WEBVTT 1 00:00:00.150 --> 00:00:03.930 Tom, welcoming you and your AWS team to BCG EDGE 2025. 2 00:00:03.930 --> 00:00:05.700 Stephen, thank you for joining us today. 3 00:00:05.700 --> 00:00:08.370 Tom, can you tell me a little bit about how BCG and AWS 4 00:00:08.370 --> 00:00:11.100 are partnering to maximize client value together? 5 00:00:11.100 --> 00:00:15.270 The thing is, we both really focus on customer obsession. 6 00:00:15.270 --> 00:00:16.350 And customer obsession 7 00:00:16.350 --> 00:00:20.310 is around delivering value quickly to our customers. 8 00:00:20.310 --> 00:00:23.070 And we do that in a way by looking at it 9 00:00:23.070 --> 00:00:25.740 and understanding where they are when they start, 10 00:00:25.740 --> 00:00:27.930 find that value quickly, 11 00:00:27.930 --> 00:00:30.420 and then helping them scale with confidence 12 00:00:30.420 --> 00:00:32.130 as quickly as possible. 13 00:00:32.130 --> 00:00:35.670 But transformation doesn't have to be scary. 14 00:00:35.670 --> 00:00:38.790 What we focus on together is making it doable. 15 00:00:38.790 --> 00:00:41.820 And what I mean by that is, we focus on understanding, 16 00:00:41.820 --> 00:00:44.010 again, where they're at, how they're gonna do it, 17 00:00:44.010 --> 00:00:45.840 and how they're gonna scale effectively 18 00:00:45.840 --> 00:00:46.920 to drive that forward. 19 00:00:46.920 --> 00:00:48.450 The other thing is that 20 00:00:48.450 --> 00:00:50.220 that combination that we bring together, 21 00:00:50.220 --> 00:00:51.660 that really excites me. 22 00:00:51.660 --> 00:00:54.090 Because we have deep industry, functional, 23 00:00:54.090 --> 00:00:55.860 and technical expertise, 24 00:00:55.860 --> 00:00:58.020 and we focus on what's practical, 25 00:00:58.020 --> 00:01:01.350 what we can do together to really drive that value. 26 00:01:01.350 --> 00:01:03.510 And I think it's really, what's so exciting, 27 00:01:03.510 --> 00:01:06.180 is when we bring that combination 28 00:01:06.180 --> 00:01:09.510 of real, deep, world-class strategic understanding 29 00:01:09.510 --> 00:01:11.250 and technical expertise 30 00:01:11.250 --> 00:01:14.040 and combine it with innovation at scale. 31 00:01:14.040 --> 00:01:18.870 And with AWS, we bring that high-impact, 32 00:01:18.870 --> 00:01:21.510 cost-effective services that allow them 33 00:01:21.510 --> 00:01:23.100 to bring that innovation 34 00:01:23.100 --> 00:01:26.100 that changes that world-class strategic ideas 35 00:01:26.100 --> 00:01:28.140 into workable solutions that, again, 36 00:01:28.140 --> 00:01:31.230 deliver high-impact value quickly. 37 00:01:31.230 --> 00:01:33.900 I think we're so complementary 38 00:01:33.900 --> 00:01:37.260 because AWS has always had this very deep 39 00:01:37.260 --> 00:01:41.460 CIO, CTO, CDO set of relationships, understanding. 40 00:01:41.460 --> 00:01:44.730 And, as BCG, we work across the C-suites, 41 00:01:44.730 --> 00:01:49.410 and I think the power of deep technology platforms 42 00:01:49.410 --> 00:01:52.680 that really extend all the way up through the top 43 00:01:52.680 --> 00:01:56.130 and BCG's understanding across the business 44 00:01:56.130 --> 00:01:57.420 are super powerful. 45 00:01:57.420 --> 00:01:59.970 And the second thing I'd just say is, 46 00:01:59.970 --> 00:02:03.173 with GenAI in particular, we now have 47 00:02:03.173 --> 00:02:07.770 the type of technology impact is so significant, 48 00:02:07.770 --> 00:02:11.550 it's so potentially significant across the entire business. 49 00:02:11.550 --> 00:02:14.580 And that's where BCG can really play a role with AWS, 50 00:02:14.580 --> 00:02:16.500 and I think it works out very well. 51 00:02:16.500 --> 00:02:17.760 Stephen, we'd love to hear from you, 52 00:02:17.760 --> 00:02:19.920 what are some of the biggest challenges that clients face 53 00:02:19.920 --> 00:02:21.690 when driving transformation at scale? 54 00:02:21.690 --> 00:02:25.080 We actually did a study with AWS 55 00:02:25.080 --> 00:02:27.600 where we looked at the top 20 reasons 56 00:02:27.600 --> 00:02:29.400 that hold people back 57 00:02:29.400 --> 00:02:32.040 from really transforming their businesses 58 00:02:32.040 --> 00:02:33.570 with GenAI specifically. 