Solving the Unstructured Data Problem for Testing and AI
by admin on Sep 11, 2026Enterprise development and AI teams increasingly need realistic unstructured data — documents, images and other content — for both software testing and AI training. But obtaining that data with the right conditions, complexity and realism, without exposing sensitive production information, presents an entirely new set of challenges.
Join Ulas Kumar, AI Practice Lead at GenRocket and Co-Founder of GritWorks.ai, for a live expert discussion exploring the emerging challenges of unstructured test data and training data provisioning.
Facilitated by Dave Zwicker, CMO of GenRocket, the conversation will examine the issues enterprise teams are confronting today: protecting PII and other sensitive information in production documents, creating realistic synthetic documents for specific testing and training requirements, supporting intelligent document processing and AI applications, and maintaining consistency between unstructured documents and the structured data that surrounds them.
Ulas will share his perspective on where the industry is heading, including the growing role of redaction, synthetic data generation, and secure data provisioning as enterprises move from traditional document-processing applications to AI-driven and agentic systems.
Live Virtual Expert Discussion
September 23, 2026, at 09:00 AM in Pacific Daylight Time (PDT)
Replace sensitive information with controlled synthetic data and create the additional variations, scenarios and edge cases required for testing and AI.
Can’t attend live? Register anyway and we’ll send you the recorded podcast following the event.