WEBVTT 00:00:00.083 --> 00:00:03.086 So we are here at AWS re:Invent 00:00:03.086 --> 00:00:06.381 We are talking about the future of the automotive industry 00:00:06.381 --> 00:00:09.843 and generative AI with two experts. 00:00:09.926 --> 00:00:11.511 Maik Leuthold is with us here. 00:00:11.511 --> 00:00:14.889 He is the manager of Gen AI and Advanced Analytics, 00:00:14.973 --> 00:00:18.059 Digitalization and Processes at the BMW Group. 00:00:18.309 --> 00:00:19.853 Andrej Levin is here as well, 00:00:19.853 --> 00:00:24.107 Managing Director and Partner at BCG, Head of BCG X in Central Europe. 00:00:24.315 --> 00:00:27.027 Glad to have you both here. Thanks for the time. 00:00:27.027 --> 00:00:30.030 So Andrej, what is the effect that generative 00:00:30.155 --> 00:00:33.783 AI is having on the automobile industry? 00:00:33.825 --> 00:00:36.828 It was a tremendous unlock of innovation last year. 00:00:37.078 --> 00:00:41.541 We have seen amongst all processes where we generate code, 00:00:41.541 --> 00:00:43.960 where we generate text, we generate pictures. 00:00:43.960 --> 00:00:48.048 GenAI has a right to play to support productivity of our workforce 00:00:48.048 --> 00:00:51.051 and really changing the game. The disruptive energy. 00:00:51.176 --> 00:00:54.596 I have observed in last year is something we have never seen before. 00:00:54.596 --> 00:00:56.056 So pretty exciting. 00:00:56.056 --> 00:00:57.348 It's very exciting. 00:00:57.348 --> 00:01:00.143 So Maik, what are you seeing at the BMW Group? 00:01:00.143 --> 00:01:04.439 How are you incorporating AI into the processes there? 00:01:04.522 --> 00:01:06.316 Well, first of all, generative AI 00:01:06.316 --> 00:01:08.777 is already all about BMW. 00:01:08.777 --> 00:01:12.864 So we see a tremendous pull effect from our employees. 00:01:12.947 --> 00:01:14.365 They want this- 00:01:14.365 --> 00:01:17.077 They want this technology to happen at BMW. 00:01:17.077 --> 00:01:19.788 They have like great sparks, great ideas 00:01:19.788 --> 00:01:23.583 about where we can apply this technology. 00:01:23.666 --> 00:01:27.670 So we see an extreme pull out of the whole organization. 00:01:27.837 --> 00:01:30.757 I want to ask you, where you see the most potential? 00:01:30.757 --> 00:01:33.843 So 2023, truly a banner year. 00:01:33.843 --> 00:01:35.053 We're going to turn the page. 00:01:35.053 --> 00:01:38.014 Where do you see the most potential, Andrej, for 2024? 00:01:38.181 --> 00:01:43.686 2023 was an exciting experiment, but the bar will grow for 2024. 00:01:43.686 --> 00:01:47.690 We have seen impatience for this trend of this technology 00:01:47.690 --> 00:01:51.569 to deliver impact in bottom line. We will see a tremendous pull 00:01:51.569 --> 00:01:54.989 to go from small use cases to big transformation. 00:01:54.989 --> 00:01:57.033 So we are all about scale 00:01:57.033 --> 00:02:00.203 in 2024. So it will be exciting to see this technology 00:02:00.203 --> 00:02:03.706 with this now growing maturity to really change the game for many of us. 00:02:03.790 --> 00:02:06.126 Maik, how do you see the new year? 00:02:06.126 --> 00:02:07.961 Well, I mean, it's similar 00:02:07.961 --> 00:02:09.129 as Andrej said. 00:02:09.129 --> 00:02:12.632 Yeah, we see at BMW that everybody wants to try out 00:02:12.632 --> 00:02:15.969 several use cases but now it's the time to scale it. 00:02:15.969 --> 00:02:16.302 Yeah. 00:02:16.302 --> 00:02:19.681 And we want to unlock the potential in basically two ways 00:02:19.681 --> 00:02:23.935 at BMW. One is from the technology side, we want to create a generative 00:02:23.977 --> 00:02:28.064 AI platform, to basically unlock the full potential in an organization. 00:02:28.148 --> 00:02:32.527 And then on the second side, obviously for our employees, we want to enable them. 00:02:32.610 --> 00:02:34.821 I want to get them in touch with the technology 00:02:34.821 --> 00:02:37.240 because they have currently certain levels. 00:02:37.240 --> 00:02:41.536 Yeah, some of them are already like, playing with the technology 00:02:41.619 --> 00:02:44.622 and some of them haven't heard of ChatGPT yet. 00:02:44.622 --> 00:02:44.998 Yeah. 00:02:44.998 --> 00:02:47.500 We want to basically enable the whole organization 00:02:47.500 --> 00:02:51.004 to use this technology in a transformative way. 00:02:51.087 --> 00:02:52.797 Maik Leuthold, thank you very much. 00:02:52.797 --> 00:02:57.051 Andrej Levin, thank you. Thank you.