WEBVTT - OpenAI's Enterprise Adoption and Apple's Robot Ambitions 0:00:02.560 --> 0:00:10.119 Bloomberg Audio Studios, podcasts, radio news. 0:00:08.800 --> 0:00:12.480 From the heart where innovation, money and power. Collie in 0:00:12.600 --> 0:00:17.520 Silicon Valley Nbon This is Bloomberg Technology with Caroline Hyde 0:00:17.560 --> 0:00:42.000 and Ed Ludlow. 0:00:32.440 --> 0:00:34.320 And Caroline head of Blueberg's World take laughters into you 0:00:34.600 --> 0:00:35.879 right next to our Ed Ludlow. 0:00:36.120 --> 0:00:38.159 This isbg Technology. 0:00:37.680 --> 0:00:40.840 Coming up full coverage ahead of the stage of artificial intelligence. 0:00:40.880 --> 0:00:44.360 As we sit down with Open AI COO Brad Lightcap. 0:00:44.440 --> 0:00:45.519 You do not want to miss it. 0:00:45.760 --> 0:00:49.160 Pass will take a deep dive into Apple's robot ambitions 0:00:49.159 --> 0:00:52.680 as the company eyes the next big thing after scrapping 0:00:52.920 --> 0:00:56.880 its car ambitions detailed to come and paramounted inches closer 0:00:56.880 --> 0:00:59.640 to a deal to merge with David Ellison's Skydance Media. 0:01:00.000 --> 0:01:01.880 We'll bring you the latest and so much more throughout 0:01:01.880 --> 0:01:02.160 this app. 0:01:02.160 --> 0:01:03.880 We're also going to be more going more broadly as 0:01:03.880 --> 0:01:05.800 to what the space is like in the chip sector 0:01:05.840 --> 0:01:08.560 and ultimately where we are in this AI hype or 0:01:08.560 --> 0:01:11.600 reality cycle, how you can still be committing money towards it. 0:01:11.800 --> 0:01:14.040 So please to welcome into the show. Miniso Otto, head 0:01:14.040 --> 0:01:16.959 of TMT Research a Visible Alpha and we'll give us 0:01:17.000 --> 0:01:20.200 your research deep dive at the moment Menissa, because are 0:01:20.240 --> 0:01:23.199 you feeling in this environment with benchmarks near record highs, 0:01:23.240 --> 0:01:25.360 with another seventy percent added to and video over the 0:01:25.400 --> 0:01:27.800 course of this year alone, that this is still a bye, 0:01:27.800 --> 0:01:29.720 that the earnings still show growth potential. 0:01:30.240 --> 0:01:32.280 First of all, thank you so much for having me on. 0:01:32.520 --> 0:01:34.880 It's so great to be here and talk about technology 0:01:34.880 --> 0:01:37.479 with the two of you. To real privilege. I mean, 0:01:37.640 --> 0:01:40.320 Nvidio the story of the past twelve months, no doubt. 0:01:40.319 --> 0:01:42.520 I mean, based on visible Alpha consensus, we've seen our 0:01:42.600 --> 0:01:46.360 upward revisions from last January come up over two hundred 0:01:46.640 --> 0:01:51.480 billion dollars. So we're in an interesting inflection point. Are 0:01:51.520 --> 0:01:55.000 we going to see Earning's estimates be revised up yet 0:01:55.040 --> 0:01:58.200 another two hundred billion dollars? You know, when I look 0:01:58.240 --> 0:02:00.720 at previous cycles where we have new products like the 0:02:00.760 --> 0:02:04.720 iPhone or the Internet, you know, a totally new type 0:02:04.760 --> 0:02:08.960 of cycle coming into the mix, how big would it be? 0:02:09.240 --> 0:02:11.080 You know? I think in the beginning of those types 0:02:11.120 --> 0:02:15.160 of cycles, we can be cautious conservative. Then looking back 0:02:15.240 --> 0:02:17.959 five years looking back on those it's like, WHOA, I 0:02:18.040 --> 0:02:20.640 thought I thought my numbers were crazy, but actually they 0:02:20.639 --> 0:02:23.000 were pretty conservative. You know, I think these are the 0:02:23.040 --> 0:02:25.720 questions that investors are asking themselves right now, and that's 0:02:25.720 --> 0:02:26.880 what we're watching in our data. 0:02:27.000 --> 0:02:29.800 They get asked the questions on a more than daily basis. 