In ML, where algorithms get published quickly and state-of-the-art frameworks are open-source, there isn't any first-mover advantage
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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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"Better tech" is only 1/10th of the solution though. It's 100% the focus of papers but isn't all that's needed in real world :(
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that's mainly due to the fact that all results are drawn from benchmark datasets, way different than the real world
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Despite the neural nets being out there it doesn't mean enterprise will be able to deploy them effectively ;/
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Agree in most cases. This however changes when there is new HW that provides uniquely useful data... then the edge is also access to that HW
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And that can very well be in new contenders wheelhouse
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Do you see this changing with new unsupervised algos / small data ai? Any such algos you think are promising to compete with supervised?
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The "bigco's benefit most from new tech" argument seems to be broadly true, but it's easy to underestimate a small team with traction.
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Larger companies might also have the edge for finding more skilled people, even with yhe issues with a recruitment processes.
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Huh ?
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