1 00:00:00,040 --> 00:00:01,960 Speaker 1: Hi, everybody. So a few months ago, I was in 2 00:00:01,960 --> 00:00:03,640 Speaker 1: a class at my gym and a friend of mine 3 00:00:03,640 --> 00:00:05,240 Speaker 1: comes up to me and says, Hey, have you heard 4 00:00:05,240 --> 00:00:08,680 Speaker 1: a BP launch Pad? I'm getting recruited by them. I hadn't, 5 00:00:08,720 --> 00:00:10,360 Speaker 1: so I texted another friend of mine who works at 6 00:00:10,400 --> 00:00:14,040 Speaker 1: BP to find out if he'd heard about it. No, nothing, anyway. 7 00:00:14,080 --> 00:00:17,000 Speaker 1: Fast forward three months later, BP launch Pad has made 8 00:00:17,000 --> 00:00:19,520 Speaker 1: its debut and is billing itself as a quote scale 9 00:00:19,560 --> 00:00:22,720 Speaker 1: up factory, taking innovations made in BP, putting them in 10 00:00:22,840 --> 00:00:26,320 Speaker 1: this incubator to become standalone businesses and or business units 11 00:00:26,320 --> 00:00:29,080 Speaker 1: of BP. The first to come out of launch Pad 12 00:00:29,160 --> 00:00:31,680 Speaker 1: is a business called LIT that's l y t t. 13 00:00:32,120 --> 00:00:35,600 Speaker 1: Apparently LIT stands for listening Norwegian. They describe it as 14 00:00:35,640 --> 00:00:38,560 Speaker 1: sort of a Shazam for boreholes, listening down the well 15 00:00:38,680 --> 00:00:42,400 Speaker 1: to identify conditions and potential problems. The strategy of going 16 00:00:42,440 --> 00:00:45,880 Speaker 1: after technologies to optimize operations is not unique to b P. 17 00:00:46,159 --> 00:00:49,040 Speaker 1: It's definitely not alone in this. Most, if not all, 18 00:00:49,120 --> 00:00:52,000 Speaker 1: oil majors are going all in on digital technologies to 19 00:00:52,080 --> 00:00:56,000 Speaker 1: optimize operations and keep costs down. Exactly where they focus 20 00:00:56,040 --> 00:00:58,280 Speaker 1: their attention and strategy seems to be influenced by the 21 00:00:58,320 --> 00:01:00,960 Speaker 1: personalities of the companies them else or at least the 22 00:01:00,960 --> 00:01:03,640 Speaker 1: exacts in the companies. What do I mean by that? Well, 23 00:01:03,720 --> 00:01:06,320 Speaker 1: we brought in two BENF analysts to help us unpack that. 24 00:01:06,520 --> 00:01:08,920 Speaker 1: We've got Claire Curry, who leads benfs coverage of all 25 00:01:08,959 --> 00:01:11,640 Speaker 1: things digital, along with Hannah Davenroy, who wrote the report 26 00:01:11,680 --> 00:01:14,840 Speaker 1: we're gonna talk about today, Digitalization Strategies of Oil Majors, 27 00:01:14,959 --> 00:01:17,839 Speaker 1: published on June nineteen. BEANEF clients can find this report 28 00:01:17,840 --> 00:01:20,039 Speaker 1: by a quick search on benf dot com, the BENF 29 00:01:20,040 --> 00:01:22,720 Speaker 1: Mobile app, or benf Go on terminal. Please note that 30 00:01:22,760 --> 00:01:24,960 Speaker 1: BENF does not provide investment or strategy advice, and you 31 00:01:25,000 --> 00:01:26,640 Speaker 1: can hear the full disclaimer at the end of the show. 32 00:01:26,760 --> 00:01:28,960 Speaker 1: I'm Mark Taylor, head of product for BENF, and you're 33 00:01:28,959 --> 00:01:34,920 Speaker 1: listening to switch down the BENF podcast. Claire, Hannah, Welcome, Hi, 34 00:01:35,120 --> 00:01:36,920 Speaker 1: Hi Mark, thanks for coming in. Thanks so much for 35 00:01:36,959 --> 00:01:38,440 Speaker 1: having us today. When I was reading this, I was 36 00:01:38,480 --> 00:01:40,679 Speaker 1: thinking why, you know, like, why does an oil company 37 00:01:40,680 --> 00:01:43,160 Speaker 1: want to be a tech company? Should we just start there? Hannah? 38 00:01:43,160 --> 00:01:45,160 Speaker 1: How about you sure we can start there? I think 39 00:01:45,280 --> 00:01:49,720 Speaker 1: oil companies are seeing the value of digital technologies in 40 00:01:49,800 --> 00:01:53,360 Speaker 1: spaces like consumer but there's a lot of disruption to 41 00:01:53,400 --> 00:01:58,080 Speaker 1: their core business also, So you see oil companies diversifying 42 00:01:58,200 --> 00:02:02,320 Speaker 1: into the power sector, and you see them wanting to 43 00:02:02,360 --> 00:02:06,000 Speaker 1: shrink their cost of operating their core business. And one 44 00:02:06,000 --> 00:02:10,000 Speaker 1: way that they're achieving this efficiency is by applying digital 45 00:02:10,000 --> 00:02:14,480 Speaker 1: technologies to track data across their business operations. So an 46 00:02:14,480 --> 00:02:18,679 Speaker 1: oil company will see places for improvement in in their 47 00:02:18,720 --> 00:02:22,079 Speaker 1: business and think that the collection of data through sensors, 48 00:02:22,080 --> 00:02:26,040 Speaker 1: through comms networks, and through large aggregating platforms like cloud 49 00:02:26,040 --> 00:02:30,680 Speaker 1: computing will actually enable them to make better business decisions 50 00:02:30,760 --> 00:02:35,480 Speaker 1: about how to allocate their capital and how to better 51 00:02:35,560 --> 00:02:38,640 Speaker 1: manage their their operating costs. Does it seem like it's working. 52 00:02:38,840 --> 00:02:41,520 Speaker 1: It's hard to say. I think oil companies are very 53 00:02:41,600 --> 00:02:45,119 Speaker 1: much in the early stage of scaling digital projects from 54 00:02:45,400 --> 00:02:49,640 Speaker 1: proof of concept or pilot projects to their operations across 55 00:02:50,000 --> 00:02:54,600 Speaker 1: their enterprise um and I can't imagine it's a clean transition. No, 56 00:02:54,880 --> 00:02:57,720 Speaker 1: especially since you have to remember that oil majors have 57 00:02:57,880 --> 00:03:01,240 Speaker 1: hundreds of thousands of employees across many many countries, and 58 00:03:01,280 --> 00:03:04,840 Speaker 1: so coordinating these efforts on a culture level as well 59 00:03:04,880 --> 00:03:08,200 Speaker 1: as sort of a business organization level, it's quite difficult. 