By David Tauriello, Vice President of Operations, XBRL US It’s generally accepted that structured data improves analysis. Recent advances in artificial intelligence mean getting machines to find and access machine-understandable structured data is also getting better. Structured data is the foundation of trustworthy AI. – Jensen Huang, President & CEO, Nvidia This post touches on four topics […more]
By Campbell Pryde, President and CEO, XBRL US This is the third in our blog series describing the proposed features of the OIM Technical Specification. Our last blog described the importance of the enhanced specification to optimize the performance of LLMs. The new specification is also designed to drive greater efficiency in the reporting and […more]
By Scott Theis, President/CEO, Novaworks; Chair, XBRL US Domain Steering Committee (DSC); Leader, XBRL Technical Advisory Committee for XBRL US (XTAC); Member, XBRL Standards Board and OIM Working Group. In our last blog, Modernizing XBRL, we explored why the time is right to simplify and modernize the XBRL technical specification. One of the strongest forces […more]
By Scott Theis, President/CEO, Novaworks; Chair, XBRL US Domain Steering Committee (DSC); Leader, XBRL Technical Advisory Committee for XBRL US (XTAC); Member, XBRL Standards Board and OIM Working Group. XBRL is modernizing and simplifying. The XBRL community has begun laying the groundwork for a new XBRL technical specification that can be put in place to […more]
Agency-specific FDTA rules need to make sure the data they collect is AI-ready. AI shines when given access to richly contextualized, standardized, structured data and identifiers. While Large Language Models (LLMs) can source any kind of data, structured or unstructured, for financial analysis and research that demands a high degree of accuracy, structure and standardization […more]
The national consortium for
the business reporting standard
