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As someone who is currently working on successful commercial product with a strong a expert system component, I agree with the sentiment. The funny thing about this project is that the product owners nor marketers and not even the coders ever use the term "expert system". It just doesn't sell any licenses nor garner any attention.

My view is that expert systems are a ubiquitous part of many products to the degree it's hard to even recognize them as such. They're not the main focus of anyone's marketing budget, because that makes about as much sense as promoting your "revolutionary axle technology" to sell a car.



A bit off topic, but I've been wondering about what expert systems are a lot lately, and I hope you don't mind me asking a few things about them.

I started studying machine learning long after statistical models was the absolute standard, and all I really know about expert system, are passing phrases in textbooks about how the world has moved away from it.

How does one go about building one? MNIST character recognition is often called the "Hello world of machine learning" ... what is the "Hello world of expert systems?"

Is there a modern term for Expert Systems?


the term 'expert system' was tainted by AI Winter I.

I suspect the term 'Machine Learning' will become a dirty word after AI Winter II.




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