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. 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…
Scalable AI systems necessitate a robust foundation, according to Jing Wang, Principal at Vanguard's Center for AI and Insights. She underscored that data, engineering, platforms, operating models, and governance must integrate seamlessly to function cohesively. Wang's address at MIT Technology Review’s EmTech Future conference delved into the intricacies of constructing this foundation within a highly regulated environment.
She emphasized that a responsible, trustworthy implementation of emerging capabilities, such as agentic systems, could yield enduring value for investors.
Written by urgent.news from MIT Technology Review's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
