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These are the user uploaded subtitles that are being translated: 1 00:00:00,200 --> 00:00:01,768 Please welcome to the stage. 2 00:00:02,168 --> 00:00:08,441 The CEO of amier at rga, Rebecca bazina, and the chief creative officer at rga. 3 00:00:08,41 --> 00:00:08,441 4 00:00:09,75 --> 00:00:10,543 Nick pringle. 5 00:00:12,178 --> 00:00:12,812 Thank you. 6 00:00:22,756 --> 00:00:22,922 Hello. 7 00:00:23,556 --> 00:00:24,524 Pleasure to be here. 8 00:00:25,58 --> 00:00:27,560 And the weather has held up, which is great for everyone. 9 00:00:27,861 --> 00:00:28,28 Hope. 10 00:00:28,94 --> 00:00:29,62 Ever once had a good day? 11 00:00:29,863 --> 00:00:30,497 We're from rga. 12 00:00:31,131 --> 00:00:32,766 We are a creative innovation company. 13 00:00:33,299 --> 00:00:38,171 We work with global brands, a lot of the big four tech companies, Nike Google. 14 00:00:39,239 --> 00:00:41,808 And we're really excited to chat to you. 15 00:00:42,275 --> 00:00:42,676 I'm Rebecca. 16 00:00:43,143 --> 00:00:44,944 I'm the CEO in a mea. 17 00:00:46,579 --> 00:00:47,347 And I'm Nick. 18 00:00:47,614 --> 00:00:48,748 Actually, pray, not sir. 19 00:00:48,982 --> 00:00:52,652 Ij inamir expects that it's great to be here for a short time. 20 00:00:52,652 --> 00:00:54,587 It's only bringing the rain all the way from London. 21 00:00:55,55 --> 00:00:56,656 Turns out we're actually ok. 22 00:00:57,691 --> 00:01:01,761 So I want to spend the next twenty or so minutes talking about 23 00:01:02,595 --> 00:01:05,432 groundbuilding in the Era of AI. 24 00:01:05,799 --> 00:01:09,135 So what does it mean to build brands in the Era of AI? 25 00:01:10,270 --> 00:01:13,640 And when we think about brand building, generally, over the many, many years 26 00:01:13,707 --> 00:01:17,110 we've been doing it for a longest time, it's been an attention game. 27 00:01:17,310 --> 00:01:19,846 So we put great advertising out into the world. 28 00:01:20,513 --> 00:01:21,381 It's a mass message. 29 00:01:22,115 --> 00:01:23,983 We get, like swallowers fans. 30 00:01:24,818 --> 00:01:27,854 We put our message out there in a very broadcast type of way. 31 00:01:28,822 --> 00:01:34,260 Sometime around about let's say, fifteen years ago, we moved into the 32 00:01:34,260 --> 00:01:35,228 personalization Era. 33 00:01:36,429 --> 00:01:37,931 We went dot com, we got Apps. 34 00:01:39,299 --> 00:01:41,801 Suddenly the way that we could build our brand became in this new 35 00:01:41,935 --> 00:01:42,902 personalized way. 36 00:01:42,902 --> 00:01:45,5 So we would track people, we would target people. 37 00:01:45,138 --> 00:01:46,706 We would cookie the hell out of you 38 00:01:46,906 --> 00:01:48,975 adverts, which follow you around the internet 39 00:01:49,542 --> 00:01:51,311 with this kind of personalization area. 40 00:01:51,478 --> 00:01:55,648 When you think about it, actually was sort of deeply impersonal. 41 00:01:56,16 --> 00:01:59,719 I always think of it as the dead hand of marketing, following around, trying 42 00:01:59,786 --> 00:02:00,487 to sell you something. 43 00:02:01,454 --> 00:02:03,56 We've all tried to rally against that. 44 00:02:03,156 --> 00:02:03,323 Right? 45 00:02:03,456 --> 00:02:05,625 Cookies are going, we will have ad blockers. 46 00:02:05,859 --> 00:02:06,760 We go onto streaming services. 47 00:02:07,60 --> 00:02:07,994 We don't go to 48 00:02:08,495 --> 00:02:10,230 regular linear TV so much. 49 00:02:11,464 --> 00:02:13,767 But that Era, our contention, is 50 00:02:14,200 --> 00:02:16,2 is starting to come to an end. 51 00:02:16,569 --> 00:02:19,39 And we're going to move into this period of building brand 52 00:02:19,706 --> 00:02:20,807 through intimacy. 53 00:02:21,941 --> 00:02:23,376 So from attention to personalization 54 00:02:24,511 --> 00:02:25,612 to intimacy. 55 00:02:25,945 --> 00:02:30,550 And it is generative AI that allows us to build brands in this more intimate 56 00:02:30,917 --> 00:02:34,87 human way and to live that humanity at scale. 57 00:02:37,957 --> 00:02:39,159 So let's go back a little bit. 58 00:02:39,159 --> 00:02:41,594 Let's go back 48 months and see what's happened. 59 00:02:41,928 --> 00:02:43,63 There's been this race to commercialize 60 00:02:44,431 --> 00:02:44,998 AI technologies. 