XBRL US and the Center for Research toward Advancing Financial Technologies (CRAFT) jointly will host an in-person conference to discuss how structured, standardized data improves the performance of large language models. The one-day event takes place Friday, May 15, 2026, beginning at 9 a.m. Eastern at Stevens Institute of Technology in Hoboken, NJ.
Machine learning is transforming global industries, and has had a lasting effect on the accounting profession. Auditors in the corporate and government sectors are increasingly choosing to use artificial intelligence (AI) to simplify workflows, increase accuracy, and provide greater insights for their clients. This emerging technology reshapes well established processes and paves the way for faster, more dependable financial analysis.
By enhancing data consistency and compatibility, standardized formats reduce disparity in decentralized finance applications, such as blockchain, while enabling AI systems to interpret financial information with more precision and reliability.
This conference will feature the following panels and topics:
- AI, Audit & Assurance
- CRAFT AI Tools for Audit
- Interoperability in DeFi
- Standards and Machine Learning
Below is a partial list of the event’s presenters and panelists:
- Scott Theis, CEO, Novaworks LLC, leader of the XBRL Technical Advisory Committee (XTAC) for XBRL US, and Chair, XBRL US Domain Steering Committee
- Campbell Pryde, President and CEO, XBRL US
- George Calhoun, Center Director of Corporate Alliances, CRAFT at Stevens Institute of Technology
- Steve Yang, Associate Professor; Director, CRAFT at Stevens Institute of Technology
For more information, including registration instruction, please visit the event’s webpage on xbrl.us.
Source:
AI and Structured Data Forum: Optimizing Performance (xbrl.us)
