
What happened
Vanguard's Jing Wang, who leads its Center for AI & Insights, is leading an EmTech Future session on building scalable AI foundations in regulated environments.
Why it matters
The session argues that data, engineering, platforms, operating models, and governance must converge for responsible AI to deliver lasting investor value.
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The session comes as financial firms like Vanguard work to move AI from experiments to enterprise-wide systems. Wang's team at the Center for AI & Insights is tasked with advancing AI, machine learning, generative AI, and behavioral science across the firm.
The description emphasizes that a scalable system requires data, engineering, platforms, operating models, and governance to converge, rather than treating them as separate workstreams. That framing suggests the challenge is as much organizational as technical.
Wang's background includes leadership roles across several Vanguard divisions and prior experience at Boston Consulting Group, which may inform a cross-functional view of how to implement AI responsibly in a regulated industry.
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