WEBVTT - Salesforce and C3.ai Earnings 0:00:00.160 --> 0:00:03.320 And joins us shortly, this is Bloomberg Technology coming up. 0:00:03.640 --> 0:00:07.200 We'll break down earnings from sales voice that disappoints and 0:00:07.240 --> 0:00:10.879 C three AI, the artificial intelligence high pits reality with 0:00:10.920 --> 0:00:14.240 disappointing earnings from that company too. But let's stick on 0:00:14.360 --> 0:00:17.160 AI in the here and then now with Palenteer, we 0:00:17.320 --> 0:00:19.639 go live to Palo Alto, California, where our own Ed 0:00:19.680 --> 0:00:22.200 Ludlow is sitting down for an exclusive conversation with the 0:00:22.239 --> 0:00:23.560 CEO but us. 0:00:23.640 --> 0:00:24.800 We'll have more on. 0:00:24.840 --> 0:00:28.080 Guess what artificial intelligence, how Wall Street is using it, 0:00:28.160 --> 0:00:30.760 how the technology is replacing our jobs, and even how 0:00:30.800 --> 0:00:32.520 AI is replacing ourselves. 0:00:32.920 --> 0:00:34.480 We'll have more throughout the hour. 0:00:34.720 --> 0:00:37.199 First, set's check in to an audience where we're going 0:00:37.240 --> 0:00:39.720 to be discussing so much more the future of AI, 0:00:39.960 --> 0:00:42.519 where the likes of one key executive who wants to 0:00:42.520 --> 0:00:44.600 take the whole market on that. I want to welcome 0:00:44.640 --> 0:00:47.640 our Bloomberg TV and our radio audiences. We want to 0:00:47.640 --> 0:00:49.800 send it over now to our one Ed Ludlow, who's 0:00:49.800 --> 0:00:55.640 sitting down with an exclusive interview the CEO of Palenteer, Ed. Yeah. 0:00:55.640 --> 0:00:58.000 We're joined by Alex Karp, the CEO of Paneteer at 0:00:58.040 --> 0:01:01.760 aip CON Artificial Intelligence Platform CON a chance for you 0:01:02.240 --> 0:01:05.000 to talk with customers about some of what you told 0:01:05.040 --> 0:01:07.640 us three weeks ago. And on that note, three weeks ago, 0:01:07.959 --> 0:01:09.560 you said that Palente's plan. 0:01:09.520 --> 0:01:14.280 For AI was quote, just take the whole market. How's 0:01:14.319 --> 0:01:14.720 that going? 0:01:15.560 --> 0:01:15.840 Well? 0:01:16.000 --> 0:01:18.800 You know, unlike most people, we've been involved in what 0:01:18.840 --> 0:01:21.280 people call AI for the last five six seven years 0:01:21.319 --> 0:01:24.480 in the classified environment, building systems that will allow you 0:01:24.520 --> 0:01:27.080 to identify adversarial positions. 0:01:28.040 --> 0:01:28.479 And in that. 0:01:28.480 --> 0:01:31.920 Context, we've built proprietary technology that will allow you to 0:01:31.959 --> 0:01:36.120 work with large language models, securely, enhance them, roll them 0:01:36.160 --> 0:01:38.440 across your whole enterprise. You know, I've been at this 0:01:38.480 --> 0:01:40.520 for about twenty years, and I know it will take 0:01:40.560 --> 0:01:42.160 everyone else four or five years to build this. 0:01:42.600 --> 0:01:44.560 We're rolling it out. Our customer base. 0:01:44.480 --> 0:01:48.120 Is large, and we have you know, usually we wait 0:01:48.520 --> 0:01:50.320 for we have to go out and find people. Now 0:01:50.360 --> 0:01:52.440 we have customers, especially in the US, just calling us 0:01:52.440 --> 0:01:52.840 every day. 0:01:53.120 --> 0:01:55.600 You said, the demand is huge, can you quantify it? 0:01:55.640 --> 0:01:59.200 And so you know usually again we've had a number 0:01:59.240 --> 0:02:01.880 of inbound call a year that we usually have in 0:02:01.880 --> 0:02:04.680 a year, in like a month, and then if. 0:02:04.640 --> 0:02:06.520 We're at a conference, if you go next door. 0:02:06.760 --> 0:02:12.200 There are customers showing potential customers how to use our product. 