By Mark Ward, Applications Manager, XBRL US
This analysis continues our work leveraging the desktop version of Anthropic’s Claude LLM, we decided to test out how it works with energy-related data reported by public utilities to the Federal Energy Regulatory Commission (FERC). Our key takeaways? XBRL sourced AI results are more reliable, accurate, authoritative, and complete than AI responses generated using unstructured data.
By Michelle Savage, Vice President, Communication, XBRL US On its own, AI is a powerful analytical tool. XBRL can supercharge its responses. Last month we published a blog, AI is smarter with structured standardized data, about an academic study that analyzed thousands of SEC filings to learn what could boost the accuracy of information returned […more]
By Campbell Pryde, President and CEO of XBRL US; and John Turner, CEO of XBRL International This blog is a follow-up to an earlier post on Standard Business Reporting in the Netherlands and is based on an interview with René van der Meij, Chief Technology Officer at SBR Nexus, an initiative developed by Dutch banks. […more]
By Ariel Markelevich, Professor of Accounting, Sawyer Business School, Suffolk University Artificial intelligence is increasingly used to assist in financial decision making, from financial forecasting to predicting stock prices and identifying fraud. Users of AI know that there can be hurdles to overcome such as hallucinations and errors. A logical question to ask is if […more]
The Nordic Council of Ministers, in 2016, began a program to make real time business data accessible and usable for innovation and growth across the Nordic region in an automatic, consent-based and secure manner. The program began with each country’s business registry but has since expanded to 21 government agencies from across the region. Find out more about Standard Business Reporting in the Nordic Countries.
The national consortium for
the business reporting standard
