Palantir Demo Day: Supercut! | Must-Watch for Investors | PLTR's State of the Union for 2021!

so i thought i'd start by unpacking many of the concepts that i've mentioned over the last few quarters and uh and and help those concepts kind of complement the the demo and the discussion that we'll follow here the the core thing that i'm really excited about is that after years and years of investing maniacally and helping our customers generate alpha we are at the point now where you can you can really you can really see how upgrading the product upgrading foundry upgrading gotham upgrades the customer's uh business you know upgrading upgrades your company it does this by connecting your company it does this by delivering this crucial leverage to connect strategy and operations immediately and i think this is just profoundly powerful and it's it's a result of over 15 years of hard work and focus on alpha generation you know we didn't just stop at beta we're not just making you more efficient we're actually making you more competitive and with every update and every release of the software we're making you more and more competitive so before we start the demos here it's always good to start from first principles to remind ourselves of how we think about our products and and what we're trying to accomplish we think of an enterprise as the sum of all decisions that the enterprise makes and these decisions they're they're interdependent in really complicated and ever-evolving ways but rarely do companies model themselves that way or rarely do they operate against a structure like that so our software it functions in a way that provides the integration between all these various silos of decision making and that allows you to turn shocks into opportunities and turn opportunities into alpha the end result of this is whereas most software makes you more similar to your competitors we make you more different we make you more differentiated and you can see that you can see that in how our software-defined data integration really automates away the beta and enables you to start wielding your ontology for alpha generation in a matter of few hours and you can see that in how the digital twin enables you to simulate and manage unexpected shocks to your supply chain so you'll recall that we have developed an end-to-end offering we have an opinion of how to solve every problem north of compute it's pretty expensive and we've earned these opinions in the field you know we have taken responsibility for solving problems in an end-to-end way and that has helped us understand where the kind of conventional understanding that the reference architecture is either wrong or just broken and we we've encoded this knowledge into our platform and over the years this has resulted in an ever differentiated powerful end-to-end offering and that offering really met its moment in times of crisis including in covent where we were able to start over 80 new engagements in the first three weeks because we had this solution that you could deploy in a couple of days to solve incredibly complicated problems but it's not just a couple of days of course it's 15 years of intensive r d and a couple of days 15 years of earning and encoding that opinion and so we we were and i think we still are the only solution that can solve a problem in a crisis when time really really matters and so our investment in modularity here really enables the customer to have the best of both worlds the customer gets to take what they want from foundry or gotham and they get to build on what they already have this best of both worlds i think is really important it gives the customers the flexibility to leverage the components of founder that makes sense to them but it also gives them the benefits of the speed and uniqueness of our offering that we're so well known for and highly differentiated against and from our perspective this also opens up entirely new possibilities for us in terms of how we go to market this modularity means that we have a better fit with channel partners and a better ability to distribute our product to meet our customers needs let's start with a simple question what is foundry foundry is a first class data integration and management platform a comprehensive suite of analytical tools and an operational platform of applications for business users but at its core we believe foundry is the central decision support infrastructure for any organization we've built a software framework that translates data and models into knowledge that human operators can use to make better decisions the foundry ontology and simulation engine we are demoing today represent this connective tissue between assets in the digital world and actual decisions in the real world let's look at what this means for a large supply chain for example in a single supply chain project like the one you see in front of you you might need to ingest thousands of tables from a single erp system alone and in data from other systems like operations customer demand and finance and you quickly realize that it's extremely difficult to understand or discover anything from the data even with all of it in one place this is why companies spend years on data projects without any clear business outcomes we determined pretty quickly that we needed to take a different approach palantir foundry's ontology and simulation engine technology is our unique solution to this challenge it preserves granular data governance and security while mapping all data into a shared easily understood framework specific to the organization this ontology the representation or the digital twin of an organization provides a common interface for all downstream workflows from search and analysis to operational applications like supply chain optimization it is also a two-way interface between an organization's digital assets and its real-world operations allowing teams to feed their unique insights back into a common understanding of the business this approach