So what’s the obvious?

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2021-04-21

So what’s the obvious?

'Almost Can't Keep Up': Palantir Demo Day Affirms The Obvious

Summary Palantir's Double Click event was not aimed at investors, but the street should take note.

'Almost Can't Keep Up': Palantir Demo Day Affirms The Obvious

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","content":"Summary\n<ul>\n <li>Palantir's Double Click event was not aimed at investors, but the street should take note. After a somewhat banal demo day in January, this was a serious tour de force.</li>\n <li>Palantir demonstrated how Foundry can have a transformative impact in two entirely different industries. This included interesting granular details.</li>\n <li>Palantir has a massive head start in an entirely new class of 'data OS' software. The entry of new competitors is a sign that demand is rising rapidly.</li>\n <li>Splunk's CTO resigned the next day. Coincidence?</li>\n</ul>\nLast week Palantir(NYSE:PLTR)held the first of what is to be a series of demo events dubbed \"Double Click\". Streaming to an audience of just 3.4k, this event was not aimed at investors and street analysts. It was instead a deep dive aimed at management teams and policymakers assessing potential Palantir deployments. In this article, we will summarize this event, discuss its implications, and contextualize Palantir's leading position in what is now one of the hottest areas of enterprise software.\n<blockquote>\n Today we're building on our inaugural demo day back in January. That event brought exceptional interest in our platform from around the globe, but in particular incredible demand in the US where we just almost can't keep up....Our two platforms, Gotham and Foundry - They're operating systems for the modern enterprise. Gotham provides an end-to-end solution, from space to mud, that integrates every single sensor, every single shooter, for US and Allied defense around the world. It is a single platform that helps you understand decide and act.Foundry is by analogy that same operating system for the enterprise. It helps you understand, decide, and act. It isn't just about analytics. It's about decisions. About making better decisions.It's not just about being more efficient. It's about winning. Winning by generating sustainable alpha by outlearning the competition, and only foundry can do this. It is a completely unique offering.-Shyam Sankar, Palantir COO\n</blockquote>\nSankar also detailed the critical role that Palantir's software has played in the UK's pandemic response. The NHS has used Palantir's Foundry to manage the distribution of 7.5B PPE items. The NHS has gone on to use Palantir to manage the distribution of 33M+ vaccines, hundreds of SKUs of related supplies, across 2,500 vaccination sites. All of this incorporates Palantir's privacy protections, annealing theUK's strict data privacy regulations.\nFar from being some sort of log aggregator or data visualization tool, this demo illustrated how powerful Palantir's software, specifically Foundry, truly is. Whereas Palantirpreviously coveredthe more mundane and granular details of data integration and technical aspects of Palantir Apollo back in January, this was an exciting walkthrough of use-cases and applications.\nIt's difficult to understate exactly how good it was. It was a serious tour de force. Expect analysts covering Palantir to take note. We've come a long way from a time when CNBC wasspeculating that Palantir might be some sort of 'consulting services' company.\nLife Sciences\n<img src=\"https://static.tigerbbs.com/92bbaacbc77cbdeb3f0f7247cdca929b\" tg-width=\"640\" tg-height=\"357\" referrerpolicy=\"no-referrer\">(Image source: Palantir)\nThe first of two industries covered, Palantir made the case for Foundry's role in health sciences to be expanded beyond its current use in managing sensitive data surrounding the pandemic. Palantir covered how the same tools could accelerate clinical research, by demonstrating how sensitive health data could be analyzed in a way that complies with understandably strict regulations.\nThe demo walked through the development of a hypothetical prognostic model for lung cancer, starting with data governance. Where Facebook(NASDAQ:FB)and Google(NASDAQ:GOOG)(NASDAQ:GOOGL)have sought to simplyseize healthcare data in a clandestine format(the same way Google posted pictures of everyone's house online without their permission and used scale to make it seem normal), Palantir has built a platform that empowers data owners to work with researchers. They're in control.