To keep pace with frequent release cycles of cloud-based ERPs, QA teams have moved from manual testing to more robust automated testing. Although the overall speed of delivery has improved with test automation, there are still some bottlenecks such as tight delivery timelines, inadequate test coverage, test maintenance, test script design, etc., that need to be addressed.
In this whitepaper, we’ve highlighted how Artificial Intelligence (AI) based technologies can shift testing from automatic to autonomous while helping QA teams in achieving optimum test coverage and the desired agility which they have been looking for. We've also discussed how AI can address the pain points associated with traditional test automation.
