This chapter presents examples of what data science can do. For the technology-, healthcare-, and science-related examples, the authors define the problem and then sketch how to collect data, build a model, and use it to solve the problem. They start with spelling correction, followed by speech recognition. Other examples include recommendation systems and protein folding. Also discussed is the promise of using large quantities of individualized health data to learn about and improve human health. Finally, the authors provide a cautionary example by discussing mortality predictions during the COVID-19 pandemic. The examples illustrate the diversity of considerations data scientists must address as they solve new problems.