Pls, make more educational videos about Palantir. We really love how you break Palantir down and we easily understand it. 20k+ members of r/PLTR are rooting for you to explain Palantir like we're 5-year-olds because we retards. You have my sub!
Just like others, came here from Beyond's shoutout. Loved the content, liked and subscribed. Can't wait for new videos. Amazing job explaining PLTR 's operation. I don't believe any RUclipsr has been able to.
Thanks a lot for this AMAZING educating material piece!! This's the VERY FIRST time that I heard anybody talking about PLTR in such technical depth perspective. The business consortium and big data os concept are mind-blowing. Hats off!
Awesome in depth video. What I figured out with this video is what everyone is missing on understand Palantir is understanding the industry where Palantir is in.
Thank you for this very detailed explanation of Palantir. I like in particular, that through your expertise you actually can name the challenges and risks involved. So thanks for sharing this information with us.
The architecture diagrams were pretty straightforward for anyone with an average understanding of aws and ml and were easy enough to be explained to the layman without much difficulty
Best channel on YT. I learn so much so quickly. You make the content relatable even though it is so far removed from my life as a simple small business salesforce architect/admin and finance manager. You help me understand a little bit more about how much I don't know. Thank you! Also long PLTR but come your channel as much for the education.
I can listen to you talk about this stuff all day. This video was posted a year ago. Fast forward to your interview with palanTrillion, and you were spot on with your analysis of the company. Looking forward to viewing your channels content…$13 seems to be a reasonable entry point. 🤑
Hi CodeStrap - first off, thank you so much for all that you do for our Palantir Community! It’s amazing people like you who really keep the momentum and conviction strong within our retail investor community. I had a question in regards to the models that Palantir trains - you alluded to this idea through the technical concept of transfer learning. Can you talk a little bit more about this and explain the concept here? My understanding is that the ontologies / models that Palantir builds for each client, only benefits that specific customer. Why would an outside irrelevant dataset model help another client with a completely different set of ontology / rules and guidelines for their datasets? In addition, in a recent Guardian article “seeing stones: pandemic reveals Palantir's troubling reach in Europe ” - it states that “Palantir does not use its customers’ data to build, deploy, transfer, resell, or repurpose machine learning or artificial intelligence models or ‘algorithms’ to other customers” - doesn’t this also deny the hypothesis that Palantir’s transfer learning from powerful data sets (e.g., the U.S. army) is an X-Factor to their product? Thanks again for your time! - B
Hey there! I had the huge reply and it got totally wiped out by accident. So here is the shortened version. Transfer learning requires the base model data sets are massive and not highly correlated to the target models' data set. They solve lower-level problems (for example named entity extraction) which require way more data than say a model meant to do key-value pair extraction of an invoice. You can find examples with a quick google search. For example, AWS platform services like Forecast and Rekognition use massive unrelated data sets to train platform models that then get applied against a customer's domain. The second part of your question relates to PLTR's internal policy on the use of customer data in repurposing models. I don't need customer data to repurpose a model. I need the tools I used for feature engineering to produce the base model. 90% of the work in creating the model is preparing the data and doing feature engineering. So I could easily not violate that policy and still produce ready-made base models for my customers. Even straight reuse of the produced base model might not violate that policy. Companies that offer both services and solutions often have large contracts that not so clearly define who owns what in the stack. If the company is unique (ie there not 10 more just like them), they are usually heavily in favor of the vendor. There are often numerous clauses that detail exemptions, etc. So to really know the answer to these questions, I would need to see an actual master service agreement and be able to ask some questions. If it's as black and white as the quote makes it out to be (not likely), I'll be buying more Google. But ask yourself, if you were building an ML/AI platform would you kneecap yourself when you could deliver data privacy protections for your customers and still reuse the most valuable portion of the IP?
MORE PLEASE. I invested in Palantir early knowing it was big but didn't know what it was. This is the first video that laid it out. Thanks. What does it mean ERP and CRM is dead. Which companies will it hurt. Who is on the leading edge of the new wave. Where is it going? Who leads in the blockchain programing. So many questions. Thanks again.
The ERP and CRM space is largely this Frankenstein monster of plugins with terrible user experience. It's really human-centric. Companies like Microsoft/Oracle/SAP/Infor have been trying to make inroads into ML and data lake formation, but they have all failed IMO. All the innovation is coming from Apache org which is largely supported by the work of Facebook, Google, Amazon, etc. Databricks and Snowflake are two major innovators as well. The new enterprise won't be using SAP's crappy UI to empower employees who are using domain knowledge as a way to subsidize their poor performance and unwillingness to learn and innovate. The new ERP/CRM will be centered around the data lake with, as PLTR puts it, an actions layer that will be codified on the blockchain with human assist. The sale funnel for example won't need a person to research the lead and hand it off to the pit for a cold call, etc. Models will analyze all the data points attached to the lead, automatically enrich it, execute a contract on blockchain that triggers a call bot to do the follow-up. Google has already pulled this off in a POC phase. So that's one example of how the sales funnel will change in ways that disrupt existing CRM solutions.
Great job on the presentation and delivery. Also, it was good to hear the perspective of from a subject matter expert. We often have to make due with either Wall Street, professional analyst's, or other retail investors like ourselves analysis of Palantir. This was kind of like Sandy Munro breaking down a Tesla first hand with expert analysis and feedback.
great video, excellent content! thanks! I feel the exact same way about Palantir when I was doing research about Palantir. I thought Palantir was putting graph database concept into software, now you say Google is Palantir's biggest competitor which makes perfect sense!
Came here from "Beyond our Money." Thank you for such an enlightening video. After researching Palantir for about a month, your video was the most detailed explanation and best comparison to other tech. You mention how Google is a strong competitor and could possibly crush Palantir. Not asking for investment advice, but would you be willing to share your percentage of Google ownership verse Palantir? Just curious if it's 50-50 or highly weighted in one direction. Thank you for providing such a great video.
50% Google 25% PLTR 25% IBM. My PLTR position is growing with the price dips (it was over-bought above 20 IMO). IBM has been a major contributor to natural language processing which is especially important in unstructured data. IE emails, documents, etc. I actually had to research the work their labs team did as part of an invoice automation system I was building. The fact IBM is selling PLTR is a win-win in the short term. As I've been saying watch for IBM to make a squeeze on PLTR. IBM CEO is on a mission to reinvent the enterprise cloud. So don't forget about IBM. It's on sale too.
@@codestrap8031 Thank you for your wonderful reply. There are some that say Palantir has built a moat for which others cannot catch up for a long time or without spending millions/billions to get there. Can you let us know your thoughts on that? I greatly appreciate you sharing the 50-25-25 Google, IBM, Palantir approximate holdings. It appears both Google and IBM have 50-65% institutional ownership and for many reasons are likely to be much slower movers of price as compared to Palantir. Personally, I'm looking for a stock that can 4-6x (or more) in 5-7 years. With a higher potential return comes higher risk, but do you believe either Google or IBM has a similar potential to increase as dramatically as Palantir? Very much appreciate your time and thoughts!
Apache spark is the open source version of the databricks platform. Spark was created as a research project by the founders of Databricks. I love the databricks platform. Its a huge improvement over vanilla spark and has AWS infrastructure as code to get up and running fast. I will be investing in them at the right price when they go public. Spark is the number one tool we use for feature angineering, ETL processing, and most important data streaming. And yes, Google is going to the moon. Its just getting started. Google is the number one and number three (class a and c) stock held by big investors. The knowledge graph is a juggernaut that will power the world's most advanced AI one day. Its not even close. Other companies like PLTR give companies control over their data. That is why I keep focusing on the ERP space for PLTR and IBM. PLTR has the unique advantage of having access to perhaps the one data set better than Google's. Those three letter agencies. Companies that compete with Google, and value secrecy won't be building on top of their platform either. I also am buying the companies that are early adopters of PLTR including BP. I truly believe that the advantages these companies gain in the next 5 years will be insurmountable for thier competitors. There are at least two Harvard School of Business studies highliting the advantages of companies that implement successful AI initiatives. You can't just turn on a platform like PLTR and have it deliver max values all at once. Data sets have to be governed, models have to be trained on your domain, worflows and organizations need to change. This takes time. So if Coke tells PLTR to take a hike without a viable replacement but Pepsi goes deep with PLTR, I will buy Pepsi. Its just an analogy, but I believe Coke told PLTR to take a hike.
The moat is massive IMO. If we rewind to the PayPal era they were solving problems using human assisted ML before anyone was even thinking about this. They did it out of necessity, bit if you look at the team, they are all geniuses level engineers. Could anyone else have pulled that off at that time? I think had it been any other team PayPal would have gone under due to their inability to stop fraud. Couple that with a decade of production deployments of the most advanced ML based systems ever deployed in the most stressful environments I would say yeah, their moat is fing big. Not insurmountable, but big. But I am not the expert here. I have yet to get my hands on this system. The people who use this system can't or won't really talk about it. So just make sure to stay on top of the information as it leaks out.
