Software testing is critical to ensuring that applications are reliable, efficient, and meet user expectations. However, traditional manual testing methods can be time-consuming, expensive, and prone to human error. This is where AI-driven automation becomes invaluable.
AI automation testing uses artificial intelligence and machine learning algorithms to streamline testing. It offers critical advantages, including faster execution, improved accuracy, and reduced costs. In this blog, we’ll explore how AI automation testing can help achieve a higher return on investment (ROI).