The Foundations of Scalable AI
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 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 systems, into lasting value for investors.
TL;DR
- Scalable AI requires convergence of data, engineering, platforms, operating models, and governance.
- The session explores building AI foundations in regulated environments.
- Responsible and trustworthy implementation can create lasting value.
- Jing Wang leads Vanguard's Center for AI & Insights, driving innovation in AI and related fields.
- Vanguard aims to translate emerging technologies into trusted solutions for clients and business value.