Over the summer, the Open Data Institute (ODI) released a new framework outlining what makes data truly AI-ready. It boils down to three pillars: the quality of the data itself, rich metadata, and robust infrastructure. And the good news: XBRL already has most of these requirements embedded in its capabilities and ecosystem practices.
What happens when artificial intelligence meets digital sustainability reporting? The latest collaboration between OpenEarth Foundation and XBRL International offers a glimpse into that intersection. Together, we explored how AI can interpret XBRL-tagged sustainability data, enhancing the way information is analysed, compared and turned into insight.
The Financial Reporting Council (FRC) has tapped Lancaster University to lead a new deep-dive into how artificial intelligence is transforming corporate reporting. Launched last week, the project will explore how technologies like machine learning, automation and generative AI are being used to compile, analyse, and communicate financial and sustainability disclosures.
Interesting post from Rob Riche of Friends Studio this week. The convergence of AI and structured data is creating entirely new opportunities for financial reporting, and in the UK and Europe, ESEF is positioned at the heart of this transformation.
As negotiations on the final rules under the Corporate Sustainability Reporting Directive (CSRD) continue, some Members of the European Parliament are asking whether artificial intelligence (AI) could replace digital reporting.
This article was originally published on LinkedIn here. AI is an extraordinarily important new technology, but it is not a magic wand. As the CSRD negotiations enter their last stages, some MEPs are wondering whether AI can replace digital reporting. The answer is ‘no’, but it is its natural complement. As the EU seeks to encourage […]
Sustainability reporting is at a crossroads. Countries around the world are adopting sustainability and climate reporting standards, but most of that information is trapped in PDFs. That means slower, more expensive analysis, and a missed opportunity to harness the full power of growing volumes of sustainability data.
AI might grab the spotlight, but data runs the show. Without structure, even the most advanced models are guessing rather than learning. Canon’s Norihiro (Nick) Katagiri made that point clearly in a recent iTNews Asia interview, reminding businesses that successful AI depends on solid, well-organised data from the start.
Dr Maria Mora, Head of Innovation & Digital Strategy at Fujitsu Spain and a member of XBRL International’s Board of Directors, offered a compelling takeaway from this week’s IFRS Taxonomy Consultative Group (ITCG) meeting in London: the era of intelligent reporting is here, and XBRL is its foundation.
SRC Digital Insurance Services has launched a research initiative to explore whether artificial intelligence can reliably convert US Department of Transportation (DOT) “Application for Payment” PDF reports into XBRL data.
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XBRL International is a global not for profit operating in the public interest. Our purpose is to improve the accountability and transparency of business performance globally, by providing the open data exchange standard for business reporting.
