This is a point I meant to blog about, but a new piece from Tech Review led me to more or less sum it up in tweets:
My guess is even if all scientific progress in ML stopped completely, it’d *still* transform most industries https://t.co/STO0OuJIty
— Walt Frick (@wfrick) September 29, 2017
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We’re still just scratching the surface of the linear regression economy. We still haven’t finished adopting basic analytics. Etc.
— Walt Frick (@wfrick) September 29, 2017
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These technologies aren’t magic so making them work requires organizational change which is slow
— Walt Frick (@wfrick) September 29, 2017
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But even w/o more technical progress, “full stack startups” centered around data will continue to challenge the status quo for a long while
— Walt Frick (@wfrick) September 29, 2017
A related point: models are not the constraint for most data science projects. My thinking in all of this is informed by Kalyan Veeramachaneni of MIT, who’s written about some of these issues here.
beyond the times 