\nOn top of arobust suite of anonymization techniques, data governance teams have complete transparency into who has access to what data and why. This team assesses the researcher's request for data and makes sure that the access given is appropriate. This can be programmed to meet the desired data governance protocols.\nOnce a researcher has access to the relevant data, they must develop a prognostic model. Foundry enables this process to be drastically accelerated in several ways:\n<blockquote>\n ...Every study starts with protocol writing and feasibility testing in order to identify a cohort of patients that is both medically relevant and large enough for statistical analysis. Foundry's cohorting app shortens this process by bringing medical experts data owners and biostatisticians to acommon interface, and building a library of reusable criteria......I can easily adjust the criteria to expand the population without needing to cycle through various data experts to check counts. Traditionally updating inclusion criteria can often take a week or more,meaning months can go by before analysis begins.Next, I need to filter to patients with lung cancer. Instead of spending weeks compiling the necessary code sets and logic to define this disease state, I can search our phenotype library and pull from the experience of other experts.-Benjamin Amor, Palantir Forward Deployed Engineer\n</blockquote>\nAnalysis work can be done in multiple environments seamlessly, including R, Python, and SQL. These are directly integrated into Foundry. This enables Foundry to leverage the massive open source support for R, which has grown tonearly 17,500 different packages. Think of R packages like little software kits/apps for data scientists.\n<img src=\"https://static.tigerbbs.com/8357e4bfde07d67f405f41dbd6371681\" tg-width=\"640\" tg-height=\"356\" referrerpolicy=\"no-referrer\">\n(Image Source: Palantir)\nThis capability combines with cloud computing, giving data scientists the ability to offload computationally intensive workloads to high-performance computing centers. At the flick of a finger, a data scientist can spool up the massive computing power needed to analyze a large set of medical imaging data. As GPUs and other types of acceleration hardware become more powerful, the number of possibilities and speed at which they can be analyzed will continue to increase.\nMost importantly, the information gained from this analysis can be shared with the entire teamwithout actually having to share access to sensitive data.Making all of this possible is the quick unification of data from disparate sources, many different organizations with highly variable and idiosyncratic data architectures. Foundry can not only protect sensitive data, but it can cut the time needed to standardize such data from years to weeks.\n<blockquote>\n The science is really accelerated, because instead of every time reinventing the wheel, you pick the parts off the shelf that you need to use. You modify them as you want, but they're reusable so we don't have to keep designing it each time.Lots of people have large data sets, but if you make them into knowledge, or you make them usable to create knowledge, that's the secret sauce. That's what Palantir gives us. That ease of use.-Ken Gersing M.D., NCATS Director of Informatics\n</blockquote>\nThe implementation of Foundry as an organizational 'data OS' continues to build value over time, acting as a repository for information that can be leveraged later. Past research that had previously uninteresting results might accelerate future research. Palantir refers to this as the creation of \"knowledge objects\", all fully traceable back to the raw data that was used to produce them.\nIndustrials\nThe second half of the presentation highlighted industrial applications, the most impressive of which centered around managing complex supply chains. A Palantir engineer explained how the company has worked closely with customers to integrate their needs directly into Foundry.\n<blockquote>\n We've spent years working on these problems. We've actually been able to bake these hard-earned learnings back into the platform. So, now you can apply these to a specific customer's context in a matter of weeks.So, part of this is what we call software defined data integrations. Basically taking what used to take months or even years of painful manual work, and you need specialist knowledge of the underlying data sources, and actually just replacing that with a few clicks-Liam Mawe, Palantir Forward Deployed Engineer\n</blockquote>\nIn other words, Palantir can take an insurmountable patchwork of aging ERP and CRM infrastructure and quickly integrate it into a usable platform. It can even combine this with granular data from IoT sensors. This can all be done at petabyte scale, and be up and running in a matter of days or weeks, without the need to build a new system from the ground up.