About the session
Artificial Intelligence and machine Learning Within the Testing Environment
AI, robotics and machine learning are becoming more popular in the testing environment. AI/ML can be used for handling big amounts of data to find patterns and help avoid avoid false positives and detect trends. How else can AI/ML benefit the testing environment? However, AI and machine learning are only as good as they are programmed, so how can we 'test the test' and the reliability of AI is working according to requirements/correctly for peace of mind throughout the end-to-end testing process?
Chair: Jacques Gatard, OcBizDev
