Tag: AI
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Why AI Demands Investment in Public Data Infrastructure and XBRL
When an AI chatbot tells an investor that revenue jumped 40%, but instead it fell, the issue probably isn’t the AI model, it’s most likely the fragmented, inconsistent, and poorly structured data it’s finding on the internet. Public datasets need…
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Digital Financial Reporting and AI
The question ‘Is Automatic XBRL Tagging Feasible Using AI and LLM systems’ is now common at XBRL conferences. Research suggests LLM systems achieve 79% accuracy when reading annual reports. However, XII research shows that using semantic tags from XBRL reports…
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What links Datapoints, Label Encoding, XBRL, and AI?
The notion that abstract encoding is bad for Large Language Models (LLMs), leads to the assumption that it must be unhelpful for human understanding. Generating encoded labels for various IT applications is essential, however it introduces special challenges for how…