0:02:12.760 --> 0:02:16.799 Its sense well, it's on real data, it's it's it's 0:02:16.919 --> 0:02:20.240 things that they've done so right now, the whole world 0:02:20.280 --> 0:02:22.880 is hungry for something that it understands as AI, which 0:02:22.960 --> 0:02:26.519 is really AI or large language models. We are actually 0:02:26.600 --> 0:02:31.400 have customers using our products showing other customers how to 0:02:31.400 --> 0:02:31.640 do it. 0:02:31.680 --> 0:02:33.880 I mean this is like you release a song and 0:02:33.960 --> 0:02:37.239 everyone else playing it. So okay, great, We're very happy. 0:02:37.680 --> 0:02:42.360 And you know, the thing is, the US market is 0:02:42.400 --> 0:02:46.000 just hungry for innovation. It's hungry for things. It's now beginning. 0:02:46.000 --> 0:02:48.920 It needs to needs, you know, beginning to understand. It 0:02:48.960 --> 0:02:51.280 needs like an ability to map a l M on 0:02:51.360 --> 0:02:54.679 your enterprise securely, ability to enhance the output of a 0:02:54.760 --> 0:02:57.840 large language model, and ability and and what's the output, 0:02:58.080 --> 0:02:59.720 better margins, better safety. 0:03:00.320 --> 0:03:02.160 You can change your enterprise in weeks. 0:03:02.800 --> 0:03:04.120 I just want to jump in and ask a very 0:03:04.120 --> 0:03:09.640 basic question, AIP is it built on GPT four? 0:03:10.360 --> 0:03:13.359 We different foundation. We as the underlying. 0:03:12.960 --> 0:03:16.280 Tech, the underlying we are completely agnostic to whatever large 0:03:16.360 --> 0:03:19.000 language model you want to use. Large language models have 0:03:19.040 --> 0:03:22.040 certain attributes, like they can give you reasoning, but you 0:03:22.080 --> 0:03:25.239 can't import that reasoning into your enterprise. What AIP does 0:03:25.280 --> 0:03:26.880 is allow you to take the benefits of the large 0:03:26.919 --> 0:03:29.760 language model, enhance them with ILL algorithms that we help 0:03:29.800 --> 0:03:32.440 you build and roll it securely across your whole enterprise. 0:03:32.480 --> 0:03:34.280 And what does that mean. It means you get all 0:03:34.320 --> 0:03:37.280 the benefits of a large language model in your enterprise today, 0:03:37.480 --> 0:03:40.800 not in five years. Not something that writes poetry. We're 0:03:40.800 --> 0:03:44.440 not offering people poetry writing in their enterprise. We're offering 0:03:44.480 --> 0:03:47.560 things that are so powerful that really, in reality, I'm 0:03:47.600 --> 0:03:49.200 not sure we should even sell this to some of 0:03:49.240 --> 0:03:51.360 our clients like national security. 0:03:51.440 --> 0:03:54.760 Who are those clients? Well, who are those clients proportionately? 0:03:54.800 --> 0:03:57.640 When you think about demand, how much is coming from 0:03:57.680 --> 0:04:00.480 the defense use case? Since you kind of gave more 0:04:00.520 --> 0:04:03.760 flesh to the AI bones at that during that earning. 0:04:03.680 --> 0:04:07.680 Look, what's driving the demand for our product and defense 0:04:07.760 --> 0:04:10.640 is simply what is what people have seen on the battlefield, 0:04:10.800 --> 0:04:13.640 and that's very sensitive and very classified. But the demand 0:04:13.680 --> 0:04:15.560 for that is very large, it's going to get larger. 0:04:15.800 --> 0:04:17.560 Why is it going to get larger? Because America is 0:04:17.560 --> 0:04:20.320 the best at software. Software that's built in a product 0:04:20.360 --> 0:04:22.800 is in high demand and defense? Why is it also 0:04:22.839 --> 0:04:25.320 in demand because until two years ago everyone thought this 0:04:25.440 --> 0:04:27.200 was a joke. We are building systems over the last 0:04:27.240 --> 0:04:29.760 five years that are deadly that those deadly systems have 0:04:29.920 --> 0:04:31.080 changed the course of history. 