Webinar: No Data Privacy, No Innovation: Research That Proves Compliance is Essential to AI by Techstrong Learning

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No Data Privacy, No Innovation: Research That Proves Compliance is Essential to AI

About

That gap between confidence and practice is exactly where risk hides. Join Delphix experts Rod Cope, Mayank Ahluwalia, and Matthew Yeh as they unpack the report's findings, enterprises’ great data privacy risk, and what they mean for agentic development.

In this session, you will learn:
-Which privacy concerns AI/ML enterprises should be most worried about.
-Why high confidence often masks real compliance and security gaps.
-The biggest challenges to protecting data at AI speed, including data quality.
-How to safeguard sensitive data without bottlenecking AI innovation.

When

Tuesday, September 8, 2026 · 11:00 a.m. Eastern Time (US & Canada) (GMT -4:00)

Presenters

Jared Harris

Webinar Host

Matthew Yeh

VP of Product

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.

Rod Cope

Chief Technology Officer

As founder and CTO of OpenLogic, Rod Cope drives the technology vision for OpenLogic and heads the product management organization. Rod has over 20 years of experience in software development spanning a number of industries including telecommunications, aerospace, healthcare, and manufacturing. Rod holds both Bachelor's and Master's degrees in Software Engineering from the University of Louisville.

Mayank Ahluwalia

Senior Product Manager

Mayank Ahluwalia has experience across Data Management, Data Compliance, Systems Architecture, Machine Learning, and AI, spending much of his career as a hands-on engineer building and operating real systems. This background gives him a practical view of the challenges teams face implementing data and AI platforms. At Perforce Delphix, he leads Synthetic Data and Compliance Services for Azure, helping engineering and data leaders tackle data bottlenecks with a privacy-first approach.