59 00:02:33.570 --> 00:02:36.150 And the number one reason, 60 00:02:36.150 --> 00:02:37.440 well, the number one, two, and three reasons 61 00:02:37.440 --> 00:02:39.360 are all people- and process-related. 62 00:02:39.360 --> 00:02:41.940 So the number one is lack of talent. 63 00:02:41.940 --> 00:02:44.430 The number two was internal resistance. 64 00:02:44.430 --> 00:02:48.360 The number three was actually ROI-related. 65 00:02:48.360 --> 00:02:49.800 So all three of these are ones 66 00:02:49.800 --> 00:02:54.180 that I think we can work quite well together to help solve. 67 00:02:54.180 --> 00:02:56.370 It's not all a technology answer, 68 00:02:56.370 --> 00:02:59.220 and it's not all a strategy answer either. 69 00:02:59.220 --> 00:03:00.090 It's kind of like, 70 00:03:00.090 --> 00:03:02.670 it's something that requires both to really tackle. 71 00:03:02.670 --> 00:03:04.320 Yeah, Stephen, I totally agree, 72 00:03:04.320 --> 00:03:06.480 and it was a great study that we did together on that. 73 00:03:06.480 --> 00:03:08.190 And I think it's exactly that. 74 00:03:08.190 --> 00:03:09.690 Technology is an enabler, 75 00:03:09.690 --> 00:03:11.670 but without that people and process, 76 00:03:11.670 --> 00:03:13.860 it won't really have the business impact 77 00:03:13.860 --> 00:03:14.910 we're looking to drive. 78 00:03:14.910 --> 00:03:17.220 You can build the best car and the best engine, 79 00:03:17.220 --> 00:03:18.540 but if they don't know how to drive it, 80 00:03:18.540 --> 00:03:20.670 it's not gonna work, right? 81 00:03:20.670 --> 00:03:23.040 Tom, I'd love to hear from you, your AWS perspective, 82 00:03:23.040 --> 00:03:25.890 where and how BCG and AWS have partnered together 83 00:03:25.890 --> 00:03:27.540 to drive outsized client value. 84 00:03:27.540 --> 00:03:28.950 We've partnered for six years, 85 00:03:28.950 --> 00:03:30.090 six and a half years together. 86 00:03:30.090 --> 00:03:32.070 The one that comes to mind is really, again, it's around the 87 00:03:32.070 --> 00:03:36.390 customer, and understanding, with a large automotive firm, 88 00:03:36.390 --> 00:03:38.760 really understanding what is going to be the incentive 89 00:03:38.760 --> 00:03:40.680 that's the right thing for the customer. 90 00:03:40.680 --> 00:03:43.110 And using AI/ML to really understand that, 91 00:03:43.110 --> 00:03:45.690 you can build out a solution that really understands 92 00:03:45.690 --> 00:03:47.250 where they are, what car they're buying, 93 00:03:47.250 --> 00:03:48.600 what time of year it is 94 00:03:48.600 --> 00:03:51.480 to really help them get the right incentive for them. 95 00:03:51.480 --> 00:03:54.390 So it's hard to pick any single one, 96 00:03:54.390 --> 00:03:57.150 but most of our projects today on GenAI 97 00:03:57.150 --> 00:03:58.710 fall into a few of the big categories. 98 00:03:58.710 --> 00:04:01.320 They fall into customer service and support, 99 00:04:01.320 --> 00:04:05.160 they fall into developer and engineering productivity, 100 00:04:05.160 --> 00:04:07.920 and of course they fall into marketing and sales. 101 00:04:07.920 --> 00:04:09.390 And on that first one, 102 00:04:09.390 --> 00:04:11.250 more the customer support and service, 103 00:04:11.250 --> 00:04:13.080 we're seeing huge outsized impact 104 00:04:13.080 --> 00:04:16.410 in telcos and in financial services. 105 00:04:16.410 --> 00:04:17.460 And it tends to be, 106 00:04:17.460 --> 00:04:19.860 we'll see 100% conversion rate improvements, 107 00:04:19.860 --> 00:04:22.890 we'll see 30 to 40% cost savings. 108 00:04:22.890 --> 00:04:24.270 We're seeing fairly big impact, 109 00:04:24.270 --> 00:04:27.120 and I think it's exciting between both of us. 110 00:04:27.120 --> 00:04:30.270 Tom, thank you for joining us today at BCG EDGE 2025. 111 00:04:30.270 --> 00:04:32.100 Thanks for bringing your AWS teams. 112 00:04:32.100 --> 00:04:34.362 Stephen, thank you for your time and insights today. 113 00:04:34.362 --> 00:04:36.945 (bright music)