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likeamanyfacedgod OP t1_is0nr3t wrote

well it's purely theoretical for now. Imagine that I create a tool that predicts something important with a high degree of accuracy. And this tool - whilst many other machine learning engineers could also make it if they took the required time - is not something you can make in a week after following a few "towardsdatasci" articles... And then imagine that other companies are interested in predicting that thing. It may be the case that a few other companies have/claim to have a similar tool that's equally as accurate. Those companies could either A) employ their own data science team to recreate the tool and hope that that team can achieve the same accuracy. Or B) Buy my tool and have something that's guaranteed to work. So my question is: does "B" from the above ever actually happen in practice?

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z_fi t1_is0sobt wrote

Yes, and this is why business and sales people make a ton of money.

A great technology isn’t valuable unless you know how to monetize it

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Battleagainstentropy t1_is0vlku wrote

Most companies for whom this would be valuable have professional teams that would be working on this problem. What is your advantage over them building it internally? Do you have access to some resource like data that the industry doesn’t? This kind of thing exists for sure, but it’s typically started by people who are in the industry already, understand from the inside what the weaknesses and blind spots are of existing state of the art, then go off on their own to address them.

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onkus t1_is2aa0r wrote

You cannot patent an embodiment of a thing. Unless you develop a novel method or system which is also suitable (there are more hurdles to clear) then you cannot file IP on it.

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