Your videos are incredibly informative! While there’s an obvious focus on PLTR, the general IT knowledge you present is excellent for those who don’t “live” In that world. I’m going back and watching or re-watching everyone of your videos. Thanks for sharing your hard work on all of these topics.
Thanks for the video, very informative. I've seen your video with Amit and the gangs, the way you describe things from a s/w perspective to a someone external just got me connected right away, especially with decentralisation and the blockchain. I'm working with a lot of data, using Tableau mainly, and it seems like being without a s/w background there's no way I could get myself into Palantir. But I'm a firm PLTR believer since day 1 and going to continue to learn bit by bit and plan to watch all of your vids. This marks the start of my journey learning from you. Hello, world!
Great video. This is exactly what I needed being a neophyte, but I knew intuitively PLTR was a company I wanted to invest into when it went public. I own Google too.
I just subscribed... Awesome explanation... I already own PLTR and reciently sold GOOG because I thought they were not keeping up. Wrong... I will reinstate my GOOG position... Thank you...
Brainly is coming out with a CLI tool for React. I'm part of the project. Will be announced on the channel when it's released. I've been developing it for 6 months with my team. It including code generation for components, modules, routes, and more. It's based heavily on the Angular CLI and even uses Angular Schematics under the hood to support customization.
Thank you for your contribution on palantir. Not gonna lie, you spooked me with the google killing palantir part, lol. I`m nowhere near your intelligence level so thank you for being able to explain things better for us all.
Great quality video. Subbed. I have no background in computer science but found much of what you talked about accessable. I've been buying PLTR since the DPO, mostly based on Thiels involvement, still trying to get a better understanding of the company and competition. Thank you!
Great analysis simplified for a common man. I see you have reservations against ERP, but in light of yesterday's announcement for Amazon AWS to implement Palantir ERS suite, what is your feeling on that, as well as IBM partnership? Strange how much a month brings about so many changes.
Hello first time caller and listener. At around 14:50 you are talking about how they are a Business Solutions atm over having a SaaS platform. So two questions 1) what did you think about their presentation around 2 weeks back and how it affects how you understand the company. 2) What did you think about their ERP suite on AWS in regards to the statements you made at the time mark?
also Would like to state for context, im in my last year of Software Engineering and have 280 shares of PLTR rn. have a bit of AI background through internships and research and their IP sounds unbelievable
The presentation definitely changed my perspective on Gotham. After the demo its pretty clear Gotham and Foundry are the same platform with different customer bases. I read this in several articles leading up to the demo as well. But their website at the time I was doing research wasn't really clear on the separation. They've since launched a much cleaner investor relations site and I think their public site has gotten a refresh as well. So its clear now. If you are in engineering checkout Amazon's quickstart guides. These are essentially run books that will spin up reference architectures for leading solutions providers. New Relic is a good example. I suspect this is the actual substantive deliverable. So I was like this is huuuge. They are solving the solutions problem while expanding thier TAM. They still need developer tools and channel partners in my opinion. Bit it was like a quantum leap is such a short amount of time. And on top of the IBM deal. I was also pissed they did not announce this in the demo. They downplayed commercial so much I thought they were leaving it on the table. I need to get my hands on this software. They are so secretive about this stack! My guess is they don't want people to know how much integration work goes into onboarding. Getting all that data from ERP and other unstructured sources is a total pain. There's no easy way to do it. Once I can actually use and develop on the platform I'll have to release another follow up video. One reason I wanted to post this video before the demo was to see how well I was speculating based on the information at hand. Seems like I'm tracking for the most part, but I have major question about the data lake formation and data streaming, especially unstructured and semi structured data sources. My belief is they ingest from just about anything. Spark or Kafka streams, RDS, event sources, email, OCR etc. But that's a pretty big assumption I need to validate. The other is the quality of the models. Anyway ill be live steaming on Beyond Our Money Saturday. Hope you can join us. Will be good to have other engineers on the stream.
@@codestrap8031 so i just realized what you meant by Beyond our money haha, didnt know it was another youtuber. I will definitely watch the livestream record tomorrow and get back to you, sorry I didn't attend
Loved your opinions on Tesla haha, The master algorithm,AI generalization, is definitely 30+ years away! Bought more palantir today, what did you think of the IBM video? I loved it
I just thought of something that kinda worried me and maybe you can give me your thoughts/ opinion. My brother-in-law worked for Google and was one of their first employees. With his stock options it made him very wealthy by age 35. He retired a year or two later after vesting. I do realize Google obviously didn’t miss him because that was 15 years ago, but I’m still a little worried about a brain drain at Palantir.
Its more of a concern with Angel investors IMO. I know a few people at Google who are not there for the money. They are there to advance the field. Dont stress. I think they still employ more phds than anyone.
Just because I want to get to the bottom of it, What I've seen from their Demo day and from your presentation is that they've solved deployment at scale, have solid build management, solid approach for security, which is critical for Lifecycle management. Edge & signal, supply chain visibility, automated/assisted decision making, based on machine learning and AI - this is great. However I have not seen a lick of classic ERP functionality. That's why I don't buy that the likes of SAP and Oracle are going to disappear because of this announcement. How I see it, is that Palantir has announced that they can host the infrastructure for ML/AI on AWS, and it can connect to classic/legacy ERPs. They already can connect to SAP, and it looks like teaming up with IBM so that they can provide insights from these ERP systems.
Its my opinion that ERP systems currently are the gatekeepers of the data. For example, Infor has a data lake product to enable AI based initiatives. What feeds the data lake? Plug-ins that for example do invoice processing using OCR stacks. Is the data lake offering any good or otherwise differentiated from AWS S3 and Glue data catalog.No. Then there is the problem with the plug-ins themselves and the workflows they enable. Why do I need Alice and Bob slowing down my AP drawing boxes on OCR templates and checking workflow boxes when I can say "hey PLTR, pay all my valid invoices per the terms if deemed valid". The ERP system is just a gateway for the data in a human centric system where machines are still at the edges. Do machines need a UI to perform workflow? Do we need Jane in finance performing authorization when all the contract and regulatory requirements are codified in digital contracts? No we need Jane in finance running simulations for fraud detection against the entire payments data stream using PLTR. And Jane might need an Algebra 2 and stats refresher to be trained on how to tune the model. The 0 to 1 move here is the role the models play. Currently, to my knowledge, AI in ERP is just window dressing and buzz words. PLTR appears to deliver where all these other vendors have failed.
@@codestrap8031 I agree on current state of AI in ERP, you're spot on. And yes ERP is a complex data repository (that's why PLTR does all these ontologies). OCR for AP is just one of hundreds of use-cases, and there are better ways to do invoicing, like EDI or the smart-contract blockchain-based approach. However all my research indicates that PLTR does not provide classic ERP functionality, they outrun ERP vendors on smarts data processing and simulation
@@EugeneShamshurin I think we agree, which is why I said ERP is dead. I think we just reached a separate conclusion on what having a digital simulation of an organization combined with blockchain technology means for existing ERP systems, and more importantly the workflows (and marginal producers) they empower. It's my belief they are a lot like those people in that photo on the arctic ice, dead but they just don't know it yet. Seriously though great comments. Tune in Saturday on Beyond our Money. I'll be on there and you can chat in real-time with us.
@@EugeneShamshurin hey I just want to follow up on this because the new PLTR site has this one quote I think says it all: "Break out of inflexible software and connect your crucial business functions - making use of existing investments while removing the blocker of system migrations." I read that as forget that old crappy ERP suite you are stuck using. We'll take the limited value those systems have (the data) and roll it into our system. This is a form of a strangler pattern (I use this pattern a lot in LAMP stack migrations). This is a way of phasing out legacy systems.
I have mixed emotions. The question with things like this is if both parties will benefit. I own IBM too, so some part of my portfolio should see an upside here. Ultimately I think it expanded PLTRs TAM. I also love Fabric on IBM cloud. Its a better blockchain platform than AWS managed blockchain. IBM is really focused on bringing ML based solutions to enterpeises. They very well could reap the vast majority of the revenues. If PLTR becomes sales bait for their cloud and enterprise solutions watch out for an acquisition.