61 00:02:45,465 --> 00:02:47,834 All of the big five tech players, and some new ones 62 00:02:48,34 --> 00:02:50,503 have come into the market, rapidly evolving the technology. 63 00:02:51,71 --> 00:02:51,371 So 64 00:02:51,671 --> 00:02:51,971 202248 65 00:02:53,139 --> 00:02:56,176 months ago, chat gtp goes live. 66 00:02:57,544 --> 00:03:00,313 We're all wow by its text to text capabilities. 67 00:03:00,580 --> 00:03:03,516 Mid journey appears, suddenly we have text to image. 68 00:03:04,184 --> 00:03:06,119 Our social feeds are filling up with incredible 69 00:03:07,387 --> 00:03:10,523 visions and images that everyone could suddenly create and put that out into 70 00:03:10,590 --> 00:03:11,24 the world. 71 00:03:13,460 --> 00:03:15,95 Somewhere in 2023, 72 00:03:15,795 --> 00:03:17,597 we have this huge epic year. 73 00:03:18,498 --> 00:03:22,335 Microsoft invests 100 million dollars into open end AI, on top of what we've 74 00:03:22,435 --> 00:03:23,36 already spent. 75 00:03:23,937 --> 00:03:26,239 Chat gtp four goes live. 76 00:03:26,840 --> 00:03:32,45 Suddenly AI is ripping the current internet, incredible data set in order 77 00:03:32,178 --> 00:03:33,713 to work its magic. 78 00:03:34,347 --> 00:03:35,448 Amazon firefly indemnifize 79 00:03:36,583 --> 00:03:40,186 product, which is very important because it means brands suddenly are 80 00:03:40,253 --> 00:03:44,791 able to use generative AI images in their workflow, in their content. 81 00:03:45,792 --> 00:03:47,160 Mid journey puts out a new update. 82 00:03:47,394 --> 00:03:48,795 That's even more incredible. 83 00:03:49,462 --> 00:03:51,297 Metajor raised with Lama, too. 84 00:03:52,432 --> 00:03:56,970 And then j s, which is the first Arabic, large language model, comes to market. 85 00:03:57,370 --> 00:03:58,271 All in twelve months. 86 00:03:58,438 --> 00:04:00,6 Extraordinary tech innovation. 87 00:04:00,840 --> 00:04:02,242 And here we are 88 00:04:02,409 --> 00:04:02,709 in 2024, 89 00:04:04,177 --> 00:04:06,513 only a couple of months in, and there've been a few huge events. 90 00:04:06,813 --> 00:04:10,550 So Jim and I has come to market, which was barred from Google. 91 00:04:11,51 --> 00:04:12,652 Incredible, what jem and I can do. 92 00:04:13,153 --> 00:04:17,724 And openai launches sorrow, which is their text of video proposition, which 93 00:04:17,791 --> 00:04:19,159 is completely mind blowing. 94 00:04:19,559 --> 00:04:21,928 And we'll have a look at that in a second. 95 00:04:22,996 --> 00:04:23,697 But so, 96 00:04:24,731 --> 00:04:25,131 what 97 00:04:25,799 --> 00:04:28,601 the tech companies are iterating, their technology, it's incredible. 98 00:04:28,902 --> 00:04:30,603 Why does this really matter to us? 99 00:04:30,670 --> 00:04:31,371 People who are so 100 00:04:31,638 --> 00:04:32,172 concerned about 101 00:04:33,139 --> 00:04:34,708 consumers and what their needs are? 102 00:04:36,343 --> 00:04:38,78 And the reality is that 103 00:04:38,278 --> 00:04:41,114 it's all about the adoption of this technology by people. 104 00:04:41,848 --> 00:04:44,818 So if we think about some of the platforms that live in our lives now 105 00:04:44,818 --> 00:04:48,188 that are so central to our lives that we don't even think about spotfire. 106 00:04:48,822 --> 00:04:50,90 Instagram, many, many others 107 00:04:50,423 --> 00:04:51,57 Spotify, 150 108 00:04:52,92 --> 00:04:54,227 days to get to a million users. 109 00:04:55,228 --> 00:04:58,31 Instagram, 75 days to get to a million users. 110 00:04:58,264 --> 00:04:59,999 Chat gtp, five days, 111 00:05:01,701 --> 00:05:02,202 five days. 112 00:05:02,268 --> 00:05:03,303 Sketch of million uses. 113 00:05:03,470 --> 00:05:06,706 As of this week, 100 million weekly users 114 00:05:06,973 --> 00:05:08,308 on chat gtb. 115 00:05:08,908 --> 00:05:10,410 That is a huge adoption 116 00:05:10,744 --> 00:05:12,946 from people like, maybe, like we've never seen before 117 00:05:13,380 --> 00:05:14,714 it's in people's lives. 118 00:05:15,48 --> 00:05:16,149 And so here we are. 119 00:05:17,50 --> 00:05:18,351 Life is becoming 120 00:05:19,552 --> 00:05:21,287 AI assisted, 121 00:05:21,855 --> 00:05:25,925 slowly, instead, our lives, because it's become even more AI assisted. 122 00:05:26,726 --> 00:05:27,360 So 123 00:05:27,861 --> 00:05:30,764 talking about creation first, and our ability to create beautiful things. 124 00:05:30,830 --> 00:05:32,198 We did this before we came here today. 