WEBVTT 00:00:00.625 --> 00:00:04.170 Rob and Sylvain, thank you very much in advance for the time and 00:00:04.170 --> 00:00:05.422 sharing your expertise. 00:00:05.422 --> 00:00:07.007 Looking forward to the conversation. 00:00:07.465 --> 00:00:10.677 Rob, I'm going to start with you, IBM demonstrating its 00:00:10.677 --> 00:00:12.095 commitment to innovation. 00:00:12.095 --> 00:00:15.849 Most recently, I'm looking at watsonx assistants and agents. 00:00:16.099 --> 00:00:19.728 How are these products changing how work gets done? 00:00:20.145 --> 00:00:23.648 I think the discussion has really shifted to AI value 00:00:23.648 --> 00:00:24.232 creation. 00:00:24.399 --> 00:00:26.735 How are you going to get an ROI on what you're doing? 00:00:26.985 --> 00:00:31.364 We've been through the phase of experimentation and fine tuning. 00:00:31.656 --> 00:00:34.659 I think we now hit a tipping point where companies are 00:00:34.659 --> 00:00:37.662 getting value on automating technology and operations. 00:00:37.912 --> 00:00:41.875 Next will be code and developers, assistants than 00:00:41.875 --> 00:00:42.459 agents. 00:00:42.459 --> 00:00:43.043 As you say. 00:00:43.293 --> 00:00:46.004 I'm incredibly excited about agents, but I would say the 00:00:46.004 --> 00:00:46.671 basics matter. 00:00:46.671 --> 00:00:49.758 So I encourage clients start with the basics, then move to 00:00:49.758 --> 00:00:50.133 agents. 00:00:50.341 --> 00:00:54.137 When you're speaking with CEO's, how are they thinking about 00:00:54.137 --> 00:00:54.846 innovation? 00:00:54.846 --> 00:00:56.264 What are they prioritizing? 00:00:56.473 --> 00:00:59.476 So innovation is at the top of the agenda for CEOs, fueled by 00:00:59.476 --> 00:01:02.270 by everything which is happening in the technology field. 00:01:02.687 --> 00:01:04.647 They prioritize three things. 00:01:04.647 --> 00:01:08.693 The first one is building new businesses that did not exist 00:01:08.693 --> 00:01:11.446 before, usually fueled by by innovation. 00:01:11.446 --> 00:01:15.992 The second one is putting AI into their own products, what 00:01:15.992 --> 00:01:19.996 they used to sell before an upgrade with AI inside. 00:01:20.371 --> 00:01:23.958 And the third one is working on the innovation infrastructure, 00:01:23.958 --> 00:01:27.212 recording the the talent, putting in place, the process, 00:01:27.212 --> 00:01:30.590 the investment, the mindset, the culture around innovation. 00:01:30.590 --> 00:01:32.550 That's the three thing that CEOs are after. 00:01:32.550 --> 00:01:35.261 Well, it sounds like completely worthy and important goals. 00:01:35.261 --> 00:01:38.932 So from the perspective of IBM, Rob, how does IBM foster a 00:01:38.932 --> 00:01:42.769 culture of innovation, which arguably is more important than 00:01:42.769 --> 00:01:43.103 ever? 00:01:43.436 --> 00:01:44.187 It definitely is. 00:01:44.187 --> 00:01:47.524 And we've rebuilt the innovation engine in IBM starts with a 00:01:47.524 --> 00:01:48.650 global lab footprint. 00:01:48.942 --> 00:01:52.987 You need skills from all over the world, diverse backgrounds, 00:01:52.987 --> 00:01:55.782 capability to deliver technology quickly. 00:01:55.990 --> 00:01:57.826 2nd is you have to adopt AI. 00:01:58.076 --> 00:02:02.539 We're now generating 6% of our code per year with AII know 00:02:02.539 --> 00:02:05.291 other companies quote huge numbers. 00:02:05.291 --> 00:02:06.918 I'm actually a bit skeptical of that. 00:02:07.127 --> 00:02:10.588 If we can get from six, hopefully then to 2025, that 00:02:10.588 --> 00:02:12.173 will have a huge impact. 00:02:12.465 --> 00:02:13.550 Last is what do you measure? 00:02:13.842 --> 00:02:16.719 We've started adopting Dora metrics for I would say best in 00:02:16.719 --> 00:02:19.347 class metrics for how you measure what you're producing 00:02:19.347 --> 00:02:20.598 and how you're innovating. 00:02:20.890 --> 00:02:22.809 Those three things have had a big impact for us. 00:02:23.184 --> 00:02:24.811 Well, Speaking of impact, I'm curious. 00:02:24.811 --> 00:02:26.312 This question is going to come to you both. 00:02:26.312 --> 00:02:27.480 Sylvian, I'm starting with you. 00:02:27.480 --> 00:02:30.942 What innovation are you most excited about in the New year? 00:02:31.526 --> 00:02:34.070 I'm super excited about the coming of agents. 00:02:34.070 --> 00:02:37.323 And I agree with Rob, it's not the beginning of the journey, 00:02:37.323 --> 00:02:40.451 but it's something that will enhance smart automation that 00:02:40.451 --> 00:02:42.078 many companies are looking for. 00:02:42.453 --> 00:02:45.498 And my bet would be that speaking about the value 00:02:45.498 --> 00:02:49.210 creation, today we are only at 25% of company who do extract 00:02:49.210 --> 00:02:51.296 value out of their AI investment. 00:02:51.296 --> 00:02:55.341 And my bet next year at the end of the year, we'll be at 50% 00:02:55.341 --> 00:02:59.012 thanks to agents, not only but Baki, thanks to agents. 00:02:59.554 --> 00:03:03.224 Rob, the innovation you're most excited about in the new year, 00:03:03.224 --> 00:03:06.477 We released a product last year called Concert, which is 00:03:06.477 --> 00:03:09.856 applying AI to run your IT systems and create resiliency. 00:03:10.315 --> 00:03:13.943 Given everything that happened in technology last year, I would 00:03:13.943 --> 00:03:17.238 say many companies have put a huge focus on resiliency of 00:03:17.238 --> 00:03:18.448 their infrastructure. 00:03:18.656 --> 00:03:20.533 How do they make sure they're always running? 00:03:20.700 --> 00:03:22.160 They can prevent any kind of threats. 00:03:22.160 --> 00:03:26.372 So I'm really excited that we're just scratching the surface and 00:03:26.372 --> 00:03:28.666 how we can apply AI for resiliency. 00:03:28.750 --> 00:03:30.251 We live in amazing times. 00:03:30.501 --> 00:03:31.920 Rob, Sylvain, thank you very much. 00:03:32.253 --> 00:03:32.712 Thank you, Deirdre. 00:03:32.712 --> 00:03:33.087 Thank you.