A discussion among Data Foundation Senior Fellows Liv Watson and Catherine Atkin and Michelle Savage of XBRL US about the proposal to adopt structured, standardized, machine-readable reporting via a semantic data model to improve interoperability, support investors and policymakers, enhance AI use through better context, and reduce a growing patchwork of regulations. Listen to the discussion.
AI and Data Standards Forum:
Optimizing Performance
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AI and Structured Data Forum: Optimizing Performance
Domain Steering Committee Meeting
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Structured Data Case Studies: Unlocking the Power of XBRL for Next-Generation Financial Analysis
Public Review for Version 30 of DQC Rules
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