Webinar – The Impact of Data Quality, Data Standards and Fraud Mitigants in Private Markets

The Impact of Data Quality, Data Standards and Fraud Mitigants in Private Markets
Moderator: Ashley Nelle-Davis, Vice President, the Data Foundation
Kirke Cushing, Partner, DIACSUS
Thomas Dunlap, Founder and Managing Partner, DIACSUS
Capital flows into Private Markets have accelerated sharply. Operational practices built for smaller scale now struggle under volume, complexity, and participant diversity. The result is not just inefficiency yet systemic risk, driven by incomplete data, delayed reporting, and absence of shared standards. Artificial Intelligence (AI) compounds this challenge. Financial institutions deploy AI tools for reporting, risk analysis, compliance, and fraud detection on data that is inconsistent, often missing, and hard to verify. Poor data quality does not slow AI deployment; it amplifies risk at scale. Rising opacity, operational risk, and new retail and individual investor types thrust into this marketplace segment at a time when AI, real-time, and digital payments magnify the consequences of weak data foundations. The problem is documented. The precedent is proven via OTC Derivatives. The policy tools already exist. What is required is deliberate action from policymakers from Congress and the Executive Branch to ensure that Private Markets operate with data standards, transparency, and safeguards aligned with their systemic importance.

August 27, 2026 at 1:00 pm EDT