How Bloomberg is Using Agentic AI for Complex Workflows

How Bloomberg is Using Agentic AI for Complex Workflows


With financial market decisions capable of moving billions in seconds, there is zero tolerance for any errors. Bloomberg’s latest update, announced at its AI in Finance Summit, optimises the investment process with the help of agentic AI.

The development is an evolution of Bloomberg’s existing conversational AI interface ASKB that redefines how financial professionals discover, analyse and act on information using the Bloomberg Terminal. 

Used by decision-makers for more than four decades, Terminal provides real-time access to news, data, insights and trading tools that help customers turn knowledge into investment decisions.

ASKB will transition from a simple search/discovery tool into an integrated engine for “institutional intelligence”, providing investors with the information they need to accelerate their work through a coordinated network of Bloomberg’s AI agents.

Wayne Barlow, Global Head of Terminal Products, says: “We are providing investors with an agentic AI engine that synthesises a comprehensive web of interconnected market data with a firm’s unique proprietary knowledge so they can hone their unique, alpha-generating perspectives.”

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