\n<img src=\"https://static.tigerbbs.com/0a562191824ecc2b9367c475408e7ff8\" tg-width=\"640\" tg-height=\"335\" referrerpolicy=\"no-referrer\">(Image sources: Palantir)\nThis enables companies to better manage complex supply chains, track quality control, optimize production, respond to disruptions, and scan for potential problems or weaknesses. Foundry makes this all seem so easy and intuitive because it converts impossible levels of complexity into manageable data assets. A nontechnical user can be up and running quickly.\n<blockquote>\n Previously it would have been impossible to respond with this level of understanding. But what's actually even more exciting here is that instead of manually comparing a few scenarios, I can actually choose the exact set of decisions that will optimize for the factors I care about most, which of course will change depending on the current circumstances.So while this might look simple, behind the scenes Foundry is comparing potentially thousands of possible scenarios to help this logistics manager make a final decision on the best outcome... keeping business running smoothly and customers on the move.Once I'm able to fully understand and react to today's challenges, the change models underpinning the supply chain critically allow simulation of future events to rebalance trade-offs effectively. So starting to shift from reaction to anticipation of the global supply chain.-Liam Mawe, Palantir Forward Deployed Engineer\n</blockquote>\nManagers can then take things a step further, and actually analyze hypothetical future scenarios. The granularity and accuracy of such simulations will only increase as new communications technologies (such as 5G) bring new levels of connectivity to IoT sensors and nodes.\n<blockquote>\n Supply chain and logistics managers were previously forced to make these incredibly complex trade-offs with only a narrow view of the available context. But now with the supply chain archetype, we can not only gain an accurate and granular view of today's risks, but can also simulate future scenarios and make adjustments to make sure ournetwork is ready to take on the challenges of tomorrow.So just to give you an idea of the speed and impact of the archetype, one of our industrial customers had an incredibly complex supply chain landscape with dozens of data sources, including 27 separate ERPs.With foundry, in hours they had their first integrated view of the supply chain. Within two days they were already proactively alerting on potential bottlenecks, and in just two weeks had identified around $50 million in working capital while simultaneously improving the robustness of the supply chain to react to future shocks.-Liam Mawe, Palantir Forward Deployed Engineer\n</blockquote>\nTo an IT executive, this probably sounds more like a miracle than a case study. The presentation on industrials also focused on a few other use-cases, but the supply chain analysis was by far the most impressive.\nDeep roots are not reached by the frost\nThe fact that a presentation that might have ignited investor interest in the stock and sent it skyrocketing wasn't promoted to investors at all tells you something very important. Demand for the type of 'data OS' that Palantir provides is heating up, and Palantir is now focused on marketing to potential customers in a very active way.\n<blockquote>\n This holy grail of making data actionable by tying it into the critical business systems that power a company - turning the data warehouse into a \"central nervous system\" for the business - is what's driving incredible growth at some of the most important startups in Silicon Valley, including Canva, Drizly, Figma, Notion, Loom, Clearbit, and many more.-David Ulevitch, Andreessen Horowitz\n</blockquote>\nThis is evident by the fact that there has been a rush of VC capital into startup competitors. EvenNvidia(NASDAQ:NVDA) is scrambling to get in on the action. Earlier this year, Palantir andIBMformed a partnership together.\nPalantir has a nearly two-decade head start, and any advantages that might have come from working on classifiedSAP/SCIlevel software. The CTO of Splunk (SPLK)resigned the day after Palantir's Double Click event,a move that sent the stock plummeting. Coincidence?\n<blockquote>\n That's almost always a warning sign for anybody in the cybersecurity business, because unless they are really truly skilled and have been doing cybersecurity as their main business for a long time, they usually don't got this.