What advice do you have for others considering Palantir Foundry?

I would rate this product a 9 out of 10.

I have two suggestions for other companies looking to use Palantir Foundry. First, you need to understand how Palantir Foundry integrates with your IT system landscape before choosing to use Palantir Foundry. Second, you need to define and design good governance for Palantir Foundry usage for your data platform. I have rated this review with a score of 8.

I believe they should get started by completing all the free certificates, then they could apply to the paid certificates to get a master of Palantir Foundry, solve some real use cases, do examples that Palantir Foundry has provided, reverse-engineer the examples, and then create it from scratch. That basically helps to build the foundation and learn how the platform works. Palantir Foundry is one of the most advanced tools right now, in my opinion, and it would take over the world very soon. I think Palantir Foundry is a great platform, but the platform is still building, so I have very high hopes from Palantir Foundry that it will take over the world very soon and will be the most useful product available. In the future, I believe Palantir Foundry will do more on it and will succeed. Palantir Foundry's AI capabilities are pretty safe because the AI is inside our instance. I don't think there is any risk of data leakage and everything stays in our instance. I feel pretty comfortable sharing my data and everything with the AI inside my instance. Regarding Palantir Foundry's AI capabilities, basically no AI is completely reliable. We still need to review things after the AI has done its work. I would rate it a seven for accuracy and reliability. It does most of the heavy lifting for us, and we just need to review and give the prompts or maybe fix it manually for some parts. That helps. I would rate this review an 8 out of 10.

Regarding Palantir Foundry's AI capabilities, my team used Palantir Foundry for most of our governance and security purposes because it provides a robust and secure environment where data can be governed according to the organization's standards and needs. For AI capabilities, I used AIP Assist which also worked well. The accuracy and reliability of Palantir Foundry's AI capabilities are quite accurate, although it does hallucinate sometimes and I have to correct it in those scenarios. You cannot blindly trust the response given by the AI. You always have to have a correct understanding of what you have asked and whether you understand those things. Otherwise, you will simply use the AI response, and it might not be the right thing to do. I would recommend doing proper research and calculating the cost that you might incur or you would be willing to pay for the Palantir Foundry services that you use. If you are already using one cloud platform such as Azure or AWS and you want to switch to Palantir Foundry for just one service, I would not recommend it. However, if you want to migrate your entire workload to Palantir Foundry, it will really be a cost saving and will be efficient. I would rate this review an 8 out of 10.

You should always give Palantir Foundry a try. However, you should not limit yourself to Palantir Foundry. The current capability of Palantir Foundry is good and great. However, it does not mean that there are no other options, so you need to think and take a hybrid approach. It is a great tool, no doubt about it, but as far as wide adoption is considered, one of the reasons is price. Another reason is that it is not freely integrable with any of the solutions because of its tight coupledness. This creates a certain kind of hurdle in its wide adoption. However, I do understand that a lot of organizations are adopting it in the United States and a part of Europe, but there is the rest of the world who has not yet adopted it or is not even thinking on those grounds because one of the reasons is price. Regarding Palantir Foundry's AI capabilities, I think the governance and security are good. There is no doubt about it. I would say the accuracy and reliability of output from Palantir Foundry are pretty decent. You can rely on it. At the end of the day, the AI capability is backed by Claude, so it is pretty decent. I would rate this review as six out of ten.

For others considering using Palantir Foundry, I would advise getting very comfortable with the data pipeline, data lineage, or Monocle, using Contour for quick analysis, and utilizing Code Workbook for quick POCs before writing code in the code repository. It is beneficial to make use of all the latest products Palantir rolls out, as they are really useful. From an organizational perspective, it is advisable to note that initially, the cost may be low, but as time passes, cost can be a significant factor in deciding whether to continue using Palantir Foundry or not, so those considerations should be taken into account. I think Palantir Foundry is a good tool in general. However, there are some problems that I previously highlighted, including the availability of software engineers trained on Palantir Foundry. I am uncertain of the current situation, but it was quite difficult to find training on Palantir Foundry two years ago if you did not have project access. Unlike GCP and Azure, which provide free credits to try their products, Palantir Foundry did not have such offerings two years back. This made it difficult to learn about Palantir Foundry until onboarded to a project. There still seems to be a shortage of Palantir Foundry developers in the market, causing potential pauses or halts in work when someone from the team leaves for other opportunities. Cost is another factor; in the long run, the cost of using Palantir Foundry can escalate quickly, so one should be mindful of that. It is difficult for me to assess how secure Palantir Foundry is, but per the contract we have, the calls were routed directly to Azure instances of the LLM deployments, ensuring that calls are made over a secure network. Thus, I find it difficult to comment on security. The accuracy of output from Palantir Foundry is dependent on the LLM models we use; hence, I do not think that Palantir Foundry influences accuracy in any manner. I would rate this review as a 6.

My advice would be to approach Palantir Foundry as an enterprise operational platform, not just a traditional data tool. The platform delivers the most value when organizations fully leverage its governance, operational workflows, lineage, and collaboration capabilities rather than using it only for basic ETL processing. The platform is extremely capable, but there are some improvements around DevOps flexibility, usability, and debugging experience that would make it even better. I rate this platform a nine out of ten.