0:02:29.800 --> 0:02:34.480 The newsflow around AI for every company, every layer of 0:02:34.480 --> 0:02:37.440 the AI stack is astonishing. Google is the example this morning, 0:02:37.520 --> 0:02:40.440 right and the reporting is that they're looking at search 0:02:40.520 --> 0:02:44.200 and thinking, do we charge a premium AI powered search 0:02:44.400 --> 0:02:46.880 on a subscription basis? How much of a domain do 0:02:46.960 --> 0:02:49.960 you find search to be? In this wild AI story? 0:02:51.560 --> 0:02:54.919 Google has owned the search space for as long as 0:02:54.919 --> 0:03:00.400 I can remember. They dominate, They generate incredible revenues from that. 0:03:00.480 --> 0:03:05.200 It's been probably the story of the past fifteen years 0:03:05.560 --> 0:03:08.080 in terms of what their growth has been. Like, what 0:03:08.200 --> 0:03:09.840 will be really compelling. 0:03:11.280 --> 0:03:11.720 Will be to. 0:03:11.720 --> 0:03:15.960 See what Microsoft does with their search. Are they going 0:03:16.000 --> 0:03:18.640 to start to nip at some of that market share? 0:03:19.040 --> 0:03:23.520 Are they going to start to integrate AI in a 0:03:23.560 --> 0:03:27.280 way that isn't charging a fee? I mean, what's the 0:03:27.280 --> 0:03:31.040 business model there? Why would users pay a fee for 0:03:31.080 --> 0:03:34.160 AI when there's other options out there? And I think, 0:03:34.280 --> 0:03:39.320 you know, there was an upgrade yesterday with Dolly, and 0:03:39.800 --> 0:03:44.920 you know, the market came out and showed the capabilities 0:03:44.920 --> 0:03:48.360 of open AI are just remarkable. I'm excited to stick 0:03:48.400 --> 0:03:50.800 around and listen to the open ai interview. I mean, 0:03:50.880 --> 0:03:53.240 this is it's incredible. 0:03:52.760 --> 0:03:53.640 What they're doing. 0:03:53.960 --> 0:03:55.760 What is it you'd want to learn about open ai 0:03:56.440 --> 0:03:57.680 when you're listening to the interview? 0:03:57.960 --> 0:04:00.160 Oh, I mean I would love to hear what they're doing, 0:04:00.200 --> 0:04:02.840 what their new upgrades are about, where they see it 0:04:02.920 --> 0:04:06.119 going next, what dynamics also consumer? 0:04:06.400 --> 0:04:07.680 Where are you more focused both? 0:04:07.800 --> 0:04:10.560 I mean, it's all about right now. I think the 0:04:10.600 --> 0:04:16.080 foundation of AI has been all about it's essentially been 0:04:16.120 --> 0:04:20.400 funded by cloud service providers, yes, and taking it from 0:04:20.400 --> 0:04:23.840 cloud service providers, getting it into enterprises and really not 0:04:23.880 --> 0:04:28.880 only generating productivity and efficiency gains, making organizations more intelligent, 0:04:29.360 --> 0:04:33.640 but also finding new business models, new ways of thinking 0:04:33.720 --> 0:04:35.640 about the world. I mean, this is what the iPhone 0:04:35.640 --> 0:04:38.800 did so remarkably well. Can AI do the same thing? 0:04:38.880 --> 0:04:41.320 This is what we're all waiting for. What new apps 0:04:41.360 --> 0:04:43.159 are going to come out, what's going to change our lives? 0:04:43.160 --> 0:04:43.800 And it feels as. 0:04:43.760 --> 0:04:45.840 Though it's a lot of organic growth that you're focusing on. 0:04:45.920 --> 0:04:47.479 And it's interesting that we come off this day of 0:04:47.520 --> 0:04:49.719 a report in Reuters that maybe a bit of inorganic 0:04:49.720 --> 0:04:52.880 growth could still be done in this irregulatory environment. If 0:04:53.040 --> 0:04:56.480 the reports are true that Alphabet is eyeing HubSpot for example, 0:04:57.000 --> 0:04:58.160 do you think that sort of a. 0:04:58.120 --> 0:04:59.120 Deal can get done. 0:04:59.160 --> 0:05:02.120 Are you expecting any more consolidation of such large players. 0:05:02.800 --> 0:05:03.599 It's a tough one. 0:05:03.680 --> 0:05:07.440 It's really difficult to answer and to address questions on deals. 0:05:07.600 --> 0:05:12.120 I mean, it's such a dynamic markets. It's a good 0:05:12.200 --> 0:05:14.479 market right now, probably for m and A. 0:05:14.920 --> 0:05:15.320 For Alcoa. 