is transformative for several reasons instead of reinventing data foundations for every new project you now have a compounding framework for new data to automatically flow into business applications this radically decreases the time to build new workflows and provides a built-in shared language for collaboration across functions what's most exciting is that this framework is bi-directional all user insights and decisions are recorded in the ontology where they become immediately available as data for others to build on this enables unparalleled cross-functional collaboration for example imagine a supply chain analyst discovers excess inventory of a particular raw material that will expire in a few months they can flag this as an opportunity notify a customer account manager and from there identify potential sales opportunities for those finished goods so far we've focused a lot on data and how data is mapped into the ontology to generate a dynamic model of the organization that powers decision making downstream in order to make even better decisions your team needs more than just data oftentimes operators rely on models to help them understand the potential impacts of decisions before they make them these models can be as complex as deep learning and artificial intelligence or as simple as logic like adherence to standards often used by executives once again foundry's ontology is the connective tissue by mapping models to that ontology we create a system-wide simulation engine that powers what-if analyses that were previously impossible users at every level of the organization from strategic to operational can understand the potential outcomes and side effects of a decision before they execute on that decision what this creates is an extremely powerful infrastructure that enables organizations to treat their operations like code changes can be staged and tested before they are applied for example in our supply chain control tower production and pricing models leverage data from raw materials and plant capacity it puts out production volume and customer demand estimates based on price changes this type of model is often used by a supply chain manager to decide how much of a given refined product to make from a bath of raw materials we can then chain a model like this with a seasonal demand model to dynamically optimize the product catalog and increase revenue it is notoriously difficult to understand cause and effect in a supply chain when automation fails due to disruptions or simply because status quo has changed companies have a very difficult time adapting as a result delayed orders or lost opportunities like excess inventory are commonplace in foundry all models regardless of the environment they are built in are managed in a unified framework in this we have an unexpected excess of raw materials once i look at the overview i can click into the planning response tab so i can see the current raw material excess inventory the expected demand and the percent of production capacity from there i can evaluate potential actions other applications like product planning and pricing can easily be built on top of the same simulation layer ensuring consistent assumptions and enabling collaboration across functions the connective tissue of the platform allows efficient iteration and decision making across any layer of an organization from the co to the supply chain manager all the way to the logistics analyst creating the simulations so far we've really focused on how the ontology and simulation engine provides an unprecedented infrastructure for decision making palantir foundry provides point-and-click connection integration and transformation of data data projects that previously took years are done in hours so how did we accelerate the time to value for our customers through software-defined data integration it unlocks business value in unprecedented time not seen in other software instead of spending months and years parsing complex back-end systems our sddi technology automatically connects the business readable format with the backend table names and infers the relationships between data tables including any user defined tables foundry now ships with a catalog of comprehensive out of the products that accelerate its time to value we've created these using our 15 years of experience across industries and sectors maximizing their universal utility we achieve this automation by solving the most difficult pieces first like complex data integrations developing the infrastructure for chaining simulations and developing the connective tissue through an ontology every client's challenges manifest themselves differently organizations that may look the same banks or energy companies or transportation companies can actually have significant divergence across use cases we maintain our customers uniqueness by building the framework to automate the complexity of the data integration and setup to allow for maximum creativity and flexibility in the solution and the decision space we don't simplify the solution so that it will scale we automate the complexity so our solutions can accelerate this was exceptionally relevant in 2020 during coven our customers across both government and commercial needed help now which required the ability to build applications faster than previously seen in software technologies we haven't simplified the solution so it will scale we've automated the complexity so our solutions can accelerate while maintaining the flexibility our customers demand this speed to value has been vital to our clients in the past year as the world landscape has shifted due to the pandemic and the need for digital transformation has grown exponentially as you saw today foundry provides a software solution for better decision making enabling businesses to actually turn their data and models into transformative change this is especially clear from the business and institutional outcomes foundry has enabled across the world we want to share a few of