60 00:03:08,440 --> 00:03:09,840 Speaker 1: So we see a lot of oil companies that are 61 00:03:09,840 --> 00:03:12,840 Speaker 1: actually setting up new departments and teams both within their 62 00:03:12,840 --> 00:03:15,920 Speaker 1: core business but also in their venture capital arms to 63 00:03:16,120 --> 00:03:20,880 Speaker 1: encourage collaboration on this on on these digital technology projects 64 00:03:21,320 --> 00:03:26,040 Speaker 1: UM across different types of their their their employee groups. 65 00:03:26,160 --> 00:03:28,000 Speaker 1: Is this more of a venture play for these oil 66 00:03:28,040 --> 00:03:30,000 Speaker 1: companies now or is it part of their core strategy. 67 00:03:30,040 --> 00:03:32,040 Speaker 1: It's very much part of their core strategy. We check 68 00:03:32,400 --> 00:03:36,160 Speaker 1: how oil companies make their their venture investments, and in 69 00:03:36,200 --> 00:03:38,920 Speaker 1: a lot of cases, especially with the European oil majors 70 00:03:39,320 --> 00:03:42,160 Speaker 1: like BP and Shell, a lot of their focus has 71 00:03:42,160 --> 00:03:46,760 Speaker 1: been on on diversifying into power assets. While they do 72 00:03:46,920 --> 00:03:53,480 Speaker 1: make pretty substantial investments into digital startups, it seems like 73 00:03:54,240 --> 00:03:58,240 Speaker 1: this is often to access the technology UM for for 74 00:03:58,320 --> 00:04:02,920 Speaker 1: pilot projects and then how up these businesses have access 75 00:04:02,960 --> 00:04:06,600 Speaker 1: to the domain knowledge, the oil assets, how the business 76 00:04:06,600 --> 00:04:09,200 Speaker 1: operates UM in order to give them a better understanding 77 00:04:09,240 --> 00:04:12,640 Speaker 1: of the industry. Innovation is really hard. You look at 78 00:04:12,840 --> 00:04:16,560 Speaker 1: Google right innovative tech company. They really struggle to spin 79 00:04:16,600 --> 00:04:19,680 Speaker 1: out startups and spin out new technologies that really work. 80 00:04:19,720 --> 00:04:21,800 Speaker 1: They've had a series of very public failures of just 81 00:04:21,920 --> 00:04:25,200 Speaker 1: getting innovation and new tech right you think about like 82 00:04:25,400 --> 00:04:27,960 Speaker 1: X on VP Shell they have hundreds of thousand employees 83 00:04:27,960 --> 00:04:31,120 Speaker 1: are often lifers. Oil companies are very siloed, so you 84 00:04:31,200 --> 00:04:33,719 Speaker 1: have the I T team does it T the guys 85 00:04:33,720 --> 00:04:35,240 Speaker 1: on the oil rigs or on oil rig for a 86 00:04:35,320 --> 00:04:38,320 Speaker 1: month they don't speak. And what companies that Hannah has 87 00:04:38,320 --> 00:04:41,200 Speaker 1: been writing about, like Equanore so in Um kind of 88 00:04:41,240 --> 00:04:43,720 Speaker 1: the North Sea, have been trying to get those guys 89 00:04:43,720 --> 00:04:47,560 Speaker 1: on the oil rig to become I people. And they're 90 00:04:47,600 --> 00:04:49,920 Speaker 1: doing sprints, They're doing scrums, are things that like your 91 00:04:49,960 --> 00:04:53,120 Speaker 1: product team knows well. They're beginning to spin out apps 92 00:04:53,440 --> 00:04:56,120 Speaker 1: to put onto this cloud platform they've built, and it's 93 00:04:56,160 --> 00:04:59,240 Speaker 1: the operations guys doing it, and I T is kind 94 00:04:59,279 --> 00:05:02,000 Speaker 1: of beginning talk to them and support them. So it's 95 00:05:02,000 --> 00:05:04,120 Speaker 1: actually really cool. It sounds slow and it's hard to 96 00:05:04,120 --> 00:05:06,320 Speaker 1: measure benefits, but these are companies that are the biggest 97 00:05:06,320 --> 00:05:08,920 Speaker 1: in the world, often the slowest, most old fashioned, and 98 00:05:08,920 --> 00:05:12,400 Speaker 1: they're actually doing some really interesting innovative things. It's got 99 00:05:12,480 --> 00:05:13,840 Speaker 1: to be so hard. It's got to be so hard, 100 00:05:13,880 --> 00:05:17,080 Speaker 1: because I find communication and getting adoption of new tech 101 00:05:17,200 --> 00:05:19,719 Speaker 1: just in our small area of Bloomberg is hard. I 102 00:05:19,760 --> 00:05:22,080 Speaker 1: can't imagine it could be any type of easy on oil, 103 00:05:22,120 --> 00:05:23,400 Speaker 1: you know, with all these guys on the oil rig, 104 00:05:23,520 --> 00:05:26,279 Speaker 1: especially because they have legacy systems. Right some oil majors 105 00:05:26,560 --> 00:05:29,839 Speaker 1: will leave unnamed, you know, have one or two partners 106 00:05:29,880 --> 00:05:35,000 Speaker 1: they do everything with. And these traditional enterprise software companies 107 00:05:35,080 --> 00:05:39,720 Speaker 1: are not innovating around digitalization IoT AI, and so if 108 00:05:39,760 --> 00:05:41,680 Speaker 1: you're a big oil major, what do you do? You 109 00:05:41,680 --> 00:05:44,800 Speaker 1: have this multimillion dollar contract with a big RP company 110 00:05:44,800 --> 00:05:46,560 Speaker 1: that served you well, but they're not doing what you 111 00:05:46,560 --> 00:05:48,200 Speaker 1: want to do? Do you rip them out? If you 112 00:05:48,279 --> 00:05:51,280 Speaker 1: do that, that's huge. I don't know how you do that. 113 00:05:51,320 --> 00:05:54,680 Speaker 1: I don't know how a company really changes so significantly 114 00:05:54,720 --> 00:05:56,360 Speaker 1: their partnerships, which is kind of what some of these 115 00:05:56,360 --> 00:05:59,880 Speaker 1: guys are thinking about doing a slow breakup I know, yeah, 116 00:06:00,160 --> 00:06:02,360 Speaker 1: and hiring to write I mean then they no one's 117 00:06:02,400 --> 00:06:04,120 Speaker 1: doing this. How many companies are trying to hire a 118 00:06:04,200 --> 00:06:07,240 Speaker 1: data scientists right now? If your data scientists you want 119 00:06:07,240 --> 00:06:09,920 Speaker 1: to like a Google or Exon in Texas, well, that's 120 