WEBVTT 00:00:00.000 --> 00:00:02.240 Today is a very important day. 00:00:02.680 --> 00:00:07.000 We are launching our BCG X AI Science Institute. 00:00:07.080 --> 00:00:08.560 We believe in science. 00:00:08.800 --> 00:00:13.080 We think science can unlock a lot in AI and for the world. 00:00:13.160 --> 00:00:18.240 And we are so proud that Adi, you become our global leader 00:00:18.320 --> 00:00:19.400 for our institute. 00:00:19.440 --> 00:00:20.920 And maybe to start with. 00:00:21.720 --> 00:00:22.400 Who are you? 00:00:22.680 --> 00:00:25.120 What brought you to this position, Adi? 00:00:25.720 --> 00:00:26.680 First of all, thank you. 00:00:26.720 --> 00:00:30.240 I'm super excited to lead the AI Science Institute at BCG X. 00:00:30.920 --> 00:00:34.400 I'm a scientist, my PhD and my postdoctoral work 00:00:34.520 --> 00:00:36.880 were all in computational astrophysics. 00:00:36.920 --> 00:00:39.840 So, really thinking about how do we simulate the universe 00:00:39.920 --> 00:00:42.760 and better understand it using computational methods. 00:00:43.120 --> 00:00:46.680 When I left academia, I was really looking to apply 00:00:46.680 --> 00:00:49.320 my skill set and my toolkit in national security 00:00:49.400 --> 00:00:50.360 and public sector. 00:00:50.560 --> 00:00:53.520 So, I partnered with the US Navy to help figure out 00:00:53.560 --> 00:00:54.640 and deploy AI. 00:00:54.840 --> 00:00:56.360 That brought them a ton of value. 00:00:56.920 --> 00:01:00.000 At BCG X, I get to do a bunch of really exciting things. 00:01:00.160 --> 00:01:01.920 One of them is I get to lead our data science 00:01:01.960 --> 00:01:04.840 chapter globally, and I also get to work very closely with 00:01:04.920 --> 00:01:07.760 our aerospace and defense and our public sector clients 00:01:08.040 --> 00:01:11.200 to use AI to unlock big value against 00:01:11.200 --> 00:01:12.720 their most pressing challenges. 00:01:13.120 --> 00:01:16.400 And Adi, why an AI Science Insitute? 00:01:16.480 --> 00:01:18.080 What's your vision for this? 00:01:18.520 --> 00:01:21.200 So, the director, Leonid and I are really excited. 00:01:21.280 --> 00:01:24.400 In a year from now, we are going to hope to have, 00:01:24.560 --> 00:01:27.200 you know, the top science thinkers in the world, 00:01:27.280 --> 00:01:30.360 partnerships with scientific and institutions as well 00:01:30.440 --> 00:01:33.040 as universities, partnerships with our clients 00:01:33.120 --> 00:01:36.360 and their R&D teams, really working to build 00:01:36.440 --> 00:01:41.240 capabilities where AI accelerates and enhances science 00:01:41.560 --> 00:01:43.760 and brings that goodness to the global community. 00:01:44.520 --> 00:01:45.800 That's ambitious. 00:01:45.880 --> 00:01:47.280 Thank you so much, Adi. 00:03:48.560 --> 00:03:50.800 Today is a very important day. 00:03:51.240 --> 00:03:55.560 We are launching our BCG X AI Science Institute. 00:03:55.640 --> 00:03:57.120 We believe in science. 00:03:57.360 --> 00:04:01.640 We think science can unlock a lot in AI and for the world. 00:04:01.720 --> 00:04:06.800 And we are so proud that Adi, you become our global leader 00:04:06.880 --> 00:04:07.960 for our institute. 00:04:08.000 --> 00:04:09.480 And maybe to start with. 00:04:10.280 --> 00:04:10.960 Who are you? 00:04:11.240 --> 00:04:13.680 What brought you to this position, Adi? 00:04:14.280 --> 00:04:15.240 First of all, thank you. 00:04:15.280 --> 00:04:18.800 I'm super excited to lead the AI Science Institute at BCG X. 00:04:19.480 --> 00:04:22.960 I'm a scientist, my PhD and my postdoctoral work 00:04:23.080 --> 00:04:25.440 were all in computational astrophysics. 00:04:25.480 --> 00:04:28.400 So, really thinking about how do we simulate the universe 00:04:28.480 --> 00:04:31.320 and better understand it using computational methods. 