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It means they apply current data science tools for legacy clients who have tons of data, but few modern engineers.

Part of their modus operandi is to eschew data science in favor of human in the loop pattern analysis. This is born from Thiel's experience at paypal where human in the loop was much better at catching human fraud than machine learning and other automated approaches.

Human-in-the-loop, definitely.

My point being that they still deploy a lot of low-level data science against data sets to prepare a view for human interaction.

And their typical customers have limited ability to do that prep in-house.

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