0:05:15.400 --> 0:05:17.240 Hias more likely that we seem to be happening with 0:05:17.279 --> 0:05:19.000 Microsoft rather than actually doing deals. 0:05:19.120 --> 0:05:22.280 It'll be interesting. Yeah, I think I would just pivot 0:05:22.320 --> 0:05:25.080 on that and say, you know, I think we we 0:05:25.120 --> 0:05:27.080 really need to look at the dynamics in the market, 0:05:27.240 --> 0:05:29.520 see where the trends are going to lead us and 0:05:29.839 --> 0:05:34.279 where users are actually gonna drive revenues. And if that's 0:05:34.320 --> 0:05:38.120 going to be the case, then you know, who knows 0:05:38.160 --> 0:05:39.320 what could be on the horizon. 0:05:39.720 --> 0:05:42.719 Later today, Caroline and I will be upstairs at Bloomberg 0:05:42.720 --> 0:05:45.960 Intelligences AI Summit, our research arm And when I think 0:05:45.960 --> 0:05:46.880 about Generator today, I. 0:05:46.880 --> 0:05:48.880 Always feel like we covered it in reverse. 0:05:49.160 --> 0:05:51.640 We went straight to the consumer facing chatbot and not 0:05:51.800 --> 0:05:54.039 really how we got there along the way until GtC 0:05:54.839 --> 0:05:56.920 when Jensen one walks into the middle of the show 0:05:56.960 --> 0:06:00.120 and floor and praises Michael Dell and says, if you need. 0:06:02.080 --> 0:06:03.040 What did you make of that? 0:06:05.000 --> 0:06:08.080 I mean, this was new, This was absolutely new. I 0:06:08.080 --> 0:06:10.839 mean he kind of called out. He's like, who else 0:06:10.920 --> 0:06:14.280 could make better end to end solutions for enterprises at 0:06:14.279 --> 0:06:16.760 a large scale than Mike Dell and the whole You 0:06:16.760 --> 0:06:20.599 could almost feel everybody go whoa, you know, And I 0:06:20.600 --> 0:06:23.919 thought that was really interesting because that's the next big 0:06:24.040 --> 0:06:27.360 leg that needs to come into AI is for there 0:06:27.400 --> 0:06:36.400 to be real strategic thought into how organizations enterprises are 0:06:36.440 --> 0:06:40.680 going to really embrace generative AI and what it's going 0:06:40.760 --> 0:06:43.760 to actually do for the This is very transformative. It's 0:06:43.760 --> 0:06:46.480 not like you just flick a light switch and there's 0:06:46.480 --> 0:06:48.159 an app and suddenly you have generative AI. 0:06:48.240 --> 0:06:49.000 I mean a lot. 0:06:48.880 --> 0:06:51.719 Needs to happen in an organization. They need to de 0:06:51.800 --> 0:06:54.320 silo their data, they need to train it, it needs 0:06:54.440 --> 0:06:58.240 to be in the cloud, there needs to be analytics 0:06:58.279 --> 0:07:01.160 around it. There's so much that actually needs to happen, 0:07:01.240 --> 0:07:05.560 and it'll be fascinating to see what role companies like 0:07:05.640 --> 0:07:07.839 Dell play in this arena. 0:07:08.000 --> 0:07:11.240 And now we're talking about infrastructure and supply Chain Malicerado, 0:07:11.480 --> 0:07:15.520 head of TMT Research at Visible Alpha, Thank you. Meanwhile, 0:07:15.560 --> 0:07:17.000 I want to bring an update to our audience on 0:07:17.040 --> 0:07:21.120 what's happening in Taiwan following the largest earthquake there in 0:07:21.200 --> 0:07:23.720 twenty five years. While the full extent of the damage 0:07:23.720 --> 0:07:27.240 from the latest quake isn't known, the latest figures our 0:07:27.400 --> 0:07:30.000 ten people have died and more than one thousand have 0:07:30.080 --> 0:07:34.040 been injured. Companies have also provided updates on employee safety 0:07:34.040 --> 0:07:38.480 in their operations. Taiwan Semiconductor resumed production less than twenty 0:07:38.520 --> 0:07:42.400 four hours after evacuating staff and halting operations. The company 0:07:42.440 --> 0:07:45.040 said there has been no damage to its most critical 0:07:45.120 --> 0:07:49.040 chipmaking equipment. It expects full operations at its main plant 0:07:49.320 --> 0:07:51.800 to be fully recovered by later today. Some of the 0:07:51.800 --> 0:07:55.120 island's tech firms are still assessing the damage from the earthquake, 0:07:55.120 --> 0:07:57.880 which leveled dozens of buildings on its eastern side. We 0:07:57.880 --> 0:08:00.640 will continue to monitor for the latest headline and bring 0:08:00.680 --> 0:08:02.720 them to you as they cross the Bloomberg Carrot. 