JPMorgan to Expand Use of AI Tool 'Moneyball' to Enhance Investment Decisions

By Madz Dizon

Jun 02, 2024 11:59 PM EDT

JPMorgan to Expand Use of AI Tool 'Moneyball' to Enhance Investment Decisions
People pass a sign for JPMorgan Chase & Co. at it's headquarters in Manhattan on October 2, 2012 in New York City.
(Photo : Spencer Platt/Getty Images)

According to company officials, JPMorgan intends to broaden the implementation of a generative AI tool in the near future. 

JPMorgan's 'Moneyball' Tool Aims to Enhance Decision-Making

This tool is designed to identify questionable decisions made by portfolio managers, such as the possibility of selling high-performing stocks prematurely.

According to Kristian West, head of JPMorgan Asset Management's investment platform, the tool, known as "Moneyball," aims to provide portfolio managers with insights into their own behavior and market trends in similar situations, enabling them to address biases and enhance their decision-making process.

"Moneyball" is a pilot program currently in development and included in JPMorgan's Spectrum portfolio management platform. As stated in the report, the program uses 40 years of data.

According to Yahoo, the financial sector is witnessing a shift in the use of AI, moving beyond routine tasks such as compliance or marketing and towards roles that can assist in decision-making.

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Virtual Analyst Bolsters Voya's Risk Assessment, Stock Monitoring

The JPMorgan tool is an essential component of the Spectrum portfolio management platform, fueled by decades of data. 

Currently in development, this pilot program will soon be expanded to a wider group of portfolio managers.

Voya Investment Management has successfully implemented a virtual analyst to enhance its stock monitoring capabilities, the Financial Times reported.

This addition complements their team of human researchers, further strengthening their risk assessment capabilities. 

Portfolio managers can access a dashboard to view a human analyst's review of securities alongside AI feedback, which can help identify potential issues with a stock.

According to Gareth Shepherd, Voya's co-head of machine intelligence, the AI analyst has shown a favorable balance of accurate and inaccurate decisions, making its alerts highly valuable. 

He compared the process to a pilot and co-pilot interpreting signals from an airplane's flight management system.

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