I'll post some more for sure. I'd rather participate in live streams on other channels though. I actually created this channel to promote careers in software engineering. Specifically software apprenticeships. I maintain an open source project that details apprenticeship opportunities and study guides. I want the channel to be holistic though and include how to invest in technology for even more prosperity.
going to put my comments here for the beyond money video to give you more traffic. I see in the wild so many legacy systems running on old unix backends like sales systems (think auto parts franchises), banks (bank officer usually has a ton of tabs open checking your info in different systems). One of the features the way I understand it is Palantir is able to connect to a these kinds of systems, bring the data into the data set on the fly. Recently they mentioned the ability to write back to these systems was rolled out to customers. If this is a unique feature I would imagine it is a huge competitive edge where you don't have to retrain employees immediately while the "strangle" occurs. the auto parts worker just keeps doing his thing as always but if an analyst or some ml/ai for example working higher up in the org makes a connection between 2 records lets say John Doe and Johnny Doe have the same phone number registered in 2 different systems the software will go back to the source of 1 of those truths and be able to modify the entry in the legacy database updating it while maintaining authorization authentication and auditing. Im sure this is also huge in the "strangle" likely happening in the govmt over the last number of years as Palantir displaces sensitive legacy systems. Am I understanding this competitive advantage?? Nobody ever seems to point it out meanwhile Palantir themselves have mentioned it in at least 2 of their presentations since ipo. thoughts?
I haven't seen those demos. I have worked on similar problems that relate to data lakes. For example, we may have a user supplied property address in our raw data lake that was dumped from a mobile web application database. However the property address or business category may be wrong. We discover its wrong by merging the data with our "master" address and property data set using some custom algorithm and tools like Spark. We then join the result with the original data in the same row, score it, and push it to a curated set. All this is automated and run as part of data streams or ETL jobs. Everything downstream depends on the curated set. The way we've built these systems the operation is idempotent, meaning the same garbage input will generate the same output. So we haven't cared about repairing source data in the external systems. But if users of those systems want to see the updated value tou now have to perform a distributed transaction. Its debatable if this preserves system correctness in all cases though and you can find yourself quickly in distributed transaction hell. If they are doing this thats a cool feature.
@@codestrap8031 if you use beyond moneys demo day youtube around the 16 minute mark they talk about writing the data back to the source. ill look for the video from pre dpo where they explained this was a feature being deployed by fde for a client that was going to be rolled out to other clients (and ultimately was with foundry/gotham21(titan).
Subscribed ! Can i request another video just to understand some of the terms that palantir and you used ? For ex - ontology , signals , etc ? I mean not even sure what that means.
I have a question @CodeStrap... When you say Google can "crush" Palantir if they develop the means and decide to implement it, does that mean Palantir will essentially become worthless in the entire commercial sector? In other words, is it impossible for them to co-exist in some what such as DocuSign and Adobe E-Signatures??
Great question! Its hard to say right now. I know if Google finds a way to offer superior AI at a fraction of the cost they are probably out of the small to mid market customers who use say GSuite level services. But as well all know SAP is still going strong even though there is Salesforce. The knock on SAP back in the day was its expesive and hard to install and maintain. So they evolved and have a bigger market-cap today than Salesforce. We dont yet know what is going to happen when a company has a clearly superior AI alternative for business yet. Its playing out right in front of us. Today 3m announce AI powered clinician and revenue cycle tech that I assume is largely enabled by PLTR. If Google a year from now announces a superior AI that enables 3M competitors with a clear market advantage, can 3M afford to use PLTR? The AI wars when they materialize will be like nothing any of us have seen before. This "winner take most" buz phrase really means superior AI that enables business automation and human augmentation. I do believe that is a zero sum game, and I think people like Alex Karp feel the same. That's what he means when he says we as a country can't afford to lose the AI battle. Let that sink in for a moment. Its a zero sum game when the dust settles IMO. But the time horizon is a total unknown at this point.
@@codestrap8031 Thank you for the answer, this is in fact slightly scary in a sense... I didn't look at the AI situation in this light. In a sense, all these videos claiming that PLTR has no competition are completely false... A company like Google has access to some of the largest amounts of information... PLTR does enjoy the fact that it was purely created upon doing this and focuses solely on it. It does open my eyes to the risks, thanks.
@@codestrap8031 I did have a thought about this, though. How sure are you that managing datasets is a zero sum game? This all goes very deep because imagine hacking. Look at what these hackers have done to microsoft recently. Say PLTR or China develops the best AI couldn't it be hacked? You seem much more knowledgeable about all of this but it seems hard to believe that there couldn't be somewhat of tiers of AI that different companies could provide to different types of businesses... As much as you say google can do it, in your honest opinion, doesn't pltr seem to have spent more time with more geniuses focusing specifically on doing this? If AWS and IBM already basically threw in the towel why are you so sure google isn't the same? Google engineers may have been quite focused on advertisement in recent years while pltr was still a private company developing their product. This is why karp seems so confident that they don't have much competition? I find it surprising if karp is telling a bold face lie when it comes to that... Just my thoughts
Amazing video. Looking forward to your new content. Would love to know what you think of the decentralized cloud network FIL and how it could compete w AWS, Google. Thank you.
Hey Joel! I have not used FIL, so I'll give you my thoughts on decentralization and web 3.0 generally. I have been heavily exploring decentralization and found several projects that are really cool. Kings Distributed Systems and Vendia are two that I am involved in. The problem with web 3.0 (distributed clouds I believe are a subset of that problem) is the distributed systems problems they are trying to solve border on the impossible, at least at the commercial scale. And none of them have a truly complete cloud platform (to my knowledge) with all the tools you would expect (highly available, durable storage, distributed databases, messaging, compute, etc). Also, some of the underlying problems decentralized applications are trying to solve could be conquered more easily by applying common carrier laws to cloud providers. KDS and Vendia are agnostic to this, where other projects' primary reason for being is to avoid say censorship. It's possible distributed clouds could one-day rival Amazon, but if you want to really get a sense of the time horizon consider AWS lays its own oceanic cables, is now one of the largest manufacturers of switches in the world, makes its own chipsets, and has enough platform tools to make the largest word salad jealous. I hope the future is a world where the fears decentralization is meant to solve are less relevant than they are today.
What about MSFT? I'd be more worried about them. Google is notoriously bad at selling to businesses. Also it's widely known that Google keeps killing their own products - they are a low trust business partner, maybe acceptable for B2C "for free" products but a no-go for B2B.
I agree. I've been calling them a sleeper mainly because people are overlooking them. I subscribe to Microsoft Research and they've been doing amazing work. Checkout my interview with Sachin and Amit, we div into this.
Absolutely brilliant video, and I really hope you can do further collaborations with Beyond Our Money - Did you have any thoughts on how Palantir compares to its peers in its readiness to take on government + military contracts? Media reports in the past have tended to say that the likes of Google and Microsoft are not able to take on every single project out there due to ethical/moral reasons or whatever. Do you see this as a strong building block for Palantir in a sense, with Google and the others posing possible strong competition for them on everything else?
My level of expertise in this area is basically none. I have to track the certifications that AWS has in each region to deploy infrastructure for my clients. So I know that AWS has achieved the most FeRamp certifications to my knowledge. But PLTR is looking to get into that beyond classified space which doesn't have a cloud equivalent to my knowledge. Also, the way PLTR is positioning itself in the Government space is to offer software on any infrastructure. So they essentially bypass a lot of the regulatory hurdles by deploying on existing approved networks. They still have to pass compliance audits for their software though. Again, this is not my core area of competence. I can say just getting the security clearance for your personnel to step foot in some of these buildings can take months if not years. Other defence contractors appear to have benefited from that.
@@codestrap8031 thanks for the info - very interesting. And thanks again for the video, it's the best one i have seen so far on Palantir, actually i would really value your commentary on any further demos they do - maybe this is something you could do on the Beyond Our Money channel?
CodeStrap - Would you be willing to provide a quick reply or video on current thoughts. I'm guessing you're just chilling out like all of us (maybe not adding to...maybe not selling), but it would be great to see if your thoughts on PLTR have changed over the last few weeks. I know you're just a guy on RUclips and not a financial advisor. Thanks much and hope life is great!
Thanks, Jason! Nothing has changed in my book. I've been buying and continue to buy. If anything I continue to get confirmation on predictions and expectations. Seeing how IBM is using PLTR really confirmed for me their ability to act as a big data OS that powers ML initiatives. I fully expect the Double Click event to confirm much the same. I still see Google as their biggest competitor. I have a new video coming out which dives into data privacy, IA (intelligence augmentation) vs AI, and the effects of primitive AI (which we mistakenly label as social media) on society. I also dive into how PLTR is the only innovator in the IA space. The IA vs AI battle could have some pretty massive political, economic, and social implications. It's also at the center of the push for decentralization and blockchain adoption. For example, primitive AI is already being used by the CCP to deliver always-on surveillance and citizen scores. Imagine for a moment a society where the government compels you to use AI (which they call social media), with a lack of "engagement" resulting in imprisonment and forced reeducation. This isn't fantasy, and companies like Google are helping the CCP make that world a reality. This is what Alex Karp meant when he described the "totally dystopian conversations" that are happening in the valley. So stay tuned. This next video is one you do not want to miss.
I keep reading about what a head start PLTR has over their competitors but there's nothing to prevent Microsoft, Snowflake or SAP from copying feature for feature. So what's the real secret sauce for PLTR?