0:08:03.400 --> 0:08:06.000 More coming up now we're returning our attention to Disney. 0:08:06.120 --> 0:08:10.160 It was an extensive proxy battle. Bobiga has defeated. From 0:08:10.160 --> 0:08:13.000 a board perspective, the billionaire activist investor Nelson Peltz. But 0:08:13.040 --> 0:08:15.840 actually who's one out here we discussed as the Bloomberg 0:08:15.840 --> 0:08:34.760 technology the votes. They're in months of spending millions to 0:08:34.800 --> 0:08:38.520 win over investors, both retail and institutional, but the battling 0:08:38.520 --> 0:08:41.480 opponents in the press has now become a reality that 0:08:41.520 --> 0:08:44.439 Bobbiga has emerged victorious in the proxy battle with Nelson 0:08:44.480 --> 0:08:47.520 Peltz from tryan more broadly, we want to bring in 0:08:47.559 --> 0:08:50.840 Crystal c for more because ultimately, with a thirty percent 0:08:50.920 --> 0:08:53.960 let's call it rally in Disney shares for the course 0:08:53.960 --> 0:08:56.000 of this year, many would say Nelson Peltz has ended 0:08:56.040 --> 0:08:59.640 up winning out no matter what financially, But has this 0:08:59.760 --> 0:09:01.600 changed the tone of Disney going forward? 0:09:02.000 --> 0:09:04.600 So actually, paltzas said in some interview that he's rather 0:09:04.720 --> 0:09:07.560 be rich than right, and I think he's somewhat achieved 0:09:07.559 --> 0:09:09.959 that goal. Like you said, the stocks are thirty percent, 0:09:10.360 --> 0:09:12.680 and he first came to the stock in twenty twenty three. 0:09:12.720 --> 0:09:15.600 This is actually his second go around with Disney. So 0:09:15.720 --> 0:09:18.199 the couple of things that he's pushing for at Disney 0:09:18.320 --> 0:09:20.480 is going to become the things to watch and some 0:09:20.520 --> 0:09:23.760 of the things our iger had personally expressed kind of 0:09:23.960 --> 0:09:26.840 share it sentiment of for on thing is succession, who 0:09:26.880 --> 0:09:29.679 is going to succeed Eiger? And that had come up 0:09:30.160 --> 0:09:32.720 again and again. And the other thing is streaming and 0:09:32.760 --> 0:09:36.640 how they achieved profitability when it comes to streaming and 0:09:36.840 --> 0:09:40.640 achieve Netflix like prof profitability, that's also come up, right, 0:09:40.720 --> 0:09:42.520 So those are the things that investor is going to watch. 0:09:42.320 --> 0:09:42.680 From now on. 0:09:42.960 --> 0:09:45.400 The pressure is on Eiger still because he promised the 0:09:45.440 --> 0:09:48.240 profitability by the end of twenty twenty four. And when 0:09:48.240 --> 0:09:50.680 you have a proxy battle, it's that it's a battle, 0:09:50.720 --> 0:09:53.120 and often in the media where you go out and say, oh, well, 0:09:53.160 --> 0:09:56.560 I'm doing this and everything's great. The pressure is also 0:09:57.000 --> 0:10:01.160 on Eiger because one of his you call it adversary, 0:10:01.600 --> 0:10:05.800 Elon Musk, is still talking about this on social media 0:10:05.800 --> 0:10:08.079 and it's an interesting dynamic, that's right. 0:10:08.120 --> 0:10:10.800 So Elon, I think it's someone pelts Us called a 0:10:10.800 --> 0:10:14.280 personal friend, and he obviously thinks very highly of Elon. 0:10:14.400 --> 0:10:17.560 Elon even tweeted that he thinks pelt should be on 0:10:17.640 --> 0:10:21.080 the Disney board, and interestingly, with so much retail influence, 0:10:21.120 --> 0:10:25.120 he actually tweeted after the retail voting deadline was closed. 