those with you today some of our partners are using software where software really hasn't played a role previously for example a law firm is leveraging the technology to provide sanctions screening to their clients removing the need for manual review in financial services customers are extending their offerings to be much more tailored to the client's reality to create customized solutions a bank is building new cash management capabilities that integrate directly with their client erp systems to solve a ubiquitous challenge for treasuries another bank is investing in using the software to build resilient trade financing solutions that are highly responsive to dynamic supply chains one insurance company is providing a shared foundation for risk management with primary insurers another insurance company is deploying an elder care operating system across japan to address a systemic societal issue of inefficient resource allocation in manufacturing companies are breaking down silos to make their value chains work much more efficiently together automotive oems are deploying the software to their suppliers to enable seamless quality investigations and supply chain coordination i want to talk a little bit about the future of foundry and how we're going to increase founder's impact we think about doing that in three ways first reaching more customers through our use case catalog and modular deployment options second reaching more users that foundry can power every critical decision made in and across institutions and this means getting foundry into the hands of every user who needs it through things like a new mobile offering and enabling users across organizations to collaborate so that they can work together to solve hard problems that can't be solved alone like the ongoing pandemic and climate change and third we're going to build on what you saw in the demo and innovate in our approach to how ai is applied to operations we imagine a world where every decision made is informed by the best data possible and decision makers leverage simulation to fully understand the wanted and unwanted consequences of their actions within complex connected systems companies have to integrate detailed data from across their global operations raw materials manufacturing logistics distribution and transport and overlay all of that data with a carbon equivalent calculation and then incorporate that cost into workflows across the business from there they can start to actually evaluate the impact of everything from daily decisions at what speed should this ship travel to long-term ones like what ships should i prioritize to replace with more fuel-efficient ones foundry solutions solves this complexity building the knowledge asset and simulation capability first and enables customization of specific workflows and applications built on top of that this is really just one example though and we see a potential for a marketplace where industry leaders can acknowledge into products that accelerate innovation across their industry as john shared earlier we believe non-tech businesses like law firms and banks can leverage foundry to distribute software solutions to their customers or partners over the past few years we've seen foundry extend from the offices of data engineers to every operational edge imaginable from the shop floor of the final semi line to maintenance trucks servicing global infrastructure to military bases and more our upcoming mobile offering enables customers to build deploy and manage purpose-built applications for mobile using the same point-and-click tools that they use for desktop for example a maintenance technician can use their phone to guide and prioritize their daily work using a triaging application powered by multiple data sources and meaningful models from there they can identify and investigate maintenance issues on site and use the app to quickly capture back additional data on the fly that then becomes available to their colleagues even more important than reaching more users is connecting those users to each other we're seeing that customers want to collaborate at a truly unprecedented rate health agencies with hospitals manufacturers with suppliers and in foundry we treat this as fundamentally the same problem whether you're working across organizations or working across functions within one effectively industries are just another large siloed organization with a few additional constraints and because of that foundry's approach is really unique and it can't be compared to surface level collaboration tools like shared folders or chat it's more joint operation than just collaboration and the way it works is that foundry sets granular security controls at the data source level and provides a shared operational language the ontology as the parameters for engagement and these parameters then flow seamlessly into all downstream business tools freeing up users to focus on the problem at hand and effectively within the boundaries of foundry work as one team equally important the system is dynamic because security stances are constantly changing shared spaces can be used for ongoing collaborations like between suppliers and manufacturers or they can be purpose-built time-limited shared spaces that meet strict privacy requirements between organizations collaborating in this way for the first time challenges like electrification of cars or prevention of the next pandemic require rapid evolution of how organizations securely share knowledge and change together the simulation engine changed models to each other through the ontology enabling users to ask what if questions that understand the potential impact of their actions on the entire system this year we want to take that one step further by democratizing optimization so in the supply chain example this means instead of manually comparing a few scenarios a supply chain manager could trivially find the precise price point that optimizes revenue without going under inventory limits that might