they offer a range of continuing medical education courses, 813 00:29:05,800 --> 00:29:07,960 specifically on AI in health care. 814 00:29:07,960 --> 00:29:09,040 Oh, that makes sense. 815 00:29:09,040 --> 00:29:10,600 Yeah, so these courses cover things 816 00:29:10,600 --> 00:29:14,120 like using AI for diagnosis, treatment planning, 817 00:29:14,120 --> 00:29:14,920 drug discovery. 818 00:29:14,920 --> 00:29:15,720 Right. 819 00:29:15,720 --> 00:29:18,080 And then for those in the financial sector, 820 00:29:18,080 --> 00:29:20,520 there's the CFA Institute. 821 00:29:20,520 --> 00:29:23,520 They offer a certificate in AI and data science, 822 00:29:23,520 --> 00:29:25,760 specifically for investment professionals. 823 00:29:25,760 --> 00:29:27,120 Yeah, and that sounds real useful. 824 00:29:27,120 --> 00:29:27,600 It is. 825 00:29:27,600 --> 00:29:29,240 It's designed to help you understand 826 00:29:29,240 --> 00:29:32,600 how AI is changing the whole financial landscape 827 00:29:32,600 --> 00:29:34,840 and how you, as an investment professional, 828 00:29:34,840 --> 00:29:37,320 can use these technologies to make better decisions. 829 00:29:37,320 --> 00:29:38,240 OK. 830 00:29:38,240 --> 00:29:39,880 And what about educators? 831 00:29:39,880 --> 00:29:41,240 What about teachers? 832 00:29:41,240 --> 00:29:44,040 Where can they go to learn about AI? 833 00:29:44,040 --> 00:29:46,640 So there's the International Society for Technology 834 00:29:46,640 --> 00:29:48,560 and Education, ISE. 835 00:29:48,560 --> 00:29:51,240 They've actually developed standards for AI in education, 836 00:29:51,240 --> 00:29:52,400 which is really interesting. 837 00:29:52,400 --> 00:29:53,880 Yeah, you hadn't heard about that. 838 00:29:53,880 --> 00:29:56,800 So these standards outline what students need to know, 839 00:29:56,800 --> 00:29:58,720 what skills they need to develop to really 840 00:29:58,720 --> 00:30:01,080 thrive in this new world. 841 00:30:01,080 --> 00:30:03,520 And they also provide guidance for teachers, 842 00:30:03,520 --> 00:30:05,920 how to actually bring AI into the classroom. 843 00:30:05,920 --> 00:30:08,080 So really, no matter what your industry is, 844 00:30:08,080 --> 00:30:10,920 what your profession is, there are resources out there 845 00:30:10,920 --> 00:30:13,000 to help you develop this competency. 846 00:30:13,000 --> 00:30:13,640 Absolutely. 847 00:30:13,640 --> 00:30:15,360 And don't forget, learning about AI 848 00:30:15,360 --> 00:30:18,680 is not just about taking courses and reading books. 849 00:30:18,680 --> 00:30:22,280 It's also about experimenting, building stuff, 850 00:30:22,280 --> 00:30:23,840 connecting with people. 851 00:30:23,840 --> 00:30:25,680 Yeah, getting your hands dirty, like you said. 852 00:30:25,680 --> 00:30:26,640 Exactly. 853 00:30:26,640 --> 00:30:29,800 So one great way to get some hands-on experience 854 00:30:29,800 --> 00:30:36,400 is to actually participate in online AI challenges, competitions. 855 00:30:36,400 --> 00:30:37,280 Oh, that's a great idea. 856 00:30:37,280 --> 00:30:39,840 Yeah, platforms like Kaggle and Devendata, 857 00:30:39,840 --> 00:30:41,680 they host these competitions. 858 00:30:41,680 --> 00:30:45,000 And you can test your skills, learn from other people, 859 00:30:45,000 --> 00:30:47,360 see how other people are approaching these problems. 860 00:30:47,360 --> 00:30:49,640 Yeah, and you could even contribute to open source AI 861 00:30:49,640 --> 00:30:50,080 projects. 862 00:30:50,080 --> 00:30:50,920 Oh, absolutely. 863 00:30:50,920 --> 00:30:52,960 Platforms like GitHub are perfect for that. 864 00:30:52,960 --> 00:30:56,240 It's a great way to learn from more experienced developers 865 00:30:56,240 --> 00:30:58,640 and also just to make a real world impact, 866 00:30:58,640 --> 00:31:00,480 to actually contribute something to the field. 867 00:31:00,480 --> 00:31:03,440 Right, and don't forget about those online communities, 868 00:31:03,440 --> 00:31:06,960 the forums, connecting with other people who are just 869 00:31:06,960 --> 00:31:09,200 as passionate about AI as you are. 870 00:31:09,200 --> 00:31:10,280 That's huge. 871 00:31:10,280 --> 00:31:13,160 Yeah, asking questions, sharing knowledge, 872 00:31:13,160 --> 00:31:15,040 bouncing ideas off of each other, 873 00:31:15,040 --> 00:31:16,760 is staying up to date on what's happening, 874 00:31:16,760 --> 00:31:17,800 what the latest trends are. 875 00:31:17,800 --> 00:31:18,520 Exactly. 876 00:31:18,520 --> 00:31:20,080 So I mean, it's a whole world out there, 877 00:31:20,080 --> 00:31:22,760 a whole world of resources, of opportunities. 878 00:31:22,760 --> 00:31:25,280 It can feel overwhelming, I know. 879 00:31:25,280 --> 00:31:28,120 But I think the message is really, embrace the challenge, 880 00:31:28,120 --> 00:31:30,360 be curious, never stop learning. 881 00:31:30,360 --> 00:31:33,560 Yeah, because AI competency is a journey, right? 882 00:31:33,560 --> 00:31:34,800 It's not a destination. 883 00:31:34,800 --> 00:31:37,000 It's something you're constantly working towards. 884 00:31:37,000 --> 00:31:39,240 And the more you learn, the more you explore, 885 00:31:39,240 --> 00:31:42,360 the better equipped you'll be to navigate this exciting, 886 00:31:42,360 --> 00:31:44,840 this rapidly evolving world of AI. 887 00:31:44,840 --> 00:31:46,280 Couldn't have said it better myself. 888 00:31:46,280 --> 00:31:48,080 Well, thanks for joining us on this deep dive 889 00:31:48,080 --> 00:31:49,200 into AI competency. 890 00:31:49,200 --> 00:31:50,080 It's been a pleasure. 891 00:31:50,080 --> 00:31:52,040 We hope this episode has given you, 892 00:31:52,040 --> 00:31:54,520 I don't know, some inspiration, some practical tips 893 00:31:54,520 --> 00:31:56,880 to start your own AI journey, whatever that 894 00:31:56,880 --> 00:31:57,680 looks like for you. 895 00:31:57,680 --> 00:31:58,640 Absolutely. 896 00:31:58,640 --> 00:32:01,040 And we'll see you next time for another deep dive 897 00:32:01,040 --> 00:32:03,120 into a fascinating topic. 898 00:32:03,120 --> 00:32:29,080 Until then, keep learning, keep exploring, and stay curious.