00:06:09,960 --> 00:06:11,960 Speaker 1: like different. Maybe that's an easy joy to make, but 121 00:06:11,960 --> 00:06:13,919 Speaker 1: it means that it's hard to hire the right people, 122 00:06:14,040 --> 00:06:16,840 Speaker 1: the right talent. I think that these oil majors struggle too, 123 00:06:17,120 --> 00:06:20,960 Speaker 1: is making sure that they are retaining the technology and 124 00:06:21,000 --> 00:06:24,200 Speaker 1: talent in house. So you hire people that that may 125 00:06:24,240 --> 00:06:27,520 Speaker 1: eventually leave, but you want to make sure that the 126 00:06:27,560 --> 00:06:30,239 Speaker 1: people who are working on these projects will be able 127 00:06:30,279 --> 00:06:34,640 Speaker 1: to sustain the scaling of the technology to completion. So, 128 00:06:35,160 --> 00:06:39,359 Speaker 1: for example, BP, as Claire mentioned, has an interesting approach 129 00:06:39,400 --> 00:06:43,320 Speaker 1: to this. They have set up an internal business group 130 00:06:43,360 --> 00:06:47,239 Speaker 1: called BP launch Pad and BP Launch Pads entire goal 131 00:06:47,880 --> 00:06:51,920 Speaker 1: is to hire small teams both externally and internally, to 132 00:06:52,080 --> 00:06:56,440 Speaker 1: take promising technology and scale it across the company, as 133 00:06:56,480 --> 00:06:59,520 Speaker 1: well as start to commercialize this technology and sell it 134 00:06:59,560 --> 00:07:02,400 Speaker 1: to its years. Which is an interesting approach because you 135 00:07:02,480 --> 00:07:07,080 Speaker 1: see oil companies that are very protective of their intellectual 136 00:07:07,080 --> 00:07:09,359 Speaker 1: property and of the data that they collect and what 137 00:07:09,400 --> 00:07:12,280 Speaker 1: they end up doing with that data. Obviously, if you 138 00:07:12,360 --> 00:07:16,800 Speaker 1: are able to achieve big efficiency games through these digital projects, 139 00:07:16,880 --> 00:07:19,520 Speaker 1: that is very valuable to your business and you might 140 00:07:19,520 --> 00:07:21,680 Speaker 1: not want to share that with your peers. But we 141 00:07:21,760 --> 00:07:24,960 Speaker 1: also see that commercializing technology is a way to scale 142 00:07:25,000 --> 00:07:27,840 Speaker 1: it across across the business. So is their goal in 143 00:07:27,880 --> 00:07:30,920 Speaker 1: sharing with their peers getting better data to make their 144 00:07:31,040 --> 00:07:34,120 Speaker 1: themselves more efficient or is it just simply a revenue 145 00:07:34,160 --> 00:07:37,240 Speaker 1: stream a lot of its um marketing incomes. I think 146 00:07:37,440 --> 00:07:39,560 Speaker 1: maybe this is be being cynical. I think a lot 147 00:07:39,560 --> 00:07:41,360 Speaker 1: of this stuff is if you're a big oil major, 148 00:07:42,080 --> 00:07:44,160 Speaker 1: there's a lot of disruption. As Hannah said, you're dealing 149 00:07:44,200 --> 00:07:45,920 Speaker 1: with that. He might go into power. You're dealing with it. 150 00:07:46,040 --> 00:07:49,120 Speaker 1: Maybe the threat of electric vehicles with regulation emissions and 151 00:07:49,120 --> 00:07:51,400 Speaker 1: so forth. A lot of the really big companies. I 152 00:07:51,400 --> 00:07:53,960 Speaker 1: think you're thinking about it like this is great pr 153 00:07:54,200 --> 00:07:57,560 Speaker 1: We are doing something new, innovative. We're using AI. Every 154 00:07:57,600 --> 00:08:00,600 Speaker 1: partnership we announced with Google gets tons of hits. We 155 00:08:00,680 --> 00:08:03,480 Speaker 1: love talking about this at conferences. Our CEO now can 156 00:08:03,520 --> 00:08:05,760 Speaker 1: go and talk about this new thing we're doing, and 157 00:08:05,800 --> 00:08:08,600 Speaker 1: it gives us a view of it just makes people 158 00:08:08,680 --> 00:08:11,520 Speaker 1: feel like we're the reasonally new and even innovative, and 159 00:08:11,560 --> 00:08:14,120 Speaker 1: if it helps to reduce safety concerns, right, which a 160 00:08:14,120 --> 00:08:15,760 Speaker 1: lot of this stuff is about safety of the minimum 161 00:08:15,760 --> 00:08:17,400 Speaker 1: and who work for them. A lot of it's about 162 00:08:17,400 --> 00:08:20,480 Speaker 1: CEO two emissions and tracking that better. It's about completing 163 00:08:20,520 --> 00:08:23,800 Speaker 1: wells faster, which is an environmental bonus. So that's my 164 00:08:23,960 --> 00:08:27,440 Speaker 1: cynical opinion. I think Hannah would probably a bit more 165 00:08:27,680 --> 00:08:29,640 Speaker 1: positive about their views, but I think I mean, I 166 00:08:29,640 --> 00:08:31,520 Speaker 1: guess you wrote about it. Well, it sounds to me 167 00:08:31,600 --> 00:08:35,160 Speaker 1: like it's also definitely revenue streams, maybe marketing within paer 168 00:08:35,200 --> 00:08:38,800 Speaker 1: groups in a way to engage more with customers who 169 00:08:38,880 --> 00:08:42,240 Speaker 1: are using your downstream products. So we see a lot 170 00:08:42,320 --> 00:08:46,439 Speaker 1: of the outward facing technology that oil majors are developing 171 00:08:46,600 --> 00:08:48,680 Speaker 1: in the form of mobile apps that allow them to 172 00:08:48,840 --> 00:08:52,319 Speaker 1: communicate better with their customers, to track retail sales at 173 00:08:52,360 --> 00:08:56,560 Speaker 1: their at their petrol stations, um and that type of 174 00:08:57,000 --> 00:09:01,360 Speaker 1: data collection and point of communicytion with their customers is 175 00:09:01,400 --> 00:09:04,400 Speaker 1: something that they see as as very valuable both consumers 176 00:09:04,400 --> 00:09:06,920 Speaker 1: like you or I who would drive the drive our 177 00:09:06,960 --> 00:09:11,560 Speaker 1: cars to a gas station me neither actually, or they're 178 00:09:11,600 --> 00:09:15,839 Speaker 1: they're larger commercial customers, like in like in maritime applications. 