Are we using Deep Learning where it should be used?

Deep Learning has become a trend that everyone is attempting to enforce in many problems as it has proved its success in solving many problems with extremely high accuracy. Even though deep learning is highly effective, many problems could have been solved with exact programs and classical computer science techniques. Does deep learning actually get applied where it should? Do people experiment with other techniques before turning to deep learning when solving a problem? In this article, we attempt to answer these questions with the help of two actual examples.