-Michael Daniel, White House Cybersecurity Coordinator (2012-2017)\n</blockquote>\nThe recent Solar Winds hack, whichenabled hackers to access Microsoft's sensitive source code, has highlighted the fact that a new cold war is being fought in cyberspace. Any startup entering this space, as well as any existing company looking to break in, will have to not only compete with Palantir's lengthy head start but will also have to provide cybersecurity capabilities that match the level of sensitivity of the data that they want to manage.\nThis gives Palantir an additional competitive advantage that would be extremely difficult for anyone else to replicate. If you were a CEO or CTO, who would you trust to manage your digital transformation? An 'a16z backed' startup or a company with a lengthy history of classified work for the DoD?\nPalantir's visionary CEO may have been extremely early to the party, but he wasn't wrong.\nConclusion\n<blockquote>\n Palantir's advisors include Condoleezza Rice and former CIA director George Tenet, who says in an interview that \"I wish we had a tool of its power\" before 9/11. General David Petraeus, the most recent former CIA chief, describes Palantir to FORBES as \"a better mousetrap when a better mousetrap was needed\" and calls Karp \"sheer brilliant.\"-Forbes Magazine, 2013\n</blockquote>\nWhy after such a long time, is demand for Palantir's platform suddenly expanding so rapidly?\nIn the case of the 'supply chain archetype', consider all of the investments currently being made to digitize the supply chain. There are a considerable number of companies working on autonomous trucks,which are already running commercial loads. Kroger(NYSE:KR)isbuilding out advanced picking robotic picking systems from Ocado(OTCPK:OCDGF). Boston Dynamics will roll out commercial deployments of robots that can move800 boxes per hournext year. Panasonic(OTCPK:PCRFY)plans to integrate its hardware with logistics software,recently making a $6.5B software acquisition.\nWill companies deploying logistics robots, advanced IoT sensors, and autonomous trucks also want to run their enterprise on a rapidly deployable 'data OS'?\nYou bet. That's why we are long Palantir. Find our detailed analysis and information about our $50 to $100 price targethere.","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>'Almost Can't Keep Up': Palantir Demo Day Affirms The Obvious</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\n'Almost Can't Keep Up': Palantir Demo Day Affirms The Obvious\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-04-20 14:34 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/article/4419826-palantir-demo-day-affirms-obvious>seekingalpha</a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\nSummary\n\nPalantir's Double Click event was not aimed at investors, but the street should take note. After a somewhat banal demo day in January, this was a serious tour de force.\nPalantir demonstrated ...\n\n<a href=\"https://seekingalpha.com/article/4419826-palantir-demo-day-affirms-obvious\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"PLTR":"Palantir Technologies Inc."},"source_url":"https://seekingalpha.com/article/4419826-palantir-demo-day-affirms-obvious","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1185015358","content_text":"Summary\n\nPalantir's Double Click event was not aimed at investors, but the street should take note. After a somewhat banal demo day in January, this was a serious tour de force.\nPalantir demonstrated how Foundry can have a transformative impact in two entirely different industries. This included interesting granular details.\nPalantir has a massive head start in an entirely new class of 'data OS' software. The entry of new competitors is a sign that demand is rising rapidly.\nSplunk's CTO resigned the next day. Coincidence?\n\nLast week Palantir(NYSE:PLTR)held the first of what is to be a series of demo events dubbed \"Double Click\". Streaming to an audience of just 3.4k, this event was not aimed at investors and street analysts. It was instead a deep dive aimed at management teams and policymakers assessing potential Palantir deployments. In this article, we will summarize this event, discuss its implications, and contextualize Palantir's leading position in what is now one of the hottest areas of enterprise software.\n\nToday we're building on our inaugural demo day back in January. That event brought exceptional interest in our platform from around the globe, but in particular incredible demand in the US where we just almost can't keep up....Our two platforms, Gotham and Foundry - They're operating systems for the modern enterprise. Gotham provides an end-to-end solution, from space to mud, that integrates every single sensor, every single shooter, for US and Allied defense around the world. It is a single platform that helps you understand decide and act.Foundry is by analogy that same operating system for the enterprise. It helps you understand, decide, and act. It isn't just about analytics. It's about decisions. About making better decisions.It's not just about being more efficient. It's about winning. Winning by generating sustainable alpha by outlearning the competition, and only foundry can do this. It is a completely unique offering.