Vanguard's Jing Wang Discusses Foundations of Scalable AI at MIT EmTech Future
Current overview (not historical)
Vanguard's Jing Wang presented at MIT Technology Review's EmTech Future conference on building scalable AI systems under regulation. She emphasized integrating data, engineering, platforms, and governance to realize investor value and improve customer experience. Wang focused on translating emerging capabilities like agent systems into practical value within a responsible implementation framework, highlighting the balance between innovation and compliance.
Written with AI from the reporting · updated 10/22/2026
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- 1Unclassified fact stationOct 23, 06:56single sourcereport-time only
The Foundations of Scalable AI
Read original source ↗ MIT Technology Review · AIReplay this moment in the explorerEvidence & revisions · 1 source records
- Subject:
- Jing Wang
- Action:
- leads Vanguard's Center for AI & Insights
- Object:
- advancing AI, machine learning, generative AI, and behavioral science capabilities
- Occurred (fact side):
- not recorded
- Published (valid side):
- Oct 23, 02:48
- First seen (known side):
- Oct 23, 06:56
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- MIT Technology Review · AIRelated fact: single sourceFact occurrence time unverifiedVanguard Principal Jing Wang discusses building scalable AI foundations at MIT Technology Review conference
Report first recorded Oct 23, 06:56
A scalable AI system requires the convergence of data, engineering, platforms, operating models, and governance. At the MIT Technology Review’s EmTech Future conference, Jing Wang, Principal at Vanguard's Center for AI and Insights, explored how to build this foundation in a highly regulated environment, enabling responsible implementation of emerging capabilities like agentic systems to create lasting value for investors.
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