Webinar Description
Key Takeaways
- Examines four core test data management (TDM) methods and their limitations in today’s software development lifecycles
- Explores the impact of AI-driven and agentic development on TDM strategies
- Shares new research from Delphix on best practices for scalable, compliant, and efficient TDM
- Highlights operational challenges in aligning legacy TDM with rapid delivery models
- Offers practical insights for IT, QA, and DevOps professionals seeking to modernize data processes
The upcoming webinar, “4 Popular Test Data Management Methods & Why They Fall Short in Modern SDLCs,” brings together industry experts to address the evolving demands of test data management in contemporary software development. Hosted by Perforce Delphix specialists TJay Belt and Wendy Mazur, the session is scheduled for June 17, 2026, and is designed for IT and data professionals navigating the complexities of compliance, scalability, and efficiency in fast-paced environments.
Modern Test Data Management in the Age of AI and Rapid Delivery
As organizations accelerate their adoption of agile, DevOps, and AI-driven development, traditional approaches to test data management are increasingly under strain. The webinar will dissect widely used TDM methods—data virtualization, masking, subsetting, versioning, and synthetic data—offering a candid look at where these techniques succeed and where they fall short in supporting modern software delivery cycles.
Legacy TDM processes, once sufficient for slower release cadences, now struggle to keep up with the demands of continuous integration, automated testing, and the data-hungry nature of AI initiatives. The session will explore why manual provisioning, inadequate masking, and rigid data workflows can become bottlenecks, especially as compliance requirements and data privacy regulations intensify across industries.
Industry Context and Operational Challenges
Test data management sits at the intersection of software quality, regulatory compliance, and operational efficiency. For sectors such as financial services, healthcare, and telecommunications—where data complexity and sensitivity are high—the stakes are particularly acute. The webinar will address the practical realities faced by data engineers, QA managers, DevOps teams, and IT architects as they attempt to balance speed, security, and scalability.
Emerging trends, including the rise of agentic development and the integration of AI into SDLCs, are reshaping expectations for data availability and trustworthiness. The discussion will highlight how organizations can adapt their TDM strategies to support these shifts, moving beyond legacy tools and processes to embrace more dynamic, future-ready solutions.
Insights from Delphix Research
Attendees will gain access to new research from Delphix, offering a data-driven perspective on TDM best practices and emerging benchmarks. This research aims to help organizations refine their data strategies, improve compliance postures, and unlock greater efficiency in test data provisioning and management.
Who Should Attend?
The session is tailored for mid-to-senior level professionals responsible for data management, compliance, and software quality within enterprise IT, QA, DevOps, and data engineering teams. It is particularly relevant for those in industries with complex data needs and stringent regulatory requirements, including software and IT services, finance, healthcare, automotive, media, and government.
Strategic Value and Community Engagement
Beyond technical insights, the webinar serves as a platform for community building and thought leadership within the TDM and DevOps space. By spotlighting both the pitfalls of outdated approaches and the promise of modern solutions, the event encourages organizations to fine-tune their data processes and position themselves for success in an era defined by rapid change and innovation.