The Foundations of Scalable AI
A scalable AI system requires a strong foundation.
A scalable AI system requires a strong foundation.
The short version
- Data, engineering, platforms, operating models, and governance must converge to work as one.
- This session from MIT Technology Review’s EmTech 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…
- Jing Wang leads Vanguard's Center for AI & Insights (CAI), advancing the firm's AI, machine learning, generative AI, and behavioral science capabilities.
What happened
Her team drives enterprise-wide innovation, research, and delivery, enabling Vanguard to translate emerging technologies into trusted solutions that enhance client experiences, improve investor outcomes, and create measurable business value. Before her current position, Jing served in a range of leadership roles across Vanguard's Financial Services, Workplace Solutions, International, and Corporate Services divisions.
Why it matters
Throughout her tenure, she has led teams and enterprise initiatives that advanced strategic priorities, strengthened client outcomes, and drove business performance across the firm.
Summary by Nerd News Network. Read the full article at MIT Technology Review — AI via the links above and below.