🔒Vanguard's AI Foundation: Building Trust in a Regulated World
How Vanguard turns AI into trusted solutions
TL;DR
Vanguard's Principal at EmTech Future discusses building a robust AI foundation in highly regulated environments, emphasizing trust and responsibility. Key insights on translating emerging tech into trusted solutions.
Vanguard's Principal at EmTech Future conference dives into the complexities of building a scalable AI system in a regulated environment. The talk highlights the necessity of a strong foundation that includes data, engineering, platforms, operating models, and governance. This foundation is crucial for turning emerging AI capabilities into lasting value. For developers and enterprises, this means understanding the importance of trust and responsibility in AI implementation. The speaker, with a background in physics and extensive experience in finance and technology, shares insights on how Vanguard translates emerging technologies into trusted solutions that enhance client experiences and improve investor outcomes.
Key Points
Vanguard's Principal discusses AI foundation at EmTech Future, emphasizing trust and responsibility.
Speaker has a B.S. in Physics from the University of Science and Technology of China.
Speaker holds Ph.D. from the University of Pennsylvania and M.B.A. from Wharton School.
Speaker's team drives enterprise-wide innovation, research, and delivery at Vanguard.
Vanguard's team translates emerging tech into trusted solutions, enhancing client experiences.
Why It Matters
If you're building AI systems in regulated industries, Vanguard's approach to a robust foundation is crucial. Their team translates emerging technologies into trusted solutions, enhancing client experiences and improving investor outcomes. This is particularly relevant for financial institutions and enterprises dealing with sensitive data.
Comments
Be the first to comment
Enjoyed this article?
Get it daily. 7am. Free. Reads in 5 minutes.
Join 3,569 builders reading daily.