Wednesday, May 28th, 2025, 12:00pm EDT: 5:00pm BST
Today’s software landscape demands velocity, and AI is transforming every aspect of development. While deployments and pipelines are increasingly automated, testing remains a bottleneck due to fragmented, traditional test data management (TDM). Existing TDM tools are heavy, monolithic, and slow to deploy, making them unsuitable for fast-paced DevOps or CI/CD environments. As a result, teams spend valuable time and resources accessing the necessary test data. To keep up with ever-shortening development cycles, accelerating test data provisioning using the transformative power of artificial intelligence can prove to be a game-changer.
In this webinar, we will explore how AI-driven testing is streamlining development in the financial services sector. We will also examine how Qualitest, with its quality engineering expertise, is partnering with Synthesized, a pioneer in next-generation test data infrastructure, to meet unique development needs. If you’re looking to build resilient software while meeting regulatory directives, this session will provide valuable insights and outline a practical roadmap to drive efficiency and quality throughout the lifecycle.
What You’ll Learn About
- Why testing is a development bottleneck: Identify shortcomings that cause latency in the development process.
- The downside of delayed test data access: Explain how not being able to access test data quickly slows down development.
- Strategies to accelerate test data provisioning: Discuss how AI-driven test data generation can keep pace with development.
- How to refresh test data intelligently in real time: Explain how AI-driven test data generation keeps environments up to date in real-time.
- Eliminate compliance and regulatory risks: Describe how intelligent data scanning and masking can prevent potential fines and lawsuits from regulatory bodies.
- How to generate synthetic data for any test case: Explain how AI can speed up cloud migrations and DevOps.
Meet Your Expert Speakers
Envision the future of AI-driven testing with technology leaders reputed for their progressive contribution to enhancing quality with speed throughout the lifecycle.
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Adhisivan, with over twenty years of IT industry experience, specializes as a solution architect and designer for large enterprises. He has worked extensively as a database designer, data architect, and quality engineer, developing effective IT strategies. At Qualitest, he currently helps customers build trust in their data through innovative solutions.
Nicolai is responsible for the direction and global strategy of Synthesized. He holds a PhD in Statistics and Machine Learning from the University of Cambridge and is a member of both Forbes 30 Under 30, Technology Sector, and Forbes Technology Council.
