What if you could instantly see how a company’s story has changed from one year to the next? The final installment in our blog series on large language models (LLMs) and narrative disclosures explores exactly that question, showing how LLMs can be combined with structured XBRL data to compare narrative disclosures across reporting periods.
Artificial intelligence may be the most talked-about force in finance right now, but behind the buzz lies a more complicated reality. In a recent article, Sebastian Reinhard of Caleo argues that large language models (LLMs) promise transformative gains in financial planning yet without structure, governance and domain expertise, they risk delivering more noise than value.
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