125 00:05:32,432 --> 00:05:32,465 This 126 00:05:32,665 --> 00:05:33,433 text prompt, 127 00:05:33,867 --> 00:05:36,970 a beautiful, generative world of Dubai harbor 128 00:05:37,637 --> 00:05:39,506 in the year to that 200, 129 00:05:40,40 --> 00:05:41,307 in the style of Star Wars. 130 00:05:41,474 --> 00:05:42,575 Rogue one, hyperfuturistic 131 00:05:43,610 --> 00:05:46,546 cities in the distance, Ar 169, 132 00:05:48,748 --> 00:05:49,749 and this is what we get. 133 00:05:50,984 --> 00:05:51,985 It's unbelievable. 134 00:05:52,185 --> 00:05:55,155 I don't have the skill level to create this, but I can simply tap in a few 135 00:05:55,155 --> 00:05:58,91 prompts, and I can create this incredible artistic imagery. 136 00:05:59,793 --> 00:06:00,527 But what about this? 137 00:06:00,593 --> 00:06:03,997 We're talking about sorrow and sorrow's ability to go from text to video. 138 00:06:04,431 --> 00:06:05,131 Here's a prompt, 139 00:06:05,699 --> 00:06:08,668 a movie trailer featuring the adventures of a thirty year old 140 00:06:08,835 --> 00:06:12,5 spaceman wearing a red wool knitted motcycle helmet 141 00:06:12,572 --> 00:06:13,940 blue sky salt. 142 00:06:14,507 --> 00:06:18,244 Salt there's a classic cinema style shot on 35 billion 143 00:06:18,511 --> 00:06:20,146 film vivid colors. 144 00:06:41,234 --> 00:06:43,536 I think it agrees nothing short of extraordinary. 145 00:06:44,337 --> 00:06:46,573 And it just comes from a few text props. 146 00:06:47,374 --> 00:06:48,341 Hollywood is terrified. 147 00:06:48,742 --> 00:06:50,510 Production companies are shaking in the needs. 148 00:06:50,677 --> 00:06:52,846 Unsurprisingly, people have hard to read till their business. 149 00:06:52,979 --> 00:06:55,782 Because what is possible here, and what would be increasingly possible. 150 00:06:56,116 --> 00:07:00,653 But what I want you think about is this is people prompting to get outcomes. 151 00:07:01,454 --> 00:07:04,657 These are creative outcomes but think about productivity outcomes that you 152 00:07:04,657 --> 00:07:04,991 can prompt. 153 00:07:05,291 --> 00:07:05,592 So 154 00:07:06,26 --> 00:07:10,430 if you're a kid at the age of sixteen doing your exams right now, you're prompting 155 00:07:11,798 --> 00:07:13,767 gpt to do your college essays. 156 00:07:15,468 --> 00:07:18,872 You can get it to tell you how to train for the marathon, injury free. 157 00:07:20,106 --> 00:07:22,242 You can outline your Dubai link's talk, 158 00:07:22,575 --> 00:07:24,144 which we didn't do, Patri should have done. 159 00:07:25,311 --> 00:07:26,546 But there's so much more. 160 00:07:27,380 --> 00:07:31,384 Book my holiday with my friends, write my LinkedIn post, build my website, no 161 00:07:31,451 --> 00:07:33,586 code, build my website for my new start up. 162 00:07:34,521 --> 00:07:37,457 And it goes on and it goes on and it goes on. 163 00:07:37,691 --> 00:07:38,825 And this prompting sensibility 164 00:07:39,959 --> 00:07:42,595 is slowly going to become in every single part of our lives. 165 00:07:42,729 --> 00:07:46,733 And indeed it will go into the platforms that we use every single day. 166 00:07:48,335 --> 00:07:49,703 So again, why is that important? 167 00:07:50,103 --> 00:07:53,440 Well, it's about customer expectation. 168 00:07:53,773 --> 00:07:58,411 And in our business we've always been about understanding new, customer expectation. 169 00:08:00,113 --> 00:08:00,914 And the changing expectation 170 00:08:02,115 --> 00:08:05,318 is that digital experiences will deliver extraordinary 171 00:08:06,353 --> 00:08:07,854 outcome was, for me, 172 00:08:08,655 --> 00:08:09,389 personal outcomes. 173 00:08:09,689 --> 00:08:10,223 For me. 174 00:08:11,57 --> 00:08:12,158 This is a big change. 175 00:08:13,460 --> 00:08:14,894 This is what we would regard 176 00:08:15,228 --> 00:08:16,329 as experience 177 00:08:16,896 --> 00:08:17,697 3 point o. 178 00:08:18,31 --> 00:08:21,1 Now, I don't know if you've heard this term before, but I think it's going to 179 00:08:21,1 --> 00:08:22,602 become very important and become very salient. 180 00:08:24,104 --> 00:08:25,105 3 point o. 181 00:08:26,106 --> 00:08:29,309 So to understand experience 3 point iOS, worth spending a week thinking 182 00:08:29,476 --> 00:08:32,479 about what are the other areas of experience that we've gone through? 