0:04:31.240 --> 0:04:32.960 It's no longer mad man saying this. 0:04:33.080 --> 0:04:37.000 You see it on the battlefield in US commercial US 0:04:37.120 --> 0:04:41.040 commercial industry is the most adaptive in the world, and 0:04:41.080 --> 0:04:43.560 they are hungry. Our clients are hungry for things that 0:04:43.560 --> 0:04:46.359 will give them a disapportionate advantage on margins, on safety, 0:04:46.680 --> 0:04:49.440 on secure use of LMS, on making sure this is 0:04:49.480 --> 0:04:53.440 not just some poetry recreating what somebody said, but actually 0:04:53.560 --> 0:04:55.440 can create actual tangible difference. 0:04:55.720 --> 0:04:57.760 And we are rolling it out and we're very happy. 0:04:57.760 --> 0:05:01.040 For our global Bloomberg television and radio audiences. We are 0:05:01.160 --> 0:05:04.120 at aip COM. We're joined by the CEO of Palenteer, 0:05:04.680 --> 0:05:08.640 Alex carp. During that earning school you said we have 0:05:08.760 --> 0:05:12.560 no pricing strategy. We're going to create a lot of value. 0:05:12.800 --> 0:05:15.440 We're going to get hundreds of customers, and we will 0:05:15.480 --> 0:05:18.240 price it as we go. Have you made any progress 0:05:18.240 --> 0:05:19.760 on pricing strategy since that No. 0:05:21.160 --> 0:05:22.560 I'm so relaxed about it. 0:05:22.480 --> 0:05:25.880 Because if you it's like one of these things like 0:05:25.920 --> 0:05:26.760 when you go to a bar. 0:05:26.960 --> 0:05:28.960 You know everyone wants to meet you. Do you have 0:05:29.000 --> 0:05:30.440 a pricing strategy when you go to the bar? 0:05:30.600 --> 0:05:32.520 No, you're like, Oh, I'm cool. I know we have 0:05:32.560 --> 0:05:33.720 the best product on the market. 0:05:33.760 --> 0:05:35.400 I know customers will pay us fairly. 0:05:35.640 --> 0:05:37.560 I know that it's much more valuable than anyone will 0:05:37.600 --> 0:05:40.360 understand till they install it, and we will sort out 0:05:40.480 --> 0:05:43.599 there's to make it like slightly academic. I believe in 0:05:43.640 --> 0:05:46.400 prey too optimization. We are going to create a lot 0:05:46.440 --> 0:05:48.359 of value, and we're going to get some portion of 0:05:48.400 --> 0:05:51.080 that value. And customers are smart, they'll pay you some 0:05:51.120 --> 0:05:53.720 portion of the value. Why should I just as an 0:05:53.680 --> 0:05:55.720 actually metic thing. If you have a software product, you 0:05:55.720 --> 0:05:57.919 always want to get paid after you deliver value. 0:05:58.040 --> 0:05:58.599 If you've got a. 0:05:58.640 --> 0:06:01.760 PowerPoint, something that doesn't work, something that's not valuable, you 0:06:01.800 --> 0:06:02.280 want to get. 0:06:02.160 --> 0:06:03.600 Paid before you create value. 0:06:03.800 --> 0:06:06.440 We know it's valuable, we know it's much more valuable 0:06:06.440 --> 0:06:09.160 than people understand. We know we're going to continue to 0:06:09.200 --> 0:06:11.400 augment that value, and we're going to get paid along 0:06:11.440 --> 0:06:11.719 the way. 0:06:11.800 --> 0:06:13.919 Well, the counter consideration is how much you invest in 0:06:13.960 --> 0:06:14.480 the product. 0:06:14.640 --> 0:06:17.160 But we've already invested billions of building these things in 0:06:17.240 --> 0:06:19.640 various components over the last twenty years, and we have 0:06:19.760 --> 0:06:22.080 the we have the IP and we're basically sewing it 0:06:22.120 --> 0:06:24.120 together and adding things on top of it. And so 0:06:24.240 --> 0:06:27.080 we know we have the IP, we're certain of the value. 0:06:27.279 --> 0:06:29.360 Why would we So again I come to you, I'm like, hey, 0:06:29.400 --> 0:06:30.640 I'm certain this is very valuable. 0:06:30.760 --> 0:06:32.359 Pay me ten million dollars. What are you going to. 0:06:32.360 --> 0:06:33.960 Say, Well, I don't have ten many. 0:06:33.880 --> 0:06:37.000 Until well, okay, give me your British charm. 