Using AI to analyse XBRL reports?
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Items tagged with "LLM"
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Supercharging AI with structured data
Artificial intelligence is very good at producing answers. The problem is, without structured data, it often doesn’t know if those answers are right.
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Steps to a New Reality: Navigating Challenges in AI-Enhanced XBRL Analysis
This guest opinion piece is the third in a series from Björn Fastabend, bringing us a regulator’s perspective alongside a wealth of experience in digital reporting. Björn is head of the XBRL collection and processing unit at BaFin, Germany’s Federal Financial Supervisory Authority, where he supervises all related activities and leads the implementation of strategic […]
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Beyond the Hype: How Structured Data Can Save AI Financial Analysis
XBRL International CEO John Turner on the need for digital analytics to be grounded in traceable, high quality, digital data. AI is coming for financial analysis, and it’s coming fast. Will that mean actionable insights or a hot mess of guesswork and hallucinations – and how do we know? In the last couple of weeks […]
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From Data to Insights: AI-Powered XBRL Analysis in Practice
This guest opinion piece is the second in a series from Björn Fastabend, bringing us a regulator’s perspective alongside a wealth of experience in digital reporting. Björn is head of the XBRL collection and processing unit at BaFin, Germany’s Federal Financial Supervisory Authority. He is also a member of XBRL International’s Board of Directors, and […]
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AI and XBRL: New Horizons in Regulatory Data Analysis
This guest opinion piece is the first in a series from Björn Fastabend, bringing us a regulator’s perspective alongside a wealth of experience in digital reporting. Björn is head of the XBRL collection and processing unit at BaFin, Germany’s Federal Financial Supervisory Authority, where he supervises all related activities and leads the implementation of strategic […]
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A Getting Started Guide: Experimenting with LLMs for XBRL Analysis
The exciting potential of using Large Language Models (LLMs) to analyse financial data, especially structured data like XBRL reports, is becoming increasingly apparent. Imagine asking an LLM to summarise key financial insights directly from an XBRL document – this is the kind of experiment many are eager to begin. However, those embarking on this venture […]
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Leveraging LLMs for Smarter Taxonomy Interactions
This article by XBRL International Guidance Manager Revathy Ramanan is based on her presentation at Data Amplified 2024. You can also watch the original video here. In previous blogs, I’ve explored how we can leverage large language models (LLMs) like ChatGPT to significantly facilitate and enhance the analysis of XBRL reports, including both numeric data and […]
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Why structured data leaves PDFs far behind in AI analysis – and the power of XBRL taxonomies
Large language models (LLMs) like ChatGPT are transforming the way people work across the globe – and we’re all keen to know what they can do with XBRL reports.
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AI and XBRL: automatic tagging?
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.
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