跳到正文
MIT Technology Review · AI· MIT Technology Review Events·· 2 小时前AI 评分12

Vanguard 王静谈可扩展 AI 的基础:数据、工程、平台、运营模式与治理如何协同

The Foundations of Scalable AI

AI 导读

Vanguard 人工智能与洞察中心(CAI)负责人 Jing Wang 在 MIT Technology Review 的 EmTech Future 会议上,讨论如何在高度监管的环境中构建可扩展 AI 的基础。她提出,可扩展 AI 系统需要数据、工程、平台、运营模式和治理协同运作,形成统一的基础。演讲还探讨了负责任、可信赖的实施方式如何将包括智能体系统在内的新兴能力转化为对投资者的长期价值。Jing Wang 于 2009 年加入 Vanguard,此前曾在波士顿咨询公司担任 Principal,拥有中国科学技术大学物理学学士学位、宾夕法尼亚大学博士学位及沃顿商学院金融与市场营销 M.B.A.。

正文

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.

来源:MIT Technology Review · AI · technologyreview.com