183 00:08:33,313 --> 00:08:38,84 So 1 point o, cast your mind back the days when you would wander into a shop, 184 00:08:39,52 --> 00:08:42,822 talked to a shop assistant, have a human interaction, talk about the 185 00:08:42,822 --> 00:08:44,324 clothes, what size have you got? 186 00:08:44,891 --> 00:08:46,526 What you had was this great moment of humanity. 187 00:08:46,893 --> 00:08:49,229 Obviously what you had was very little access. 188 00:08:49,529 --> 00:08:51,164 You only had access to what was in the shop. 189 00:08:51,231 --> 00:08:54,668 You had very little control, because the storekeeper was the controlling 190 00:08:55,68 --> 00:08:55,835 entity of that 191 00:08:56,503 --> 00:08:56,670 experience. 192 00:08:56,903 --> 00:08:58,571 And that went on for obscure, 193 00:08:58,905 --> 00:08:59,673 hundreds of years. 194 00:09:00,674 --> 00:09:01,875 Internet came along, digitization, 195 00:09:02,976 --> 00:09:05,278 and we have experience 2 point o. 196 00:09:06,112 --> 00:09:08,348 Suddenly our store experience goes online. 197 00:09:08,982 --> 00:09:11,184 What we get is an incredible amount of control, 198 00:09:11,618 --> 00:09:14,387 because we can command the machine to do what we want it to do. 199 00:09:14,921 --> 00:09:15,989 We get incredible access, 200 00:09:16,990 --> 00:09:19,959 because all the product is available to us, can be sourced from wherever and 201 00:09:19,959 --> 00:09:20,627 deliver to us. 202 00:09:21,461 --> 00:09:23,363 But we have very, very little humanity. 203 00:09:24,30 --> 00:09:26,733 And if anyone has been building digital experiences for the last 204 00:09:27,133 --> 00:09:29,135 fifteen or so years, and we have 205 00:09:29,703 --> 00:09:32,105 that humanity has been something we've been trying to put into these 206 00:09:32,172 --> 00:09:34,407 experiences with, I would say, varying degrees of success, 207 00:09:35,542 --> 00:09:37,711 where we get to 3 point o, which is very exciting. 208 00:09:38,11 --> 00:09:40,680 As you maintain the control, you maintain the access. 209 00:09:40,980 --> 00:09:42,749 And what we're able to bring back is the humanity. 210 00:09:43,550 --> 00:09:44,784 Through generative AI, 211 00:09:45,552 --> 00:09:47,320 you can have a human like interaction, 212 00:09:48,488 --> 00:09:48,788 conversational, 213 00:09:49,789 --> 00:09:50,557 predictive 214 00:09:52,359 --> 00:09:53,593 thinking centiard 215 00:09:54,260 --> 00:09:57,597 that allows you to grow a relationship within that digital moment. 216 00:09:57,864 --> 00:10:00,166 And that is net new, and that is very exciting. 217 00:10:01,134 --> 00:10:02,402 So let's think about 218 00:10:02,736 --> 00:10:04,971 what that might mean for a brown like Nike. 219 00:10:09,376 --> 00:10:10,543 Hey, Nick what's up. 220 00:10:11,478 --> 00:10:12,12 Hey, twist 221 00:10:12,679 --> 00:10:13,780 on the plane over here. 222 00:10:14,180 --> 00:10:14,581 I watched 223 00:10:15,782 --> 00:10:16,416 the last dance. 224 00:10:16,516 --> 00:10:18,84 I really want to get hold of a pair of dunks. 225 00:10:19,219 --> 00:10:19,619 All right? 226 00:10:19,719 --> 00:10:20,153 Got it? 227 00:10:21,54 --> 00:10:23,456 The red and black Jordan threes from episode four? 228 00:10:23,690 --> 00:10:24,190 No, no, no. 229 00:10:24,257 --> 00:10:26,893 What I want if the white and red ones, 230 00:10:28,94 --> 00:10:30,230 the Og jordans from the first episode? 231 00:10:31,131 --> 00:10:31,865 Yes, that's right. 232 00:10:31,931 --> 00:10:32,365 That's what's. 233 00:10:32,432 --> 00:10:32,799 I want you. 234 00:10:35,669 --> 00:10:36,169 Gunham, 235 00:10:39,305 --> 00:10:41,107 I've dropped your size into the bag. 236 00:10:44,744 --> 00:10:47,80 You're staying at the Atlantis of the palm, and do by? 237 00:10:47,881 --> 00:10:48,48 Yes. 238 00:10:48,281 --> 00:10:48,648 Of course. 239 00:10:50,183 --> 00:10:51,951 Should I ship them to you there or back home? 240 00:10:52,252 --> 00:10:52,919 And you know what? 241 00:10:52,919 --> 00:10:55,989 I'm going to take a flight back quite soon, so i'll get sent to my home in partnepiece. 242 00:10:57,57 --> 00:10:57,457 All right. 243 00:10:57,791 --> 00:10:58,91 Done. 244 00:11:02,28 --> 00:11:04,164 By the way, I noticed you haven't watched air yet. 245 00:11:05,231 --> 00:11:08,168 Now I haven't, but I will try to check it out on the flight back. 246 00:11:09,703 --> 00:11:12,806 Six of your favorite sneakers feature in the film and are being re released. 