Utimately one of the most important issues of using AI. Making it work in operational context. And note too the discovery of wrong assumptions, a kind of confirmation bias, that is highlighted. All models have assumptions, even the most sophisticated. Rooting them out early in machine learning is too often not emphasized.
Keynote from O'Reilly Strata
Operationalizing machine learning A short video.
Dinesh Nirmal explains how real-world machine learning reveals assumptions embedded in business processes that cause expensive misunderstandings. ... "
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