179 00:09:16,160 --> 00:09:20,120 Speaker 1: So another example of this is Shell has recently spun 180 00:09:20,200 --> 00:09:24,040 Speaker 1: out an application for its maritime customers called Acuport that 181 00:09:24,200 --> 00:09:28,679 Speaker 1: forecasts lubricant needs for ships entering and exiting ports so 182 00:09:28,720 --> 00:09:31,360 Speaker 1: that they can better better organize their supply chain to 183 00:09:31,440 --> 00:09:34,080 Speaker 1: meet the needs of their customers. Where the customers are 184 00:09:34,120 --> 00:09:36,360 Speaker 1: and when they need that lubricant, so'll be waiting for 185 00:09:36,400 --> 00:09:41,760 Speaker 1: them when they when they dock exactly pretty cool. So 186 00:09:41,800 --> 00:09:44,240 Speaker 1: if the oil companies can become tech companies, why is 187 00:09:44,280 --> 00:09:48,280 Speaker 1: this not spreading into other areas like utilities, which sort 188 00:09:48,320 --> 00:09:50,960 Speaker 1: of put that out. I think my gut is utilities 189 00:09:51,040 --> 00:09:54,760 Speaker 1: days themselves tech fans. I mean Portugaist the oil sector. 190 00:09:55,160 --> 00:09:57,560 Speaker 1: The oil companies were technology companies in sort of about 191 00:09:57,559 --> 00:10:00,920 Speaker 1: a decade ago. Due to I am Gen oil press 192 00:10:00,960 --> 00:10:04,160 Speaker 1: crashes and consolidation, a lot of them basically said, okay, 193 00:10:04,280 --> 00:10:06,160 Speaker 1: we're not going to own a tech we just want 194 00:10:06,200 --> 00:10:09,360 Speaker 1: Baker Hughes or Haliber not Smerdy to own this for us. 195 00:10:09,400 --> 00:10:11,719 Speaker 1: So now a lot of them actually really they own 196 00:10:11,760 --> 00:10:14,079 Speaker 1: the oil field and they have employees and they kind 197 00:10:14,080 --> 00:10:15,960 Speaker 1: of have the name of whatever it is. But actually 198 00:10:16,080 --> 00:10:18,680 Speaker 1: the technology of the exploration and the digging up of 199 00:10:18,720 --> 00:10:22,000 Speaker 1: the commodity is actually on the oil field services companies. 200 00:10:22,040 --> 00:10:23,880 Speaker 1: So I think a lot of these big oil majors 201 00:10:23,880 --> 00:10:26,200 Speaker 1: still see them all as tech firms because they were historically, 202 00:10:26,240 --> 00:10:28,120 Speaker 1: and they're now not so much. They're more asset owners 203 00:10:28,160 --> 00:10:30,960 Speaker 1: now and traders. I mean Shell. Most of Shell's business 204 00:10:31,000 --> 00:10:35,079 Speaker 1: is now selling stuff. It's not exploring. It's not any technology. 205 00:10:35,120 --> 00:10:37,680 Speaker 1: It's really transporting it to a gas station or selling 206 00:10:37,720 --> 00:10:40,480 Speaker 1: to shipping companies, and so they see those tech firms. 207 00:10:40,520 --> 00:10:42,760 Speaker 1: A lot of them I think have doted scientists anyway, 208 00:10:42,760 --> 00:10:44,920 Speaker 1: because they still like the idea of doing kind of 209 00:10:44,960 --> 00:10:48,120 Speaker 1: geoscience are stuff. Utilities are small at businesses. If your 210 00:10:48,200 --> 00:10:50,440 Speaker 1: utility that has twenty thousand employees, you're not gonna as 211 00:10:50,440 --> 00:10:53,000 Speaker 1: opposed to a hundred thousand employees, You're probably not going 212 00:10:53,040 --> 00:10:56,520 Speaker 1: to be thinking about this. Also, utilities outsourced so much. 213 00:10:56,600 --> 00:10:59,160 Speaker 1: I mean, they really don't mean I don't want to 214 00:10:59,200 --> 00:11:01,520 Speaker 1: diss them. They I don't think really like a grid 215 00:11:01,520 --> 00:11:05,480 Speaker 1: owner necessarily knows as much as like a Schneider Electric 216 00:11:05,559 --> 00:11:07,840 Speaker 1: might do about their grid. And I'll give a little 217 00:11:07,880 --> 00:11:10,880 Speaker 1: bit of a different perspective. I think oil companies also 218 00:11:11,080 --> 00:11:15,040 Speaker 1: have experience working with multiple partners at the same time. 219 00:11:15,320 --> 00:11:18,079 Speaker 1: So if you're doing an offshore project, you might have 220 00:11:18,480 --> 00:11:21,640 Speaker 1: fifty to a hundred different companies that are working with 221 00:11:21,679 --> 00:11:24,559 Speaker 1: you on the execution of that project, everything from food 222 00:11:24,559 --> 00:11:29,479 Speaker 1: services to the technology firm that's providing your underwater vehicle services. 223 00:11:29,559 --> 00:11:33,520 Speaker 1: But I think organizing all of these companies to orchestrate 224 00:11:33,520 --> 00:11:36,760 Speaker 1: a large project is something that oil companies have a 225 00:11:36,800 --> 00:11:40,640 Speaker 1: big advantage here, and and utilities may catch up in 226 00:11:40,679 --> 00:11:45,880 Speaker 1: this project organization and relationship organization, especially with lots of 227 00:11:46,440 --> 00:11:51,880 Speaker 1: small startup vendors, but oil companies have had the advantage 228 00:11:51,920 --> 00:11:54,000 Speaker 1: there for for a long time. At what point do 229 00:11:54,160 --> 00:11:56,880 Speaker 1: oil companies by the startup that they're working with or 230 00:11:56,960 --> 00:11:58,840 Speaker 1: how often does that happen, or do they leave them 231 00:11:58,880 --> 00:12:02,200 Speaker 1: as vendors or we haven't seen that. Match Shell has 232 00:12:02,240 --> 00:12:04,360 Speaker 1: brought up a couple of like distribut entity companies on 233 00:12:04,400 --> 00:12:07,360 Speaker 1: the power side, But with tech and oil, it's kind 234 00:12:07,360 --> 00:12:11,400 Speaker 1: of interesting. I think a lot of oil startups are 235 00:12:11,559 --> 00:12:14,839 Speaker 1: very specific, so they're not doing general AI. They're doing 236 00:12:15,040 --> 00:12:17,679 Speaker 1: AI on this one thing that tends to fail on 237 00:12:18,000 --> 00:12:21,760 Speaker 1: offshore rigs in the Gulf of Mexico. UM. So, as 238 00:12:21,800 --> 00:12:23,720 Speaker 1: Hannah was saying, a lot of oil companies are very 239 00:12:23,920 --> 00:12:26,480 Speaker 1: a lot of oil service providers a very specialist. So 240 00:12:26,559 --> 00:12:29,160 Speaker 1: if you are opening up a new well in West Texas, 241 00:12:29,200 --> 00:12:31,080 Speaker 1: you know who to go to for each of the things. 