This is a great question! If you haven't worked in engineering, specifically in AI/ML space, it's really hard to verbalize. I'll try though. I think it really comes down to the people. Who are your SMEs, and how many of them do you have. What is the novel way you are solving the problems everyone else is also trying to solve. What most of us are finding is that platform tools alone won't crack the AI nut. PLTR has spent the last two decades building a software company around a combination (keyword) of services and platform tools to allow organizations to take advantage of AI. They also have a secret, and that secret is AI by itself is fools gold. Based on my experience in this space I agree. Their unique insight has bled into every level of the organization including how they leverage their forward-deployed engineers, how they organize and maintain their codebase, how they build ontologies, and a lot more. This process of many small innovations creating a very large moat has an industry term attached to it. I forget the term though. Also, the position in the government space is unparalleled. That is not something anyone can do regardless of how much money they have. It takes time and the cooperation of many government agencies that don't like to cooperate with each other. Anyway, it's my opinion that their moat is huge.
@@codestrap8031 Not being a technie I can't say I completely understand your answer but I appreciate the reply. I do agree given Palantir's DNA coming from the CIA it's hard to see them not having advantages that can easily measured especially by Wall Street. Having such a moat is what people like Warren Buffett emphasize all the time. Do you think Karp is the right person to take PLTR to the next level given the fact he doesn't have a technical background? I know Steve Jobs ran Apple very successfully not being a true techie either but don't you think what Palantir is doing with AI, all the complex data sets and with quantum computing down the road is far more complex than making an iPhone?
@@ginsengroot815 I've been highly critical of Karp. I feel he's not a good frontman. I mean, he is literally telling short-term investors we don't want your money. He's brilliant but alienates a lot of people because he knows he's right and doesn't pull his punches. Watch that interview from the other day and you'll see exactly what I mean. Having a formal CS or engineering background is pretty meaningless except in the more academic areas within a software company such as AI research and low-level system design. Jobs dropped out of college I believe. I'm a self-taught engineer who is now a CSO. Karp has been running one of the most advanced software companies on earth for nearly two decades. I'm guessing he's smart enough to probably teach at many CS programs by now. I think the company is going to struggle in the short term (maybe even the long term) under Karp as the public generally takes what he's saying as somewhat confrontational. That doesn't change the fact he's generally right about almost everything and is probably the most brilliant person in the room at PLTR.
I'll be doing a live stream on Beyond our Money Saturday. Tune in. We are going to break down all things PLTR and whatever else we wander into. Tesla? Google? The future of EV? It's all on the table.
@@codestrap8031 Sounds awesome, I’ll definitely tune in. In your opinion, how much of an issue is the process of transferring or migrating data; is it a hurtle that would deter customer acquisition, at least in the short term? And if they aren’t able to scale quickly, how much of a challenger do you think Google is to Palantirs potential growth and monopolistic moat? Not to mention Google has a ton of money to scale at a faster rate. Or do you think they’ve gained enough of an advantage with their work and book of business with the government and law enforcement? Do you see anyone as a competitor to Palantir in the government sector?
Regarding the Google threat, could you make that argument against pretty much most tech companies. If Google really wanted to get in, they would have a huge data advantage and talent advantage.
Update: Google is in. Checkout Vertex AI from GCP. It's a Foundry competitor as is AWS SageMaker Studio. Google is also destroying PLTR in the AI research space, along with everyone else. IMO advanced AI will eventually be a commodity that gets rolled into the big data OS (Foundry, Vertex, etc). So it's not the end of the world if Google dominates in the AI space. The big data OS that allows you to govern your data and AI usage is the really the future backbone of organizations.
I'm a share holder. 2025 I see them pushing above 30 broader market permitting. The inflection point for me is 2025 though. This is when their customers who adopt now will dominate their respective markets. I also think they will be able to scale the mid market at this time. Basically they will be printing money like Microsoft when they took over. But keep in mind we are speculating here. Daniel Kahneman has the best perspective under his chapters "Illusions od Success". If you play the game you know whay im talking about. No crystal here just some good luck and some good cards.
Taking into account, as the great CW puts it, a valuation reset yes. Don't forget PLTR lost what, a billion and change in 2020? Assuming the markets correct and they grow at at least the rate projected that would be a fair speculative valuation assuming at least four billion in revenue materializes. I do expect 2025 to be the inflection point though. Its hard to know how much money they will be printing over the subsequent five years, but I think it will be enough for the stock to start a rate of doubling on par with Tesla last year.
@@codestrap8031 They have also said they will be investing heavily in themselves to support growth so you may be right that it will basically trade sideways until approx. 2025
@@codestrap8031 If this is the case... Might as well just invest in something else until 2024 lol. Can you see it going higher just due to hype or contracts or something like that? Your breakdown is great of what it does!
I still remain doubt about PLTR can be succeed. For me, it has high risk to fail, not because of google's competition, but the complexity and feasibility of such project to be built and widely adopted. I am pretty sure that it will not replace CRM system due to the super high cost of migration and all business logic embedded in the system. In the past, people have tried different approach to uniform the data, such as corba protocol, xml data, semantic web, etc, they are failed due to there is not practical to build one size fit all solutions. I still fee the current ecosystem are good enough (although not perfect, and that is the reason we have so many software jobs today). My answer is that it is not the time to bet big on PLTR since it is too early to judge. BTW, Your video is much better than 99% of other RUclipsr which are fool to sell PLTR to other.
This is not financial advice. I'm an idiot. That said...advancement in tech is totally non-linear. It's like building a high-rise building in some ways. In the first year of construction, you actually build down not up. IBM's vision for the quantum cloud is totally amazing, and the challenges of delivering it may be insurmountable, or maybe not. They also have the best NLP researchers on the planet IMO. Their advancements in named entity extraction have solved large problems related to labeling data for NLP research. Watson is no joke. And they are totally reimagining ERP/CRM with PLTR products driving a big part of the new platform. On top of that, they have perhaps the best-managed blockchain solution and are funneling their enterprise customers onto their cloud in droves. So when IBM starts returning on all these investments I'm betting it happens fast and in a non-linear fashion. You might be right, but it will likely take 10 years to know the asnwer. In the meantime I'm betting on big blue, she's got a hell of a track record.
![Noob To Max With DRAGON REWORK In Blox Fruits [FULL MOVIE]](http://i.ytimg.com/vi/LnBMOinoOvA/mqdefault.jpg)
Dude, we‘re gonna need more videos. This was fascinating
somebody get this man a license for aws erp and ibm cloudpak right?
Pls, make more educational videos about Palantir. We really love how you break Palantir down and we easily understand it.
20k+ members of r/PLTR are rooting for you to explain Palantir like we're 5-year-olds because we retards. You have my sub!
This is going to go down in history as the beginning of it all.
Just like others, came here from Beyond's shoutout. Loved the content, liked and subscribed. Can't wait for new videos. Amazing job explaining PLTR 's operation. I don't believe any RUclipsr has been able to.
thank you sir. this is the best video on palantir on youtube. you are underrated sir
Thanks a lot for this AMAZING educating material piece!! This's the VERY FIRST time that I heard anybody talking about PLTR in such technical depth perspective. The business consortium and big data os concept are mind-blowing. Hats off!
BoM sent me. Best explanation of PLTR I've heard so far. You have a great video here, well done.
98% right over my head but thanks for putting this together. It was illuminating
They're giving massive amounts of stock-based compensation. I think that's a sign they're motivated to keep their best staff happy.
They have always had the best and attracted the best in the coding business.
Awesome in depth video. What I figured out with this video is what everyone is missing on understand Palantir is understanding the industry where Palantir is in.
Thank you for this very detailed explanation of Palantir. I like in particular, that through your expertise you actually can name the challenges and risks involved. So thanks for sharing this information with us.
The architecture diagrams were pretty straightforward for anyone with an average understanding of aws and ml and were easy enough to be explained to the layman without much difficulty
Best channel on YT. I learn so much so quickly. You make the content relatable even though it is so far removed from my life as a simple small business salesforce architect/admin and finance manager. You help me understand a little bit more about how much I don't know. Thank you! Also long PLTR but come your channel as much for the education.
Thank you!
3 years later amd this company is performing really well
Here from the shout out on Beyond our money. Great video.
Look forward to your work on this channel. Great job with this video!
I can listen to you talk about this stuff all day. This video was posted a year ago. Fast forward to your interview with palanTrillion, and you were spot on with your analysis of the company. Looking forward to viewing your channels content…$13 seems to be a reasonable entry point. 🤑
You've scratched my itch regarding PLTR. All in.
Hi CodeStrap - first off, thank you so much for all that you do for our Palantir Community! It’s amazing people like you who really keep the momentum and conviction strong within our retail investor community.
I had a question in regards to the models that Palantir trains - you alluded to this idea through the technical concept of transfer learning. Can you talk a little bit more about this and explain the concept here?