00:04:31.680 --> 00:04:35.240 When I left academia, I was really looking to apply 00:04:35.240 --> 00:04:37.880 my skill set and my toolkit in national security 00:04:37.960 --> 00:04:38.920 and public sector. 00:04:39.120 --> 00:04:42.080 So, I partnered with the US Navy to help figure out 00:04:42.120 --> 00:04:43.200 and deploy AI. 00:04:43.400 --> 00:04:44.920 That brought them a ton of value. 00:04:45.480 --> 00:04:48.560 At BCG X, I get to do a bunch of really exciting things. 00:04:48.720 --> 00:04:50.480 One of them is I get to lead our data science 00:04:50.520 --> 00:04:53.400 chapter globally, and I also get to work very closely with 00:04:53.480 --> 00:04:56.320 our aerospace and defense and our public sector clients 00:04:56.600 --> 00:04:59.760 to use AI to unlock big value against 00:04:59.760 --> 00:05:01.280 their most pressing challenges. 00:05:01.680 --> 00:05:04.960 And Adi, why an AI Science Insitute? 00:05:05.040 --> 00:05:06.640 What's your vision for this? 00:05:07.160 --> 00:05:11.120 The vision for the AI Science Institute at BCG X is really 00:05:11.200 --> 00:05:15.440 all about how I can work together with science to unlock 00:05:15.520 --> 00:05:19.440 value for the global community even faster. 00:05:19.520 --> 00:05:24.480 So, AI is going through a massive revolution right now, 00:05:25.040 --> 00:05:30.080 and we want to take the top science thinkers, and we want 00:05:30.160 --> 00:05:33.840 to bring the top technologists in the world and really partner 00:05:33.920 --> 00:05:37.200 them with our clients through deep partnerships and research 00:05:37.280 --> 00:05:41.400 and development, to figure out how AI can fit into the science 00:05:41.480 --> 00:05:45.600 workflow in order to get science to the hands of the 00:05:45.680 --> 00:05:47.320 people who need it faster. 00:05:47.400 --> 00:05:49.320 So, that's quite a vision Adi. 00:05:49.360 --> 00:05:52.000 Any accomplishments so far from your teams? 00:05:52.480 --> 00:05:53.120 Yes. 00:05:53.200 --> 00:05:54.760 I'm really excited to share two. 00:05:55.800 --> 00:05:57.680 The first is a partnership we have with Merck, 00:05:58.080 --> 00:06:01.480 where we've built foundation models called Teddy, 00:06:01.480 --> 00:06:05.160 and they've been peer reviewed and science reviewed that are really all 00:06:05.240 --> 00:06:08.640 about working with biomedical researchers to expedite 00:06:08.640 --> 00:06:12.160 the drug discovery timeline and bring life saving capability 00:06:12.240 --> 00:06:13.520 to people sooner. 00:06:13.800 --> 00:06:19.280 The second is what a space agency, where we're using vast data sets 00:06:19.280 --> 00:06:23.440 from satellites to build a whole new suite of foundational models 00:06:23.720 --> 00:06:26.880 that are all about more accurate weather predictions, 00:06:27.040 --> 00:06:30.480 but also opening up a new frontier for climate modeling. 00:06:30.840 --> 00:06:32.160 So, that's what we have. 00:06:32.400 --> 00:06:37.400 If we think one year from now, what will the institute look like? 00:06:37.760 --> 00:06:38.360 Yes. 00:06:38.440 --> 00:06:41.120 So, the director, Leonid and I are really excited. 00:06:41.200 --> 00:06:44.320 In a year from now, we are going to hope to have, 00:06:44.480 --> 00:06:47.120 you know, the top science thinkers in the world, 00:06:47.200 --> 00:06:50.280 partnerships with scientific and institutions as well 00:06:50.360 --> 00:06:52.960 as universities, partnerships with our clients 00:06:53.040 --> 00:06:56.280 and their R&D teams, really working to build 00:06:56.360 --> 00:07:01.160 capabilities where AI accelerates and enhances science 00:07:01.480 --> 00:07:03.680 and brings that goodness to the global community. 00:07:04.440 --> 00:07:05.720 That's ambitious. 00:07:05.800 --> 00:07:07.200 Thank you so much, Adi.