This document discusses paradigm shifts in various fields including computing hardware, software, and business models. It notes shifts from vacuum tubes to transistors to integrated circuits, mainframes to personal computers to mobile devices, and packaged software to web applications to open source. The document advocates for systems that can evolve in response to changes in data through machine and deep learning. It provides examples of how Netflix has adapted its recommendations and content delivery based on user behavior data. Overall, the document argues that systems should be designed to flexibly change and adapt as businesses and data evolve over time.