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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.
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.
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.
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.
When you look at the double- and triple-digit gains artificial intelligence (AI) stocks have posted in recent times, you may think the opportunity to invest in them is over. But it's important to remember that we're in the early days of the AI growth story.
Investors considering buying a company's stock would be wise to listen to the most recent earnings call to make sure its share price and what's been publicly reported meshes with what management says.
Artificial intelligence (AI) disciplines, such as natural language processing (NLP) and machine learning (ML), play a central role at Bloomberg. We have always relied on text as a key underlying source of data for our clients.
The server side of the terminal was originally developed using mostly the programming languages Fortran and C. Recent years have seen a transition towards C++ and embedded JavaScript on the clients and servers. Each server machine runs multiple instances of the server process.
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.
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