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AIStructured DataXBRL

Stop Feeding AI Junk – How XBRL-MCP Can Deliver Clean Business Data

By Editor on July 17, 2025

This guest opinion piece is from Janis Steinman. Janis is the Head of XBRL at Lucanet, a leading software house that provides CFO Solution Platforms to enterprises across the world. He is also the Chair of  XBRL International’s Best Practices Board. Janis has collaborated in developing this article with José Antonio Huizar Moreno, the CEO […]

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Steps to a New Reality: Navigating Challenges in AI-Enhanced XBRL Analysis

By Editor on July 8, 2025

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

By John Turner on June 19, 2025

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

By Editor on June 17, 2025

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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AIAI+XBRLseriesAnalysisAnalyticsLLM

AI and XBRL: New Horizons in Regulatory Data Analysis

By Editor on May 29, 2025

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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AIAnalysisAnalyticsLLMXBRL

A Getting Started Guide: Experimenting with LLMs for XBRL Analysis

By Revathy Ramanan on April 24, 2025

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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AIStructured DataTaggingXBRL

AI and Digital Tagging in Sustainability Reporting: From Magic to Reality

By Editor on April 22, 2025

This is an article by Donato Calace (SVP of Innovation and Accounts at Datamaran), in collaboration with John Turner (CEO at XBRL International) and Jérôme Basdevant (CTO and co-founder at Datamaran). It was originally published by Datamaran here, and is republished by their kind permission. As corporate sustainability reporting requirements have evolved, digital tagging and […]

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LLMTaxonomyXBRL

Leveraging LLMs for Smarter Taxonomy Interactions

By Revathy Ramanan on February 20, 2025

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 AI needs XBRL

By John Turner on February 20, 2025

By John Turner, CEO of XBRL International, based on an original post on LinkedIn.  XBRL is outdated? That’s news to AI—and suggestions from some preparers that AI can replace XBRL remain wildly optimistic! Reality check: AI without structured data is like a self-driving car without roads, maps and experience on the road. It might get […]

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AITaxonomyXBRL

Why Structured Data and Definitions Vastly Outperform Unstructured PDFs in LLM Analysis

By Revathy Ramanan on December 19, 2024

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. Large language models like ChatGPT are fascinating. They’re transforming how we understand and interact with data – and I’ve been particularly curious to explore how we can use LLMs […]

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