Applied Uses of AI for Investment Insights and Operational Efficiency

With the dawn and rapid evolution of artificial intelligence and machine learning, financial institutions waste no time innovating with the technologies and techniques. This is particularly true in buyside investing with significant elements of quantitative discipline, including JPMorgan Asset Management (JPMAM).

The breadth of the innovations touches a wide spectrum of investment processes, including but not limited to robust technology operation with pre-emptive issue identification, innovative and efficient product construction for passive strategies, and forward-looking detection of market rotations, as well as systematic prediction of alpha opportunities for active businesses.

In this talk, David will discuss thematically the applied uses of AI and ML technology that help generating operation efficiencies and investible insights for JPMAM clients. This discussion will feature a brief demo live in visualizing the techniques deployed.