Earlier quoted context omitted.
There is nothing wrong with the ontologies approach. Palantir is not aiming for a fully automated approach. Palantir's core product is a an entity graph mostly used and manipulated by humans for analysis. Basically their software is only meant to augment human analysis. That being said, from my conversations with them, they also have a traditional machine learning team for whenever that approach is needed for a produ…
There is usually something wrong with the ontologies approach as it rarely works. There is roughly two decades of evidence for this for anyone who cares to look. Five decades if you loosen the definition to include the family of logic and constraint programming - see AI Winter. There is nothing new about these ideas. It always looks and feels like it's going to work which is why humanity has persisted with it for so…
Do you have references to any specific discussions on this?
Curious as I'm doing some work of my own (well outside AI) in which developing ontologies strikes me as useful, though I'd prefer not falling into any well-worn traps.
(My use is largely comping up with useful descriptive models of otherwise hairy concepts.)