Bloomberg's AI Tool to Drive the Fintech Industry: Explained

The fintech industry has been gradually adopting Gen AI technologies to sift through the vast amounts of data that market participants must analyse daily.

Several major financial institutions have integrated Gen AI assistants into their research workflows, with varying degrees of success – as many early implementations suffered from accuracy issues and struggled with the nuanced language of financial documents.

Regulatory concerns about the reliability of AI-generated insights have also slowed adoption in certain market segments.

Tackling these challenges, Bloomberg has introduced AI-Powered Document Insights, a new tool that employs Gen AI to help research analysts and corporate executives extract information from company documents using natural language queries.

The system is one of the more ambitious attempts to apply conversational AI to financial document analysis from an established market data provider.

Bloomberg’s new A tool: Document Insights

The AI tool allows users to search and summarise financial documents through conversational queries, drawing on Bloomberg's experience in applying AI to financial information over the past 15 years.

Bloomberg Intelligence analysts participated in training the Gen AI models to understand financial terminology through Bloomberg's AI guardrail systems, which are designed to ensure accuracy and prevent hallucinations or fabricated responses.

The research solution enables clients to modify investment positions by rapidly analysing both text and structured data within company documents from Bloomberg's content repository.

This library includes more than 200 million company documents, more than 5,000 daily Bloomberg News stories on markets and economies and research content such as Bloomberg Intelligence reports covering thousands of companies.

Magdalena Richardson, Credit Trading Strategist at NatWest Markets Plc, says: “What I like about AI-Powered Document Insights is that it provides a great summary of a company's comments when asked a direct question.

“For example, within an earnings call transcript for an original equipment manufacturer, the solution can be asked about the impact of tariffs.

“I think this solution is a godsend on a day when you have multiple earnings calls and cannot attend them all or need to revisit a topic.”

The tool has received positive feedback from industry professionals who value its time-saving capabilities.

Thymen Rundberg, Equity Research Associate at ING, says: “What I find valuable is that AI-Powered Document Insights allows me to quickly find specific information within earnings call transcripts, saving me time versus manually searching through the document.

“The tool also allows me to stay up to date with more peers of companies in my coverage. This was definitely a more tedious task before.”
Bloomberg plans to expand the tool with additional document coverage, features and integrations.

The company has opened a beta programme for future research solutions enhanced by Gen AI.

Document Insights: Offering natural language queries for financial transcripts

The interface includes an 'Ask a Question' feature where users can explore investment hypotheses on themes such as tariffs or retrieve specific information about procurement costs.
The tool covers company documents and transcripts from various corporate events including:

• Earnings calls
• Conference presentations
• Investor days
• Capital markets days
• Shareholder meetings
• Merger and acquisition calls
• Sales results calls
• Guidance calls

The solution incorporates transparency links to highlight relevant excerpts in original documents and audio replays to capture the vocal tone of executives.

It also offers 'Key Notes', which provides a structured overview of topics Bloomberg has selected from company presentations.

Suzanne Szur, Research and Companies Product Manager at Bloomberg, says: “With AI-Powered Document Insights, we're delivering our customers a solution that is infused with financial domain knowledge.

“It's been developed in close collaboration with our customers and evaluated by our team of product, data and technology experts who understand the importance of responsible AI down to the design features.

“Very soon we'll launch additional research solutions to help financial professionals and their teams find unique insights, improve their research methods and develop investment strategies tailored to various time horizons in this uncertain macro environment.”

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