The world is full of computing devices that calculate, monitor, analyze, and control processes. The underlying technical advances within computing hardware have been further enhanced by tremendous algorithmic advances across the spectrum of the sciences. The quest -- ever present in humans -- to push the frontiers of knowledge and understanding requires continuing advances in the development and use of computation, with an increasing emphasis on the analysis of complex data originating from experiments and observations. How this move toward data intensive computing affects our underlying processes in the sciences remains to be fully appreciated. In this talk, I will briefly describe how we arrived at this point, and also give a prospective toward the end of the talk.