Prerequisite: None

Teddy Benson

Director of Data Architecture, Platforms, and AI Solutions

Universal Studios

This session will include a moderated Q&A featuring questions from the live audience.

As AI adoption accelerates, organizations face a growing challenge: how to provide third-party developers and testing teams with realistic data sets without exposing sensitive information or violating compliance requirements. In this session, Teddy Benson of Universal Studios will discuss how synthetic data—artificially generated data sets that mimic the content, style, and syntax of real information—can solve this problem.

Benson will discuss best practices for generating high-quality synthetic data that preserves statistical and structural fidelity, enabling robust AI model training and testing while ensuring privacy, security, and regulatory compliance. The discussion will cover practical approaches to integrating synthetic data into existing development pipelines, risk mitigation strategies, and real-world use cases demonstrating its effectiveness for third-party testing environments.

Whether you’re an AI leader, compliance officer, or data architect, this session will provide actionable insights to help you innovate responsibly while safeguarding your organization’s most valuable data.