0:10:25.160 --> 0:10:27.199 So I actually don't think it achieved very much when 0:10:27.240 --> 0:10:30.320 it comes to way good point pulling votes for Pelts, 0:10:30.679 --> 0:10:34.520 but he Elon is definitely interested in this situation and 0:10:35.040 --> 0:10:38.240 whether he's going to go against Aiger. We don't see that. 0:10:38.320 --> 0:10:40.480 I don't think there is any particular beef between the 0:10:40.520 --> 0:10:44.080 two men, but definitely an interesting dynamic with all the 0:10:44.160 --> 0:10:49.440 very high profile and just write all around a sub situation. 0:10:49.760 --> 0:10:51.600 Yeah, it's interesting that at the end of the day, 0:10:51.640 --> 0:10:54.160 sources told us what ninety four percent of the vote 0:10:54.200 --> 0:10:57.880 went to Tiger's reelection and Disney got all their nomine nominees. 0:10:57.880 --> 0:11:00.359 In Bloomber's crystal z e terrific reporting. 0:11:00.080 --> 0:11:00.640 All week long. 0:11:08.400 --> 0:11:12.640 Pigment a business planning platform used by companies like Klan, a, Figma, Postmark. 0:11:12.840 --> 0:11:15.280 But it's raised another one hundred and forty five million dollars. 0:11:15.320 --> 0:11:17.320 This is a Series D funding round. It was led 0:11:17.320 --> 0:11:20.320 by Iconic Growth, but other investors like Felix Capital still 0:11:20.320 --> 0:11:22.400 on board with it. And it's just ten months after 0:11:22.440 --> 0:11:25.480 the latest financing. Peas to welcome Pigment co founder and 0:11:25.520 --> 0:11:28.600 co c Eleanor Crespo joining us now and you have 0:11:28.679 --> 0:11:31.559 some big VC names behind, you have more money raised, 0:11:31.600 --> 0:11:33.840 and the first question is always what do you do 0:11:33.920 --> 0:11:35.520 with it. Where are you deploying the money? 0:11:36.320 --> 0:11:38.000 Yeah, thank you for having me on the show. So 0:11:38.080 --> 0:11:41.600 I think it's very simple. We have been very lucky 0:11:41.679 --> 0:11:44.600 actually to do this fundraising. We didn't need that money. 0:11:45.320 --> 0:11:48.199 We had an amazing traction lesture that led to that fundraising. 0:11:48.240 --> 0:11:50.160 We did three x in our revenue and we managed 0:11:50.200 --> 0:11:53.560 to send amazing customers. What we'll do is very simple 0:11:53.720 --> 0:11:56.480 is a freedom to innovate. We launched about one hundred 0:11:56.520 --> 0:12:01.240 product innovation lesture with Pigment, and we plan to keep innovating. 0:12:00.960 --> 0:12:03.480 Very very fast with AI. 0:12:03.600 --> 0:12:06.240 Of course, I think we discuss AI, but with many 0:12:06.280 --> 0:12:09.000 of the things that we make Pigments successful in the future. 0:12:09.280 --> 0:12:11.800 Okay, so let's talk about that innovation and freedom to 0:12:11.840 --> 0:12:14.400 do so. Product innovation has been bringing basic general of 0:12:14.480 --> 0:12:17.040 AI to make your product easier to use people using 0:12:17.120 --> 0:12:20.680 across different parts of their businesses. How is generative AI 0:12:20.960 --> 0:12:22.800 helping the strategic planning so much more? 0:12:23.840 --> 0:12:24.000 Yes? 0:12:24.080 --> 0:12:28.040 So, generative AI actually has an amazing application at Pigment. 0:12:28.800 --> 0:12:31.240 I think you know, an implication like pigment, back office 0:12:31.240 --> 0:12:35.440 application like Pigment use generative AI in general to democratize 0:12:35.440 --> 0:12:36.520 the access to data. 0:12:36.760 --> 0:12:38.520 At the end of the day. Our customers. 0:12:38.559 --> 0:12:41.800 What they want is to give access to data to 0:12:42.000 --> 0:12:45.360 as many decision maker as possible in the company. With 0:12:45.600 --> 0:12:48.800 the revolution of generative AI, it is actually being made 0:12:48.800 --> 0:12:52.360 possible because you can ask any question in natural language. 