247 00:11:13,239 --> 00:11:14,574 Want me to reserve anything? 248 00:11:15,75 --> 00:11:15,241 Yes. 249 00:11:15,542 --> 00:11:17,377 But right now, in the middle of a talk, you do by. 250 00:11:17,477 --> 00:11:18,712 So can we come back to that? 251 00:11:19,879 --> 00:11:20,847 Let's get on with it. 252 00:11:20,980 --> 00:11:22,248 Swoosh, over and out. 253 00:11:22,816 --> 00:11:22,982 Ok. 254 00:11:23,316 --> 00:11:23,717 Thank you. 255 00:11:23,783 --> 00:11:24,150 Swoosh. 256 00:11:24,984 --> 00:11:27,854 So what you see is a completely different experience you're having 257 00:11:29,55 --> 00:11:29,356 with your 258 00:11:31,57 --> 00:11:33,960 digital brand, one that feels human it's learning, it's knowing. 259 00:11:34,661 --> 00:11:36,363 The humanity has come back to the experience. 260 00:11:36,663 --> 00:11:38,198 It is completely different to where we've been. 261 00:11:38,264 --> 00:11:40,33 So I think it's a very, very exciting future. 262 00:11:40,500 --> 00:11:44,4 Now, let me part the beck and tell you a little bit how that Microsoft come together. 263 00:11:45,705 --> 00:11:45,872 Thanks. 264 00:11:46,106 --> 00:11:46,406 Nick. 265 00:11:46,840 --> 00:11:47,507 All right, 266 00:11:54,981 --> 00:11:59,219 now we go, how to Embrace that change that we just talked to you through? 267 00:11:59,853 --> 00:12:01,621 I think first of all, we should step back. 268 00:12:02,422 --> 00:12:03,623 If we think about AI. 269 00:12:04,90 --> 00:12:08,995 It has really been quite relevant over decades for marketers and then figuring 270 00:12:09,229 --> 00:12:10,830 out how to integrate it into their business. 271 00:12:11,865 --> 00:12:14,334 A lot of that referred to today as machine learning 272 00:12:15,368 --> 00:12:17,137 and taking the form of driving segmentation 273 00:12:18,338 --> 00:12:19,706 targeting or product offers. 274 00:12:20,740 --> 00:12:23,943 But fast forward to what we've talked about today, and showing you a glimpse 275 00:12:24,177 --> 00:12:26,713 of when we think about generative AI. 276 00:12:26,980 --> 00:12:31,885 It is really taking a topsy of the table and for marketers to think about 277 00:12:31,951 --> 00:12:34,387 how they integrate this into their operations. 278 00:12:35,155 --> 00:12:38,91 It truly significs a revolutionary force. 279 00:12:39,459 --> 00:12:43,630 I think we will look back in years to come, at this moment of what we're 280 00:12:43,697 --> 00:12:45,298 seeing happening with generative AI. 281 00:12:45,932 --> 00:12:48,668 And it kind of likened it to when the internet came online. 282 00:12:49,302 --> 00:12:52,972 Truly it is disruptive and going to be changing industries. 283 00:12:53,139 --> 00:12:57,477 And more importantly, for the people here today, I think you're working with 284 00:12:57,544 --> 00:12:59,512 marketers, or you work at a brand, 285 00:12:59,779 --> 00:13:03,616 it is going to allow you to deliver on things that before you simply haven't 286 00:13:03,850 --> 00:13:04,651 been able to, 287 00:13:04,984 --> 00:13:07,53 the scale, the precision 288 00:13:07,554 --> 00:13:10,390 and the human touch, all done by machine. 289 00:13:11,291 --> 00:13:14,227 So it is truly an exciting time. 290 00:13:15,295 --> 00:13:19,466 We talked about this idea of going from attention to personalization to 291 00:13:19,466 --> 00:13:19,632 intimacy. 292 00:13:20,33 --> 00:13:22,35 And we've really been on this journey as marketers. 293 00:13:23,236 --> 00:13:27,374 When you think about attention forever in a day, it's been about pulling out a 294 00:13:27,374 --> 00:13:28,441 mass message to audience. 295 00:13:28,808 --> 00:13:31,644 What we want to tell an audience to think about our brand. 296 00:13:31,878 --> 00:13:32,479 Or our product, 297 00:13:33,380 --> 00:13:34,681 and that's worked for a long time. 298 00:13:34,748 --> 00:13:35,849 Then it was the race around personalization, 299 00:13:37,150 --> 00:13:39,786 right message, right channel at the right time. 300 00:13:40,353 --> 00:13:43,390 And to some extent, I think there's been a good effort in 301 00:13:44,758 --> 00:13:45,458 achieving that. 302 00:13:45,959 --> 00:13:47,827 However, even when achieving that 303 00:13:48,28 --> 00:13:52,165 to get down to really micro personalization has often come at a cost, 304 00:13:53,66 --> 00:13:56,569 or the effort, not worth to squeeze in terms of the upside because of the prohibitive 305 00:13:57,704 --> 00:14:00,140 side of the technology or implementation. 