AI and Structured Data Forum: Optimizing Performance

9:00 - 5:00 PM ET Friday, May 15, 2026 (8 Hours)
CRAFT and XBRL US Conference || Stevens Institute of Technology || Get tickets || Sponsor the event

Machine learning has already made dramatic changes in businesses worldwide, including in the accounting community. Auditors are using artificial intelligence to improve workflow for themselves and their clients, from corporate to government.

This forum, co-produced by the Center for Research toward Advancing Financial Technologies (CRAFT) and XBRL US, will explore how structured, standardized data improves the ability of large language models to accurately and consistently understand data, and facilitates data interoperability for reduced friction in decentralized finance applications like blockchain.


Agenda

Time Session
900 - 9:30 AM Opening Remarks

  • George Calhoun, Center Director of Corporate Alliances, CRAFT at Stevens Institute of Technology
  • Campbell Pryde, President and CEO, XBRL US
  • Steve Yang, Associate Professor; Director, CRAFT at Stevens Institute of Technology
9:30 - 10:00 PM Keynote 

Julie Marlowe, Assistant Director, Office of Structured Disclosure, Division of Economic and Risk Analysis

10:00 - 11:15 PM AI, Audit & Assurance

AI is increasingly becoming a critical tool for business, including the audit community. This session will address how firms are leveraging AI to perform procedures, and what enhancements it brings; how companies are using AI and the impact on internal controls, potential risks; and will consider risk management and whether assurance should be required for AI.

Speakers confirmed to date:

  • Brian Crowley, Audit & Assurance Managing Director, Deloitte & Touche LLP
11:15 - 11:30 PM Break
11:30 - 1:00 PM CRAFT AI Tools for Audit 

Learn about research conducted on the XBRL standard and technology lessons learned. Find out about CRAFT plans for an initiative to develop AI-driven tools to support the accounting community.

Speakers confirmed to date:

  • Steve Yang, CRAFT Director
1:00 - 2:00 PM Lunch
2:00 - 2:30 PM Keynote
2:30 - 3:30 PM Interoperability in DeFi

Communication between blockchains is difficult without interoperability. Without consistent, easily understood data, blockchains can experience delays and miscommunication. Structured, standardized data can facilitate that process. Panelists will discuss data standards used in Decentralized Finance applications to improve efficiencies and accuracy.

Speakers confirmed to date:

  • Jason Meyers, Lead Architect, Creator of Pacioli.ai, Auditchain
3:30 - 4:00 PM Break
4:00 - 5:00 PM Standards and Machine Learning

Machine learning works better when sourcing data that adheres to a structured semantic data model. Join a discussion about optimizing data standards to best support today's language models, both large and small. Get insights into how AI can improve the efficiency of creating structured data.

Speakers confirmed to date:

  • Campbell Pryde, XBRL US
5:00- 6:00 PM Networking Reception

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Speakers

Brian Crowley, Managing Director, Deloitte & Touche LLP
Brian Crowley leads the Data Science group within Audit & Assurance (A&A) Technology and Transformation. To help elevate audits and enhance operational excellence, the Data Science team designs, develops, and deploys artificial intelligence (AI) and machine learning capabilities, including Generative AI.

Campbell Pryde, President and CEO, XBRL US
Campbell Pryde brings significant experience in technology development, accounting and finance to XBRL US. Before taking on the President and CEO position, Campbell led the development and maintenance of taxonomies as Chief Standards Officer, playing an integral role on the executive team. Campbell joined XBRL US from Morgan Stanley, where as Executive Director in the Institutional Securities Group, he managed the equity research XBRL-based valuation framework. He has been involved with XBRL since 2001, and served as Chairman of the XBRL US Domain Steering Committee during the critical initial build of the US GAAP Taxonomy under contract with the Securities and Exchange Commission. Prior to joining Morgan Stanley, Campbell was a Partner in the Risk and Advisory Practice of KPMG LLP. He is a member of the New Zealand Institute of Chartered Accountants.

Dr. Steve Yang, Associate Professor of the School of Business at Stevens Institute of Technology; Director, CRAFT
Dr. Yang holds a Ph.D. in Systems and Information Engineering from University of Virginia with concentration on Financial Engineering. His research has been focused on understanding markets’ irrationality and its impact on trading, portfolio, risk management, and systemic risk using decision science tools such as Markov decision processes, reinforcement learning, and other artificial intelligence (AI) methods. His research has been funded by a variety of NGOs, government agencies and industry firms such as, NSF, SWIFT, IRRC, IAAER, CFTC, DoD, Accenture, Northrop Grumman, KPMG, etc. He graduated at the top of his class with a B.S. degree in Aerospace Engineering from the Beihang University.

Dr. Steve Yang is currently the Director of the Center for Research toward Advancing Financial Technologies (CRAFT - https://www.stevens.edu/school-business/craft-center/craft-center-leadership-and-affiliated-faculty) established by Stevens Institute of Technology and Rensselaer Polytechnic Institute, co-sponsored by the National Science Foundation (NSF). He has worked with several major federal financial regulators such as, the Securities and Exchange Commission (SEC), the Commodity Futures Trading Commission (CFTC) and Treasury in the capacity as either a research consultant or visiting scholar. He currently serves as an Associate Editor for European Journal of Finance. He also served as the Associate Editor for Expert Systems With Applications (ESWA) journal, the guest editor for Quantitative Finance journal, and NSF review panelist in the past. His research has been published on journals such as Quantitative Finance, Decision Sciences, Journal of Banking & Finance, Expert Systems with Applications, European Journal of Finance, Neurocomputing, etc.

 

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