My advice to other companies considering using Palantir Foundry is to take the leap if they have doubts, since it's a very good platform and, although at the beginning the learning curve can be a bit steep, once it stabilizes, growth is exponential. I give it a rating of nine out of ten because there's always room for improvement. No application is perfect and we all have the possibility to improve.

I would advise others to start using Palantir Foundry and experiment thoroughly before signing any contracts. My review rating for Palantir Foundry is six out of ten.

If we are using an Excel solution or something which is really manual, Palantir Foundry could help ease our lives and defining the right needs early on for our project could help us nail down those design details for the project and find the right solution in Palantir Foundry. I would rate this review an 8.

First of all, I would advise others looking into using Palantir Foundry to ask themselves if they want to use it given the reputation of the company. You don't need to use Palantir Foundry per se. The second consideration would be whether you want to use Databricks or any other implementation of Apache Spark. It would be interesting to see if you prefer the drag-and-drop nature of Pipeline Builder as opposed to, say, notebook structure of Databricks. So it might be a choice. I would probably say talk to your data engineers and ask for their opinion. Take that into consideration as well. Factors to consider include if you implement Palantir Foundry as what they consider a default option, you are likely to be very entangled into the product. It would be difficult to decouple in the future. That is why they are very sticky. That is probably one of the issues the NHS will get with the product in the future. My overall rating for Palantir Foundry is 6.

My advice for others considering Palantir Foundry is that it delivers an ecosystem eliminating the need for third-party applications, greatly simplifying tasks without requiring extensive efforts in model training or other processes, making it a strong option for organizations. Security and data governance are also significant advantages. I have covered everything I know and have used regarding Palantir Foundry. I would rate this product a ten out of ten.

The visualization part in Palantir Foundry works for me at least if I want to see how the data is structured and for an initial analysis, but I would say it is not as matured as Power BI or Tableau in the market. Compared to Power BI and Tableau, it is not that mature. You can do a lot of things, but UI-wise, I feel Power BI and Tableau take precedence over what Palantir Foundry has. Palantir Foundry has it, but it is not as mature as those applications. I am using some data integration features, including the in-built data integration feature in Palantir Foundry. We have several external sources apart from Palantir Foundry, so our application data is stored there. We use the data connection application and bring in all the data there. I am not entirely sure about my level of satisfaction with the functionality of Palantir Foundry, but I think it is good. My overall review rating for Palantir Foundry is eight out of ten.

Palantir Foundry is an excellent product for data engineering. On a scale of one to 10, I would rate Palantir Foundry a 9.

I rate Palantir Foundry a ten out of ten. Overall, it's an excellent solution, and I recommend it. While I am building a business case to adopt Palantir Foundry, it's worth noting its partnership with Databricks. Our organization already has Databricks, and I hope we will get Palantir Foundry as well.

We tried some machine learning algorithms with Palantir Foundry. Since some packages are unavailable, we have to do that specific work on the Azure environment. I would recommend the solution to other users, but they must evaluate data security concerns. Overall, I rate the solution an eight out of ten.

Palantir Foundry has been very forthcoming, but we don't have a full picture of their roadmap and what it would be built upon. It's more of a partnership where we talk about our use cases, and their team comes and tells us about the features we can use. So, it is a work in progress. You can connect Palantir Foundry to various LLNs like Google Bard, Llama, or OpenAI. Overall, I rate the solution a six out of ten.

Palantir Foundry is a cloud-based solution. I would recommend Palantir Foundry to other users based on their use cases, the complexity, and the scale of the platform they're looking for. Palantir Foundry has all the right ingredients in terms of the overall data platform, but it depends on the kind of use cases that customers are looking at. Overall, I rate Palantir Foundry a seven to eight out of ten.

I would rate this solution as eight out of ten. My advice is to look at your use case and data. First, who is using the data? Is it a person in finance who doesn't know anything about IT? Is it a person with an IT background? You have to establish those things first. Is this to enable someone with a technical background or is this to enable someone with a non-technical background? Is the data structured or unstructured? What is it going to be used for? Palantir works best with structured data.

We use Palantir for our data engineering tasks but when it comes to reporting, we mostly use third-party tools, not Palantir. If an organization currently has no tool set where data is centralized and where it takes a lot of time for business people to understand the data or use the data, then I think Palantir Foundry is a good solution. I think it's generally only suitable for mid-level companies and there would be some organizations where the cost might be prohibitive. For a small company, it would be very expensive to onboard a tool like Palantir. Given the above, I rate the solution seven out of 10.

If you plan to use this solution it's important to be aware of data engineering and data visualization concepts. I haven't had sufficient experience with this solution so for now I rate it six out of 10.

I rate Palantir Foundry five out of 10. I'm ambivalent. Palantir's support is excellent, and you can do a lot with it. On the other hand, it's not open. People who enjoy working on it will give it a 10. However, I'm focused on interoperability when I think of an EDC. There's no dynamic metadata export or visibility. If I want data lineage, I have to go project by project. If I run a command, it goes to GitHub and then executes the command to pull out a current state lineage. I have to export that and then bring that into my EDC.

We're implementors. There are still place the solution can have room to improve, we've been mostly quite happy with it. I would rate the product at a nine out of ten. I'd advise a company considering the solution gets a technical consultant for the platform. They also have sales training on their website. The modules range from simple to complex. You can do some pretty good self-training with your team if you need to.

I would rate this solution an eight out of ten.