306 00:14:00,573 --> 00:14:01,641 And so we end up with personalization 307 00:14:02,676 --> 00:14:03,243 still in clusters. 308 00:14:03,877 --> 00:14:06,513 Could be demographics, could be by location, or 309 00:14:07,714 --> 00:14:09,82 products we think you may like. 310 00:14:09,549 --> 00:14:13,453 But when we talk about intimacy, when we look at the example that Nick just 311 00:14:13,453 --> 00:14:16,956 showed us for Nike, it is truly one to one. 312 00:14:17,390 --> 00:14:18,892 You are having a one to one personal 313 00:14:20,260 --> 00:14:20,560 conversation. 314 00:14:21,294 --> 00:14:24,831 You are getting to know the brand, and the brand is equally having to respond. 315 00:14:25,231 --> 00:14:26,733 So it's really, really powerful. 316 00:14:27,400 --> 00:14:27,934 So there's this 317 00:14:29,69 --> 00:14:29,602 shift? 318 00:14:29,936 --> 00:14:34,107 It's this shift from what you think I need where, again, forever in a day, 319 00:14:34,174 --> 00:14:37,711 it's been about trying to guess what's the nest back's product, or what's the 320 00:14:37,711 --> 00:14:42,549 nest bext offer that we're trying to put in front of people, to a complete flip. 321 00:14:43,450 --> 00:14:47,854 And that flip is really about putting the control in the hands of the 322 00:14:47,854 --> 00:14:50,190 consumer, and it's about what I want. 323 00:14:50,590 --> 00:14:54,227 So let's go from what you think I need to what I want. 324 00:14:54,594 --> 00:14:58,64 So on my terms, I want the brand on demand. 325 00:14:58,832 --> 00:15:03,69 I want to be able to prompt it, to be able to give me answers, or give me 326 00:15:03,69 --> 00:15:06,673 selection of product, or provide me a service on my terms. 327 00:15:07,240 --> 00:15:10,76 And brands are going to need to be able to respond to that. 328 00:15:11,44 --> 00:15:11,511 So 329 00:15:12,278 --> 00:15:15,882 there is truly a competitive advantage in the market to be gained. 330 00:15:16,349 --> 00:15:18,818 If we talk about this region, a recent pwc 331 00:15:20,20 --> 00:15:20,653 report 332 00:15:21,54 --> 00:15:25,759 showed that 81 percent of businesses have sided that there is a readiness 333 00:15:26,259 --> 00:15:28,194 to implement generative in their business. 334 00:15:28,828 --> 00:15:33,166 53 percent are aggressively implementing it into their business. 335 00:15:33,400 --> 00:15:34,868 And we truly believe 336 00:15:35,68 --> 00:15:37,637 that those that will do it will gain a competitive advantage. 337 00:15:38,738 --> 00:15:42,575 We know, if you look at average starts around, if you're delivering personalization, 338 00:15:43,877 --> 00:15:47,847 that there is a direct return, an upside, in terms of the wallet. 339 00:15:49,49 --> 00:15:51,184 The last thing is consumers. 340 00:15:51,718 --> 00:15:55,689 If you think about the generation of consumers that we're serving coming up, 341 00:15:55,689 --> 00:15:56,256 who are our customers, 342 00:15:57,390 --> 00:15:58,758 they expect this. 343 00:15:59,159 --> 00:16:01,628 They are being able to generate images, even videos. 344 00:16:01,928 --> 00:16:04,97 In fact, in seconds like we just saw. 345 00:16:04,731 --> 00:16:07,667 Why shouldn't the experience that I have 346 00:16:07,934 --> 00:16:11,538 as a consumer in my personal life, be able to transfer 347 00:16:13,73 --> 00:16:14,607 into what I expect from a brand. 348 00:16:14,741 --> 00:16:16,810 So there's just a customer expectation. 349 00:16:17,610 --> 00:16:20,513 So if we all believe, and we truly believe, that there's a competitive 350 00:16:20,914 --> 00:16:22,682 advantage to be had here. 351 00:16:23,149 --> 00:16:26,686 The other thing then is let's assume that the technology is going to get 352 00:16:26,753 --> 00:16:26,920 better. 353 00:16:27,387 --> 00:16:31,57 Nick walked us through in 48 months what's happened, which is truly 354 00:16:31,224 --> 00:16:31,391 remarkable. 355 00:16:31,858 --> 00:16:36,663 And I truly believe that the technology will continue to enhance and get 356 00:16:36,730 --> 00:16:40,967 better, and that it will be implemented into many, many businesses. 