Summaries and sentiment analysis
AI and GPT large language models are capable of synthesizing vast quantities of information, and summarizing and condensing it. With Bloomberg AI, firms can supercharge productivity by using those capabilities to make reading and writing reports easier.
BloombergGPT is capable of telling users what’s happening on any topic, at any time. Using BloombergGPT to get bullet-point lists summarizing market-impacting events, for example, can drastically diminish the time it takes to put together reports.
Another thing Bloomberg customers often want to synthesize and summarize are their chats, which are a goldmine of information. BloombergGPT can not only summarize chats, but also extract trade economics and other useful information housed within them.
BloombergGPT can also do sentiment analysis — across both news and social media — in any number of portfolio monitoring, risk monitoring, and alpha generation applications. (Sentiment scores, for example, can be used to quickly identify which stocks in a firm’s portfolio have the most negative sentiment.)