In ML, where algorithms get published quickly and state-of-the-art frameworks are open-source, there isn't any first-mover advantage
Rather, competitive edge comes from data accumulation and infrastructure know-how
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Which tends to benefit established large companies, rather than nimble upstarts with better tech
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But also there are so many verticals established companies can't go deep enough into, and that's the opportunity for nimble upstarts.
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Absolutely. Checkout my predictions on AI from 2 years ago.https://mobile.twitter.com/ChikaObuah/status/664127720788488192 …
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Agreed. Like ML, any other example in history when infrastructure know-how n data accumulation was advantage?
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Also domain expertise matters (asking the right questions is a lot harder especially in large companies)
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This is the scary part actually. This is what AI Doomsday headlines should be made of. The community should work towards democratising data.
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in that case, why even bother with improving on algorithms?
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Also: applying to new problems. Eg we boosted cf recos with image features, can do because we have visual product. No cutting edge research
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Ok, maybe that was cutting edge two years ago. But point is there are lots of venues to find creative solutions if you are not GOOG/FB/TSLA
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True, as long as the established company masters both (data accumulation and infrastructure know how) . I'd add rapid iteration to the mixpic.twitter.com/LgUjPsGzgG
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