0:06:37.040 --> 0:06:39.320 Well and they say, well for your British charm, my 0:06:40.080 --> 0:06:42.560 British charm. If I were a customer, would say, this 0:06:42.680 --> 0:06:46.039 is a really hard environment. If I think about cloud exactly, 0:06:46.120 --> 0:06:48.600 customers are looking for value at the lowest price. 0:06:48.720 --> 0:06:50.920 Now. I but if you believe you have the best 0:06:50.920 --> 0:06:53.000 product in the world, where are you going to say? Okay, great, 0:06:53.160 --> 0:06:54.360 let's not even have that discussion. 0:06:54.400 --> 0:06:56.760 I'll create the value. You tell me how much value created? 0:06:56.800 --> 0:06:58.240 By the way, if you don't want to pay me, 0:06:58.440 --> 0:07:00.240 then I'll go to someone else who will. You can 0:07:00.320 --> 0:07:03.040 just you can have different margins and the personal payment, 0:07:03.120 --> 0:07:04.159 you can have a different. 0:07:03.839 --> 0:07:06.240 Safety profile and the paper. You can have a different. 0:07:05.920 --> 0:07:08.800 Ability to control your whole business from your laptop than 0:07:08.800 --> 0:07:10.880 someone else because the person who valued it paid me. 0:07:11.000 --> 0:07:11.680 We don't want to pay me. 0:07:11.720 --> 0:07:16.280 Great Alex Carpcio Palenteer Technologies. This morning, the Bear Cave, 0:07:16.840 --> 0:07:20.760 a subset based newsletter, put out a negative report into it. 0:07:22.120 --> 0:07:23.560 Let me just read one of the claims. 0:07:23.600 --> 0:07:27.600 The Bear Cave believes Palenteer is an ai imposta engaging 0:07:27.600 --> 0:07:31.760 in spurious games to inflate its books and obfuscate its 0:07:31.840 --> 0:07:34.880 less sexy role as an over height data consultant. 0:07:34.880 --> 0:07:36.000 What is your response to that. 0:07:36.360 --> 0:07:38.480 The bear Cave is a bear cave. They can stay 0:07:38.480 --> 0:07:40.760 in the bear cave. We're a profitable software company. 0:07:40.880 --> 0:07:43.160 Those are interesting critiques of us, and you know we 0:07:43.200 --> 0:07:44.960 have the best products in the market and that's why 0:07:44.960 --> 0:07:46.320 they're profitable and we will win. 0:07:47.520 --> 0:07:48.880 Wanted to give you the right response. 0:07:49.120 --> 0:07:51.480 That was all the core of Palente's pitch, right, is 0:07:51.520 --> 0:07:57.280 that you have this experience in managing sensitive classified often 0:07:57.760 --> 0:08:02.040 data networks or closed network How does that work in 0:08:02.120 --> 0:08:03.440 the training of. 0:08:03.640 --> 0:08:05.440 The l lms that are going into a I P. 0:08:06.120 --> 0:08:08.960 Is it difficult when they have that kind of restriction 0:08:09.080 --> 0:08:09.920 on the data source. 0:08:09.960 --> 0:08:14.640 It's a very very very important technical question to work 0:08:15.120 --> 0:08:17.640 to use l l ms at scale in a classified 0:08:17.680 --> 0:08:20.520 in sensitive environment. You have to have something like a 0:08:20.600 --> 0:08:23.280 data model that trains the data model, and something like 0:08:23.360 --> 0:08:27.600 branching and and and and and access control. Those products 0:08:27.680 --> 0:08:28.640 take decades to build. 0:08:28.720 --> 0:08:29.280 We have them. 0:08:29.560 --> 0:08:32.800 But if you have those products, you can segment in 0:08:32.880 --> 0:08:34.000 real time what what. 0:08:34.000 --> 0:08:35.000 The already built. 0:08:35.040 --> 0:08:35.800 They're already built. 0:08:36.000 --> 0:08:37.840 We're already they're already part of all of our core 0:08:37.920 --> 0:08:39.880 fied they're part of PG, they're part of foundry. 