Traditional software testing is fundamentally deterministic: the same inputs must always produce the same outputs. Yet many teams introduce AI into their testing without first defining the problem the AI is meant to solve, leading to brute-force experimentation and unreliable results. Google’s 2025 DORA report highlights that user-centricity is a prerequisite for AI success and that AI is most effective when it is pointed at a clear problem. AP shows you how that insight applies technically to testing. Before AI can be used as a testing tool, it must first be tested and understood in the...
Aprajita Mathur
Aprajita Mathur is a mom, inventor, mentor, and international keynote speaker with over 15 years of experience in software engineering and bioinformatics. She is a CSLLP certified professional and has led testing and development efforts across industries including oncology, genomics, forensics, and agriculture. At Guardant Health, she leads the Bioinformatics Software Test team, supporting the world’s leading comprehensive liquid biopsy. A passionate advocate for quality and community-driven growth, Aprajita is active with Women Who Test and other organizations where she mentors the next generation of leaders in technology.Her dedication has been recognized through multiple accolades, including being named "Woman of the Year 2020" by the Leukemia and Lymphoma Society for her philanthropic efforts, and being honored as one of the "Top 50 Women Leaders of 2025" by Women We Admire. Outside of work, she enjoys exploring the outdoors with her kids and catching up on sleep.