As a mixed methods researcher on Gartner’s Data & Analytics Peer and Practitioner research team, Claire Song delivers data-driven insights on AI adoption, data governance and risk management, and talent strategy, empowering D&A leaders to make high-impact decisions for scaling their operations.
Prior to joining Gartner, Claire studied Economics and Data Science at the University of Chicago.
B.A., Economics, University of Chicago