some of what I gleaned from the video, as I understand it: It sounds like PLTR is speeding up response times for certain areas (months to weeks), is adaptable (the same? program can be used for 40 different kinds of industries), and when it comes to data, they're able to bring it all together, have high response times, and still be able to keep things secure. Able to make like case files for an investigation, to see how it progressed and how the conclusion was made. Able to restrict permissions with who gets the initial case of data, as well as who is allowed to view/share it. The problem many people have is too much data, hard to handle. Or data from a ton of different sources, but they all speak "different languages" or the data is all formatted in a different way, based on however each company decided to format and store their own data. PLTR looks like they found a way to easily interface between different sources, and create a standardized format of some kind, so that even if you pull data from 1000 different sources, say, the person looking at the data from PLTR's program (Foundry?) can see it all (or, whatever data they have permission to see) and from the user's standpoint, it looks like the data is all uniform. This makes it easier to parse, review, graph, etc. By seeing all the data from a big picture standpoint, you can make better conclusions, solutions, see trends, etc. Particularly useful it seems for medical data, as medical data tends to be siloed (each hospital keeps their own records, but there is no one "go to" place to see all the hospital visits you made and the results from each lab/visit you went to. You have to instead call each place yourself, ask them to transfer records, maybe sign some papers because the data is sensitive health information. PLTR sounds like it works particularly well for that data bc it is secure and can easily connect many different sources of info. PLTR helped with covid distribution management, can be used to spot part degradation / trends. PLTR can get setup and provide value quickly and help catch bottlenecks, simulate future loads/ strain on the system, suggestions on how to improve supply chain to prevent future disruptions
I believe Shyam Sankar when he says that there is incredible demand in the US and they almost cannot keep up. Which means all their consultants are working at full clip. And this presentation was not for the Dogecoin or GME speculator.
Isn't that part of the problem with this company though is that it's less of a SaaS company and more of a consultancy firm which is much more difficult to scale and is much less profitable?
@@robrinder123 Not at all. SaaS providers like Salesforce or Snowflake can be used easily by small and medium sized businesses for a small monthly fee. Palantir's order book are mostly in the multimillion dollar range. So their market is different. So the consulting is needed due to the complexity. Its a strength as it differentiates them from a very crowded field in the SaaS space that is getting even more competitive. Look at their demo from about 10 years ago on the Afghanistan operations support. Its still quite impressive.
This isn’t a meme stock or designed to be entertaining or gain value on hype. This is the Lockheed or Boeing of our time for the data war like these aerospace companies were during the Cold War
Disappointed. If you hold PLTR stocks, don’t expect any exciting news. Plus most of you will not understand what they’re talking about.. including myself... Balabalahhhh for 30+ minutes.
@@brewton4 I am looking at it from the perspective of a bigger european company in the energy automation sector where we are exposed to theses use cases and for example those nice little sensors in the field would not be able to communicate with foundry. As described in the BDEW White Paper. Better?
![[1hr Talk] Intro to Large Language Models](http://i.ytimg.com/vi/zjkBMFhNj_g/mqdefault.jpg)
some of what I gleaned from the video, as I understand it:
It sounds like PLTR is speeding up response times for certain areas (months to weeks), is adaptable (the same? program can be used for 40 different kinds of industries), and when it comes to data, they're able to bring it all together, have high response times, and still be able to keep things secure. Able to make like case files for an investigation, to see how it progressed and how the conclusion was made. Able to restrict permissions with who gets the initial case of data, as well as who is allowed to view/share it. The problem many people have is too much data, hard to handle. Or data from a ton of different sources, but they all speak "different languages" or the data is all formatted in a different way, based on however each company decided to format and store their own data. PLTR looks like they found a way to easily interface between different sources, and create a standardized format of some kind, so that even if you pull data from 1000 different sources, say, the person looking at the data from PLTR's program (Foundry?) can see it all (or, whatever data they have permission to see) and from the user's standpoint, it looks like the data is all uniform. This makes it easier to parse, review, graph, etc. By seeing all the data from a big picture standpoint, you can make better conclusions, solutions, see trends, etc. Particularly useful it seems for medical data, as medical data tends to be siloed (each hospital keeps their own records, but there is no one "go to" place to see all the hospital visits you made and the results from each lab/visit you went to. You have to instead call each place yourself, ask them to transfer records, maybe sign some papers because the data is sensitive health information. PLTR sounds like it works particularly well for that data bc it is secure and can easily connect many different sources of info.
PLTR helped with covid distribution management, can be used to spot part degradation / trends. PLTR can get setup and provide value quickly and help catch bottlenecks, simulate future loads/ strain on the system, suggestions on how to improve supply chain to prevent future disruptions
Good way of putting it
I have to run this bey my friend Gary
He is the smartest computer guy I know
I believe Shyam Sankar when he says that there is incredible demand in the US and they almost cannot keep up. Which means all their consultants are working at full clip. And this presentation was not for the Dogecoin or GME speculator.
Isn't that part of the problem with this company though is that it's less of a SaaS company and more of a consultancy firm which is much more difficult to scale and is much less profitable?
@@robrinder123 Not at all. SaaS providers like Salesforce or Snowflake can be used easily by small and medium sized businesses for a small monthly fee. Palantir's order book are mostly in the multimillion dollar range. So their market is different. So the consulting is needed due to the complexity. Its a strength as it differentiates them from a very crowded field in the SaaS space that is getting even more competitive. Look at their demo from about 10 years ago on the Afghanistan operations support. Its still quite impressive.
@@wibarm Thanks - I appreciate your perseptive on this.
I will buy another 2K shares if it drops to close 20
So few viewers for a "hot stock"?
It’s not an official channel for palantir, this person was just nice enough to share.
I’m holding this stocks since November 2020 damn still sideways
Not very exciting, but the best company for a efficient future.
You guys picked a pretty bad day. Everyones eyes are on the Coinbase IPO and BTC. Besides that..youre bad a selling your story.
This isn’t a meme stock or designed to be entertaining or gain value on hype.
This is the Lockheed or Boeing of our time for the data war like these aerospace companies were during the Cold War
This Demo is so dry.
Disappointed. If you hold PLTR stocks, don’t expect any exciting news. Plus most of you will not understand what they’re talking about.. including myself... Balabalahhhh for 30+ minutes.
It is actually quite interesting, and not technical. Watch and enjoy.
This is a nice idea, but in my opinion it doesn't work in the real world.
That's helpful. Thanks.
It will
@@brewton4 I am looking at it from the perspective of a bigger european company in the energy automation sector where we are exposed to theses use cases and for example those nice little sensors in the field would not be able to communicate with foundry. As described in the BDEW White Paper.
Better?
Perhaps not with your sensors directly, but certainly with your imported data, no?