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Items tagged with "AI"

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Making sense of the black box

Making sense of the black box

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.

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AI in insurance: keeping it safe

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.

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Will LLM’s make for smarter taxonomies? 

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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XBRL is outdated? 

AI can replace structured data? That’s news to AI. Hear from XBRL International CEO John Turner on exactly why AI needs XBRL in his latest post. “XBRL isn’t a burden; it’s the fuel for AI-powered analysis, ensuring accuracy, comparability, and decision-usefulness,” he says.

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Why AI needs XBRL

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  XBRL is outdated?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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AI can enhance XBRL reporting – but it can’t replace it

The idea that AI doesn’t need XBRL is a bit like saying that a self-driving car doesn’t need roads. It just doesn’t make sense. Yet with the European Commission’s Omnibus proposals sparking debate over regulatory simplifications, there are suggestions that companies don’t need to digitise their reports — perhaps AI can extract financial and sustainability […]

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2024 in review: taxonomies, AI and the central importance of structured data

Our review of 2024: three major sustainability taxonomies, AI’s move to centre stage, and why the big endeavours ahead make structured data essential.

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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 impact and a bridge to the future: keynote reflections from Joe Atkinson

The turn of the year is a great time to look both back and ahead and that makes it a great time to report in more detail on the keynote speech by Joe Atkinson, Global Chief AI Officer at PwC, at Data Amplified 2024.

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

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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