0:08:40.160 --> 0:08:41.280 This is they're. 0:08:41.080 --> 0:08:43.719 About we roll them out to our current customers. Many 0:08:43.720 --> 0:08:46.120 of our customers have not needed to use these, They 0:08:46.120 --> 0:08:46.800 now need to use them. 0:08:46.840 --> 0:08:47.959 Why do they need to use them? 0:08:48.040 --> 0:08:51.120 Because if you in any environment, you're gonna have records 0:08:51.120 --> 0:08:53.000 that you're gonna have, you're gonna have data and insights 0:08:53.040 --> 0:08:54.800 you're not going to share. With the large language model, 0:08:54.840 --> 0:08:56.560 you're gonna have data insights you do want to share, 0:08:56.679 --> 0:08:59.360 and you're gonna have a hybrid and that requires a segmenting, 0:08:59.400 --> 0:09:02.120 branching architecture. And one of the things we built over 0:09:02.120 --> 0:09:04.800 the last ten years, randomly because we thought it would 0:09:04.800 --> 0:09:05.800 be valuable someday. 0:09:05.640 --> 0:09:09.959 Was that for our Bloomberg radio and television audiences worldwide. 0:09:10.000 --> 0:09:12.560 We are with doctor Alex Karp, the CEO of Palenter. 0:09:12.600 --> 0:09:16.439 An interesting case study is Ukraine. You've deepened your relationship 0:09:16.480 --> 0:09:19.960 and activity in Ukraine using AI in one case to 0:09:20.000 --> 0:09:21.040 help with reconstruction. 0:09:21.920 --> 0:09:23.400 How else given just. 0:09:23.360 --> 0:09:28.040 Well, by the way, my real answer to the short 0:09:28.080 --> 0:09:31.400 people is ask the Russians what do you mean by this? 0:09:31.640 --> 0:09:34.640 Like we can't say, ask the Ukrainians, Ask people who 0:09:34.679 --> 0:09:37.080 are in the battlefield, ask people who have been subject. 0:09:37.160 --> 0:09:40.439 You're talking about the effective effectiveness of our product. Okay, 0:09:40.520 --> 0:09:42.440 So it's like there's very little we can say. You 0:09:42.480 --> 0:09:45.360 can read what the Ukrainians are saying. They use targeting, 0:09:45.400 --> 0:09:48.400 according to reports, has gone up given the use of 0:09:48.440 --> 0:09:53.240 AI by products potentially ours from like by twenty to 0:09:53.280 --> 0:09:57.120 fifty x. These products have changed the course of history 0:09:57.640 --> 0:09:58.640 and they will continue to. 0:09:58.640 --> 0:10:00.800 Can't change the course of history, and super proud of that. 0:10:01.320 --> 0:10:04.480 Do we already have in the military use case, an 0:10:04.559 --> 0:10:08.760 arms race between powers like the US, Russia, China specifically 0:10:08.840 --> 0:10:10.760 in the field of artificial intelligence. 0:10:10.360 --> 0:10:11.880 Yes, and we have an advantage and if we don't 0:10:11.920 --> 0:10:14.200 get get out of our own way, we might actually 0:10:14.200 --> 0:10:14.679 continue to. 0:10:14.679 --> 0:10:16.160 When you say we gets out of our own way, 0:10:16.160 --> 0:10:16.880 what do you mean by that? 0:10:16.960 --> 0:10:19.480 Well, you know in America has the best best software 0:10:19.480 --> 0:10:22.160 companies in the world. The software companies largely come from 0:10:22.160 --> 0:10:25.120 a sliver of America. They produce products. We need to 0:10:25.120 --> 0:10:27.760 get to a point where one percent of our spend 0:10:27.800 --> 0:10:30.200 on defense goes to products that have been proven on 0:10:30.280 --> 0:10:33.800 the battlefield, not power points. And so like in the 0:10:33.840 --> 0:10:37.360 large language model and the generalizable AI. We are far ahead, 0:10:38.320 --> 0:10:41.240 call it a year or two, but we must actually implant. 