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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.

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The MIT Technology Review EmTech Future conference featured a session on building a scalable AI foundation that integrates data, engineering, platforms, operating models and governance, especially within highly regulated settings. The discussion highlighted how responsible, trustworthy implementations can convert emerging capabilities—such as agentic systems—into lasting value for investors. Jing Wang, who leads Vanguard’s Center for AI & Insights, described her team’s work advancing the firm’s AI, machine learning, generative AI and behavioral science initiatives. Their enterprise‑wide research and delivery aim to turn emerging technologies into trusted solutions that improve client experiences, investor outcomes and measurable business value.

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