WEBVTT 1 00:00:00.417 --> 00:00:01.793 - This is real. 2 00:00:01.793 --> 00:00:03.169 It's gonna happen faster 3 00:00:03.169 --> 00:00:05.797 and broader than I think any technology that has hit us. 4 00:00:05.797 --> 00:00:08.049 - Roger, Vikas, agentic. 5 00:00:08.049 --> 00:00:09.926 That particular word seems like 6 00:00:09.926 --> 00:00:11.845 it's the buzz word of the year. 7 00:00:11.845 --> 00:00:13.972 You ask anybody, they're all saying agentic. 8 00:00:13.972 --> 00:00:17.267 But what's really going on with this? 9 00:00:17.267 --> 00:00:20.729 - Duarte, I think what we're seeing is a real range. 10 00:00:20.729 --> 00:00:23.523 There are some clients of mine 11 00:00:23.523 --> 00:00:25.900 that are actually very deep in agentic. 12 00:00:25.900 --> 00:00:29.195 There's a CEO I know who literally spends his time 13 00:00:29.195 --> 00:00:30.864 with three keyboards. 14 00:00:30.864 --> 00:00:34.701 He's working, you know, three computer screens, 15 00:00:34.701 --> 00:00:38.621 looking at agents doing a variety of different tasks 16 00:00:38.621 --> 00:00:42.208 that he used to have people on his executive team doing 17 00:00:42.208 --> 00:00:43.126 in the past. 18 00:00:43.126 --> 00:00:46.880 And so he's actually really amplifying his ability 19 00:00:46.880 --> 00:00:49.299 as an executive and his team's ability 20 00:00:49.299 --> 00:00:51.342 as executives using agentic. 21 00:00:51.342 --> 00:00:52.552 So that's one extreme. 22 00:00:52.552 --> 00:00:56.598 I would say that that's probably a rare example 23 00:00:56.598 --> 00:00:58.725 to find in the wild currently. 24 00:00:58.725 --> 00:01:01.978 The vast majority of clients I find are actually trying, 25 00:01:01.978 --> 00:01:06.149 you know, specific use cases in a particular domain, 26 00:01:06.149 --> 00:01:09.360 something along those lines, a bit more experimental 27 00:01:09.360 --> 00:01:10.987 and beginning to see some value. 28 00:01:10.987 --> 00:01:13.490 - Roger, how are you seeing it play out? 29 00:01:14.532 --> 00:01:16.951 I'd say very similar to Vikas. 30 00:01:16.951 --> 00:01:19.162 I think it's one of those, the future is here, 31 00:01:19.162 --> 00:01:21.831 but it's not evenly distributed type problems. 32 00:01:23.291 --> 00:01:25.752 I think there's evidence of just profound value 33 00:01:25.752 --> 00:01:29.297 across the board, across a range of almost every industry, 34 00:01:29.297 --> 00:01:30.965 a multitude of different use cases. 35 00:01:30.965 --> 00:01:33.593 And so when I look at it, you know, 36 00:01:33.593 --> 00:01:36.596 I've stared at many technologies through my career. 37 00:01:36.596 --> 00:01:38.348 I've worked with Vikas on this as well. 38 00:01:38.348 --> 00:01:40.850 I mean, there are so many that arrived 39 00:01:40.850 --> 00:01:43.603 and then we waited so long for it to really have impact. 40 00:01:43.603 --> 00:01:46.523 I think agentic, to me, the wake-up call 41 00:01:46.523 --> 00:01:49.692 for every company is, this is real. 42 00:01:49.692 --> 00:01:51.069 It's gonna happen faster 43 00:01:51.069 --> 00:01:53.947 and broader than I think any technology that has hit us. 44 00:01:53.947 --> 00:01:55.949 Everyone's trying to get to that point 45 00:01:55.949 --> 00:01:57.200 where they're using agentic, 46 00:01:57.200 --> 00:01:59.702 and I'm talking about these more capable 47 00:01:59.702 --> 00:02:04.165 action-oriented AI systems, in order to drive real value. 48 00:02:04.165 --> 00:02:05.750 When companies come to you 49 00:02:05.750 --> 00:02:07.877 and they're starting their agentic journey, 50 00:02:07.877 --> 00:02:09.796 what are some of the challenges that they're facing 51 00:02:09.796 --> 00:02:10.755 and what do you tell them? 52 00:02:10.755 --> 00:02:13.508 - We've looked at a lot of these success cases 53 00:02:13.508 --> 00:02:14.551 and we try and talk to 'em about 54 00:02:14.551 --> 00:02:16.010 what is the patterns of success 55 00:02:16.010 --> 00:02:17.470 to help overcome those challenges. 56 00:02:17.470 --> 00:02:19.097 And so if I net that out, 57 00:02:19.097 --> 00:02:21.766 one is kind of a leadership and organization, 58 00:02:21.766 --> 00:02:22.934 all the way from the CEO 59 00:02:22.934 --> 00:02:26.020 to the frontline worker adopting this technology. 60 00:02:26.020 --> 00:02:28.481 Second of all is starting in the right domain spaces. 61 00:02:28.481 --> 00:02:30.567 So we talk about purposeful processes, 62 00:02:30.567 --> 00:02:32.861 doing things that have proven ROI, 63 00:02:32.861 --> 00:02:34.612 so you can learn this technology 64 00:02:34.612 --> 00:02:36.114 and kind of build the muscle. 65 00:02:36.114 --> 00:02:38.575 The third thing is a data journey. 66 00:02:38.575 --> 00:02:41.828 So data quality has always been a good thing to do. 67 00:02:41.828 --> 00:02:44.455 Now there's so much more gold at the end of the rainbow 68 00:02:44.455 --> 00:02:45.915 in terms of what you can do with agentic. 