Data Standards Forum: Advancing Semantic Intelligence

Data standards have improved the ability to create, store, extract, and analyze statutory financial data. Today, more than 80 regulators have adopted the XBRL open data standard and millions of reporting entities prepare financial and non-financial data in structured, machine-understandable format. Important enhancements are being made to the technical specification that make it even better for artificial intelligence platforms, allow information to be managed and processed more effectively, and enable different types of data, from reference to time series to holdings data to be created more efficiently. Join standards organizations, government agency representatives, technologists, and software companies to share ideas, brainstorm, and plan for the future of open data standards in a changing technology and regulatory world.

Schedule

Speakers

Nick Hart, President and CEO, Data Foundation

Dr. Nick Hart is President of the Data Foundation, a national non-profit organization that champions the use of open data and evidence-informed public policy to improve society. He is a fellow at the Bipartisan Policy Center and with the National Academy of Public Administration. Dr. Hart previously served as the Policy and Research Director for the U.S. Commission on Evidence-Based Policymaking and worked at the White House Office of Management and Budget.

Dr. Xiao-Yang Liu, Director of SecureFinAI Lab, Columbia University

Dr. Liu's research interests include deep reinforcement learning, big data, and high-performance computing. He created several open-source projects, such as FinGPT, FinRL, and ElegantRL. He contributed chapters to a textbook on reinforcement learning for cyber- physical systems and a textbook on tensors for data processing. He serves as a senior PC member for NeurIPS, ICML, ICLR, AAAI, IJCAI, AISTATS, and ICAIF. He organized FinRL Competition at ACM ICAIF 2023/2024/2025, the First/Second Workshop on Quantum Tensor Networks in Machine Learning (QTNML) at NeurIPS 2020/2021, and IJCAI 2020 Workshop on Tensor Networks Representations in Machine Learning.

Ariel Markelevich, Ph.D., CMA, Suffolk University

Ariel Markelevich is a Professor of Accounting at the Sawyer School of Business at Suffolk University, located in Boston, MA. His research focuses on the intersection of technology, financial markets, and financial reporting, with particular emphasis on eXtensible Business Reporting Language (XBRL) and artificial intelligence. Professor Markelevich’s XBRL research explores how countries have adopted the standard and the factors influencing their implementation choices. He also examines the benefits of XBRL for users of financial information and other stakeholders—especially its potential when combined with AI. In addition to his academic work, Professor Markelevich collaborates with companies and regulators to help implement and leverage XBRL data. He earned his Ph.D. in Accounting from Baruch College – CUNY and his Masters degree in Accounting and Finance at Tel-Aviv University in Israel.

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.

Scott Theis, CEO, Novaworks, LLC

Scott serves as the President and CEO of Novaworks, LLC, a leading provider of EDGAR filing tools including data aggregation and XBRL preparation. Scott has also served as a member of the XBRL US Domain Steering Committee since 2009 and as Chairman of the committee since 2015. He is also the leader of the XBRL Technical Advisory Committee (XTAC). Scott has been in the EDGAR industry for four decades, beginning with his role representing the interests of EDGAR filers during the process of designing the EDGAR System. Since the SEC’s adoption of XBRL for regulatory reporting, Scott has taken an active role in working to improve the quality of XBRL data and expand the application of XBRL within the financial reporting industry.

Peter Warms, Business Development Manager, GLEIF

As the business development manager for the Global LEI Foundation (GLEIF), Peter Warms is focused on expanding the use of the LEI within the private sector, in particular client on-boarding and know your customer processes of financial institutions, as well as the public sector, via collaborations with regulators and emerging business use cases like payments, digital strategies, supply chain, and sustainability. Peter is also an active member of the International Organization for Standardization Technical Committee (financial services), Standards Advisory Group (SAG).

As a former senior manager at Bloomberg, he led the effort to bring the Financial Instrument Global Identifier (FIGI) to the financial services industry. Seeing the need in the financial industry for a unifying symbology that could provide unique identification across the asset class silos, Peter originated and championed the efforts within Bloomberg to offer a global solution as a public good and open data standard (see www.openfigi.com).

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