XBRL International’s own Revathy Ramanan dives into the potential of GPT-4 for analysing narrative disclosures in XBRL data this week. As machine learning and generative AI continue to advance, they present new opportunities for understanding complex business performance data.
New technologies such as machine learning and generative AI are creating exciting new opportunities for understanding business performance. In particular, they can crack open relatively intractable data that is difficult to analyse conventionally, making it easier to access new insights without deep technical knowledge. In my last blog post I began to explore how GPT-4 […]
Earlier this month, Commissioner Jaime Lizárraga addressed the Eleventh Annual Conference on Financial Market Regulation in Washington D.C., emphasising the importance of economic analysis in the work of the US Securities and Exchange Commission (SEC).
The Financial Stability Board (FSB) Regional Consultative Group for Asia (RCG Asia) met in Colombo to discuss financial market developments, including the implications of artificial intelligence (AI) and climate change on financial stability.
In an increasingly online world, the need to verify legal entities accurately is paramount. Enter artificial intelligence (AI), a transformative technology that holds the promise of automating entity verification and monitoring, thereby reducing the risk of fraud and criminal activities.
In response to evolving challenges in the financial landscape, the International Organisation of Securities Commissions (IOSCO) has unveiled its updated work plan for 2024. This revised plan introduces fresh initiatives aimed at addressing emerging trends, including, among others, artificial intelligence (AI) and green finance.
Or at least that’s the message from a recent Forbes article written by Kevin Campell, CEO at Syniti. In an era of digital transformation, organisations worldwide are recognising the pivotal role of data in driving innovation and achieving business success.
Breakthrough analytics are just around the corner, as innovators bring AI and XBRL together. AI is an incredible tool for turning data into ideas – but good ideas need good data. XBRL brings accuracy to the table while AI brings efficiency, adding up to a revolution in business analysis. XBRL data strengthens AI models and […]
A recent report by Forrester reveals that data quality is now the primary factor limiting the adoption of generative artificial intelligence (GenAI) across industries. Since the emergence of GenAI, particularly with the release of ChatGPT in 2022, businesses have been eager to explore its potential for various use cases.
James Benford, Executive Director for Data and Analytics Transformation and Chief Data Officer at the Bank of England, recently outlined the Bank’s ongoing journey to refresh its data and analytics strategy.
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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.