242 00:12:31,320 --> 00:12:33,440 Speaker 1: There's no one guy that's going to do everything for you. 243 00:12:34,040 --> 00:12:36,319 Speaker 1: I think it seems to be similar with startups. So 244 00:12:36,440 --> 00:12:39,320 Speaker 1: BP might work with Kelvin AI, for instance, on a 245 00:12:39,360 --> 00:12:42,840 Speaker 1: particular field UM that's interesting for them to do AI. 246 00:12:42,960 --> 00:12:45,000 Speaker 1: Put it to maintenance on they might never work with 247 00:12:45,000 --> 00:12:46,880 Speaker 1: them again because a lot of the fields are somewhere else. 248 00:12:47,280 --> 00:12:49,240 Speaker 1: I know if there's a regional play to it too. 249 00:12:49,360 --> 00:12:52,640 Speaker 1: I also don't think the vcs oil companies go for 250 00:12:52,760 --> 00:12:55,800 Speaker 1: acquisition necessarily. But do you have a different view on 251 00:12:55,800 --> 00:12:57,680 Speaker 1: the Hannah, No, I think you're right that that's not 252 00:12:57,760 --> 00:13:01,480 Speaker 1: something we see a lot of companies have focused a 253 00:13:01,480 --> 00:13:06,199 Speaker 1: lot on building out incubation centers for startups that they 254 00:13:06,240 --> 00:13:10,600 Speaker 1: find promising, but often that's to access their technology, not 255 00:13:11,040 --> 00:13:14,320 Speaker 1: um as a separate company, not to not to acquire them, 256 00:13:14,360 --> 00:13:17,360 Speaker 1: I think is what we've seen. Let's go back to 257 00:13:17,400 --> 00:13:21,120 Speaker 1: the PR for a second. So abus, Microsoft is your 258 00:13:21,520 --> 00:13:24,800 Speaker 1: Google cloud, right, they're building themselves as green you know, 259 00:13:25,000 --> 00:13:27,960 Speaker 1: moving us into the future, powering their data centers with 260 00:13:28,200 --> 00:13:30,960 Speaker 1: wind and solar. Yet they are helping on these oil 261 00:13:30,960 --> 00:13:35,880 Speaker 1: companies pump more oil. So is there is there cred intact? Yeah, 262 00:13:35,920 --> 00:13:37,880 Speaker 1: this is a great question because we're actually been having 263 00:13:37,920 --> 00:13:40,640 Speaker 1: some conversations with some some clients about this who want 264 00:13:40,679 --> 00:13:43,480 Speaker 1: to know how much, Yeah, how much is what they're 265 00:13:43,480 --> 00:13:47,480 Speaker 1: doing greenwash and ifs or Microsoft really wants to push 266 00:13:47,480 --> 00:13:52,920 Speaker 1: into renewables force for powering their data centers. But they're 267 00:13:52,960 --> 00:13:55,680 Speaker 1: using the data centers, which is that cloud computing to 268 00:13:55,800 --> 00:13:58,880 Speaker 1: help find more oil, Like, what is what is going 269 00:13:58,920 --> 00:14:00,440 Speaker 1: on there? And how are they commune? Not in a 270 00:14:00,480 --> 00:14:02,920 Speaker 1: PR way, they're not we actually, I mean kind I 271 00:14:02,960 --> 00:14:04,720 Speaker 1: share with me an article a month or two ago. 272 00:14:04,760 --> 00:14:07,800 Speaker 1: Now that kind of slamming aws because at their big 273 00:14:07,840 --> 00:14:11,199 Speaker 1: conferences they say oil is our major target as an 274 00:14:11,200 --> 00:14:13,560 Speaker 1: industry now moving away from consumer we kind of got 275 00:14:13,559 --> 00:14:16,920 Speaker 1: consumering retail down. They're a huge market share owner. I 276 00:14:17,040 --> 00:14:19,120 Speaker 1: want to move into industry. Oil makes sense for us. 277 00:14:19,120 --> 00:14:21,720 Speaker 1: This is what we're going to pursue. Their hiring in 278 00:14:21,760 --> 00:14:23,800 Speaker 1: the head of Google Cloud for energy as an x 279 00:14:23,840 --> 00:14:27,880 Speaker 1: BP guy. They're hiring people from industry, but yet you 280 00:14:27,880 --> 00:14:29,560 Speaker 1: don't see that much in their coms and PR. You 281 00:14:29,600 --> 00:14:33,120 Speaker 1: see a lot of the stuff around renewables procurement. Yes, 282 00:14:33,160 --> 00:14:36,800 Speaker 1: they're they're also a many headed company who can believe 283 00:14:36,840 --> 00:14:38,200 Speaker 1: a lot of things at the same time. And that's 284 00:14:38,200 --> 00:14:41,440 Speaker 1: probably okay. Everyone's like that. Um, I don't know, what 285 00:14:41,520 --> 00:14:44,160 Speaker 1: do you think? King of Oil companies have had some 286 00:14:44,240 --> 00:14:47,920 Speaker 1: of the largest supercomputers commercially in the world for years 287 00:14:47,920 --> 00:14:50,400 Speaker 1: and years and years. So this is the compute power 288 00:14:50,480 --> 00:14:52,560 Speaker 1: that they require, and the and the data storage if 289 00:14:52,560 --> 00:14:57,880 Speaker 1: they require, especially for the seismic exploration data that they acquire, 290 00:14:58,400 --> 00:15:02,280 Speaker 1: is the need to very large. So this is I 291 00:15:02,320 --> 00:15:05,720 Speaker 1: think cloud computing will be the way that these companies 292 00:15:06,040 --> 00:15:08,760 Speaker 1: fill that need eventually and are moving in that direction. 293 00:15:09,040 --> 00:15:13,720 Speaker 1: And quite frankly, if aws, Microsoft and Google don't serve 294 00:15:13,760 --> 00:15:17,280 Speaker 1: these industries, someone else will. And because of the amount 295 00:15:17,320 --> 00:15:19,400 Speaker 1: of data that they need and the compute powever they need, 296 00:15:19,440 --> 00:15:22,600 Speaker 1: it's a very large opportunity for for these cloud computing companies. 