0:12:52.400 --> 0:12:55.160 To give you an example, our customers today with pigment 0:12:55.240 --> 0:12:57.640 can ask questions such as what was my p and 0:12:57.720 --> 0:13:00.400 l leastre in the US, give me my growth number 0:13:00.480 --> 0:13:03.800 in natural language and this is a phenomenal. 0:13:03.200 --> 0:13:04.520 Revolution for companies. 0:13:05.080 --> 0:13:06.840 Illinois ed in New York. 0:13:07.280 --> 0:13:10.640 You talked about three x in revenue, and I think 0:13:10.679 --> 0:13:12.720 that last time you were on the show in June 0:13:12.720 --> 0:13:15.240 of last year, you also said that when you raise 0:13:15.320 --> 0:13:18.280 the funds, you didn't really need them. So talk to 0:13:18.280 --> 0:13:21.400 me what's changed over the last nine months or so 0:13:21.480 --> 0:13:22.600 and what the company has been up to. 0:13:22.960 --> 0:13:25.079 Yeah, well, I think it's the exact same story. He 0:13:25.400 --> 0:13:29.640 actually run. From our internal investors. We had a lot 0:13:29.679 --> 0:13:32.520 of interest in the past two months from external investors, 0:13:33.040 --> 0:13:35.800 given that we manage actually to go up market. We 0:13:35.960 --> 0:13:40.000 signed incredible customers Fortune five hundred customers in the legs 0:13:40.000 --> 0:13:43.120 of Unilever merk We sent customers in the legs of 0:13:43.200 --> 0:13:47.680 data dog Kaks. Since in the tech industry, and I 0:13:47.720 --> 0:13:49.000 think you know, at the end of the day, what 0:13:49.120 --> 0:13:51.560 is always very important for US is to have the 0:13:51.640 --> 0:13:55.560 freedom to execute. And Iconic actually decided to double down 0:13:55.600 --> 0:13:59.880 alongside IP, Meritech and Green Oaks to actually tell us, look, 0:14:00.240 --> 0:14:03.400 we here and we will let you innovate and double 0:14:03.440 --> 0:14:05.800 down in the US and in Europe at the pace 0:14:05.840 --> 0:14:06.840 that we need to go. 0:14:06.920 --> 0:14:10.719 At the pace because you're expanding geographically, You're entering North 0:14:10.760 --> 0:14:13.040 America and now you say most of your company's revenue 0:14:13.080 --> 0:14:16.319 is coming from this region. Where are the pain points? 0:14:16.440 --> 0:14:16.840 I don't know. 0:14:17.000 --> 0:14:19.120 Is it the talent that you need on board to 0:14:19.120 --> 0:14:21.800 be able to ensure that you're basically meeting clients where there. 0:14:21.680 --> 0:14:25.880 Are So I think for us, one of the area 0:14:25.920 --> 0:14:28.760 of expansion is different here keep being the US and 0:14:28.880 --> 0:14:32.240 fifty percent of our revenue today comes from the US 0:14:32.320 --> 0:14:34.960 and this is our number one market. So for us, 0:14:34.960 --> 0:14:37.600 the big challenge is to keep doubling down, keep signing 0:14:37.760 --> 0:14:41.000 fourteen five hundred companies, and as I said, probably the 0:14:41.000 --> 0:14:44.120 most important is to build this product that satisfies this 0:14:44.200 --> 0:14:46.520 customer base. And this is where we are going to 0:14:46.560 --> 0:14:48.480 spend most of our time and effort in the next 0:14:48.560 --> 0:14:51.360 few years. To create this incredible platform. 0:14:51.520 --> 0:14:52.800 One of the other challenges for. 0:14:52.840 --> 0:14:55.840 Us is that we are creating this multi product platform 0:14:55.880 --> 0:14:58.400 because it's a platform that can serve any team in 0:14:58.440 --> 0:15:01.160 a company. The challenge is to are any decision vicker 0:15:01.440 --> 0:15:03.920 from sales to supplay chain, to finance to HR. 0:15:04.240 --> 0:15:05.320 This is what we're building. 0:15:06.320 --> 0:15:09.080 Pigman co founder co CEO Eleanor Crespo. Great to have 0:15:09.160 --> 0:15:11.040 you back on the show. Thank you so much. There 0:15:11.120 --> 0:15:14.200 is other funding news. Chip startups Seema Ai just raise 0:15:14.280 --> 0:15:17.520 seventy million dollars in any round led by Maverick Capital. 