A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one. This session from MIT Technology Review's Em Tech Future conference explores what it takes to build that foundation in a highly regulated environment and how a responsible, trustworthy implementation can turn emerging capabilities, including agentic systems, into lasting value for investors.
The session features Jing Wang, Principal at the Center for AI and Insights at Vanguard. Wang leads the center's work across AI, machine learning, generative AI, and behavioral science. Her team drives enterprise-wide innovation, research, and delivery, helping Vanguard translate emerging technologies into trusted solutions that enhance client experiences, improve investor outcomes, and create measurable business value.
Before her current role, Wang held a range of leadership positions across Vanguard's Financial Services, Workplace Solutions, International, and Corporate Services divisions. She has led teams and enterprise initiatives that advanced strategic priorities, strengthened client outcomes, and drove business performance across the firm. She joined Vanguard in 2009 after several years as a Principal at the Boston Consulting Group.
Wang earned a B.S. in Physics from the University of Science and Technology of China, a Ph.D. from the University of Pennsylvania, and an M.B.A. in Finance and Marketing from the Wharton School of Business at the University of Pennsylvania. She holds Series 7, 24, and 65 licenses.
Source: MIT Technology Review AI · Summarized by HeadlinesBriefing