Most business requires data analysis and planning. Under the hood regression models and/or some sort of component analysis is used. Deep learning is a cool fea

Most business requires data analysis and planning. Under the hood regression models and/or some sort of component analysis is used. Deep learning is a cool feature to differentiate Alexa from competing home electronic gadgets. But if you want to forecast Alexa sales, or understand market segmentation, or the portrait of a typical Alexa buyer then you need something other than deep learning because neural nets utterly failed in this domain. The business metrics problem is vastly, vastly more important than the "making cool gadgets" problem, and huge resources were poured into making deep learning a thing in this space. The money was mostly wasted. (A negative result is still a result, but still the misallocation of resources is staggering.)