We know AI is powerful. It promises big: critical insights from overwhelming data volumes, actionable findings from vague hunches, and the answers to the questions you didn’t even know you needed to ask.
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 […]
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 […]
The UK Financial Conduct Authority (FCA) has unveiled its boldest move yet to support AI in financial services: a new “Supercharged Sandbox” developed in partnership with tech heavyweight NVIDIA. Announced earlier this week, the initiative gives firms a secure space to experiment with artificial intelligence—equipped with top-tier computing power, better data, and tailored regulatory guidance.
AI is coming fast—and so are the questions. Who’s responsible when it goes wrong? What’s good practice in a sea of grey areas? And how do we harness the tech without losing public trust?
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 […]
Everyone’s experimenting with AI. LLMs are being thrown at everything (from earnings calls to ESG scoring to automated due diligence) and there’s a growing sense that we’re on the edge of something transformative in financial 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 […]
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 […]
There’s a myth doing the rounds: that in the era of AI, we no longer need structured data. That somehow, large language models can read a few PDFs and spit out perfect insights. It’s a nice idea—but it’s dangerously wrong.
Join our Newsletter mailing list to
stay plugged in to the latest
information about XBRL around the world.
By clicking submit you agree to the XBRL International privacy policy which can be found at xbrl.org/privacy
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.