sound pretty simple but a lot actually happens under the hood within an optimization we evaluate thousands of scenarios with each scenario representing a different set of possible actions within each scenario a simulation changed together several models finally the simulation engine returns a ranked list of scenarios and the operator can compare them and make a final decision on which action to take fundamentally though this isn't about any specific optimization algorithm but about how foundry connects optimization with actual operations we believe that by combining the software's ability to fully explore decision space with the human operator's ability to understand unmodeled constraints and information we enable organizations to rapidly adapt to changing environments and consistently be adjusting towards optimal in every decision that they make this can mean anything from identifying the optimal price to sell inventory identifying wind turbines positioning to maximize electricity generation or plotting shipping routes that will maximize revenue over the course of years past 13 years i've dedicated my life to starting and building palantir's global defense business today i'm excited to show you what's deployed and what we're building with our new gotham 21 launch it helps our nation's warfighters make life-saving split-second decisions on and off the battlefield in perhaps the most complicated environments and complected set of systems in the world the new gotham launch helps commanders quickly understand not only the choices available to them but the second and third order cost of those choices it's a game changer and applies to every business in the world in many ways this is the most important problem of our time and critical to our nation's prosperity and our way of life at palantir we've got our best engineers working to take every sensor data feed and database out there and integrating them together to give leaders across echelons a holistic view of their world and allowing them to optimize their split-second decision-making this is a big deal through a variety of challenges and learnings along the way we've had a very real breakthrough and we're combining the best capabilities of our platforms in a way that has an amazing synergy and a real world impact so with that see it for yourself all right so that demo covered quite a few things in a short time we'll want to unpack a bit what you just saw i should also mention that while our story was obviously notional the problem set was not we showed a wide array of real capabilities that are deployed in the field today gotham in 2021 is focused on building the operating system across three phases of the decision-making cycle understand decide and act let's dive in the first step in any good decision-making process is developing an understanding of the situation what do we know logic would follow that having more data leads to more insights which ultimately results in better decisions but more data doesn't magically translate to better decision making over the past decade the us government has spent hundreds of billions of dollars on sensors which create more data than ever before without a brain though better eyes alone cannot see the sheer amount of data produced by these sensors has far eclipsed what a human being can process we simply don't have enough eyes to analyze every observation every frame gotham provides the brain for these sensors fusing data and augmenting it in order to produce clear actionable views of the world and the gotham brain isn't just focused on what our adversaries are doing by connecting directly with organizational logistics and personnel data gotham provides an understanding of both sides of the battlefield a digital chessboard that maps the entire battle space if you watch enough spy thrillers you get the impression that this type of interface is common in the defense and intelligence world however the reality is that many soldiers marines airmen and sailors are forced to use a series of disjointed dated systems that merely feed powerpoint slides we're looking at data sets that would normally never make it onto the same screen let alone the same system but getting data into one place is only part of the challenge surfacing the right data to the right user at the right time is an art and of itself and it's a place that ai can play an important role for example here you can see one of our interfaces which is deployed to commanders today on the screen you can see the details of an intelligence dossier however the screen also shows data such as human intelligence signals intelligence equipment statuses and more from logistics and personnel to intelligence gotham provides unified views just like this to users across organizations and locations these views are the bedrock for developing an understanding of what's happening in the world once you understand the situation at hand you have to decide what you want to do about it gotham allows decision makers to spend less time setting up the digital chess board and more time analyzing and planning the right moves to win every military operation is ultimately comprised of a series of decisions the quality and timeliness of these decisions can often have massive real world implications decision makers at every echelon can use gotham as a digital playbook to explore different options evaluate trade-offs and model scenarios these decisions don't happen in a vacuum this isn't single-player chess your decisions are only as good as your ability to adapt to an ever-changing environment gotham allows globally dispersed users to develop and evolve decision models together in real time against an adaptive adversary lastly these decisions are being modeled and captured as a new type of data itself we can use that data to train and improve ai models which can ultimately help the enterprise make better decisions over time traditionally most operational decisions are made by a phone call or email this critical data is lost