Digital-driven software development requires applications/products to be delivered quickly and persistently without compromising on quality. The wide variety of technologies such as SaaS, IoT, RPA, Virtual Reality, etc., greatly impact the Digital Transformation of companies. However, AI and ML propel the transformation process and help automate the testing as well.

Test automation has unique advantages, and it needs careful planning supported by the right skill set to get the expected ROI. The adoption of scriptless test automation is essential for enterprises to succeed in the digital age.  It delivers better and more efficient automation, relieving teams from the burden of repetitive testing. In addition, most of the software testing methods are now empowered by Artificial Intelligence and Deep Learning algorithms. This article shows some spotlights about the use cases of the AI-enabled scriptless tool IntelliSWAUT and the future trends for AI and ML in testing.