0:15:17.600 --> 0:15:20.760 The goal to develop chips designed to speed up AI 0:15:20.840 --> 0:15:25.440 applications within everyday consumer devices from cameras to cars. 0:15:25.560 --> 0:15:26.840 Here for more is the seamer. 0:15:26.640 --> 0:15:31.040 Ai CEO Krishna Rangase Christna same question that Caro led with, 0:15:31.280 --> 0:15:32.640 what do you use that money for? 0:15:33.320 --> 0:15:36.000 We are building and building up on the moment and 0:15:36.080 --> 0:15:38.360 we have on our Gen one product and as you've 0:15:38.400 --> 0:15:40.760 talked about our a Gen one product focused on computer 0:15:40.840 --> 0:15:46.160 vision solving problems and robotics, automotive, medical and smart visions systems. 0:15:46.520 --> 0:15:49.760 We are extending that platform now into moving into generative AI, 0:15:50.920 --> 0:15:53.960 generalive AI applications and we are now going to be 0:15:54.080 --> 0:15:57.160 using the capital to accelerate the development for generally AI. 0:15:57.360 --> 0:15:57.640 Christian. 0:15:57.880 --> 0:16:00.800 Let's talk about the technology then, Are we talk SEC 0:16:00.920 --> 0:16:05.440 or system on chip technology or is this basically a 0:16:05.720 --> 0:16:09.600 data center chip that's more targeted at training neural networks. 0:16:11.000 --> 0:16:13.480 No, we are focused on a different market space, and 0:16:13.560 --> 0:16:16.040 the cloud and the consumer experience in AI has been 0:16:16.080 --> 0:16:19.160 well built out. We are focused on the edge market. 0:16:19.440 --> 0:16:22.960 We're focused on things that touches the physical world robotics, 0:16:23.400 --> 0:16:28.720 industrial automation, automotive and applications that really day to day 0:16:28.760 --> 0:16:31.040 affect our lives. And that's really the focus for us. 0:16:31.520 --> 0:16:33.600 And we are also not in the training business. We're 0:16:33.640 --> 0:16:37.880 in the inference business, where effectively people can deploy applications 0:16:38.120 --> 0:16:39.160 on our chips directly. 0:16:39.320 --> 0:16:41.560 That's exactly where I want to go next. It's an 0:16:41.600 --> 0:16:46.920 interesting choice. AMD did something similar with their AI Accelerator, right. 0:16:46.960 --> 0:16:48.960 They came out with the mi I three hundred generation 0:16:49.080 --> 0:16:52.320 and said, we're mostly focused on inference because that's where 0:16:52.320 --> 0:16:55.360 the world is now. The training has been done, So 0:16:55.480 --> 0:16:58.000 what kinds of companies are you seeking to partner with 0:16:58.040 --> 0:16:59.560 that have already done the training? 0:17:00.800 --> 0:17:01.040 Right? 0:17:01.160 --> 0:17:04.960 So, I think this is almost every massive edge AI 0:17:05.040 --> 0:17:07.920 company and so you could take the top five leaders 0:17:07.920 --> 0:17:12.679 in robotics, industrial automation, or in automotive or in the 0:17:12.720 --> 0:17:13.480 medical market. 0:17:13.560 --> 0:17:14.400 We are engaged with the. 0:17:14.359 --> 0:17:18.280 Top five customers in these market segments globally, and we 0:17:18.320 --> 0:17:21.320 are scaling today. We're engaged with fifty customers and in 0:17:21.359 --> 0:17:23.719 the next few years will be increasing our reach two 0:17:23.720 --> 0:17:24.960 thousand plus customers. 0:17:26.240 --> 0:17:29.000 When it comes to your fundraise, you're saying this is 0:17:29.040 --> 0:17:32.800 about scaling too. We heard similar from pigment is that 0:17:32.920 --> 0:17:35.240 you need to spend more on talent. Is it that 0:17:35.280 --> 0:17:38.560 you need to spend more on infrastructure? Is where are 0:17:38.600 --> 0:17:40.439 some of the amounts that you need to be doubling 0:17:40.480 --> 0:17:42.480 down in from a cost perspective. 0:17:42.200 --> 0:17:44.919 All of the abower and so I think no doubts. 