We know: usefully coding robots is 100x harder than building them. Now learning: getting intel out of data is 100x harder than gathering it
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not sure I agree. Data engineering, cleaning, and munging is about 80% of the work.
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Most insights are trivial, flawed or both and as yet, can't even compete well even with intuitive, low-data human narrative.
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Not sure what realm you're talking about. A/B testing and recommendations, two enourmous data domains, are not trivial nor intuitive
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