Vanguard AI lead discusses foundations for scalable AI
Original title: The Foundations of Scalable AI
The EmTech Future session covers data, platforms, governance and agentic systems in regulated settings.
MIT Technology Review's EmTech Future conference session argues that scalable AI needs data, engineering, platforms, operating models and governance to work together. Jing Wang, principal of Vanguard's Center for AI and Insights, is the speaker. The description focuses on building that foundation in a highly regulated environment and on turning agentic systems into investor value. No new product, model or research result is announced.
- Wang leads Vanguard's Center for AI and Insights.
- Topics include generative AI, machine learning and behavioral science.
- The session is framed for a highly regulated environment.
From the original article
1 min read at technologyreview.com
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…
By MIT Technology Review Events · technologyreview.com
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