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I run a company that does financial portfolio optimizations and runs regressions on financial time-series data. These tools are in some sense the very first widespread use of "machine learning" techniques (at least in finance). I've noticed the same effects that the OP mentions: a handful of companies in this sector using the same tools may slap "ML and AI" all over their product and marketing. They're not incorrect - it just feels like a bit of a stretch to do so.



Sounds like your company is doing something similar to what my company was doing before I left. You're right - we weren't technically wrong, but it did feel disingenuous. I was never really sure if our customers actually derived value from our product in the way we wanted them to, or if it was simply a wildly speculative investment made by middle managers feeling FOMO after reading the Wall Street Journal.




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