AI is being increasingly used in testing to uncover scenarios we need to test in manual as well as automation testing.
AI is being increasingly used in testing to uncover scenarios we need to test in manual as well as automation testing.
A lot of data is getting generated, and hence a lot of scope of data insights using AI.
With the advent of IoT, testing is becoming more complex, as there are multiple points of failure in the whole system. It also results in an explosion in the number of test cases.
Testing the integrity of data and analytics, to ensure the data and decisions based on them are correct.
Technologies like Code less testing, Robotic process automation testing are making automation more easy to approach for QA and removing manual intervention and hence its errors altogether.