0:10:41.280 --> 0:10:43.320 And there's a huge debate. Part of the debate, of course, 0:10:43.400 --> 0:10:45.120 is these things are very dangerous. If we didn't have 0:10:45.920 --> 0:10:48.720 vicious adversaries, we should we should slow it down, but 0:10:48.760 --> 0:10:50.640 we do. But we also have lots of people who 0:10:50.679 --> 0:10:52.440 don't want to roll this out because they have nothing 0:10:52.480 --> 0:10:55.400 to roll out, and so there's like the debate machine 0:10:55.400 --> 0:10:58.160 about rolling this out. Is partly for legitimate reasons because 0:10:58.559 --> 0:11:01.240 this could be dangerous, partly for security reasons you brought up. 0:11:01.280 --> 0:11:03.120 But there are architectures that will allow you to deal 0:11:03.120 --> 0:11:06.520 with this as a product like Pounder and hopefully someday others. 0:11:06.920 --> 0:11:09.600 But there's also the debate machine because there are only 0:11:09.600 --> 0:11:11.680 three or four companies in the world with anything to sell, 0:11:11.760 --> 0:11:14.319 and everyone else wants to debate why should we do this, 0:11:14.320 --> 0:11:15.160 how should we do this. 0:11:15.280 --> 0:11:17.040 Can we play catch up? Can we talk about this 0:11:17.080 --> 0:11:17.800 in five years? 0:11:18.040 --> 0:11:20.800 That really plays into our adversary's hands, and we really 0:11:20.880 --> 0:11:21.520 have to avoid that. 0:11:21.720 --> 0:11:24.800 The long term concern that came up twenty four hours 0:11:24.800 --> 0:11:27.400 ago or forty hours ago is an existential threat from 0:11:27.400 --> 0:11:30.720 a you talk at panting about bending AI to a 0:11:30.720 --> 0:11:34.199 collective will, Well, do you share the concern though about 0:11:34.200 --> 0:11:35.280 an extinction level? 0:11:35.520 --> 0:11:39.640 Well, there's a lot going on. There are these things dangerous. 0:11:39.640 --> 0:11:43.360 Could they become potentially dangerous? Could they become Yes? But 0:11:43.880 --> 0:11:47.320 what these debates ignore is either we will wield them 0:11:47.480 --> 0:11:50.280 or our adversaries will will them. It is much better 0:11:50.320 --> 0:11:52.920 if we wield the technology than our adversaries who do 0:11:53.000 --> 0:11:55.400 not respect our norms, do not respect the rule of law, 0:11:55.440 --> 0:11:57.360 and do not respect the way we want to live 0:11:57.360 --> 0:11:58.080 in freedom. 0:11:58.520 --> 0:12:00.520 So that's point one. Point two. 0:12:00.920 --> 0:12:03.400 In the near term, what penalteer will allow you to 0:12:03.400 --> 0:12:06.400 do is make these things really, really valuable commercially and 0:12:06.440 --> 0:12:09.720 in the military context. And we in commercial context, you 0:12:09.760 --> 0:12:11.560 have to do it because if you don't buy our product, 0:12:11.559 --> 0:12:14.800 your competition will. In the military context, we have to 0:12:14.800 --> 0:12:17.040 do it because our adversaries will build those products. 0:12:17.280 --> 0:12:19.640 You toys about the competitive landscape. I actually wanted to 0:12:19.679 --> 0:12:22.760 ask you about C three AI as an example, because 0:12:22.760 --> 0:12:25.280 you come up in bidding processes with them. 0:12:25.600 --> 0:12:28.720 Actually we look, this is a massive market. We actually 0:12:28.720 --> 0:12:30.920 don't come up with bidding processes anyway. And I'll tell 0:12:30.920 --> 0:12:32.000 you what I think about everyone. 0:12:32.040 --> 0:12:33.480 See, you don't have any competition. 0:12:33.559 --> 0:12:35.080 Let me just let me just tell you about this 0:12:35.200 --> 0:12:39.080 competition thing that while street analysts love, it's complete ps you. 0:12:39.320 --> 0:12:43.079 This is an infinite market. Basically, try what we're doing, 0:12:43.160 --> 0:12:45.320 and try what everyone else is doing, and buy the 0:12:45.360 --> 0:12:46.480 thing that creates the most. 0:12:46.320 --> 0:12:49.120 Value on an infinite market. Blom Bag Intelligence put out 0:12:49.120 --> 0:12:52.240 this research report this morning that says generative AI as 0:12:52.280 --> 0:12:54.720 a market will be one point three trillion in twenty 0:12:54.760 --> 0:12:58.280 to thirty two. That requires compound annual growth of about 0:12:58.280 --> 0:13:00.960 forty percent a year from this point over a decade. 