This week sees the second entry in our blog series “Using LLMs to Analyse Narrative Disclosures.” This time, XBRL International’s Revathy Ramanan dives into how large language models (LLMs), combined with XBRL tagging, can reveal both common patterns and outliers in how companies discuss liquidity risk.
This week, XBRL International’s Revathy Ramanan kicks off a new blog series exploring how Large Language Models (LLMs) can be used to analyse narrative disclosures in structured reports using XBRL data.
This week, XBRL International moved the Open Information Model (OIM) from concept towards implementation with the publication of XBRL Taxonomy Model Requirements 1.0, a first, structured statement of what an OIM-based taxonomy model must deliver.
Tom Wacha, Director of XBRL Product Management at Workiva and a member of XBRL International’s Best Practices Board, has contributed a guest blog emphasising the importance of secure and robust test environments in XBRL reporting.
Sustainability reporting is at a crossroads. Countries around the world are adopting sustainability and climate reporting standards, but most of that information is trapped in PDFs. That means slower, more expensive analysis, and a missed opportunity to harness the full power of growing volumes of sustainability data.
There’s a myth doing the rounds: that in the era of AI, we no longer need structured data. That somehow, large language models can read a few PDFs and spit out perfect insights. It’s a nice idea—but it’s dangerously wrong.
This week in Oxford, a dozen expert volunteers from around the world joined forces with XBRL International staff for a pivotal Working Group meeting over three days, marking a significant milestone toward modernising the XBRL Taxonomy Specification.
Securities regulators and policy makers right around the world are pushing towards new mandatory ESG (or sustainability disclosures) for companies in markets large and small. The majority firmly intend that these new broader kinds of corporate reports will be digital.
The new Calculations 1.1 specification reached an important milestone this week with publication as a Proposed Recommendation. The new specification provides an incremental improvement on XBRL’s existing calculation functionality by providing better handling of rounded numbers.
XBRL International is seeking candidates for both the Nominations Committee and the Best Practices Board (BPB).
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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.
