12/ This is unsurprising: they are caught between the tech industry's "magic cognitive AI does everything" hype marketing...
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13/... and of course not having the technical understanding to identify labeled datasets/decisioning opportunities for supervised learning
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14/ AI-enabled consumer products are making much, much faster progress so far, delivering new UX to consumers who are voice and photo-first
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15/ I'm optimistic we can do much better than this over the next few years as we get to the slightly less obvious ideas...
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16/... and there is more crossover between people who understand domain problems, workflow, modern ML and product
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17/ End musings! Side note: check out 's HBR article on what AI can and can't do right now: hbr.org/2016/11/what-a
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ughhhh if I were a bot, I might be shit at interacting, but at least I wouldn't have numbered my thread 12/ 12/ 😣
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As a founder on this "map" I agree. Most teams are founded by scientists with zero clue on what "sales" or "applications" are ;/
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If that is the case they certainly dont acknowledge it in their marketing
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Not publicly of course, why would a company with no sales whatsoever give stock options or shares to its employees?
Only asset they have. Beyond that they sell dream jobs. Nothing wrong with that. Sv vcs just want to flip tech quick. Interests align
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