0:13:01.440 --> 0:13:03.200 Do you see that as really well, what I see, 0:13:03.400 --> 0:13:03.920 I don't know. 0:13:03.880 --> 0:13:05.320 This based on the markets you operate. 0:13:05.520 --> 0:13:07.439 Look, these experts just make stuff up. 0:13:07.480 --> 0:13:09.840 But you know, what we know is this is a large, 0:13:10.360 --> 0:13:12.400 basically impossible to measure market. 0:13:13.440 --> 0:13:14.719 And what we also know. 0:13:14.800 --> 0:13:17.440 Is everybody in the in the US is going to 0:13:17.480 --> 0:13:20.280 find ways to become more efficient and better using software, 0:13:20.360 --> 0:13:21.720 and a lot of that software is going to be 0:13:21.720 --> 0:13:22.400 AI driven. 0:13:22.640 --> 0:13:23.679 We also know they're. 0:13:23.480 --> 0:13:26.120 Going to the market over time, not in a quarter, 0:13:26.480 --> 0:13:28.600 will end up picking the best products. 0:13:28.760 --> 0:13:29.319 That's all we know. 0:13:30.440 --> 0:13:33.560 In the United Kingdom, my home country, the ft is 0:13:33.600 --> 0:13:36.719 reporting that within the NHS as a case study, there 0:13:36.760 --> 0:13:40.040 is some concern about deepening the data relationship with palenteer. 0:13:41.000 --> 0:13:44.400 What would be your answer to those concerns? 0:13:45.040 --> 0:13:47.800 Look outside of America and in the UK, there are 0:13:48.160 --> 0:13:50.720 legitimate questions that get asked, where's the data going to go? 0:13:51.000 --> 0:13:52.959 How is it moved too touches it? Does it get 0:13:52.960 --> 0:13:56.440 exported to the US? Can we verify how is used, 0:13:56.720 --> 0:13:59.839 what context? And can we make sure that the underprivileged 0:13:59.880 --> 0:14:03.160 p people of the UK actually get the same treatment 0:14:03.200 --> 0:14:06.200 as the privileged people, including not just in treatment but 0:14:06.280 --> 0:14:08.400 future treatment which is a huge issue in the UK 0:14:08.720 --> 0:14:10.360 because there's a backlog, So how do you deal with 0:14:10.360 --> 0:14:16.360 the backlog equitably? Talentaer provides the most robust transparent software 0:14:16.360 --> 0:14:18.280 in the world, which is part of the reason we're 0:14:18.320 --> 0:14:22.120 having an AI bonanza because to make AI work you 0:14:22.240 --> 0:14:24.480 have to show how it works. How did the transform work, 0:14:24.520 --> 0:14:26.920 how does the branching work, how does the ontology work. 0:14:26.960 --> 0:14:28.400 How does it map to on This. 0:14:28.440 --> 0:14:31.160 Is exactly what you have to show in a hospital context. 0:14:31.320 --> 0:14:34.800 Who worked with the patient, under what condition, what doctor 0:14:35.160 --> 0:14:37.280 was it was the person equitably and fairly treated. 0:14:37.480 --> 0:14:40.360 What happens to backlog by the way, we've proven we 0:14:40.400 --> 0:14:41.200 can do this as a. 0:14:41.160 --> 0:14:45.160 Product safely, efficiently and under the hardest conditions in the UK, 0:14:45.560 --> 0:14:47.640 and I really hope we win that for this for 0:14:47.720 --> 0:14:50.480 our sake, but also for the sake of our UK 0:14:50.560 --> 0:14:53.600 employees and others that we greatly respect, and because it'll 0:14:53.680 --> 0:14:57.560 lead transparency leads to the fairest, most ethical and justified 0:14:58.560 --> 0:14:59.560 outcomes you can get. 0:15:00.120 --> 0:15:02.440 Is Alix carp CEO of Palented, thank you for having 0:15:02.520 --> 0:15:04.320 us at AIP can't hear in palawawle. 