357 00:16:41,601 --> 00:16:42,68 So 358 00:16:42,502 --> 00:16:43,536 where does that leave us? 359 00:16:44,170 --> 00:16:46,873 It means that the importance of the brand 360 00:16:47,374 --> 00:16:51,878 is something where we really can influence how you have a 361 00:16:51,878 --> 00:16:53,913 distinctiveness in the market. 362 00:16:54,180 --> 00:16:56,149 So let's talk about that a little bit more. 363 00:16:56,750 --> 00:16:57,717 So we posed this question, 364 00:16:58,918 --> 00:17:00,487 is your brand 365 00:17:00,920 --> 00:17:02,655 defined enough to be promptable? 366 00:17:03,56 --> 00:17:03,723 I read again. 367 00:17:03,957 --> 00:17:07,527 Is your brand defined enough to be promptable? 368 00:17:08,428 --> 00:17:13,800 If you were to ingest all your brand's data, everything about it, into 369 00:17:14,34 --> 00:17:16,636 machine, when it spits it out the other end, 370 00:17:17,303 --> 00:17:18,338 what would it feel like? 371 00:17:18,672 --> 00:17:19,806 What would it sound like? 372 00:17:20,173 --> 00:17:22,409 What would the experience be like? 373 00:17:22,809 --> 00:17:28,281 This is the conversation where I think if we can nail the brand and have that distinctiveness, 374 00:17:29,549 --> 00:17:31,851 we will be able to stand out in the market. 375 00:17:35,188 --> 00:17:35,689 So 376 00:17:36,89 --> 00:17:40,93 in a sea of same, if we make an assumption that people will all use the 377 00:17:40,93 --> 00:17:44,130 technology, and to an extent, there will be a certain level of commoditization, 378 00:17:45,231 --> 00:17:47,701 like there is with many products and services today. 379 00:17:48,201 --> 00:17:51,705 But the thing that stands out, the thing that you get your affinity, is 380 00:17:51,771 --> 00:17:52,205 the brand. 381 00:17:52,672 --> 00:17:56,509 So how do you deliver that and translate that into experiences? 382 00:17:57,777 --> 00:18:00,780 The good news, probably, for many people here, 383 00:18:01,715 --> 00:18:06,553 the traditional things that we've obsessed about as marketers are still true. 384 00:18:07,53 --> 00:18:09,155 Brand positioning, voice signifiers, 385 00:18:10,190 --> 00:18:11,157 behaviors, sonic. 386 00:18:11,791 --> 00:18:14,427 All of these things become incredibly important, 387 00:18:15,462 --> 00:18:20,433 incredibly important to be laser sharp on, so that when you do ingest your 388 00:18:21,67 --> 00:18:25,772 data and when you do train the machine, you're able to stand out. 389 00:18:27,307 --> 00:18:30,410 So let's have a look at one other example that I love. 390 00:18:31,378 --> 00:18:33,246 I'm sure you're all familiar with this brand. 391 00:18:33,880 --> 00:18:36,750 We probably could put the colors up and write Backs, and we'd know it's. 392 00:18:37,851 --> 00:18:38,885 it's so iconic. 393 00:18:39,719 --> 00:18:42,255 I think it's really interesting to take a slice of Google 394 00:18:43,289 --> 00:18:46,893 and look at what they're starting to do beyond the logo. 395 00:18:49,629 --> 00:18:52,599 You can see here a number of explorations. 396 00:18:53,400 --> 00:18:57,70 And if you think about this, you can think about maybe how some of these 397 00:18:57,70 --> 00:18:59,539 signifiers will start to show up in an experience, 398 00:19:00,573 --> 00:19:03,610 and one that then makes sure that it is truly identifiable 399 00:19:04,678 --> 00:19:06,413 and distinguished in market. 400 00:19:09,449 --> 00:19:09,916 So 401 00:19:11,618 --> 00:19:14,387 we move from this idea of a brand book 402 00:19:15,155 --> 00:19:16,956 to a brand operating system. 403 00:19:17,691 --> 00:19:19,459 So let's just talk about that a little more. 404 00:19:19,959 --> 00:19:21,428 When we think about a brand book, 405 00:19:22,28 --> 00:19:26,499 we forever and a day, have obsessed over creating brand guidelines, or 406 00:19:26,599 --> 00:19:29,135 books, however they may appear. 407 00:19:29,936 --> 00:19:33,406 And these things are really, I think, going to shift from becoming these 408 00:19:33,473 --> 00:19:36,943 static things to a much more living and breathing organism. 409 00:19:37,377 --> 00:19:41,948 If you think about even our jobs, some jobs have been purely to police the 410 00:19:42,15 --> 00:19:42,182 brand. 411 00:19:42,816 --> 00:19:46,720 So I challenge, instead of policing the brand, you'll be training the brand. 412 00:19:47,320 --> 00:19:48,121 On top of that. 413 00:19:48,355 --> 00:19:52,425 If you think about personalization and how we've driven content, we've often 414 00:19:52,592 --> 00:19:54,661 had to create content and pre approve. 