A Shift from Continuous Testing to Autonomous AI-driven Test Automation

Artificial Intelligence (AI) and Machine Learning (ML) have transformed almost every sector. The testing industry is no longer an exception to this. It hasn't been long, we used to discuss the importance of "continuous testing" for "agile" and "DevOps". Undoubtedly, continuous testing provides the path for swiftly embedding quality assurance (QA) by ensuring that changes in the code can be integrated efficiently in the DevOps. However, continuous testing is not a walk in the park due to factors like siloed automation, lack of end-to-end visibility of requirements, high volume tests, etc.