AI in Finance: Leveraging Large Language Models for Decision Making
As sophisticated AI systems continue maturing, they are fundamentally changing how financial information is processed, analyzed and interpreted.
The past year has seen significant advancements in the capabilities of large language models (LLMs), particularly in their applications within the financial industry. As these sophisticated AI systems continue maturing, they are fundamentally changing how financial information is processed, analyzed and interpreted. In this article, we'll take a deeper look at some of the most impactful ways LLMs are enhancing efficiency, boosting predictive power and supporting informed decisions across quantitative and discretionary investing.
Making Sense of Unstructured Data
One of the biggest challenges finance firms face is gleaning useful insights from the massive volumes of unstructured text data they deal with on a daily basis, such as regulatory filings, news articles, earnings calls and social media posts. Traditional natural language processing (NLP) techniques often fall short in comprehensively analyzing and contextualizing the complex meanings and relationships within such documents. Th…