-Shyam Sankar, Palantir COO\n\nSankar also detailed the critical role that Palantir's software has played in the UK's pandemic response. The NHS has used Palantir's Foundry to manage the distribution of 7.5B PPE items. The NHS has gone on to use Palantir to manage the distribution of 33M+ vaccines, hundreds of SKUs of related supplies, across 2,500 vaccination sites. All of this incorporates Palantir's privacy protections, annealing theUK's strict data privacy regulations.\nFar from being some sort of log aggregator or data visualization tool, this demo illustrated how powerful Palantir's software, specifically Foundry, truly is. Whereas Palantirpreviously coveredthe more mundane and granular details of data integration and technical aspects of Palantir Apollo back in January, this was an exciting walkthrough of use-cases and applications.\nIt's difficult to understate exactly how good it was. It was a serious tour de force. Expect analysts covering Palantir to take note. We've come a long way from a time when CNBC wasspeculating that Palantir might be some sort of 'consulting services' company.\nLife Sciences\n(Image source: Palantir)\nThe first of two industries covered, Palantir made the case for Foundry's role in health sciences to be expanded beyond its current use in managing sensitive data surrounding the pandemic. Palantir covered how the same tools could accelerate clinical research, by demonstrating how sensitive health data could be analyzed in a way that complies with understandably strict regulations.\nThe demo walked through the development of a hypothetical prognostic model for lung cancer, starting with data governance. Where Facebook(NASDAQ:FB)and Google(NASDAQ:GOOG)(NASDAQ:GOOGL)have sought to simplyseize healthcare data in a clandestine format(the same way Google posted pictures of everyone's house online without their permission and used scale to make it seem normal), Palantir has built a platform that empowers data owners to work with researchers. They're in control.\nOn top of arobust suite of anonymization techniques, data governance teams have complete transparency into who has access to what data and why. This team assesses the researcher's request for data and makes sure that the access given is appropriate. This can be programmed to meet the desired data governance protocols.\nOnce a researcher has access to the relevant data, they must develop a prognostic model. Foundry enables this process to be drastically accelerated in several ways:\n\n...Every study starts with protocol writing and feasibility testing in order to identify a cohort of patients that is both medically relevant and large enough for statistical analysis. Foundry's cohorting app shortens this process by bringing medical experts data owners and biostatisticians to acommon interface, and building a library of reusable criteria......I can easily adjust the criteria to expand the population without needing to cycle through various data experts to check counts. Traditionally updating inclusion criteria can often take a week or more,meaning months can go by before analysis begins.Next, I need to filter to patients with lung cancer. Instead of spending weeks compiling the necessary code sets and logic to define this disease state, I can search our phenotype library and pull from the experience of other experts.-Benjamin Amor, Palantir Forward Deployed Engineer\n\nAnalysis work can be done in multiple environments seamlessly, including R, Python, and SQL. These are directly integrated into Foundry. This enables Foundry to leverage the massive open source support for R, which has grown tonearly 17,500 different packages. Think of R packages like little software kits/apps for data scientists.\n\n(Image Source: Palantir)\nThis capability combines with cloud computing, giving data scientists the ability to offload computationally intensive workloads to high-performance computing centers. At the flick of a finger, a data scientist can spool up the massive computing power needed to analyze a large set of medical imaging data. As GPUs and other types of acceleration hardware become more powerful, the number of possibilities and speed at which they can be analyzed will continue to increase.