I would suspect AI/ML profits come largely from improving ad revenue at very stable companies.
Ask HN: Where is AI/ML actually adding value at your company?
11–20 of 200 posts
Re: Ask HN: Where is AI/ML actually adding value at your company?
#12I think a lot of the real benefits from ML "at work" is more in just cleaning of data and running through the gauntlet of simplest regressions (before jumping onto something more magical whose outputs and decision making process you can't exactly explain to someone).
I would classify something like this blog post as ML, would you? http://stackoverflow.blog/2016/11/How-Do-Developers-in-New-Y...
Re: Ask HN: Where is AI/ML actually adding value at your company?
#13We use Convolutional Networks for semantic segmentation [1] to identify objects in the users environment to build better recommendation systems and to identify planes (floor, wall, ceiling) to give us better localization of the camera pose for height estimates. All from RGB images.
[1] https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn...
Re: Ask HN: Where is AI/ML actually adding value at your company?
#14- We use a complex multivariate model to predict customer conversion and prioritize lead response - We use text analysis to improve content for effectiveness and conversion Among other things
Can you please explain complex multivariate model in detail? I am curious to learn about it
Re: Ask HN: Where is AI/ML actually adding value at your company?
#15We've been using "lite" ML for phenotype adjudication in electronic health records with mild success. Random forests and support vector machines will outperform simple linear regression when disease symptoms/progression don't neatly map to hospital billing codes.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#16Sift's product is based on ML.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#17Earlier quoted context omitted.
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!
"Our AI models show that California will sink into the ocean, and you'll be ahead of the curve with your own Arizona Bay beachfront property!"
Numerai is analyzing HN comments as a metric for choosing stock trades and has just shorted all west coast companies.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#18At Persyst we use neural networks for EEG interpretation. Our latest version has human-level performance for epileptogenic spike detection. We are now working on bringing the seizure detection algorithm to human-level performance.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#19The 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…
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.
So you are misleading your customers through omission? This is the kind of thing that makes people question anyone stating they are using ML. Those of us actually implementing ML techniques (aka training neural nets and automating processes with data) are met with unnecessary skepticism as a result.
edit: OP clarified his position since this post so take that into account when reading.
Re: Ask HN: Where is AI/ML actually adding value at your company?
#20We use RNNs for voice keyword recognition.