By Smita Shevde on Oct 19th, 2020
As machine learning and artificial intelligence (AI) enter the mainstream, they are starting to be applied in areas like software and quality assurance testing. These technologies can potentially reduce costs and improve the accuracy of the testing process. What’s more, intelligent test automation can shorten time-to-market without sacrificing quality and enhance overall client satisfaction. Intelligent test automation is a combination of machine learning, AI processes, and traditional automation practices. The result is a smarter way to test software and apps with minimal to no error, and at a higher efficiency. Efforts in digital transformation scaling and adoption are being accelerated
