This describes 99% of ML projects in industry. This may well be true given how fragile a construct most deep learning systems are. But there are still substan

This describes 99% of ML projects in industry. This may well be true given how fragile a construct most deep learning systems are. But there are still substantially different deployment issues for different systems. Google can deploy a question-answerer or a search-by-image-description system and lowered accuracy in practice doesn't really do much damage. Google can't deploy a self-driving car with low safety in the same way.