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Webinar

The Era of AI-Ready Test Data Management: Research & Revelations from Modern Enterprises

Presenters

Woody Evans

Woody Evans is Vice President, Global Sales Engineering, at Perforce Delphix, where he leads global presales strategy and helps enterprises modernize how they manage, secure, and deliver data. He specializes in DataOps, test data management, and data security, with a focus on enabling organizations to accelerate DevOps initiatives and prepare data for AI-driven innovation.

A seasoned sales engineering and consulting leader, Woody has extensive experience across highly regulated and data-intensive industries, including financial services, telecommunications, public sector, healthcare, media, and manufacturing. He has led the design and delivery of enterprise-scale solutions spanning identity management, business intelligence, CRM, content management, and master data management. Prior to Perforce, he held roles at Oracle, L-3, and AT&T Labs. 

Woody is a recognized authority on topics such as data masking, compliance, and DataOps adoption, and he has authored an array of thought leadership pieces for Delphix, including the 2026 Test Data Management Report for AI-Ready Enterprises and a CIO Dive article on test data management in the AI era. He has also presented at industry events including Oracle OpenWorld, DevOpsDays, and CIO forums. 

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Matthew Yeh

Matthew Yeh is Vice President of Product Marketing at Perforce Delphix, where he leads positioning for solutions that help organizations deliver compliant, high-quality data for modern software development, analytics, and AI initiatives. 

He focuses on translating complex technical capabilities into clear business value for enterprise teams navigating data compliance, test data management, and AI-driven innovation. This can be best seen in his thought leadership with Delphix, such as the 2026 Test Data Management Report for AI-Ready Enterprises he co-authored.

With experience in product marketing and enterprise technology, Matthew brings a deep understanding of how data, DevOps, and AI intersect across the software lifecycle. His work centers on helping organizations modernize development practices while maintaining governance, security, and operational efficiency.

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