in the ether gotham provides an interface to analyze and make data back decisions that contribute to the institutional knowledge and enable our forces to make better faster decisions let's look at an example in this course of action we can see the proposed sequence of sub-actions such as tasking an asset deploying a unit and disabling the anti-aircraft system for each task there is a breakdown of how long each action will take as well as the resourcing needs and availability it's critical that this picture is real-time and adaptive users must be able to trust that their decisions reflect the most recent accurate understanding of the world in this example an intel alert has tangibly changed the parameters of our decision these changes are highlighted in the interface finally it's time to act we've made our decision and now we have to do something about it this will often take a constellation of people and machines to carry out in order to most effectively navigate this transition from decision to action gotham is deployed at the edge on vehicles aircraft and ships across the world running at the edge allows gotham to continuously analyze sensor data as it's collected reducing the time to insight from hours to seconds and as decisions are made gotham nodes in the field can communicate digitally with a wide array of military control systems to rapidly coordinate and adjust plans by sharing data from node to node and from edge to cloud gotham provides the entire force with a data fabric that is synchronized in real time this ultimately enables the enterprise to stay one step ahead of our adversaries users can access these features on the edge on ruggedized laptops and on-board displays extending their ability to understand and decide into the battlefield here we can see several real-time streaming sensors broadcasting data to a forward-deployed laptop in this case these data feeds are augmented by ai models which are running in real time on edge hardware each of these dots you see on the map is the output of one of those models we can also see the real-time locations of our own troops providing critical situational awareness that is necessary to react quickly if the safety of the team is threatened by breaking down these silos every individual can play a role in the success of the mission gotham is an expansive platform what started as an intelligence tool has grown into an operating system for all phases of the decision making cycle understand decide and act none of this matters without our users at palantir we build iron man suits not robots our goal is to protect and augment our warfighters not to replace them at palantir we're committed to supporting the world's most important institutions and helping them solve their most important problems with our software platforms these problems exist in the real world so not only do problem spaces come in all shapes and sizes but so do our customers operating environments but our software must also run in remote on-premises data centers active combat zones and classified networks from submarines to airplanes even to drones so while the vast majority of our customers are able to take advantage of our public cloud sas these real world constraints mean that many of our customers are unable to do so apollo is the silent third platform that sits behind both foundry and gotham it is what allows us to meet our customers where they are to power their missions and solve their most important problems no matter where on the world these are apollo manages the end-to-end set of software platform considerations from our developers keyboards all the way to our customers at the front line at the core of apollo is an end-to-end highly extensible framework for continuous delivery in all environments it provides an autonomous control plane for the continuous delivery of standard new product features security updates and platform configurations but apollo was also designed to meet the complex realities of our customers it understands the granular state of foundry in gotham worldwide and is responsible for ensuring that the whole fleet is healthy and up to date and it does so while working within the confines of each customer's unique requirements apollo has been key to increasing velocity of both new and our existing sas business this year we saw more customer onboarding than ever before with many fueled by real urgency around covet 19 and other critical problems facing both public and private institutions alike apollo enables us to onboard these new customers to our sas in a matter of hours but not only can we service new customers more easily but with apollo our developers can roll out features to the entire existing fleet automatically apollo is the beating heart of our platforms working around the clock to continuously deliver software to our customers it's not only automated but intelligent enabling our developers to not only push changes but to push them with confidence shipping new features faster without compromising on stability through the use of release channels soak times blue green deploys and maintenance windows we ensure that our highly available system stays highly available while we've been in the cloud since 2013 it's only in the past couple of years that we've seen massive adoption of our sas platform where large conservative institutions once viewed sas and the cloud more generally with a healthy amount of skepticism we've since seen a shift in viewpoint by successfully demonstrating its value to our customers these organizations have come to embrace our sas platform in 2020 nearly all of our customers opted for our cloud-based sas this includes industries that are very highly regulated from financial institutions to utility companies to governments across the globe apollo's flexibility enables our sas platform to support the requirements of the world's most risk-averse and most mission-critical systems today you can see some examples here listed of these systems suffice it to say they need the