[ethbr0]

If I had a nickel for every time I've seen "business rules engine" turned into "AI" in the last few years...

But I guess if we complain that half of our colleagues and the media don't understand ML, why should we expect management to?

When the command from C-level is "We need some AI projects to tell our shareholders about," we shouldn't be surprised when middle management suddenly has successful AI projects in their slide decks.

[i_am_proteus]

If you have an existing rules-based decision-tree system, and you compare its performance with a bunch of other decision trees, and it does better, you are implementing a random forest that happens to be identical to your original system.

Artificial Intelligence.

[mumblemumble]

If you talk enough all the models and hyperparameters you compared and suchlike that you experimented with, you can probably sufficiently impress people with the talk about the enormous deep learning model you spent several months developing that they won't even remember you mentioning the two-clause Boolean expression that you actually put into production. And of course it's AI. You used k-fold cross validation to select it.

[cm2187]

In the same way the terms “blockchain” being used for “digital signing” or “cloud” for a server...

[mjburgess]

Well really-existing AI is just either "taking a mean()" or "programming a rule". So all of programming actually counts as (symbolic) AI.