The paradox with artificial intelligence (AI) and machine learning (ML) is that despite (or because of) the hype, it’s still hard to find practitioners who understand how to use those approaches. Perhaps the best way to characterize the AI paradox is “so near yet so far.” AI is tantalizingly accessible for a variety of reasons. [1]
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