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Development and testing teams are under pressure to release at agentic speed, but the availability of test data is quickly emerging as a bottleneck, holding these teams back. For many enterprises, synthetic data is looked to as a solution. The problem is that synthetic data is only useful if it's realistic.
According to the latest Perforce Delphix research, only 36% of enterprises believe synthetic data provides the realism needed for enterprise use cases, and just 34% believe it preserves referential integrity.
If synthetic data doesn't accurately reflect production environments or preserve relationships across data, it can create more testing gaps than it solves. In this webinar, Delphix Senior Product Manager Mayank Ahluwalia will explore how synthetic data can be truly useful for enterprise development and testing.
You'll learn about:
- The outlook on synthetic data for development and testing.
- How you can produce realistic, scenario-specific data while maintaining referential integrity across systems.
- Where and how synthetic data can provide the most value.
- How to generate high-quality, enterprise-ready synthetic data faster.
Join us to see how synthetic data generation can rise to the standard necessary for agentic development – giving you the high-quality data you need when you need it.
Don't miss this live event on Wednesday, November 11, 11 AM PT / 2 PM ET.
Register now for this webinar on The Key to Synthetic Data for Agentic Development: Preserving Realism & Relationships.
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MODERATOR |
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Mayank Ahluwalia
Senior Product Manager
Perforce Delphix |
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Stephen Faig
Research Director
Unisphere Research and DBTA |
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