\nMost importantly, the information gained from this analysis can be shared with the entire teamwithout actually having to share access to sensitive data.Making all of this possible is the quick unification of data from disparate sources, many different organizations with highly variable and idiosyncratic data architectures. Foundry can not only protect sensitive data, but it can cut the time needed to standardize such data from years to weeks.\n\nThe science is really accelerated, because instead of every time reinventing the wheel, you pick the parts off the shelf that you need to use. You modify them as you want, but they're reusable so we don't have to keep designing it each time.Lots of people have large data sets, but if you make them into knowledge, or you make them usable to create knowledge, that's the secret sauce. That's what Palantir gives us. That ease of use.-Ken Gersing M.D., NCATS Director of Informatics\n\nThe implementation of Foundry as an organizational 'data OS' continues to build value over time, acting as a repository for information that can be leveraged later. Past research that had previously uninteresting results might accelerate future research. Palantir refers to this as the creation of \"knowledge objects\", all fully traceable back to the raw data that was used to produce them.\nIndustrials\nThe second half of the presentation highlighted industrial applications, the most impressive of which centered around managing complex supply chains. A Palantir engineer explained how the company has worked closely with customers to integrate their needs directly into Foundry.\n\nWe've spent years working on these problems. We've actually been able to bake these hard-earned learnings back into the platform. So, now you can apply these to a specific customer's context in a matter of weeks.So, part of this is what we call software defined data integrations. Basically taking what used to take months or even years of painful manual work, and you need specialist knowledge of the underlying data sources, and actually just replacing that with a few clicks-Liam Mawe, Palantir Forward Deployed Engineer\n\nIn other words, Palantir can take an insurmountable patchwork of aging ERP and CRM infrastructure and quickly integrate it into a usable platform. It can even combine this with granular data from IoT sensors. This can all be done at petabyte scale, and be up and running in a matter of days or weeks, without the need to build a new system from the ground up.\n(Image sources: Palantir)\nThis enables companies to better manage complex supply chains, track quality control, optimize production, respond to disruptions, and scan for potential problems or weaknesses. Foundry makes this all seem so easy and intuitive because it converts impossible levels of complexity into manageable data assets. A nontechnical user can be up and running quickly.\n\nPreviously it would have been impossible to respond with this level of understanding. But what's actually even more exciting here is that instead of manually comparing a few scenarios, I can actually choose the exact set of decisions that will optimize for the factors I care about most, which of course will change depending on the current circumstances.So while this might look simple, behind the scenes Foundry is comparing potentially thousands of possible scenarios to help this logistics manager make a final decision on the best outcome... keeping business running smoothly and customers on the move.Once I'm able to fully understand and react to today's challenges, the change models underpinning the supply chain critically allow simulation of future events to rebalance trade-offs effectively. So starting to shift from reaction to anticipation of the global supply chain.-Liam Mawe, Palantir Forward Deployed Engineer\n\nManagers can then take things a step further, and actually analyze hypothetical future scenarios. The granularity and accuracy of such simulations will only increase as new communications technologies (such as 5G) bring new levels of connectivity to IoT sensors and nodes.\n\nSupply chain and logistics managers were previously forced to make these incredibly complex trade-offs with only a narrow view of the available context. But now with the supply chain archetype, we can not only gain an accurate and granular view of today's risks, but can also simulate future scenarios and make adjustments to make sure ournetwork is ready to take on the challenges of tomorrow.So just to give you an idea of the speed and impact of the archetype, one of our industrial customers had an incredibly complex supply chain landscape with dozens of data sources, including 27 separate ERPs.With foundry, in hours they had their first integrated view of the supply chain. Within two days they were already proactively alerting on potential bottlenecks, and in just two weeks had identified around $50 million in working capital while simultaneously improving the robustness of the supply chain to react to future shocks.