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 […]
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.
This week’s SEC and FASB webinar brought together leaders from across the structured reporting ecosystem, with a standout session on AI moderated by XBRL International CEO John Turner.
This week, Datamaran published an interview with John Turner, CEO of XBRL International (XII), and Jérôme Basdevant, CTO and co-founder of Datamaran, tackling a hot topic: is AI set to replace digital tagging in ESG reporting?
Regulators are used to financial shocks unfolding over weeks or months. That timeline is gone.
Four years ago, AI in capital markets was a promising experiment. Now, it’s fundamental. From robo-advising and algorithmic trading to fraud detection and regulatory compliance, AI is becoming embedded in financial markets.
AI is everywhere, and it’s getting smarter. But can we trust it? That’s the million—perhaps billion—pound question, and the AI assurance industry is racing to keep up.
The European Insurance and Occupational Pensions Authority (EIOPA) has launched a consultation on its Opinion on Artificial Intelligence (AI) governance and risk management, offering guidance on how insurers should manage AI within existing sectoral regulations.
How can large language models (LLMs) improve the way we work with XBRL taxonomies? In her latest blog, XBRL International Guidance Manager Revathy Ramanan explores how AI-powered tools can support taxonomy authors and software vendors, improving taxonomy quality, clarity, and usability.
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