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Items tagged with "AI"

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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Data Amplified: structured data is crucial in a changing landscape

Data Amplified: structured data is crucial in a changing landscape

We’re back after an amazing three days in Madrid at Data Amplified 2024. We enjoyed an incredible range of fresh ideas, updates and discussions.

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FSB report highlights AI

FSB report highlights AI’s financial stability implications and data challenges

The Financial Stability Board (FSB) has released a new report assessing the implications of artificial intelligence (AI) for the financial sector.

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OECD and FSB roundtable explores AI’s growing role in finance

In May 2024, the Organisation for Economic Co-operation and Development (OECD) and the Financial Stability Board (FSB) hosted a roundtable on the adoption of AI in finance, bringing together experts from both the public and private sectors. Discussions focused on the opportunities AI presents, as well as the risks it introduces to the financial industry.

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AICPA addresses ethics of AI in audits

The American Institute of Certified Public Accountants (AICPA) recently hosted its latest A&A Focus webcast, diving into the ethical implications of using artificial intelligence (AI) in audit procedures. The event, part of a monthly series, featured insights from leading experts on accounting, auditing, and assurance.

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AI and XBRL: automatic tagging?

In the newest article in a recent swathe of research into XBRL and AI, UBPartner (long time XBRL software vendor and member) has explored the potential for natural language processing (NLP) to automate the identification and tagging of key information in annual reports.

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FSB highlights importance of data quality in AI for financial stability

US Treasury Official Nellie Liang, Chair of the Financial Stability Board (FSB) Standing Committee on Assessment of Vulnerabilities, addressed the OECD-FSB Roundtable on Artificial Intelligence in Finance. Liang emphasised the transformative potential of AI in finance, however she also highlighted the need for robust data quality to manage the risks associated with AI deployment.

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