In the newest article in a recent swathe of research into XBRL and AI, UBPartner (long time XBRL software vendor and member) has explored the potential for natural language processing (NLP) to automate the identification and tagging of key information in annual reports.
New technologies such as machine learning and generative AI are creating exciting new opportunities for understanding business performance. In particular, they can crack open relatively intractable data that is difficult to analyse conventionally, making it easier to access new insights without deep technical knowledge. In my last blog post I began to explore how GPT-4 […]
A couple of weeks ago we commented unfavourably on the use of PDF versions of SEC filings as inputs to Large Language Models (LLMs). We are much more interested in how these tools can be leveraged to examine structured data.
A couple of weeks ago, in the XBRL International newsletter, we commented unfavourably on the use of PDF versions of SEC filings as inputs to Large Language Models (LLMs). We are much more interested in how these tools can be leveraged to examine structured data, such as the Inline XBRL formatted structured filings provided to […]
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XBRL International is a global not for profit operating in the public interest. Our purpose is to improve the accountability and transparency of business performance globally, by providing the open data exchange standard for business reporting.
