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Bloomberg today announced the availability of AI-Powered Earnings Call Summaries on the Bloomberg Terminal®, which uses the pragmatic application of artificial intelligence (AI) to help analysts with their research process.
Bloomberg's AI-Powered Earnings Call Summaries use generative AI and extensive financial domain expertise to help analysts quickly extract vital information. The tool integrates seamlessly with Bloomberg Terminal functions, offering enriched context links and allowing users to delve into specifics with ease.
Training a large language model like BloombergGPT is costly (in the order of $3M) and takes several days to finish. One can note that it is highly costly to retrain an LLM like BloombergGPT. FinGPT is an alternative lightweight adaptation of a financial large language model.
The Bloomberg Terminal revolutionized an industry by bringing transparency to financial markets. More than four decades on, it remains at the cutting edge of innovation and information delivery — with fast access to news, data, unique insight and trading tools helping leading decision makers turn knowledge into action.
Python is one of the most used languages at Bloomberg, with more than half a million Python files and over 100 million lines of code. In less than a decade, we've gone from taking our first steps with the language to being one of the leading contributors to its evolution.
We put the power of artificial intelligence technologies like natural language processing (NLP) and machine learning in your hands. Bloomberg is a leader in using new technologies to derive new data insights and give users the best possible experience in our products.
Bloomberg Server API (SAPI) delivers a powerful complement to the Bloomberg Terminal. SAPI allows you to consume Bloomberg's unique real-time market, historical, and key reference data, as well as calculation engine capabilities when using proprietary and third-party applications.
Bloomberg Automated Intelligence (BAI) is a fully automated news service that explores Bloomberg's vast proprietary data sets to identify market irregularities.
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Introduction: My name is Rev. Porsche Oberbrunner, I am a zany, graceful, talented, witty, determined, shiny, enchanting person who loves writing and wants to share my knowledge and understanding with you.
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