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Learn how J.P. Morgan developed a multi-agent system architecture for investment research. David Odomirok and Zheng Xue reveal how they built "Ask David" - a sophisticated multi-agent AI system designed to automate investment research for thousands of financial products. Watch the full session here:

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LangChain

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32,327 Aufrufe • vor 1 Jahr •via X (Twitter)

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5 Kommentare

Profilbild von Agent Blueprint
Agent Blueprintvor 1 Jahr

@jpmorgan JPMorgan’s “Ask David” isn’t just a prototype. In 2025, it drove a 3.4x productivity leap, handled 28M trades/day, and redefined how AI scales across real capital markets. $18B+ invested, AI is now core infra.

Profilbild von Alger
Algervor 1 Jahr

Looking to invest in the Enablers and Adopters of AI? Consider an actively managed fund investing in companies actively involved in developing and implementing AI technologies.

Profilbild von Vishal
Vishalvor 1 Jahr

@jpmorgan Great example of how multi-agent systems can handle complex, high-stakes tasks like investment research.

Profilbild von snehil prakash
snehil prakashvor 1 Jahr

Fascinating insight into @jpmorgan's 'Ask David' system! The use of a multi-agent architecture for investment research is a game-changer. It’s impressive how it aims to automate and enhance efficiency while handling high-stakes financial data. The integration of LangChain's capabilities here is particularly intriguing. Looking forward to seeing how this scales and impacts the broader financial sector.

Profilbild von Josh
Joshvor 1 Jahr

@jpmorgan And what they aren't on x haha

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