My understanding is that the ontologies / models that Palantir builds for each client, only benefits that specific customer. Why would an outside irrelevant dataset model help another client with a completely different set of ontology / rules and guidelines for their datasets? In addition, in a recent Guardian article “seeing stones: pandemic reveals Palantir's troubling reach in Europe ” - it states that “Palantir does not use its customers’ data to build, deploy, transfer, resell, or repurpose machine learning or artificial intelligence models or ‘algorithms’ to other customers” - doesn’t this also deny the hypothesis that Palantir’s transfer learning from powerful data sets (e.g., the U.S. army) is an X-Factor to their product? Thanks again for your time! - B
Hey there! I had the huge reply and it got totally wiped out by accident. So here is the shortened version. Transfer learning requires the base model data sets are massive and not highly correlated to the target models' data set. They solve lower-level problems (for example named entity extraction) which require way more data than say a model meant to do key-value pair extraction of an invoice. You can find examples with a quick google search. For example, AWS platform services like Forecast and Rekognition use massive unrelated data sets to train platform models that then get applied against a customer's domain. The second part of your question relates to PLTR's internal policy on the use of customer data in repurposing models. I don't need customer data to repurpose a model. I need the tools I used for feature engineering to produce the base model. 90% of the work in creating the model is preparing the data and doing feature engineering. So I could easily not violate that policy and still produce ready-made base models for my customers. Even straight reuse of the produced base model might not violate that policy. Companies that offer both services and solutions often have large contracts that not so clearly define who owns what in the stack. If the company is unique (ie there not 10 more just like them), they are usually heavily in favor of the vendor. There are often numerous clauses that detail exemptions, etc. So to really know the answer to these questions, I would need to see an actual master service agreement and be able to ask some questions. If it's as black and white as the quote makes it out to be (not likely), I'll be buying more Google. But ask yourself, if you were building an ML/AI platform would you kneecap yourself when you could deliver data privacy protections for your customers and still reuse the most valuable portion of the IP?
MORE PLEASE. I invested in Palantir early knowing it was big but didn't know what it was. This is the first video that laid it out. Thanks. What does it mean ERP and CRM is dead. Which companies will it hurt. Who is on the leading edge of the new wave. Where is it going? Who leads in the blockchain programing. So many questions. Thanks again.
The ERP and CRM space is largely this Frankenstein monster of plugins with terrible user experience. It's really human-centric. Companies like Microsoft/Oracle/SAP/Infor have been trying to make inroads into ML and data lake formation, but they have all failed IMO. All the innovation is coming from Apache org which is largely supported by the work of Facebook, Google, Amazon, etc. Databricks and Snowflake are two major innovators as well. The new enterprise won't be using SAP's crappy UI to empower employees who are using domain knowledge as a way to subsidize their poor performance and unwillingness to learn and innovate. The new ERP/CRM will be centered around the data lake with, as PLTR puts it, an actions layer that will be codified on the blockchain with human assist. The sale funnel for example won't need a person to research the lead and hand it off to the pit for a cold call, etc. Models will analyze all the data points attached to the lead, automatically enrich it, execute a contract on blockchain that triggers a call bot to do the follow-up. Google has already pulled this off in a POC phase. So that's one example of how the sales funnel will change in ways that disrupt existing CRM solutions.
appreciate the part you're talking about the challenges ahead of pltr.
Great job on the presentation and delivery. Also, it was good to hear the perspective of from a subject matter expert. We often have to make due with either Wall Street, professional analyst's, or other retail investors like ourselves analysis of Palantir. This was kind of like Sandy Munro breaking down a Tesla first hand with expert analysis and feedback.
Great video! Thank you for sharing, super easy to understand, I'm looking forward to more.
great video, excellent content! thanks! I feel the exact same way about Palantir when I was doing research about Palantir. I thought Palantir was putting graph database concept into software, now you say Google is Palantir's biggest competitor which makes perfect sense!
Great Video. This is the best explanation on youtube by far in regards to what Pltr can rlly bring to the table in a software world. Thanks man
Came here from "Beyond our Money." Thank you for such an enlightening video. After researching Palantir for about a month, your video was the most detailed explanation and best comparison to other tech. You mention how Google is a strong competitor and could possibly crush Palantir. Not asking for investment advice, but would you be willing to share your percentage of Google ownership verse Palantir? Just curious if it's 50-50 or highly weighted in one direction. Thank you for providing such a great video.
50% Google 25% PLTR 25% IBM. My PLTR position is growing with the price dips (it was over-bought above 20 IMO). IBM has been a major contributor to natural language processing which is especially important in unstructured data. IE emails, documents, etc. I actually had to research the work their labs team did as part of an invoice automation system I was building. The fact IBM is selling PLTR is a win-win in the short term. As I've been saying watch for IBM to make a squeeze on PLTR. IBM CEO is on a mission to reinvent the enterprise cloud. So don't forget about IBM. It's on sale too.
@@codestrap8031 Thank you for your wonderful reply. There are some that say Palantir has built a moat for which others cannot catch up for a long time or without spending millions/billions to get there. Can you let us know your thoughts on that? I greatly appreciate you sharing the 50-25-25 Google, IBM, Palantir approximate holdings. It appears both Google and IBM have 50-65% institutional ownership and for many reasons are likely to be much slower movers of price as compared to Palantir. Personally, I'm looking for a stock that can 4-6x (or more) in 5-7 years. With a higher potential return comes higher risk, but do you believe either Google or IBM has a similar potential to increase as dramatically as Palantir? Very much appreciate your time and thoughts!
Apache spark is the open source version of the databricks platform. Spark was created as a research project by the founders of Databricks. I love the databricks platform. Its a huge improvement over vanilla spark and has AWS infrastructure as code to get up and running fast. I will be investing in them at the right price when they go public. Spark is the number one tool we use for feature angineering, ETL processing, and most important data streaming. And yes, Google is going to the moon. Its just getting started. Google is the number one and number three (class a and c) stock held by big investors. The knowledge graph is a juggernaut that will power the world's most advanced AI one day. Its not even close. Other companies like PLTR give companies control over their data. That is why I keep focusing on the ERP space for PLTR and IBM. PLTR has the unique advantage of having access to perhaps the one data set better than Google's. Those three letter agencies. Companies that compete with Google, and value secrecy won't be building on top of their platform either. I also am buying the companies that are early adopters of PLTR including BP. I truly believe that the advantages these companies gain in the next 5 years will be insurmountable for thier competitors. There are at least two Harvard School of Business studies highliting the advantages of companies that implement successful AI initiatives. You can't just turn on a platform like PLTR and have it deliver max values all at once. Data sets have to be governed, models have to be trained on your domain, worflows and organizations need to change. This takes time. So if Coke tells PLTR to take a hike without a viable replacement but Pepsi goes deep with PLTR, I will buy Pepsi. Its just an analogy, but I believe Coke told PLTR to take a hike.
The moat is massive IMO. If we rewind to the PayPal era they were solving problems using human assisted ML before anyone was even thinking about this. They did it out of necessity, bit if you look at the team, they are all geniuses level engineers. Could anyone else have pulled that off at that time? I think had it been any other team PayPal would have gone under due to their inability to stop fraud. Couple that with a decade of production deployments of the most advanced ML based systems ever deployed in the most stressful environments I would say yeah, their moat is fing big. Not insurmountable, but big. But I am not the expert here. I have yet to get my hands on this system. The people who use this system can't or won't really talk about it. So just make sure to stay on top of the information as it leaks out.
Watched this yesterday morning and had to circle back through. That good 👍
Thank you!
Its really someone like you that will utilize palantir to change a business an industry or the world. Thats how valuable palantir is
Your videos are incredibly informative! While there’s an obvious focus on PLTR, the general IT knowledge you present is excellent for those who don’t “live” In that world. I’m going back and watching or re-watching everyone of your videos. Thanks for sharing your hard work on all of these topics.
Beautiful and fascinating video!!
Thank you!!
Please release your upcoming videos ASAP!
Thanks for the video, very informative. I've seen your video with Amit and the gangs, the way you describe things from a s/w perspective to a someone external just got me connected right away, especially with decentralisation and the blockchain. I'm working with a lot of data, using Tableau mainly, and it seems like being without a s/w background there's no way I could get myself into Palantir. But I'm a firm PLTR believer since day 1 and going to continue to learn bit by bit and plan to watch all of your vids. This marks the start of my journey learning from you. Hello, world!
Great video. This is exactly what I needed being a neophyte, but I knew intuitively PLTR was a company I wanted to invest into when it went public. I own Google too.
I just subscribed... Awesome explanation... I already own PLTR and reciently sold GOOG because I thought they were not keeping up. Wrong... I will reinstate my GOOG position... Thank you...
Great video. Here as well from Beyond Our Money channel.
Your insight is amazing. If you make more videos, I’m watching ...
I have no doubts that palantir stock will double this year! Just added 80 shares, here for the long!
