Ask HN: Where is AI/ML actually adding value at your company?

I've got some ocean-front property in Arizona I'd like to sell ... I know it's a premium price but it's worth it!

and when nothing pans out, promise AI/ML 2.0 will solve everything.

you're all idiots.

The entire product I built over the last year can be reduced to basic statistics (e.g. ratios, probabilities) but because of the hype train we build "models" and "predict" certain outcomes over a data set.

One of the products the company I work for sells more or less attempts to find duplicate entries in a large, unclean data set with "machine learning."

The value added isn't in the use of ML techniques itself, it's in the hype train that fills the Valley these days: our customers see "Data Science product" and don't get that it's really basic predictive analytics under the hood. I'm not sure the product would actually sell as well as it does without that labeling.

To clarify: the company I work for actually uses ML. I actually work on the data science team at my company. My opinion is that we don't actually need to do these things, as our products are possible to create without the sophistication of even the basic techniques, but that battle was lost before I joined.

Our low-latency trading group uses regression widely. We have experimented with more complex models but haven't found a compelling use for them yet.