WEBVTT 1 00:00:00.120 --> 00:00:02.720 (gentle music) 2 00:00:08.560 --> 00:00:11.440 - I'm here at Siemens headquarters in Munich, Germany, 3 00:00:11.440 --> 00:00:14.920 to meet Rainer Brehm, COO of its automation business 4 00:00:14.920 --> 00:00:17.160 and CTO of Digital Industries. 5 00:00:17.160 --> 00:00:19.840 We're going to talk about the profound transformation 6 00:00:19.840 --> 00:00:22.200 that is taking place at Siemens today. 7 00:00:22.200 --> 00:00:24.360 With the ambition to become a "one tech" company, 8 00:00:24.360 --> 00:00:26.360 Siemens has made a powerful statement 9 00:00:26.360 --> 00:00:29.040 to shape the future of industrial automation. 10 00:00:30.080 --> 00:00:31.400 - Hey Max, welcome to Siemens. 11 00:00:31.400 --> 00:00:32.240 - Good to meet you, Rainer. 12 00:00:32.240 --> 00:00:34.240 - Good to meet you. Let's go inside. 13 00:00:34.240 --> 00:00:37.160 (upbeat music) 14 00:00:37.160 --> 00:00:39.720 - Industrial automation is entering a new phase. 15 00:00:39.720 --> 00:00:42.840 AI is no longer just optimizing processes, 16 00:00:42.840 --> 00:00:44.360 it's starting to reshape 17 00:00:44.360 --> 00:00:46.480 how factories are engineered and operated. 18 00:00:46.480 --> 00:00:49.200 So for you, what is truly different 19 00:00:49.200 --> 00:00:51.440 that makes this moment special? 20 00:00:51.440 --> 00:00:53.280 - Well, AI is nothing new, as you said, 21 00:00:53.280 --> 00:00:55.120 but I think we are really now in the front 22 00:00:55.120 --> 00:00:58.440 of a next kind of super cycle around autonomous systems, 23 00:00:58.440 --> 00:00:59.560 for example. 24 00:00:59.560 --> 00:01:02.520 Generative AI, agentic AI is there. 25 00:01:02.520 --> 00:01:04.600 On the other side, it moves from the digital world 26 00:01:04.600 --> 00:01:07.760 into the real world, which is exciting for factories. 27 00:01:09.760 --> 00:01:13.560 - Now, that combination of physical and digital worlds, 28 00:01:13.560 --> 00:01:16.840 you also sometimes coin that “automate automation.” 29 00:01:16.840 --> 00:01:18.120 What does it actually mean for you, 30 00:01:18.120 --> 00:01:19.800 and also for your customers? 31 00:01:19.800 --> 00:01:24.640 - Well, in the past, you manually programmed your automation. 32 00:01:24.640 --> 00:01:26.920 Can you now automate the programming, 33 00:01:26.920 --> 00:01:30.160 or can you automate the entire workflow for automation? 34 00:01:30.160 --> 00:01:32.920 To enable that, you need technologies like AI, 35 00:01:32.920 --> 00:01:34.200 generative AI agents, 36 00:01:34.200 --> 00:01:36.800 but also topics like software automation, 37 00:01:36.800 --> 00:01:39.960 where you're very flexible of changing automation systems, 38 00:01:39.960 --> 00:01:42.360 or the aspects around digital twins. 39 00:01:42.360 --> 00:01:44.760 But you also need the connected, 40 00:01:44.760 --> 00:01:46.680 physical automation hardware. 41 00:01:48.120 --> 00:01:50.360 - But then what are the biggest barriers 42 00:01:50.360 --> 00:01:54.240 to getting real operational impact from AI now? 43 00:01:54.240 --> 00:01:56.080 - Well, in a factory, things need to run. 44 00:01:56.080 --> 00:02:00.560 That's the highest and most important topic. So, reliability. 45 00:02:00.560 --> 00:02:02.880 Secondly, you don't do it just for fun. 46 00:02:02.880 --> 00:02:04.360 You need to be a return of investment. 