This talk will provide an overview of how Ayasdi uses topological data analysis together with standard machine learning techniques to derive insights into diverse data sets. The techniques enable automated discovery without making queries or hypotheses and works by looking at the data in its entirety to find data points that are "similar". These methods will be demonstrated on a number of use cases.