69 00:02:45.915 --> 00:02:49.169 It's worth making the investment in data quality in a way 70 00:02:49.169 --> 00:02:51.045 that hadn't been before. 71 00:02:51.045 --> 00:02:53.631 The fourth is getting to technical architecture, 72 00:02:53.631 --> 00:02:57.051 and that means looking at the environments 73 00:02:57.051 --> 00:02:59.929 in which you execute technology and have your data 74 00:02:59.929 --> 00:03:01.723 and bringing them together 75 00:03:01.723 --> 00:03:04.893 and having more platform engineering across environments. 76 00:03:04.893 --> 00:03:09.189 And what we've learned is that if you give agents more data 77 00:03:09.189 --> 00:03:11.399 from across that environment, if you give them tools 78 00:03:11.399 --> 00:03:13.234 that can take actions across that environment, 79 00:03:13.234 --> 00:03:14.277 they deliver more value. 80 00:03:14.277 --> 00:03:17.113 So we have to think about the entire technology environment. 81 00:03:17.113 --> 00:03:20.366 - Where is BCG playing a role? 82 00:03:20.366 --> 00:03:22.243 What's the partnership here? 83 00:03:22.243 --> 00:03:26.331 - BCG, we have a framework which we call 10-20-70. 84 00:03:26.331 --> 00:03:29.334 When you look at a new technology adoption, 85 00:03:29.334 --> 00:03:32.003 and I think it applies to agentic as well, 86 00:03:32.003 --> 00:03:37.008 we think about 10% or so of the constraint in really getting 87 00:03:37.008 --> 00:03:39.552 to the adoption being the technology itself. 88 00:03:39.552 --> 00:03:42.096 And look, the technology is incredible. 89 00:03:42.096 --> 00:03:44.349 20% of the constraint we think is the data. 90 00:03:44.349 --> 00:03:45.725 And you know, Roger touched on that, 91 00:03:45.725 --> 00:03:48.519 the importance of having a good... 92 00:03:48.519 --> 00:03:50.563 a single source of truth, 93 00:03:50.563 --> 00:03:52.690 a quality data that you can rely on. 94 00:03:52.690 --> 00:03:56.653 The 70% of the constraint we believe is change management. 95 00:03:56.653 --> 00:03:58.112 - 70%? - 70% 96 00:03:58.112 --> 00:03:59.322 we believe is change management. 97 00:03:59.322 --> 00:04:00.907 So if you think about a... 98 00:04:00.907 --> 00:04:03.743 If you think about this in the context of agentic, 99 00:04:03.743 --> 00:04:06.704 individual's roles, whether you're an executive 100 00:04:06.704 --> 00:04:11.084 or you're a frontline coder, change in a very substantive 101 00:04:11.084 --> 00:04:12.335 and dramatic way. 102 00:04:12.335 --> 00:04:15.463 And so you have to really make people comfortable 103 00:04:15.463 --> 00:04:18.258 with that change that's going happen. 104 00:04:18.258 --> 00:04:21.970 And so really, that's the heart of the focus for BCG 105 00:04:21.970 --> 00:04:24.264 is enabling the change management 106 00:04:24.264 --> 00:04:25.848 and putting the change management 107 00:04:25.848 --> 00:04:28.476 for the new technology in the context 108 00:04:28.476 --> 00:04:32.146 of the overall value creation for the business. 109 00:04:32.146 --> 00:04:36.359 - Let's talk about bottom lines, measurable results. 110 00:04:36.359 --> 00:04:39.988 When you've seen companies deploying agentic, 111 00:04:39.988 --> 00:04:42.156 where have you seen the measurable results? 112 00:04:42.156 --> 00:04:46.494 - If you take all of Gen AI, we've been on a journey again 113 00:04:46.494 --> 00:04:49.163 with BCG's help on our own transformation. 114 00:04:49.163 --> 00:04:52.417 So for IBM, we're gonna exit this year at... 115 00:04:52.417 --> 00:04:56.045 Our best estimate is a $4.5 billion dollar better run rate 116 00:04:56.045 --> 00:04:57.588 than we had three or four years ago. 117 00:04:57.588 --> 00:04:59.424 Now, that's not all going straight to the bottom line. 118 00:04:59.424 --> 00:05:01.843 That is also being reinvested in innovation. 119 00:05:01.843 --> 00:05:03.803 And so we look at that as a proven ROI. 120 00:05:03.803 --> 00:05:05.888 But I'd say I look at a framework of kind 121 00:05:05.888 --> 00:05:08.141 of raise the floor, break the ceiling. 122 00:05:08.141 --> 00:05:10.268 Raising the floor is what we've done on productivity. 123 00:05:10.268 --> 00:05:13.604 Today's best process can be tomorrow's worst. 124 00:05:13.604 --> 00:05:16.357 I'm really excited about what's coming on break the ceiling, 125 00:05:16.357 --> 00:05:18.776 which is new business models, new product lines, 126 00:05:18.776 --> 00:05:20.111 new areas that are emerging. 127 00:05:20.111 --> 00:05:22.447 Over time, companies will do that, 128 00:05:22.447 --> 00:05:25.199 raise the floor, build their technology skills, 129 00:05:25.199 --> 00:05:28.578 and then that will give them the technical platforms, 130 00:05:28.578 --> 00:05:29.912 the skills, the willingness 131 00:05:29.912 --> 00:05:31.456 to change the lines, and to break the ceiling. 132 00:05:31.456 --> 00:05:33.624 That's where business transformation's really gonna come 133 00:05:33.624 --> 00:05:34.709 from in the longer run. 134 00:05:34.709 --> 00:05:37.253 (bright music)