297 00:15:22,720 --> 00:15:24,960 Speaker 1: And actually they found power pretty hard. A lot of 298 00:15:25,000 --> 00:15:27,680 Speaker 1: startups and a lot of big tech firms look at 299 00:15:27,680 --> 00:15:30,320 Speaker 1: the utilities first, because power isn't a lot more strained 300 00:15:30,400 --> 00:15:35,200 Speaker 1: from just general market circumstances renewables, etcetera. But regulation has 301 00:15:35,240 --> 00:15:38,320 Speaker 1: really been a stimy. I mean in the US, utilities 302 00:15:38,320 --> 00:15:40,840 Speaker 1: can't pay for cloud computing and rate bas it. By that, 303 00:15:40,920 --> 00:15:43,520 Speaker 1: I mean they can't make a return on the investment. 304 00:15:44,120 --> 00:15:46,680 Speaker 1: If they buy their own data center and build it themselves, 305 00:15:46,840 --> 00:15:48,800 Speaker 1: they can make your return on that super expensive to 306 00:15:48,800 --> 00:15:50,920 Speaker 1: them to do and also why would they hire people 307 00:15:50,960 --> 00:15:52,880 Speaker 1: to do that, It's just not their business. If they 308 00:15:52,920 --> 00:15:57,680 Speaker 1: buy um computing capacity from Microsoft, they don't get any 309 00:15:57,680 --> 00:15:59,720 Speaker 1: return on that. They can do it obviously, but for 310 00:15:59,720 --> 00:16:02,280 Speaker 1: their ahold is it's not a good investment. The same 311 00:16:02,320 --> 00:16:05,880 Speaker 1: with working with some startups on software. They can't rebase 312 00:16:05,920 --> 00:16:08,720 Speaker 1: any software and that's been they say, that's been a 313 00:16:08,760 --> 00:16:11,320 Speaker 1: big barrier. There is some we actually wade about this 314 00:16:11,400 --> 00:16:13,920 Speaker 1: last year. There are some states looking at trying to 315 00:16:14,000 --> 00:16:16,240 Speaker 1: change that in the US, but oil companies aren't really 316 00:16:16,320 --> 00:16:21,280 Speaker 1: hindered by regulation in that sense, they completely. I would 317 00:16:21,320 --> 00:16:24,600 Speaker 1: love to talk about policy because some of the stuff 318 00:16:24,640 --> 00:16:28,000 Speaker 1: that Hannah's found out in a report is really interesting 319 00:16:28,040 --> 00:16:30,880 Speaker 1: about how policy has been a driver for innovation in oil, 320 00:16:31,440 --> 00:16:34,120 Speaker 1: not on the regulation side or actually on the regulation side, 321 00:16:34,160 --> 00:16:36,760 Speaker 1: I guess at that Quanore, but but especially thinking about China, 322 00:16:36,840 --> 00:16:39,200 Speaker 1: for instance, can you share a little bit about kind 323 00:16:39,200 --> 00:16:42,000 Speaker 1: of what Cinepex doing and how Chinese policy has really 324 00:16:42,000 --> 00:16:46,440 Speaker 1: impacted their strategy. Sure, so in China the government is 325 00:16:46,960 --> 00:16:51,440 Speaker 1: very interested in industrial technology and using some of the 326 00:16:51,480 --> 00:16:54,640 Speaker 1: technologies like AI that it's developed in other domains and 327 00:16:54,920 --> 00:16:57,600 Speaker 1: making sure that spreads to some of its valuable businesses. 328 00:16:58,160 --> 00:17:02,760 Speaker 1: So CINEPEC has act really partnered with Huawei in China 329 00:17:02,920 --> 00:17:07,760 Speaker 1: to develop a manufacturing platform and in industrial Internet of 330 00:17:07,800 --> 00:17:11,880 Speaker 1: things based manufacturing platform, and it hopes to sell that 331 00:17:11,920 --> 00:17:16,399 Speaker 1: platform to other manufacturing industries, so like refining, which is 332 00:17:16,400 --> 00:17:20,000 Speaker 1: cinepex main business, but other manufacturers as well in order 333 00:17:20,000 --> 00:17:23,800 Speaker 1: to spread that technology. So China actually identifies market leaders 334 00:17:23,920 --> 00:17:27,720 Speaker 1: in specific industries and mandates that they developed this technology 335 00:17:27,960 --> 00:17:31,960 Speaker 1: that that then they can disseminate to other other companies, 336 00:17:32,200 --> 00:17:35,320 Speaker 1: including their competitors. Do you see that elsewhere? Is it 337 00:17:35,359 --> 00:17:39,560 Speaker 1: just China? Well so, so I mentioned Equino earlier in 338 00:17:39,600 --> 00:17:43,400 Speaker 1: a way that the government in Norway has also been 339 00:17:43,440 --> 00:17:47,960 Speaker 1: pushing a little bit around environmental regulation, pushing UM Equino 340 00:17:48,080 --> 00:17:50,840 Speaker 1: to begin to think about sharing and its data or 341 00:17:50,880 --> 00:17:53,400 Speaker 1: publishing its data. So I could not actually dumped basically 342 00:17:53,440 --> 00:17:56,280 Speaker 1: on the Internet every single data point it has from 343 00:17:56,280 --> 00:17:59,600 Speaker 1: its fields in a way that people can use UM 344 00:17:59,640 --> 00:18:01,720 Speaker 1: and then and build this IoT platform. And I think 345 00:18:02,359 --> 00:18:04,840 Speaker 1: regulation played a part there, and they are beginning well 346 00:18:04,920 --> 00:18:07,160 Speaker 1: I don't know, I mean we think they will begin 347 00:18:07,240 --> 00:18:10,240 Speaker 1: to try and push pays to share too and to 348 00:18:10,280 --> 00:18:12,840 Speaker 1: maybe even use that platform. That's it's not entirely clear 349 00:18:12,880 --> 00:18:14,600 Speaker 1: what their strategy is there, but it sounds like that 350 00:18:14,640 --> 00:18:17,399 Speaker 1: could be something that is regulation driven. And definitely the 351 00:18:17,520 --> 00:18:20,920 Speaker 1: point on data sharing is really important because oil companies 352 00:18:21,040 --> 00:18:24,400 Speaker 1: have kept their data very, very close to the core 353 00:18:24,440 --> 00:18:27,080 Speaker 1: of their business for a long time. UM as I mentioned, 354 00:18:27,080 --> 00:18:32,240 Speaker 1: it's very valuable, but there's an increased awareness that actually 355 00:18:32,280 --> 00:18:37,640 Speaker 1: sharing data across different different companies or uh different fields 356 00:18:38,040 --> 00:18:43,080 Speaker 1: might