This is an amazing video.. going to be my third time watching it! As a front-end developer and a fan of react, I'm very excited about blueprint.js!
Brainly is coming out with a CLI tool for React. I'm part of the project. Will be announced on the channel when it's released. I've been developing it for 6 months with my team. It including code generation for components, modules, routes, and more. It's based heavily on the Angular CLI and even uses Angular Schematics under the hood to support customization.
Thank you for your contribution on palantir. Not gonna lie, you spooked me with the google killing palantir part, lol. I`m nowhere near your intelligence level so thank you for being able to explain things better for us all.
Here because of beyond money this is a great DD thanks.
Great video man! Fluent explanation of their business.
A BIG THANK YOU!! I Think, I have little idea about what palantir is as a investment.
Great quality video. Subbed. I have no background in computer science but found much of what you talked about accessable. I've been buying PLTR since the DPO, mostly based on Thiels involvement, still trying to get a better understanding of the company and competition. Thank you!
Great analysis simplified for a common man. I see you have reservations against ERP, but in light of yesterday's announcement for Amazon AWS to implement Palantir ERS suite, what is your feeling on that, as well as IBM partnership? Strange how much a month brings about so many changes.
Great explanation! Would love to hear your thoughts on HOLO
Hello first time caller and listener. At around 14:50 you are talking about how they are a Business Solutions atm over having a SaaS platform. So two questions
1) what did you think about their presentation around 2 weeks back and how it affects how you understand the company.
2) What did you think about their ERP suite on AWS in regards to the statements you made at the time mark?
also Would like to state for context, im in my last year of Software Engineering and have 280 shares of PLTR rn. have a bit of AI background through internships and research and their IP sounds unbelievable
The presentation definitely changed my perspective on Gotham. After the demo its pretty clear Gotham and Foundry are the same platform with different customer bases. I read this in several articles leading up to the demo as well. But their website at the time I was doing research wasn't really clear on the separation. They've since launched a much cleaner investor relations site and I think their public site has gotten a refresh as well. So its clear now. If you are in engineering checkout Amazon's quickstart guides. These are essentially run books that will spin up reference architectures for leading solutions providers. New Relic is a good example. I suspect this is the actual substantive deliverable. So I was like this is huuuge. They are solving the solutions problem while expanding thier TAM. They still need developer tools and channel partners in my opinion. Bit it was like a quantum leap is such a short amount of time. And on top of the IBM deal. I was also pissed they did not announce this in the demo. They downplayed commercial so much I thought they were leaving it on the table. I need to get my hands on this software. They are so secretive about this stack! My guess is they don't want people to know how much integration work goes into onboarding. Getting all that data from ERP and other unstructured sources is a total pain. There's no easy way to do it. Once I can actually use and develop on the platform I'll have to release another follow up video. One reason I wanted to post this video before the demo was to see how well I was speculating based on the information at hand. Seems like I'm tracking for the most part, but I have major question about the data lake formation and data streaming, especially unstructured and semi structured data sources. My belief is they ingest from just about anything. Spark or Kafka streams, RDS, event sources, email, OCR etc. But that's a pretty big assumption I need to validate. The other is the quality of the models. Anyway ill be live steaming on Beyond Our Money Saturday. Hope you can join us. Will be good to have other engineers on the stream.
@@codestrap8031 so i just realized what you meant by Beyond our money haha, didnt know it was another youtuber. I will definitely watch the livestream record tomorrow and get back to you, sorry I didn't attend
Loved your opinions on Tesla haha, The master algorithm,AI generalization, is definitely 30+ years away! Bought more palantir today, what did you think of the IBM video? I loved it
@@hipstergod thanks! Loved the IBM video. Pretty much confirmed exactly what I expected to see.
Can you comment on IBM and AWS partnership?
Yoo, Why does this only have 7k views lol.. Great vid man
Once PLTR take hold it will be and integral part of every business there is.It will be the water and air of business.
Hey, just came across your video. Thank you for sharing this, truly amazing content and DD!
I just thought of something that kinda worried me and maybe you can give me your thoughts/ opinion. My brother-in-law worked for Google and was one of their first employees. With his stock options it made him very wealthy by age 35. He retired a year or two later after vesting. I do realize Google obviously didn’t miss him because that was 15 years ago, but I’m still a little worried about a brain drain at Palantir.
Its more of a concern with Angel investors IMO. I know a few people at Google who are not there for the money. They are there to advance the field. Dont stress. I think they still employ more phds than anyone.
Thank you for the perspective 🙏
please make more videos man! thank you for your effort
Thanks codestrap great insight and I like you are bullish on pltr but also highlight the risk
Man, this presentation could be used to help empower Palantir's salesforce! You should contract out to them!
this aged well
Awesome video !
Can’t wait to see further content from you.
When I used to work in manufacturing we called SAP Systems Against People 🤣
Just because I want to get to the bottom of it, What I've seen from their Demo day and from your presentation is that they've solved deployment at scale, have solid build management, solid approach for security, which is critical for Lifecycle management. Edge & signal, supply chain visibility, automated/assisted decision making, based on machine learning and AI - this is great. However I have not seen a lick of classic ERP functionality. That's why I don't buy that the likes of SAP and Oracle are going to disappear because of this announcement. How I see it, is that Palantir has announced that they can host the infrastructure for ML/AI on AWS, and it can connect to classic/legacy ERPs. They already can connect to SAP, and it looks like teaming up with IBM so that they can provide insights from these ERP systems.
Its my opinion that ERP systems currently are the gatekeepers of the data. For example, Infor has a data lake product to enable AI based initiatives. What feeds the data lake? Plug-ins that for example do invoice processing using OCR stacks. Is the data lake offering any good or otherwise differentiated from AWS S3 and Glue data catalog.No. Then there is the problem with the plug-ins themselves and the workflows they enable. Why do I need Alice and Bob slowing down my AP drawing boxes on OCR templates and checking workflow boxes when I can say "hey PLTR, pay all my valid invoices per the terms if deemed valid". The ERP system is just a gateway for the data in a human centric system where machines are still at the edges. Do machines need a UI to perform workflow? Do we need Jane in finance performing authorization when all the contract and regulatory requirements are codified in digital contracts? No we need Jane in finance running simulations for fraud detection against the entire payments data stream using PLTR. And Jane might need an Algebra 2 and stats refresher to be trained on how to tune the model. The 0 to 1 move here is the role the models play. Currently, to my knowledge, AI in ERP is just window dressing and buzz words. PLTR appears to deliver where all these other vendors have failed.
@@codestrap8031 I agree on current state of AI in ERP, you're spot on. And yes ERP is a complex data repository (that's why PLTR does all these ontologies). OCR for AP is just one of hundreds of use-cases, and there are better ways to do invoicing, like EDI or the smart-contract blockchain-based approach. However all my research indicates that PLTR does not provide classic ERP functionality, they outrun ERP vendors on smarts data processing
and simulation
@@EugeneShamshurin I think we agree, which is why I said ERP is dead. I think we just reached a separate conclusion on what having a digital simulation of an organization combined with blockchain technology means for existing ERP systems, and more importantly the workflows (and marginal producers) they empower. It's my belief they are a lot like those people in that photo on the arctic ice, dead but they just don't know it yet. Seriously though great comments. Tune in Saturday on Beyond our Money. I'll be on there and you can chat in real-time with us.
@@EugeneShamshurin hey I just want to follow up on this because the new PLTR site has this one quote I think says it all: "Break out of inflexible software and connect your crucial business functions - making use of existing investments while removing the blocker of system migrations." I read that as forget that old crappy ERP suite you are stuck using. We'll take the limited value those systems have (the data) and roll it into our system. This is a form of a strangler pattern (I use this pattern a lot in LAMP stack migrations). This is a way of phasing out legacy systems.
Since this video, Palantir partnered with IBM, one of their competitors. How do you feel about this move?
I have mixed emotions. The question with things like this is if both parties will benefit. I own IBM too, so some part of my portfolio should see an upside here. Ultimately I think it expanded PLTRs TAM. I also love Fabric on IBM cloud. Its a better blockchain platform than AWS managed blockchain. IBM is really focused on bringing ML based solutions to enterpeises. They very well could reap the vast majority of the revenues. If PLTR becomes sales bait for their cloud and enterprise solutions watch out for an acquisition.
@@codestrap8031 Much appreciation my guy, hey if you can start doing stock videos specifically in tech stocks , I would be an avid listener. Thanks
I'll post some more for sure. I'd rather participate in live streams on other channels though. I actually created this channel to promote careers in software engineering. Specifically software apprenticeships. I maintain an open source project that details apprenticeship opportunities and study guides. I want the channel to be holistic though and include how to invest in technology for even more prosperity.
Fantastic video. So much better than their corporate schtick of "our stuff is great, trust us ... whoa look at my hair!"
