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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.
Bloomberg is bringing to finance what ChatGPT brought to everyday general purpose chatbots. The paper that Bloomberg released reveals the great technical depth of its BloombergGPT machine learning model, applying the type of AI techniques that GPT uses to financial datasets.
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.
Explore our areas of focus. While we're big believers in using the right tools for the job, the majority of our software is built in C++, JavaScript/TypeScript and Python.
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.
To advance the state of the art in AI, ML, and NLP, Bloomberg invests in the careers of doctoral students and their research in information retrieval, recommender systems, question answering, time series analyses, summarization, knowledge graphs, interpreting tabular data, and language models.
Introduction: My name is Trent Wehner, I am a talented, brainy, zealous, light, funny, gleaming, attractive person who loves writing and wants to share my knowledge and understanding with you.
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