47 00:02:04.360 --> 00:02:06.320 You could automate today already more, 48 00:02:06.320 --> 00:02:08.880 but if there's no return of investment, you don't automate. 49 00:02:08.880 --> 00:02:12.200 So how we really get those technologies down, 50 00:02:12.200 --> 00:02:16.080 that you get the return, you can scale it to a good cost. 51 00:02:16.080 --> 00:02:19.560 Third point is, it needs to be maintainable. 52 00:02:19.560 --> 00:02:22.120 It needs to be easy of use, and not by experts, 53 00:02:22.120 --> 00:02:24.840 but by the people running the factory. 54 00:02:24.840 --> 00:02:26.880 - But now, for your customers, 55 00:02:26.880 --> 00:02:28.800 where should they actually get started? 56 00:02:28.800 --> 00:02:30.280 - Well start where the biggest pain point is, 57 00:02:30.280 --> 00:02:33.440 where you have the biggest return of investment, and start there. 58 00:02:33.440 --> 00:02:36.040 Number two, get your data straight, 59 00:02:36.040 --> 00:02:39.080 because that is anyway something you need for the future: 60 00:02:39.080 --> 00:02:40.920 how you get your data ready for AI. 61 00:02:42.000 --> 00:02:43.560 - There's more and more co-innovation 62 00:02:43.560 --> 00:02:46.800 between industrial players, software, and AI leaders. 63 00:02:46.800 --> 00:02:50.200 What role does Siemens want to play in this ecosystem? 64 00:02:50.200 --> 00:02:53.360 - It's supporting an ecosystem with components, 65 00:02:53.360 --> 00:02:56.680 being a builder, but also maybe by orchestrator. 66 00:02:56.680 --> 00:03:00.960 And I think they need to play a role as leader in industry, 67 00:03:00.960 --> 00:03:03.280 on the software side, as on automation side, 68 00:03:03.280 --> 00:03:05.080 to also shape the market. 69 00:03:05.080 --> 00:03:07.600 And there, working with partners like BCG is very important 70 00:03:07.600 --> 00:03:10.440 to also scale it into operations. 71 00:03:11.440 --> 00:03:13.920 - With all the hype on everything around AI, 72 00:03:13.920 --> 00:03:16.240 but also the uncertainty among customers, 73 00:03:16.240 --> 00:03:19.720 what for you defines industrial leadership then? 74 00:03:19.720 --> 00:03:22.680 - Bring it down to what really matters. 75 00:03:22.680 --> 00:03:23.880 So, where to start? 76 00:03:23.880 --> 00:03:27.240 What are really the topics you need to invest in? 77 00:03:27.240 --> 00:03:29.880 Guiding the market, maybe via association, 78 00:03:29.880 --> 00:03:31.040 what are the major topics? 79 00:03:31.040 --> 00:03:33.000 Because at the end you need to play all together. 80 00:03:33.000 --> 00:03:35.280 Not only Siemens; it's an ecosystem. 81 00:03:35.280 --> 00:03:36.120 And number two, 82 00:03:36.120 --> 00:03:38.640 Siemens is transforming to a one tech company. 83 00:03:38.640 --> 00:03:41.280 That means also leadership internally, but also, 84 00:03:41.280 --> 00:03:45.120 how we are empowering our people to use new technology, 85 00:03:45.120 --> 00:03:48.200 how we can take away the fear that something goes wrong. 86 00:03:50.040 --> 00:03:52.320 - Great points. Thanks for your perspective, Rainer. 87 00:03:52.320 --> 00:03:54.240 And I'm wishing you best of success 88 00:03:54.240 --> 00:03:57.040 in shaping the future of industrial automation. 89 00:03:57.040 --> 00:03:58.280 - Thank you, Max. 90 00:03:58.280 --> 00:04:00.040 (bright music)