actually illuminate more patterns and really enable more efficiency 357 00:18:43,119 --> 00:18:46,320 Speaker 1: when you're doing something like drilling in the North Sea. 358 00:18:46,560 --> 00:18:49,240 Speaker 1: So if you have data from equanor and and Shell 359 00:18:49,800 --> 00:18:54,480 Speaker 1: on their experience drilling and producing oil, there UM being 360 00:18:54,520 --> 00:18:58,720 Speaker 1: able to integrate that and then UM use that data 361 00:18:58,800 --> 00:19:01,640 Speaker 1: to build your own rolls of what the subsurface looks 362 00:19:01,680 --> 00:19:04,800 Speaker 1: like or what production conditions look like. That's very valuable 363 00:19:04,960 --> 00:19:08,120 Speaker 1: and Equinoar definitely has been on the forefront of opening 364 00:19:08,240 --> 00:19:10,520 Speaker 1: its its field data up to the public and to 365 00:19:10,680 --> 00:19:14,400 Speaker 1: researchers and to its competitors, even UM and I think 366 00:19:14,400 --> 00:19:17,479 Speaker 1: we expect that that will continue, that there will be 367 00:19:17,600 --> 00:19:24,200 Speaker 1: data exchanges and more shared use of technology, both data 368 00:19:24,240 --> 00:19:27,080 Speaker 1: and algorithms in the future future wind future, this year, 369 00:19:27,160 --> 00:19:30,480 Speaker 1: next year, five years. First the oil companies need to 370 00:19:31,000 --> 00:19:34,000 Speaker 1: organize their data. Maybe maybe five years's it. There's an 371 00:19:34,000 --> 00:19:36,879 Speaker 1: interesting trend that's a bit utilities and oil companies are 372 00:19:36,880 --> 00:19:40,840 Speaker 1: similar in a way, and often they react to market conditions. 373 00:19:40,880 --> 00:19:43,240 Speaker 1: And what we've seen in utilities is the most forward. 374 00:19:43,280 --> 00:19:46,159 Speaker 1: The utilities around digitalization are your n ls n g 375 00:19:46,359 --> 00:19:48,359 Speaker 1: s who are in Europe. They have a lot of solo, 376 00:19:48,400 --> 00:19:50,880 Speaker 1: a lot of wind, a lot of customer chain, rooftop 377 00:19:50,920 --> 00:19:52,959 Speaker 1: solar things and regulation and they're the ones that are 378 00:19:53,000 --> 00:19:55,520 Speaker 1: really saying we have to do this tech because if 379 00:19:55,520 --> 00:19:59,520 Speaker 1: we don't kind of screwed. And with oil we've seen 380 00:20:00,040 --> 00:20:02,679 Speaker 1: like the shale revolution in the US and a huge 381 00:20:03,320 --> 00:20:07,719 Speaker 1: rush of small companies that are pretty interesting UM oil 382 00:20:07,720 --> 00:20:11,360 Speaker 1: companies moving into Texas for instance, and being to think, 383 00:20:11,359 --> 00:20:13,159 Speaker 1: how do we get shale out of the ground quicker. 384 00:20:13,440 --> 00:20:17,080 Speaker 1: The amazing technology revolution in the last twenty odd years 385 00:20:17,160 --> 00:20:20,600 Speaker 1: or fifteen years has been the shale revolution. And what 386 00:20:20,640 --> 00:20:24,120 Speaker 1: we've seen is digital technologies be adopted by those companies 387 00:20:24,160 --> 00:20:28,800 Speaker 1: first excellent, slow moving big company. They're adopting cloud computing 388 00:20:28,800 --> 00:20:32,560 Speaker 1: in Microsoft, but in their shale fields particularly. So there's 389 00:20:32,560 --> 00:20:35,400 Speaker 1: some companies who are doing more revolutionary stuff around tech 390 00:20:35,880 --> 00:20:37,760 Speaker 1: in the areas that need it most, which is shale 391 00:20:38,720 --> 00:20:42,120 Speaker 1: right now. UM And to Hannah's point there, I think 392 00:20:42,119 --> 00:20:44,200 Speaker 1: we're going to see data sharing their first We're already 393 00:20:44,240 --> 00:20:47,280 Speaker 1: beginning to see companies, small companies trying to get data 394 00:20:47,320 --> 00:20:50,520 Speaker 1: shared across shale fields, trying to use me blockchain or 395 00:20:50,600 --> 00:20:54,600 Speaker 1: some form of distributed ledger to help companies securely upload data, 396 00:20:54,800 --> 00:20:58,320 Speaker 1: to sell data, to have this platform and this environment 397 00:20:58,560 --> 00:21:02,200 Speaker 1: that for now may only be in Texas because that's 398 00:21:02,200 --> 00:21:04,159 Speaker 1: where it's needed, because all these wells, they just need 399 00:21:04,200 --> 00:21:06,800 Speaker 1: to share so much data what's going on because it's confusing. 400 00:21:06,840 --> 00:21:10,040 Speaker 1: Everyone is different. There's no conventional understanding geoscientist when we 401 00:21:10,119 --> 00:21:13,480 Speaker 1: work there. And that's really interesting. So I think, yes, now, 402 00:21:13,800 --> 00:21:16,920 Speaker 1: data sharing for maybe areas that need it, but areas 403 00:21:16,960 --> 00:21:20,040 Speaker 1: where like where Equino is or in the Gulf Mexico, 404 00:21:20,200 --> 00:21:23,920 Speaker 1: or and then somewhere else whereas one company owns the 405 00:21:24,080 --> 00:21:27,360 Speaker 1: entire mileage, maybe not so much. And and a key 406 00:21:27,400 --> 00:21:32,359 Speaker 1: follow to that is that greenfield projects will inherently have 407 00:21:32,560 --> 00:21:37,480 Speaker 1: more technology and the most updated sensors and communication gateways 408 00:21:37,760 --> 00:21:41,320 Speaker 1: built in. And so we see that green field projects 409 00:21:41,800 --> 00:21:46,560 Speaker 1: are often equipped with a lot more data gathering capability 410 00:21:46,960 --> 00:21:51,240 Speaker 1: than you know, the cost of retrofitting an oil rig 411 00:21:51,280 --> 00:21:55,160 Speaker 1: with sensors and and communication networks, it's very expensive. So 412 00:21:55,320 --> 00:21:59,639 Speaker 1: we definitely expect that the digital technology will follow the 413 00:22:00,160 --> 00:22:03,480 Speaker 1: process and more hardware technology that Claire was mentioning, especially 414 00:22:03,520 --> 00:22:06,359 Speaker 