Research Analysts & Corporate Decision Makers Can Ask Complex Questions within Company Documents

NEW YORK, April 7, 2025 /PRNewswire/ — Bloomberg today announced the launch of AI-Powered Document Insights which uses generative AI to make it easier for research analysts and corporate decision makers to quickly surface insights from a company document by asking questions in everyday conversational language. This innovative research solution is an evolution of Bloomberg’s AI-Powered Earnings Call Summaries, complements AI-Powered News Summaries, and links seamlessly with Bloomberg’s other purpose-built analytical tools and workflows as part of the company’s mission to reimagine the Bloomberg Terminal for the age of AI.

AI-Powered Document Insights provides users with robust search and summarization capabilities made possible by Bloomberg’s decades of expertise and more than 15 years of leadership in applying AI in the financial domain. Bloomberg Intelligence analysts helped train the generative AI models so they more accurately understand the nuances of financial language by using Bloomberg’s AI guardrail systems. The research solution enables customers to adjust their positions and investment views on a company by quickly analyzing text and structured data within a company document from a vast library of trusted and premium content. This research library on the Bloomberg Terminal includes more than 200 million company documents, more than 5,000 Bloomberg News stories published each day on the markets, economies, industries, and companies that matter, as well as research content like Bloomberg Intelligence reports which cover thousands of companies.

Magdalena Richardson, Credit Trading Strategist at NatWest Markets Plc, said: “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.”

Thymen Rundberg, Equity Research Associate at ING, said: “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 will continue to use generative AI to enhance research solutions like AI-Powered Document Insights with additional document coverage, product features and integrations to help customers discover more answers and actionable insights with a user experience that is easy and comprehensive. Click here to request to join the beta program for our future research solutions enhanced by generative AI. 

Starting today, customers can explore the new interface and its features like ‘Ask a Question’, where users can either explore their hypothesis about developing investment themes like “tariffs” or retrieve specific information like “procurement costs.” The feature covers company documents and transcripts for earnings calls, conference presentations, investor days, capital markets days, shareholder meetings, M&A calls, sales results calls, guidance calls, and more. The solution also incorporates transparency links to highlight relevant excerpts in the original document and audio replays to hear the tone and tenor of executives and corporate spokespeople. ‘Key Notes’ provides a structured overview of Bloomberg selected topics raised in company presentations.

Suzanne Szur, Research and Companies Product Manager at Bloomberg, said: “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.”

Bloomberg’s research solutions help transform the investment research and analysis process so clients can add actionable resources to their data and tech stacks for single-desktop and enterprise-wide use. Clients can optimize their research offering so that trusted and consistent data is deeply integrated into research and production workflows throughout their enterprise, and their unique views are quickly distributed to counterparties. Bloomberg’s research solutions provide organizations access to consistent, high-quality data and analytics from Bloomberg as well as hundreds of valued content partners.

For teams of quants, research analysts and data scientists, Investment Research Data products offer end-to-end solutions to power workflows across the enterprise. This enables firms to test their investment hypotheses rigorously with granular data across asset classes and deep point-in-time history. The datasets are seamlessly interconnected with other content, including alternative data for both public and private companies, and available via a number of flexible delivery mechanisms, including the cloud. Bloomberg’s Research Management Solutions (RMS) Platform is also designed to optimize the research process by driving front-office efficiency, facilitating collaboration around ideas and throughout the investment lifecycle. Bloomberg’s RMS is also interoperable with Bloomberg’s other enterprise products, including portfolio and risk analytics offerings and leading order and investment management technology solutions, for a more comprehensive, end-to-end workflow.

About AI at Bloomberg
Since 2009, Bloomberg has been building and using artificial intelligence (AI) in the finance domain – including machine learning (ML), natural language processing (NLP), information retrieval (IR), time-series analysis, and generative models – to help process and organize the ever-increasing volume of structured and unstructured financial information. With this technology, Bloomberg is developing new ways for financial professionals and business leaders to derive valuable intelligence and actionable insights from high-quality financial information and make more informed business decisions.

About the Bloomberg Terminal
For more than four decades, the Bloomberg Terminal has revolutionized the financial services industry by bringing transparency and innovation to the capital markets. Trusted by the world’s most influential decision-makers, the Terminal provides real-time access to news, data, insights and trading tools that help our customers turn knowledge into action.

About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. For more information, visit Bloomberg.com/company or request a demo.

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SOURCE Bloomberg L.P.