0:17:44.960 --> 0:17:46.200 Talent and R and D. 0:17:46.320 --> 0:17:49.440 Talent in AI is really something we have to aggressively 0:17:49.760 --> 0:17:51.760 keep up with. I mean, the technology is changing at 0:17:51.760 --> 0:17:54.520 such a fast pace. We really need to scale and 0:17:54.600 --> 0:17:57.080 make sure that we are leading the pack, if you will, right. 0:17:57.119 --> 0:17:58.560 So that's one area for investment. 0:17:58.880 --> 0:18:01.880 The second one is go to my and AI adoption 0:18:02.080 --> 0:18:04.879 is really still nascent in the edge market, the cloud 0:18:04.960 --> 0:18:06.359 and the consumer market. 0:18:06.160 --> 0:18:07.679 Is really adopted it quite well. 0:18:08.040 --> 0:18:09.920 The edge market is going to be the next gold 0:18:10.000 --> 0:18:12.200 rush for AI, and this is going to take over 0:18:12.240 --> 0:18:15.359 the next ten years. And reaching these customers, and unlike 0:18:15.400 --> 0:18:18.200 the cloud and the consumer market, we are reaching tens 0:18:18.280 --> 0:18:21.639 of thousands of customers and so reaching them, enabling the 0:18:21.680 --> 0:18:24.680 technology and making it really, really easy to use is 0:18:24.720 --> 0:18:26.240 really where we're going to apply the capital. 0:18:26.600 --> 0:18:29.600 I just want to have you articulate, paint a picture 0:18:29.760 --> 0:18:32.000 of what therefore I'm going to be able to do 0:18:32.240 --> 0:18:34.360 through the power of your technology in ten years time 0:18:34.400 --> 0:18:35.040 that I just can't do. 0:18:35.160 --> 0:18:35.200 That. 0:18:37.400 --> 0:18:40.080 Every single thing we touch in our life will have AI, 0:18:40.760 --> 0:18:43.560 and much like we interact with human beings, we'd be 0:18:43.600 --> 0:18:48.919 able to interact in context of visuals, touch, feel, and 0:18:49.080 --> 0:18:51.800 really be able to really interact the technology in such 0:18:51.800 --> 0:18:54.600 a way that we have never imagined before. And today 0:18:54.760 --> 0:18:58.480 systems are unimodeal in that you either do computer vision, 0:18:59.040 --> 0:19:02.000 or you do audio, or you do text. You're going 0:19:02.040 --> 0:19:05.160 to see merged platforms, which is a new trend called 0:19:05.359 --> 0:19:08.960 multimodal genitive AI, where you're going to now be able 0:19:09.000 --> 0:19:11.280 to do everything you do with a human being, but 0:19:11.440 --> 0:19:13.359 now with every appliance that's going to be around you. 0:19:13.760 --> 0:19:16.919 Krishner, if you phone Tesla to pitch your technology for 0:19:16.960 --> 0:19:18.920 the Optimist program. 0:19:20.520 --> 0:19:23.879 We are reaching out to very many customers and we 0:19:23.920 --> 0:19:26.119 are leading the industry in what we are doing today 0:19:26.280 --> 0:19:29.879 in three vectors. We are leading the technology roadmap in 0:19:30.000 --> 0:19:33.600 the performance we offer on our AIML platform. We're also 0:19:33.680 --> 0:19:36.480 leading in terms of power efficiency, which is another really 0:19:36.480 --> 0:19:39.199 critical problem to the edge. And the third one is 0:19:39.200 --> 0:19:41.159 easy fuse and this is what we need to do 0:19:41.200 --> 0:19:43.520 to increase the breadth of what we do. So we're 0:19:43.560 --> 0:19:46.400 engaged with a lot of customers today and like you said, 0:19:46.400 --> 0:19:49.120 I think today fifty but we really have very big 0:19:49.160 --> 0:19:51.280 ambitions for the company and one day we want to 0:19:51.320 --> 0:19:55.160 be the de facto leader servicing ten thousand plus customers globally. 0:19:55.520 --> 0:19:57.160 Seventy million is going to be going a long way 0:19:57.160 --> 0:20:01.439 for that CMII CEO question. It's great to have some 0:20:01.440 --> 0:20:10.280 time with you. Thank you for coming in today. Welcome 0:20:10.280 --> 0:20:11.280 back to Bluemo Technology. 0:20:11.280 --> 0:20:11.960 I'm Carolin Hyde. 0:20:11.960 --> 0:20:14.359 And one of the names that has a big balance 0:20:14.359 --> 0:20:17.320 sheet might be less sensitive to rates is Apple. Apple 0:20:17.359 --> 0:20:19.840