1: around shale. What is the one thing that you'd like 415 00:22:06,359 --> 00:22:08,520 Speaker 1: readers to take away from this report. I think for 416 00:22:08,600 --> 00:22:13,960 Speaker 1: oil majors, digital is no longer a function that's just 417 00:22:14,359 --> 00:22:19,440 Speaker 1: shoved away into the I T business groups, that it's 418 00:22:19,480 --> 00:22:25,080 Speaker 1: become of a huge strategic priority for executives at these 419 00:22:25,119 --> 00:22:29,200 Speaker 1: oil companies to make sure that technology is spreading from 420 00:22:29,240 --> 00:22:32,480 Speaker 1: their upstream through their downstream operations, that they're able to 421 00:22:32,520 --> 00:22:36,280 Speaker 1: integrate these pilot projects and proof of concept projects that 422 00:22:36,320 --> 00:22:39,879 Speaker 1: they have developed over the last several years and able 423 00:22:39,920 --> 00:22:44,359 Speaker 1: to integrate that into a larger enterprise wide strategy. So 424 00:22:44,400 --> 00:22:46,439 Speaker 1: we see a lot of companies that are partnering with 425 00:22:46,840 --> 00:22:50,640 Speaker 1: cloud company or cloud computing companies in order to achieve that, 426 00:22:51,000 --> 00:22:55,840 Speaker 1: But we also see a lot of internal reorganization around 427 00:22:56,000 --> 00:22:58,159 Speaker 1: around the digital topic. Do you feel like this is 428 00:22:58,280 --> 00:23:00,920 Speaker 1: defensive or offensive to keep up with the times already 429 00:23:00,920 --> 00:23:02,560 Speaker 1: get ahead of the curve depends on the company that 430 00:23:02,600 --> 00:23:06,280 Speaker 1: you're talking about. There's certainly certainly companies like Equinoor and 431 00:23:06,359 --> 00:23:10,280 Speaker 1: VP are using this as a way to um really 432 00:23:10,600 --> 00:23:13,160 Speaker 1: get ahead of their peers UM and then you see 433 00:23:13,280 --> 00:23:16,840 Speaker 1: other companies who are, although maybe a little bit more 434 00:23:16,840 --> 00:23:20,240 Speaker 1: cautious with the technologies that they're adopting, not looking quite 435 00:23:20,240 --> 00:23:24,600 Speaker 1: as far in the future and adopting more mature technologies. 436 00:23:24,760 --> 00:23:27,600 Speaker 1: We see those companies as trying to keep up with 437 00:23:27,640 --> 00:23:31,560 Speaker 1: their their peers and adopt what's available today instead of 438 00:23:31,600 --> 00:23:34,320 Speaker 1: thinking further down the line. What I would say is, 439 00:23:34,640 --> 00:23:37,679 Speaker 1: please read this report. Whoever is listening to this, who 440 00:23:37,760 --> 00:23:41,480 Speaker 1: has been a subscription, It's really cool. There's an amazing UM. 441 00:23:41,760 --> 00:23:43,320 Speaker 1: But with something we're trying out as a team is 442 00:23:43,320 --> 00:23:47,639 Speaker 1: to think about how you UM judge company strategy. The 443 00:23:47,720 --> 00:23:49,880 Speaker 1: key takeaway from me if this report is every oil 444 00:23:49,880 --> 00:23:53,600 Speaker 1: company is different. Personality of the oil company matters massively. 445 00:23:54,080 --> 00:23:56,679 Speaker 1: They're very top down managed, so personality of the CEO 446 00:23:56,880 --> 00:23:59,639 Speaker 1: for instances as small a thing as that could truly 447 00:23:59,680 --> 00:24:01,200 Speaker 1: direct the way a company goes. You've seen that with 448 00:24:01,240 --> 00:24:04,960 Speaker 1: BP and x ON through the years. This report quantifies 449 00:24:05,040 --> 00:24:07,919 Speaker 1: and in a way the strategy of every company and 450 00:24:07,960 --> 00:24:11,080 Speaker 1: shows that every oil company could go about things entirely 451 00:24:11,119 --> 00:24:13,520 Speaker 1: differently and it's still not be the wrong way. They 452 00:24:13,520 --> 00:24:17,440 Speaker 1: could entirely outsource everything and it could be great or 453 00:24:17,480 --> 00:24:19,240 Speaker 1: they could insource everything. How a ton of dy to 454 00:24:19,280 --> 00:24:23,080 Speaker 1: scientists build out entire new apps and technologies and actually 455 00:24:23,160 --> 00:24:25,160 Speaker 1: lose their way, or that all could be great. I mean, 456 00:24:25,240 --> 00:24:26,560 Speaker 1: so the way we've tried to build this is a 457 00:24:26,560 --> 00:24:31,040 Speaker 1: strategy mapper tool kind of helps readers see where each 458 00:24:31,080 --> 00:24:33,520 Speaker 1: of these majors are and where they could go. And 459 00:24:34,359 --> 00:24:36,960 Speaker 1: we we stopped short of giving advice, but I think 460 00:24:36,960 --> 00:24:39,960 Speaker 1: it's a really nice way of trying to illustrate how 461 00:24:40,119 --> 00:24:44,240 Speaker 1: personality makes a difference. Anna Claire, thanks for joining us. 462 00:24:44,840 --> 00:24:47,080 Speaker 1: That was really fun. Thanks for having us fun. Thanks. 463 00:24:51,480 --> 00:24:54,520 Speaker 1: Bloomberg is a service provided by Bloomberg Finance LP and 464 00:24:54,520 --> 00:24:57,399 Speaker 1: its affiliates. This recording does not constitute, nor it should 465 00:24:57,400 --> 00:25:00,639 Speaker 1: it be construed as investment advice, investment recommend dations, or 466 00:25:00,680 --> 00:25:04,040 Speaker 1: a recommendation as to an investment or other strategy. Bloomberginny 467 00:25:04,080 --> 00:25:06,880 Speaker 1: F should not be considered as information sufficient upon which 468 00:25:06,880 --> 00:25:10,320 Speaker 1: to base an investment decision. Neither Bloomberg Finance LP nor 469 00:25:10,400 --> 00:25:13,560 Speaker 1: any of its affiliates makes any representation or warranty as 470 00:25:13,560 --> 00:25:16,399 Speaker 1: to the accuracy or completeness of the information contained in 471 00:25:16,400 --> 00:25:18,840 Speaker 1: this recording, and any liability as a result of this 472 00:25:18,880 --> 00:25:20,400 Speaker 1: recording is expressly disclaimed