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.
XBRL International’s own Revathy Ramanan dives into the potential of GPT-4 for analysing narrative disclosures in XBRL data this week. As machine learning and generative AI continue to advance, they present new opportunities for understanding complex business performance data.
Earlier this month, Commissioner Jaime Lizárraga addressed the Eleventh Annual Conference on Financial Market Regulation in Washington D.C., emphasising the importance of economic analysis in the work of the US Securities and Exchange Commission (SEC).
In an increasingly online world, the need to verify legal entities accurately is paramount. Enter artificial intelligence (AI), a transformative technology that holds the promise of automating entity verification and monitoring, thereby reducing the risk of fraud and criminal activities.
Or at least that’s the message from a recent Forbes article written by Kevin Campell, CEO at Syniti. In an era of digital transformation, organisations worldwide are recognising the pivotal role of data in driving innovation and achieving business success.
Breakthrough analytics are just around the corner, as innovators bring AI and XBRL together. AI is an incredible tool for turning data into ideas – but good ideas need good data. XBRL brings accuracy to the table while AI brings efficiency, adding up to a revolution in business analysis. XBRL data strengthens AI models and […]
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 […]
One item in particular over the holiday break caught our attention. Research by Patronus AI highlighted apparent challenges faced by large language models (LLMs), such as OpenAI’s GPT-4, in analysing financial data contained in US Securities and Exchange Commission (SEC) filings.
Continuing the theme, the Financial Reporting Council (FRC) recently released a research report delving into the increased uptake of Artificial Intelligence (AI) and Machine Learning (ML) in the UK actuarial landscape.
US Securities and Exchange Commission (SEC) Commissioner Mark T. Uyeda recently addressed the 2023 NASAA Fall Annual Meeting, emphasising the role of innovation and technology in modernising investor protection.
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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.
