Please make sure your browser supports JavaScript and cookies and that you are not blocking them from loading. For more information you can review our Terms of Service and Cookie Policy.
Need Help?
For inquiries related to this message please contact our support team and provide the reference ID below.
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 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.
AI document summarization often employs algorithms that prioritize important sentences, phrases, or concepts based on factors such as relevance and frequency within the text. The goal is to extract the most relevant information from a given document while preserving the key meaning and context.
Bloomberg's version of ChatGPT has arrived. On Friday, Bloomberg announced that it had launched a large-scale artificial intelligence model that has been trained on financial data to improve preexisting natural language processing tasks, such as sentiment analysis and news classification.
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.
General-purpose technology, in economics. Generalized probabilistic theory, a framework to describe the features of physical theories. Grounded practical theory, a social science theory.
AI-Powered Earnings Call Summaries are a key productivity tool to stay on top of what's important and glean deeper insights across the coverage scope. The summaries highlight the key topics addressed by management, such as guidance, capital allocation, labor plans and the macro environment.
FactSet's chatbot can analyze earnings calls in moments, then users can ask it bespoke questions or pre-populated ones. In response, the tool will summarize specific sections of an earnings report and comments from speakers, as well as highlight key data and surface related trends and themes.
Booknotes is a mobile app that uses artificial intelligence to summarize books and extract key ideas, quotes, and actionable items. The app allows users to get the main points from books without having to read the full text.
Introduction: My name is Lakeisha Bayer VM, I am a brainy, kind, enchanting, healthy, lovely, clean, witty person who loves writing and wants to share my knowledge and understanding with you.
We notice you're using an ad blocker
Without advertising income, we can't keep making this site awesome for you.