Analysts Can Harness Generative AI to Elevate their Investment Thesis and Quickly Draw Connections across the Terminal
Bloomberg announced the availability of AI-Powered Earnings Call Summarieson the Terminal, which uses the pragmatic application of artificial intelligence to help analysts with their research process. The new tool enables users to decipher complex financial information and quickly extract key insights on topics addressed by corporate management teams, such as guidance, capital allocation, hiring and labor plans, the macro environment, new products, supply chain issues, and consumer demand.
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AI-Powered Earnings Call Summaries is designed with a unique approach that combines decades of domain expertise with state-of-the-art generative AI. Bloomberg Intelligence analysts help train the large language models used in this solution to more accurately understand the nuances of financial language and anticipate what’s most important to investors.
Summary points are also enriched with context links so analysts can discover related information across the Terminal, such as in Company Financials {MODL<GO>}, Bloomberg Dividend Forecast {BDVD<GO>} and Supply Chain Analysis {SPLC<GO>}. For more transparency, the solution also makes it possible for users to click on each point in the summary sidebar to easily jump to the corresponding excerpts in the call transcript.
Joyce Meng, Managing Director and Partner at Fact Capital, said: “Most of my team’s job is reading and synthesizing trends across companies, so the quality and accuracy of the summarization tool gives us a big edge. Bloomberg’s AI-Powered Earnings Call Summaries makes it easy to read coverage across ancillary and adjacent companies. It also distills the contentious points so we know where in the material to look for insights on the important debates.”
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Zach Smith, Research Analyst at Bahl & Gaynor, Inc., said: “At our dividend-focused investment firm, integrating Bloomberg’s AI-Powered Earnings Call Summaries into our analysis expedites our assessment of potential dividend changes. This innovation will empower us to cut through excess information in earnings calls, identify key insights for dividend analysis and explore new investment opportunities.”
Andrew Skala, Global Head of Research, Listed Core Services Product at Bloomberg, said: “With our release of AI-Powered Earnings Call Summaries, we continue to revolutionize the research process by serving customers solutions that combine deep financial domain knowledge, technology expertise and world-class content. With these innovations, we are empowering analysts with critical tools and integrated workflows for their research journey.”
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AI-Powered Earnings Call Summaries complements Document Search {DS<GO>}, the Bloomberg Terminal function which employs natural language processing to help users search across hundreds of millions of trusted company and industry documents with speed and precision. Both solutions reduce the burden of discovering the most salient points in earnings call transcripts – a crucial source for decision-making information – and are built into Bloomberg’s suite of Research Management Solutions.
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