-Liam Mawe, Palantir Forward Deployed Engineer\n\nTo an IT executive, this probably sounds more like a miracle than a case study. The presentation on industrials also focused on a few other use-cases, but the supply chain analysis was by far the most impressive.\nDeep roots are not reached by the frost\nThe fact that a presentation that might have ignited investor interest in the stock and sent it skyrocketing wasn't promoted to investors at all tells you something very important. Demand for the type of 'data OS' that Palantir provides is heating up, and Palantir is now focused on marketing to potential customers in a very active way.\n\nThis holy grail of making data actionable by tying it into the critical business systems that power a company - turning the data warehouse into a \"central nervous system\" for the business - is what's driving incredible growth at some of the most important startups in Silicon Valley, including Canva, Drizly, Figma, Notion, Loom, Clearbit, and many more.-David Ulevitch, Andreessen Horowitz\n\nThis is evident by the fact that there has been a rush of VC capital into startup competitors. EvenNvidia(NASDAQ:NVDA) is scrambling to get in on the action. Earlier this year, Palantir andIBMformed a partnership together.\nPalantir has a nearly two-decade head start, and any advantages that might have come from working on classifiedSAP/SCIlevel software. The CTO of Splunk (SPLK)resigned the day after Palantir's Double Click event,a move that sent the stock plummeting. Coincidence?\n\nThat's almost always a warning sign for anybody in the cybersecurity business, because unless they are really truly skilled and have been doing cybersecurity as their main business for a long time, they usually don't got this.-Michael Daniel, White House Cybersecurity Coordinator (2012-2017)\n\nThe recent Solar Winds hack, whichenabled hackers to access Microsoft's sensitive source code, has highlighted the fact that a new cold war is being fought in cyberspace. Any startup entering this space, as well as any existing company looking to break in, will have to not only compete with Palantir's lengthy head start but will also have to provide cybersecurity capabilities that match the level of sensitivity of the data that they want to manage.\nThis gives Palantir an additional competitive advantage that would be extremely difficult for anyone else to replicate. If you were a CEO or CTO, who would you trust to manage your digital transformation? An 'a16z backed' startup or a company with a lengthy history of classified work for the DoD?\nPalantir's visionary CEO may have been extremely early to the party, but he wasn't wrong.\nConclusion\n\nPalantir's advisors include Condoleezza Rice and former CIA director George Tenet, who says in an interview that \"I wish we had a tool of its power\" before 9/11. General David Petraeus, the most recent former CIA chief, describes Palantir to FORBES as \"a better mousetrap when a better mousetrap was needed\" and calls Karp \"sheer brilliant.\"-Forbes Magazine, 2013\n\nWhy after such a long time, is demand for Palantir's platform suddenly expanding so rapidly?\nIn the case of the 'supply chain archetype', consider all of the investments currently being made to digitize the supply chain. There are a considerable number of companies working on autonomous trucks,which are already running commercial loads. Kroger(NYSE:KR)isbuilding out advanced picking robotic picking systems from Ocado(OTCPK:OCDGF). Boston Dynamics will roll out commercial deployments of robots that can move800 boxes per hournext year. Panasonic(OTCPK:PCRFY)plans to integrate its hardware with logistics software,recently making a $6.5B software acquisition.\nWill companies deploying logistics robots, advanced IoT sensors, and autonomous trucks also want to run their enterprise on a rapidly deployable 'data OS'?\nYou bet. That's why we are long Palantir. Find our detailed analysis and information about our $50 to $100 price targethere.","news_type":1},"isVote":1,"tweetType":1,"viewCount":261,"commentLimit":10,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"symbols":[],"verified":2,"subType":0,"readableState":1,"langContent":"EN","currentLanguage":"EN","warmUpFlag":false,"orderFlag":false,"shareable":true,"causeOfNotShareable":"","featuresForAnalytics":[],"commentAndTweetFlag":false,"andRepostAutoSelectedFlag":false,"upFlag":false,"length":19,"xxTargetLangEnum":"ORIG"},"commentList":[],"hasMoreComment":false,"orderType":2}