Influence of Artificial Intelligence & Machine Learning in Test Data Management
Artificial Intelligence (AI) and Machine learning (ML) is finding it's roots in every stream of software development. Test Data Management is no exception. Significant use of ML for data discovery and profiling helps automate time consuming manual tasks into a short, repeatable and effective outcomes. Generating AI being leveraged to create Synthetic test data is just one example of how AI is being leveraged in the TDM space. This paper will take you through the different services of TDM where AI/ML can be applied and what tools are already present in the market.
The audience will takeaway:
- A summary of AI and ML. This will be articulated in brief definitions and examples.
- Where does Ml get applied in TDM? Key service of TDM leverage Ml to discover & profile data. This will be a learning experience for the audience.
- Where does Generating AI get leveraged in TDM? This question will be answered with examples allowing teams to relate to their day to day work & try leveraging it to reduce their time spent on TDM & get more productive.
- How can the Test Data Management life cycle be automated? This will be articulated through examples & sample case studies, thus allowing people to ask, think and act on these lines.
Praveen Bagare
Praveen is a seasoned professional with over 20 years of IT experience in Program Management, Quality Assurance, and specialization in Test Data Management. He is passionate about solving complex challenges, driving innovation and excellence. Currently, he is leading EPAM's Test Data Management Competency Center in the North America region and has successfully architected, implemented and Managed Test Data Management solutions across Fortune 500 companies in the USA. He has authored a white paper on Test Data Management in Software Testing Life Cycle and is an active IEEE member. He lives with his family in Wisconsin and loves to spend time outdoors.