13/... and of course not having the technical understanding to identify labeled datasets/decisioning opportunities for supervised learning
Conversation
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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Only asset they have. Beyond that they sell dream jobs. Nothing wrong with that. Sv vcs just want to flip tech quick. Interests align