415 00:19:54,894 --> 00:19:55,362 It 416 00:19:55,695 --> 00:19:57,263 will be in a world where 417 00:19:57,931 --> 00:20:02,35 content will be created, but the machine will help, and approval will 418 00:20:02,35 --> 00:20:02,902 happen on the fly. 419 00:20:03,470 --> 00:20:07,707 So how do you think about this thing being a living and breathing organism 420 00:20:08,174 --> 00:20:08,808 for your brand? 421 00:20:11,378 --> 00:20:13,613 So to bring this all together, 422 00:20:14,681 --> 00:20:17,784 if we think about consumers, and we think about those consumers 423 00:20:18,818 --> 00:20:21,121 interfacing with your brand in a different way, 424 00:20:21,454 --> 00:20:24,324 there are some building blocks which are credibly important. 425 00:20:24,758 --> 00:20:27,360 The first building block is the brand os. 426 00:20:28,995 --> 00:20:32,432 And at the very bottom it's the things we've talked about, the voice, the 427 00:20:32,499 --> 00:20:34,267 text, image, behavior, sonic. 428 00:20:34,901 --> 00:20:36,102 How are these things absolutely 429 00:20:37,137 --> 00:20:39,205 distinguished to your brand? 430 00:20:40,106 --> 00:20:44,110 And then obviously all of the kind of other factors that make up your 431 00:20:44,177 --> 00:20:46,880 business, content, product services, etc. 432 00:20:48,915 --> 00:20:53,219 The other layer then is to think about signals, first party, third party data, 433 00:20:54,654 --> 00:20:57,590 explicit or implicit, cultural or contextual. 434 00:20:58,425 --> 00:21:03,163 And I think the magic, so to speak, is when all of that comes together to form 435 00:21:03,530 --> 00:21:04,30 your brand. 436 00:21:04,330 --> 00:21:04,964 AI. 437 00:21:05,532 --> 00:21:08,635 So you've got all of these building blocks and these 438 00:21:09,469 --> 00:21:10,103 parts of the ecosystem 439 00:21:11,137 --> 00:21:12,38 building your brand. 440 00:21:12,172 --> 00:21:12,339 AI. 441 00:21:12,906 --> 00:21:16,643 That then is what serves the consumer at the cold face. 442 00:21:17,944 --> 00:21:22,816 And if done well, and really you've got distinguished elements, it should do 443 00:21:22,916 --> 00:21:25,618 that in a way that makes your brand stand out. 444 00:21:25,852 --> 00:21:29,856 So if I interfaced with Ada or pumor, i'll have a better experience with 445 00:21:29,856 --> 00:21:34,27 Nike, because they maybe have a better defined brand, and they will have more 446 00:21:34,94 --> 00:21:37,297 experiences that they've put together, and they've got a distinguished way of 447 00:21:37,297 --> 00:21:39,32 how to do it and come to the market. 448 00:21:43,703 --> 00:21:47,941 So to bring everything together, we started this talk today, and we talked 449 00:21:48,41 --> 00:21:52,912 about this provocation of moving away from attention and to really driving 450 00:21:53,313 --> 00:21:55,48 intimacy for a brand. 451 00:21:55,548 --> 00:21:59,886 And when we think about that, the first thing is an acknowledgment, that 3 452 00:21:59,953 --> 00:22:05,125 point o experiences and the way that you can deliver in the interface is shifting. 453 00:22:05,959 --> 00:22:07,627 The second thing is promptable brands. 454 00:22:08,661 --> 00:22:10,363 How are you training your brand? 455 00:22:10,897 --> 00:22:15,201 How is your brand not static, but living and breathing organism? 456 00:22:15,935 --> 00:22:17,904 And then customer expectations. 457 00:22:18,571 --> 00:22:21,875 Everything we do is always in service of the customer expectations. 458 00:22:22,909 --> 00:22:27,380 So understanding those expectations is incredibly important, to make sure that 459 00:22:27,380 --> 00:22:27,614 you're developing 460 00:22:28,748 --> 00:22:29,616 experiences 461 00:22:29,783 --> 00:22:30,884 that stand out. 462 00:22:31,384 --> 00:22:36,122 So all in all, we really truly believe that we can move away from building 463 00:22:36,423 --> 00:22:40,760 brands in a mass way, to a more intimate one to one way. 464 00:22:40,894 --> 00:22:43,63 And hopefully we've shown you a little bit about that. 465 00:22:43,129 --> 00:22:43,530 Today 466 00:22:44,30 --> 00:22:45,298 that's all Nick and I have. 467 00:22:45,298 --> 00:22:46,399 And thank you for listening. 38025

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