Cosmo Karp
Can’t wait for you analysis of IBM!!
i feel so stupid!!!!!! Thanks for you videos though, it helps me understand palantir a bit more.
going to put my comments here for the beyond money video to give you more traffic. I see in the wild so many legacy systems running on old unix backends like sales systems (think auto parts franchises), banks (bank officer usually has a ton of tabs open checking your info in different systems). One of the features the way I understand it is Palantir is able to connect to a these kinds of systems, bring the data into the data set on the fly. Recently they mentioned the ability to write back to these systems was rolled out to customers. If this is a unique feature I would imagine it is a huge competitive edge where you don't have to retrain employees immediately while the "strangle" occurs. the auto parts worker just keeps doing his thing as always but if an analyst or some ml/ai for example working higher up in the org makes a connection between 2 records lets say John Doe and Johnny Doe have the same phone number registered in 2 different systems the software will go back to the source of 1 of those truths and be able to modify the entry in the legacy database updating it while maintaining authorization authentication and auditing. Im sure this is also huge in the "strangle" likely happening in the govmt over the last number of years as Palantir displaces sensitive legacy systems. Am I understanding this competitive advantage?? Nobody ever seems to point it out meanwhile Palantir themselves have mentioned it in at least 2 of their presentations since ipo. thoughts?
I haven't seen those demos. I have worked on similar problems that relate to data lakes. For example, we may have a user supplied property address in our raw data lake that was dumped from a mobile web application database. However the property address or business category may be wrong. We discover its wrong by merging the data with our "master" address and property data set using some custom algorithm and tools like Spark. We then join the result with the original data in the same row, score it, and push it to a curated set. All this is automated and run as part of data streams or ETL jobs. Everything downstream depends on the curated set. The way we've built these systems the operation is idempotent, meaning the same garbage input will generate the same output. So we haven't cared about repairing source data in the external systems. But if users of those systems want to see the updated value tou now have to perform a distributed transaction. Its debatable if this preserves system correctness in all cases though and you can find yourself quickly in distributed transaction hell. If they are doing this thats a cool feature.
@@codestrap8031 if you use beyond moneys demo day youtube around the 16 minute mark they talk about writing the data back to the source. ill look for the video from pre dpo where they explained this was a feature being deployed by fde for a client that was going to be rolled out to other clients (and ultimately was with foundry/gotham21(titan).
They have an erp for amazon now. Can you do an update on that?
Hey Sean! I'll be doing a live stream with Beyond our Money Saturday. We'll be going into this topic at length. Check out his channel and tune in.
@@codestrap8031 thanks what time/time zone will the live stream be at?
@@seanhardman1964 8 AM PST on Beyond our Money's channel.
Subscribed ! Can i request another video just to understand some of the terms that palantir and you used ? For ex - ontology , signals , etc ? I mean not even sure what that means.
See his previous videos.
Just one question, if ARM chip is so powerful, do we still need AMD or Intel?
Amd and intel are also making their own arm chip
Codestrap, are u using their software?
I'm hitting the "like" button before I even start this video, I know it will be that good. ;)
Great video, man! Please make a video about good AI investment opportunities.
I have a question @CodeStrap... When you say Google can "crush" Palantir if they develop the means and decide to implement it, does that mean Palantir will essentially become worthless in the entire commercial sector? In other words, is it impossible for them to co-exist in some what such as DocuSign and Adobe E-Signatures??
Great question! Its hard to say right now. I know if Google finds a way to offer superior AI at a fraction of the cost they are probably out of the small to mid market customers who use say GSuite level services. But as well all know SAP is still going strong even though there is Salesforce. The knock on SAP back in the day was its expesive and hard to install and maintain. So they evolved and have a bigger market-cap today than Salesforce. We dont yet know what is going to happen when a company has a clearly superior AI alternative for business yet. Its playing out right in front of us. Today 3m announce AI powered clinician and revenue cycle tech that I assume is largely enabled by PLTR. If Google a year from now announces a superior AI that enables 3M competitors with a clear market advantage, can 3M afford to use PLTR? The AI wars when they materialize will be like nothing any of us have seen before. This "winner take most" buz phrase really means superior AI that enables business automation and human augmentation. I do believe that is a zero sum game, and I think people like Alex Karp feel the same. That's what he means when he says we as a country can't afford to lose the AI battle. Let that sink in for a moment. Its a zero sum game when the dust settles IMO. But the time horizon is a total unknown at this point.
@@codestrap8031 Thank you for the answer, this is in fact slightly scary in a sense... I didn't look at the AI situation in this light. In a sense, all these videos claiming that PLTR has no competition are completely false... A company like Google has access to some of the largest amounts of information... PLTR does enjoy the fact that it was purely created upon doing this and focuses solely on it. It does open my eyes to the risks, thanks.
@@codestrap8031 I did have a thought about this, though. How sure are you that managing datasets is a zero sum game? This all goes very deep because imagine hacking. Look at what these hackers have done to microsoft recently. Say PLTR or China develops the best AI couldn't it be hacked? You seem much more knowledgeable about all of this but it seems hard to believe that there couldn't be somewhat of tiers of AI that different companies could provide to different types of businesses... As much as you say google can do it, in your honest opinion, doesn't pltr seem to have spent more time with more geniuses focusing specifically on doing this? If AWS and IBM already basically threw in the towel why are you so sure google isn't the same? Google engineers may have been quite focused on advertisement in recent years while pltr was still a private company developing their product. This is why karp seems so confident that they don't have much competition? I find it surprising if karp is telling a bold face lie when it comes to that... Just my thoughts
is it on SkyNet level?
Best comment! Where are the Karp terminator memes.
I understand English, but just don't have the knowledge of data and technology. Thank you so much anyway!
Amazing video. Looking forward to your new content. Would love to know what you think of the decentralized cloud network FIL and how it could compete w AWS, Google. Thank you.
Hey Joel! I have not used FIL, so I'll give you my thoughts on decentralization and web 3.0 generally. I have been heavily exploring decentralization and found several projects that are really cool. Kings Distributed Systems and Vendia are two that I am involved in. The problem with web 3.0 (distributed clouds I believe are a subset of that problem) is the distributed systems problems they are trying to solve border on the impossible, at least at the commercial scale. And none of them have a truly complete cloud platform (to my knowledge) with all the tools you would expect (highly available, durable storage, distributed databases, messaging, compute, etc). Also, some of the underlying problems decentralized applications are trying to solve could be conquered more easily by applying common carrier laws to cloud providers. KDS and Vendia are agnostic to this, where other projects' primary reason for being is to avoid say censorship. It's possible distributed clouds could one-day rival Amazon, but if you want to really get a sense of the time horizon consider AWS lays its own oceanic cables, is now one of the largest manufacturers of switches in the world, makes its own chipsets, and has enough platform tools to make the largest word salad jealous. I hope the future is a world where the fears decentralization is meant to solve are less relevant than they are today.
@@codestrap8031 Wow, thank you so much for this response. I'll look into KDS and Vendia. Looking forward to your next videos!
IBM and AWS are now partners.
Every CRM and ERP ive encountered have pissed off technical staff and business staff alike
Great presentation mate! Sub earned.
came here from beyond meat... sorry no is beyond our money
What about MSFT? I'd be more worried about them. Google is notoriously bad at selling to businesses. Also it's widely known that Google keeps killing their own products - they are a low trust business partner, maybe acceptable for B2C "for free" products but a no-go for B2B.
I agree. I've been calling them a sleeper mainly because people are overlooking them. I subscribe to Microsoft Research and they've been doing amazing work. Checkout my interview with Sachin and Amit, we div into this.
@@codestrap8031 Thanks for pointer - where to find this interview? Couldn't find easily on YT
@@Martinit0 ruclips.net/video/Yt_TDsgb5AY/видео.html
Absolutely brilliant video, and I really hope you can do further collaborations with Beyond Our Money -
Did you have any thoughts on how Palantir compares to its peers in its readiness to take on government + military contracts? Media reports in the past have tended to say that the likes of Google and Microsoft are not able to take on every single project out there due to ethical/moral reasons or whatever. Do you see this as a strong building block for Palantir in a sense, with Google and the others posing possible strong competition for them on everything else?
My level of expertise in this area is basically none. I have to track the certifications that AWS has in each region to deploy infrastructure for my clients. So I know that AWS has achieved the most FeRamp certifications to my knowledge. But PLTR is looking to get into that beyond classified space which doesn't have a cloud equivalent to my knowledge. Also, the way PLTR is positioning itself in the Government space is to offer software on any infrastructure. So they essentially bypass a lot of the regulatory hurdles by deploying on existing approved networks. They still have to pass compliance audits for their software though. Again, this is not my core area of competence. I can say just getting the security clearance for your personnel to step foot in some of these buildings can take months if not years. Other defence contractors appear to have benefited from that.
