Recent technology advances have expanded our abilities to quantitatively measure biological systems. Depending on technology it is now possible to measure tens to tens of thousands of features of hundreds to millions of single cells. This is a new level of discovery and diagnostic power for medicine. However, the established process for data analysis has been completely burnt down. In it’s place, a rapidly evolving ecosystem of machine learning innovations is springing forth to meet demand. We will review select cellular analytics technologies and how pharmaceutical companies are using them to generate data for a host of therapeutic indications, including the evolving field of cellular therapy, which has achieved miracles recently as a weapon against cancer. We will also overview the current state of machine learning as a tool for the analysis of the data produced by these technologies, a critical part of the process of understanding diseases and developing therapeutics to cure them.