0:15:04.400 --> 0:15:07.280 Thank you back to you, Take care. 0:15:07.600 --> 0:15:13.080 Ed, absolutely fascinating conversation and AI bonanza. We're going to 0:15:13.160 --> 0:15:16.520 deep dive into all things artificial intelligence throughout the show. 0:15:16.520 --> 0:15:19.040 Coming up, we break down the earnings of C three AI. 0:15:19.160 --> 0:15:22.880 Apparently the market is infinite. Well, why is Dan i'ves 0:15:22.920 --> 0:15:24.320 gone outperformed this stock? 0:15:24.440 --> 0:15:26.160 Is that why he's from Webush of course. 0:15:26.120 --> 0:15:27.920 Get his thoughts as well as what's happening in the 0:15:27.920 --> 0:15:30.760 future for Apple, and it's a our path, it's a Bloomberg. 0:15:42.400 --> 0:15:44.120 Let's get back to some of these earnings, the earnings 0:15:44.160 --> 0:15:47.560 reactions because Salesforce tumbling after the software company signaled it 0:15:47.600 --> 0:15:50.080 isn't growing as fast as well it used to, while 0:15:50.120 --> 0:15:53.720 of course shifting its focus to generating higher profits. Let's 0:15:53.760 --> 0:15:56.200 get into the risk reward here with Bloomberg's Brodie Ford, 0:15:56.240 --> 0:15:58.480 and it was a notable drop. We'm now studying a 0:15:58.520 --> 0:16:01.120 little bit, but ultimately this is a company that's having 0:16:01.120 --> 0:16:05.520 to do layoffs, having to tighten its overall expenses. Why 0:16:05.600 --> 0:16:06.720 the sales slow down there? 0:16:07.280 --> 0:16:10.200 Yeah, so last quarter Salesforce said we're going to focus 0:16:10.200 --> 0:16:13.040 on profit now, and the market said, yeah, finally, like 0:16:13.080 --> 0:16:15.680 we know, we couldn't be more excited, and this quarner 0:16:15.680 --> 0:16:17.640 that gave us more of that. But then the market 0:16:17.720 --> 0:16:20.680 started saying, oh, wait a second, but we you guys 0:16:20.680 --> 0:16:22.120 are a growth company and we want to make sure 0:16:22.120 --> 0:16:24.600 we keep seeing further revenue growth. And so it's one 0:16:24.600 --> 0:16:27.920 of those funny situations where really almost all the metrics 0:16:27.920 --> 0:16:30.720 who are beat or at least a meat, but just 0:16:30.760 --> 0:16:34.120 a slight deceleration and sales has people saying, oh, man, 0:16:34.160 --> 0:16:36.320 are these cost cuts going to weigh on their ability 0:16:36.360 --> 0:16:38.200 to really keep growing in the way they have been 0:16:38.240 --> 0:16:39.440 over the last decade. 0:16:39.600 --> 0:16:42.320 And it's a similar theme that perhaps we saw with 0:16:42.400 --> 0:16:44.760 C three AI as well, is that a company that 0:16:44.960 --> 0:16:48.400 has significant growth well Salesforce at the best performing stock 0:16:48.400 --> 0:16:49.760 in the s and P five hundred this year, C 0:16:49.880 --> 0:16:53.560 three AI is tripled in its market valuation, and yet 0:16:53.640 --> 0:16:55.359 the growth that they're guiding. 0:16:54.960 --> 0:16:56.560 To just do isn't living up to expectation. 0:16:56.960 --> 0:16:57.560 Yeah, when it. 0:16:57.480 --> 0:16:59.840 Comes to C three, So if salesforce is one of 0:16:59.880 --> 0:17:02.960 the best in the SMP, C three is the best 0:17:03.000 --> 0:17:05.880 tech stock performance. I mean, it's up three hundred percent, right. 0:17:05.880 --> 0:17:09.240 There's been so much hype, and the big question is 0:17:09.240 --> 0:17:09.920 is it just hype? 0:17:10.080 --> 0:17:10.280 Right? 0:17:10.560 --> 0:17:14.600 Is it have a real robust AI ability to grow 0:17:15.080 --> 0:17:17.399 or are people just buying the ticker because it says AI, 0:17:17.680 --> 0:17:20.119 you know. And so when it rallied three hundred percent 0:17:20.160 --> 0:17:23.840 this year, a lot of people say this looks about like, 0:17:23.920 --> 0:17:26.760 you know, Game Stop in twenty twenty one or something. Yeah, 0:17:26.800 --> 0:17:29.359 So I think when the figures last night came in 0:17:29.400 --> 0:17:32.880 even a little bit light, people kind of panicked and said, oh, man, 0:17:33.160 --> 0:17:35.880