The Foundations of Scalable AI
TL;DR · AI 摘要
文章概述构建可扩展AI系统的基础要素，但缺乏具体技术细节和实践案例，信息密度较低。
核心要点
- 构建可扩展AI需数据、工程、平台、治理等多要素协同
- 监管环境下的责任实施是AI落地关键挑战
- Vanguard通过AI提升客户体验并创造业务价值
结构提纲
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思维导图
用一张图看清主题之间的关系。
查看大纲文本（无障碍 / 无 JS 友好）
- 可扩展AI的基础
- 核心要素
- 数据
- 工程
- 平台
- 治理
- 挑战
- 监管环境
- 责任实施
- 应用案例
- Vanguard投资领域
金句 / Highlights
值得收藏与分享的关键句。
数据、工程、平台、运营模式和治理必须收敛为一个整体
责任实施可将新兴AI能力转化为持久价值
Vanguard的AI团队推动企业级创新与交付
The Foundations of Scalable AI | MIT Technology Review
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The Foundations of Scalable AI
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- MIT Technology Review Events archive page
October 22, 2026
Vanguard's Jing Wang at EmTech Future 2026
Presented by Vanguard
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.
About the speaker
Jing Wang, Principal, Center for AI and Insights, Vanguard
Jing Wang leads Vanguard's Center for AI & Insights (CAI), advancing the firm's AI, machine learning, generative AI, and behavioral science capabilities. 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. Throughout her tenure, 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. Jing 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. Jing holds Series 7, 24, and 65 licenses.
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