I am bery interest in PLTR. I will definitely add a few hundreds to my retirement account so I don't have to worry about the short term. The crypto industry has made me immune to the wild swings of great companies in the stock market. If 15% dip in PLTR is a buy signal to me.
i have been exposed to these kind of systems for many years now and I think the biggest challenge really is having the whole organization be 100% full on with mapping their data...and in bidirectional manner. you wouldn't believe how political these data sets are to some departments. im pretty sure they've nailed it down. might also be the reason why palantir, as part of their contract, can walk away if they feel they can't get value on the partnership.
Hi there, I work in the data & analytics space. The biggest challenge my business faces is multiple datasets that many relate to the same insight but there is no clear way of mapping the data as the original data sources use different ways to describe the same thing. Example town 1 dataset may say London 2nd may say Central Lon (Poor example but hopefully illustrates the point). How does Palantir help with matching? I have used something called fuzzy match, but the confidence intervals are quite low making the data output post the consolidation not that reliable. Any thoughts on this will be most welcome
I never really looked at Palantir technical offerings in any detail until now but as an engineer I kind of had an idea of what they are doing -- loading a lot of data and then building a schema on top of it in order to analyze it and make connections between disparate data sets. All I can say is it will be a long while until Wall St is able to pick any of this up as this is a super technical area which is incredibly difficult to understand for a layman person. With that said, it is laughable that your typical Wall St analyst still thinks that Palantir is an agency. This is a SAAS with an incredibly steep learning curve and likely a very complex on-boarding process as a result. But man, oh man, once you're locked into their data analytics pipeline you are not going anywhere because there is literally nobody doing anything like this.
So why if this is so good it’s been a pump and dump the last 6 Months it’s been over 15 years of business but haven’t been able to sustain it due to the shares compensation when the dpo started it
![I.N "HALLUCINATION" | [Stray Kids : SKZ-PLAYER]](http://i.ytimg.com/vi/n5B5q1Hwt_U/mqdefault.jpg)
Idc about short term price action but nice to see my position up 5% on the day this morning
I am bery interest in PLTR. I will definitely add a few hundreds to my retirement account so I don't have to worry about the short term.
The crypto industry has made me immune to the wild swings of great companies in the stock market. If 15% dip in PLTR is a buy signal to me.
PALANTIR TO THE MOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOON!!!!!!!!
That looks amazing. I am hyped.
You are doeing a great Job! Many thanks
Interesting stuff. Is the full video available anywhere? I would love to hear the full answer at 17:35 without the cuts.
i have been exposed to these kind of systems for many years now and I think the biggest challenge really is having the whole organization be 100% full on with mapping their data...and in bidirectional manner. you wouldn't believe how political these data sets are to some departments. im pretty sure they've nailed it down. might also be the reason why palantir, as part of their contract, can walk away if they feel they can't get value on the partnership.
Alex's hair must be all over the place today. As it should be
Hi there, I work in the data & analytics space. The biggest challenge my business faces is multiple datasets that many relate to the same insight but there is no clear way of mapping the data as the original data sources use different ways to describe the same thing. Example town 1 dataset may say London 2nd may say Central Lon (Poor example but hopefully illustrates the point). How does Palantir help with matching? I have used something called fuzzy match, but the confidence intervals are quite low making the data output post the consolidation not that reliable. Any thoughts on this will be most welcome
Great content. Recommend 👍🏻
I never really looked at Palantir technical offerings in any detail until now but as an engineer I kind of had an idea of what they are doing -- loading a lot of data and then building a schema on top of it in order to analyze it and make connections between disparate data sets. All I can say is it will be a long while until Wall St is able to pick any of this up as this is a super technical area which is incredibly difficult to understand for a layman person. With that said, it is laughable that your typical Wall St analyst still thinks that Palantir is an agency. This is a SAAS with an incredibly steep learning curve and likely a very complex on-boarding process as a result. But man, oh man, once you're locked into their data analytics pipeline you are not going anywhere because there is literally nobody doing anything like this.
#PLTR2030
This is very interesting. It seems very similar to what Salesforce does, no?
My new homage hair to Alex.
Palantir will win FDIC Contract.
Someone show it to Jim Cramer
Interface looks clunky, web 1.5. Small side scrolling boxes, with huge borders, slow updating, wasting space and time.
So why if this is so good it’s been a pump and dump the last 6 Months it’s been over 15 years of business but haven’t been able to sustain it due to the shares compensation when the dpo started it