@@codestrap8031 thanks for the info - very interesting. And thanks again for the video, it's the best one i have seen so far on Palantir, actually i would really value your commentary on any further demos they do - maybe this is something you could do on the Beyond Our Money channel?
Appreciate the video 👍🏽
Subbed for more PLTR info
Hey bro can i share this video on a fb group?
Sure
CodeStrap - Would you be willing to provide a quick reply or video on current thoughts. I'm guessing you're just chilling out like all of us (maybe not adding to...maybe not selling), but it would be great to see if your thoughts on PLTR have changed over the last few weeks. I know you're just a guy on RUclips and not a financial advisor. Thanks much and hope life is great!
Thanks, Jason! Nothing has changed in my book. I've been buying and continue to buy. If anything I continue to get confirmation on predictions and expectations. Seeing how IBM is using PLTR really confirmed for me their ability to act as a big data OS that powers ML initiatives. I fully expect the Double Click event to confirm much the same. I still see Google as their biggest competitor. I have a new video coming out which dives into data privacy, IA (intelligence augmentation) vs AI, and the effects of primitive AI (which we mistakenly label as social media) on society. I also dive into how PLTR is the only innovator in the IA space. The IA vs AI battle could have some pretty massive political, economic, and social implications. It's also at the center of the push for decentralization and blockchain adoption. For example, primitive AI is already being used by the CCP to deliver always-on surveillance and citizen scores. Imagine for a moment a society where the government compels you to use AI (which they call social media), with a lack of "engagement" resulting in imprisonment and forced reeducation. This isn't fantasy, and companies like Google are helping the CCP make that world a reality. This is what Alex Karp meant when he described the "totally dystopian conversations" that are happening in the valley. So stay tuned. This next video is one you do not want to miss.
@@codestrap8031 Thank you as you're always so kind with your time and explanations. Can't wait for the video!
Cathie Wood sold all her positions in PLTR.
Thanks for dd
good stuff
I keep reading about what a head start PLTR has over their competitors but there's nothing to prevent Microsoft, Snowflake or SAP from copying feature for feature. So what's the real secret sauce for PLTR?
This is a great question! If you haven't worked in engineering, specifically in AI/ML space, it's really hard to verbalize. I'll try though. I think it really comes down to the people. Who are your SMEs, and how many of them do you have. What is the novel way you are solving the problems everyone else is also trying to solve. What most of us are finding is that platform tools alone won't crack the AI nut. PLTR has spent the last two decades building a software company around a combination (keyword) of services and platform tools to allow organizations to take advantage of AI. They also have a secret, and that secret is AI by itself is fools gold. Based on my experience in this space I agree. Their unique insight has bled into every level of the organization including how they leverage their forward-deployed engineers, how they organize and maintain their codebase, how they build ontologies, and a lot more. This process of many small innovations creating a very large moat has an industry term attached to it. I forget the term though. Also, the position in the government space is unparalleled. That is not something anyone can do regardless of how much money they have. It takes time and the cooperation of many government agencies that don't like to cooperate with each other. Anyway, it's my opinion that their moat is huge.
@@codestrap8031 Not being a technie I can't say I completely understand your answer but I appreciate the reply. I do agree given Palantir's DNA coming from the CIA it's hard to see them not having advantages that can easily measured especially by Wall Street. Having such a moat is what people like Warren Buffett emphasize all the time.
Do you think Karp is the right person to take PLTR to the next level given the fact he doesn't have a technical background? I know Steve Jobs ran Apple very successfully not being a true techie either but don't you think what Palantir is doing with AI, all the complex data sets and with quantum computing down the road is far more complex than making an iPhone?
@@ginsengroot815 I've been highly critical of Karp. I feel he's not a good frontman. I mean, he is literally telling short-term investors we don't want your money. He's brilliant but alienates a lot of people because he knows he's right and doesn't pull his punches. Watch that interview from the other day and you'll see exactly what I mean. Having a formal CS or engineering background is pretty meaningless except in the more academic areas within a software company such as AI research and low-level system design. Jobs dropped out of college I believe. I'm a self-taught engineer who is now a CSO. Karp has been running one of the most advanced software companies on earth for nearly two decades. I'm guessing he's smart enough to probably teach at many CS programs by now. I think the company is going to struggle in the short term (maybe even the long term) under Karp as the public generally takes what he's saying as somewhat confrontational. That doesn't change the fact he's generally right about almost everything and is probably the most brilliant person in the room at PLTR.
Instruction unclear, invested life savings into Palantir stocks
Make more videos!
I'll be doing a live stream on Beyond our Money Saturday. Tune in. We are going to break down all things PLTR and whatever else we wander into. Tesla? Google? The future of EV? It's all on the table.
@@codestrap8031 Sounds awesome, I’ll definitely tune in. In your opinion, how much of an issue is the process of transferring or migrating data; is it a hurtle that would deter customer acquisition, at least in the short term?
And if they aren’t able to scale quickly, how much of a challenger do you think Google is to Palantirs potential growth and monopolistic moat? Not to mention Google has a ton of money to scale at a faster rate.
Or do you think they’ve gained enough of an advantage with their work and book of business with the government and law enforcement? Do you see anyone as a competitor to Palantir in the government sector?
Regarding the Google threat, could you make that argument against pretty much most tech companies. If Google really wanted to get in, they would have a huge data advantage and talent advantage.
Update: Google is in. Checkout Vertex AI from GCP. It's a Foundry competitor as is AWS SageMaker Studio. Google is also destroying PLTR in the AI research space, along with everyone else. IMO advanced AI will eventually be a commodity that gets rolled into the big data OS (Foundry, Vertex, etc). So it's not the end of the world if Google dominates in the AI space. The big data OS that allows you to govern your data and AI usage is the really the future backbone of organizations.
@@codestrap8031 plans to make more videos??
Someone linked me this video on Twitter, where do you see the stock price heading in the next 5-10 years? Are you a shareholder? $PLTR
I'm a share holder. 2025 I see them pushing above 30 broader market permitting. The inflection point for me is 2025 though. This is when their customers who adopt now will dominate their respective markets. I also think they will be able to scale the mid market at this time. Basically they will be printing money like Microsoft when they took over. But keep in mind we are speculating here. Daniel Kahneman has the best perspective under his chapters "Illusions od Success". If you play the game you know whay im talking about. No crystal here just some good luck and some good cards.
@@codestrap8031 you think it will only increase by $8/share by 2025?
Taking into account, as the great CW puts it, a valuation reset yes. Don't forget PLTR lost what, a billion and change in 2020? Assuming the markets correct and they grow at at least the rate projected that would be a fair speculative valuation assuming at least four billion in revenue materializes. I do expect 2025 to be the inflection point though. Its hard to know how much money they will be printing over the subsequent five years, but I think it will be enough for the stock to start a rate of doubling on par with Tesla last year.
@@codestrap8031 They have also said they will be investing heavily in themselves to support growth so you may be right that it will basically trade sideways until approx. 2025
@@codestrap8031 If this is the case... Might as well just invest in something else until 2024 lol. Can you see it going higher just due to hype or contracts or something like that? Your breakdown is great of what it does!
Hmm.
I still remain doubt about PLTR can be succeed. For me, it has high risk to fail, not because of google's competition, but the complexity and feasibility of such project to be built and widely adopted. I am pretty sure that it will not replace CRM system due to the super high cost of migration and all business logic embedded in the system. In the past, people have tried different approach to uniform the data, such as corba protocol, xml data, semantic web, etc, they are failed due to there is not practical to build one size fit all solutions. I still fee the current ecosystem are good enough (although not perfect, and that is the reason we have so many software jobs today). My answer is that it is not the time to bet big on PLTR since it is too early to judge. BTW, Your video is much better than 99% of other RUclipsr which are fool to sell PLTR to other.
How much of a threat is google
they rich so you know the answer BIG
Google and Microsoft are the best company. IBM is not a good investment since it has no advanced comparing with these two.
This is not financial advice. I'm an idiot. That said...advancement in tech is totally non-linear. It's like building a high-rise building in some ways. In the first year of construction, you actually build down not up. IBM's vision for the quantum cloud is totally amazing, and the challenges of delivering it may be insurmountable, or maybe not. They also have the best NLP researchers on the planet IMO. Their advancements in named entity extraction have solved large problems related to labeling data for NLP research. Watson is no joke. And they are totally reimagining ERP/CRM with PLTR products driving a big part of the new platform. On top of that, they have perhaps the best-managed blockchain solution and are funneling their enterprise customers onto their cloud in droves. So when IBM starts returning on all these investments I'm betting it happens fast and in a non-linear fashion. You might be right, but it will likely take 10 years to know the asnwer. In the meantime I'm betting on big blue, she's got a hell of a track record.
WTF I’m blown away... Jim Cramer doesn’t know all of this 😂
As great as this company is, I know of other stocks that will 10x-40x in the next five years. I'll put my money elsewhere.
Palantir will 10x in 5 years