As data continues to expand, it is becoming more problematic to provide performant query access to entire datasets. The data twin, implemented as a data product, is a representative subset of the entire population that is significantly smaller. It can be reliably generated and consumed for inference and supporting a range of use cases, including exploratory, estimation and hypothesis testing. In this session, attendees will learn what a data twin is and how to implement data twins to support AI initiatives.