The session covers a testing approach that utilizes a new age Test Data Management (TDM) technique which learns from production data. Machine learning analyzes the data to create a model capable of generating synthetic data with identical source data attributes. Multiple learning iterations refine the model, enhancing its accuracy with each cycle. The data model incorporates security measures like differential privacy, enabling safe movement to lower environments. Later, generative AI leverages this model to produce desired volumes of test data for various testing types, including...
Praveen Bagare
Principal Technology Consultant
EPAM
Praveen Bagare is a seasoned IT leader with over 20 years of experience in delivering innovative AI-powered solutions. His expertise spans Program Management, Quality Assurance, and especially Test Data Management (TDM). Passionate about solving complex challenges, Praveen drives excellence and innovation. Currently, he leads EPAM's North American TDM Competency Center, overseeing presales for a leading AI product with multiple successful implementations. He has architected, implemented, and managed TDM solutions for Fortune 500 companies across the USA. Praveen is a recognized authority in the field, authoring a white paper on TDM in the Software Testing Life Cycle and another on AI and ML in TDM. An active senior IEEE member, he is committed to advancing industry standards. When not leading teams or driving innovation, Praveen enjoys spending time outdoors with his family in Wisconsin.