latest technology and they also need it without risk of downtime apollo is able to deliver our sas is authorized to be used for mission-critical national security systems by the u.s department of defense this authorization is the most stringent for unclassified data and you can count the number of other sas systems who have this accreditation on one hand we are committed to continuing to support the world's most important institutions by ensuring that sas-like efficiency coupled with reliable stability and top-notch security are our top priorities we built apollo to be infrastructure agnostic liberating our customers from cloud vendor lock-in apollo powers critical workloads and spans multiple cloud providers today and with apollo we are taking our sas beyond the usual hyperscale providers like aws and azure and we will thrive in a world of future cloud vendor vulcanization we are defining what it means to be a sas in the classified space we're moving from a world of slow and minimal upgrades with static software that quickly gets out of date to a world where the benefits of sas can be realized in the classified world as well we will solidify this position by becoming the first sas authorized for the u.s department of defense impact level 6 enabling us to scale even more quickly across secret networks apollo also takes our platforms to places where no sas has gone before to challenging physical conditions war zones remote deserts across oceans to places with delayed disconnected intermittent or low bandwidth environments places where network cables do not exist to mobile and ruggedized places humvees subs downrange data centers these are all places where customers historically have only had access to legacy static custom built systems but we've changed the game by bringing the same powerful software available in industry to these challenging environments providing them with our platforms platforms that are always cutting edge and always up to date and with apollo we've done this while maintaining sas like margins for our customers apollo unlocks unprecedented scalability because it works for even the most complex network topology combined with technologies like nexus peering apollo powers a global mesh network for the us department of defense running fixed tactical and mobile forward deployed nodes of all shapes and sizes and with apollo we can do this with an extremely small head count projects that would have previously been infeasible due to complex custom work projects that took so long to build that they were nearly obsolete by the time they were completed are now within reach all because of apollo but apollo is more than just infrastructure management as we've mentioned it's about management of all parts of the platform from our developers keyboards all the way to our customers on the front line apollo powers software-defined data integrations delivering an always updated out-of-the-box suite of tools for interacting with data sources of all types and within our platforms apollo also powers an expanding set of workflows from model management simplifying the release and testing of ai or machine learning models to anomaly detection updating algorithms and workflows for high scale sensor data and it powers these workflows for an expanding set of developers supporting applications on our platforms built by customers and also third-party partners apollo has revolutionized palutear's operations and while we initially built this for ourselves to power our own platforms our customers have recently started to ask if they can use apollo for theirs this is something that we've started to explore apollo has allowed us to dramatically expand our market footprint our existing sas has become more efficient and apollo has enabled us to go after new markets and customers who historically haven't ever been able to use a sas product we're able to meet our customers where they are and continue to deliver software at a higher bar than has ever before been possible we're looking forward to pushing these capabilities even further improving apollo to further service hard-to-reach environments and workflows and truly taking apollo to the next level apollo means we can solve the world's hardest problems and do it in a way that is scalable and sustainable on a timeline and budget that no one else can to wrap up i'd summarize that you're seeing us invest deeply in unique capabilities that continuously differentiate our offering by investing in capabilities that differentiate our customers low code operational apps and digital twins and ai enabled mission command you're seeing us invest in speed software-defined data integration archetypes are dramatically speeding up the time to value you're seeing us invest in apollo our delivery infrastructure and in modules to meet our customers where they are to integrate with their existing investments to enable channels to sell our platforms and to deliver a modern sas like experience where really no sas has gone before we have built so much over the last 15 years and we are continuing to accelerate the pace of progress and the depth of these capabilities and as alex has said we build products the world needs that our customers need even if it isn't completely obvious how much they need them just yet the foundational investments that we made a decade ago enabled us to be prepared for covet and to meaningfully help over 100 commercial institutions across 35 countries and as well as well as 10 national level governments responding to this crisis and similarly the investments that we were making today the road map we are executing on will be there ready to meet the moment ready to meet what may come thank you all so much for joining us

Channel: The Investing Opportunity

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Keywords: Palantir demo day, demo day, pltr stock, pltr, ark invest palantir, Palantir presentation, PLTR demo day

Id: EFP3sBQfaww

Length: 39min 54sec (2394 seconds)

Published: Tue Jan 26 2021