Release cycles are getting shorter, smartphones and tablets enter, the market at breakneck speed. Mobile phone technology has exceeded all expectations over the last three decades and it shows no sign of slowing down. Today’s mobile teams have a great selection of mobile application testing frameworks to help create functional test cases, but what we are missing are tools making the creation of test suites easier and faster. We need solutions that will know how to execute smart tests on mobile applications against real devices. Luckily there is a new computer science field that is addressing exactly this problem. Machine learning (ML) and Artificial Intelligence (AI). Over the last few years Test Automation has been ensure increasingly leveraged to ensure optimal accuracy for various digital initiatives. In the current scenario software development teams are adopting Artificial Intelligence (AI) to execute testing tasks that are repetitive and time consuming. The underlying purpose is to not only bring speed, but also accuracy while processing massive chunks of data to derive meaningful inferences on all kinds of applications, including mobile games. The application surface is getting complex each day and various applications interact with each other through APIs, which add up to the complexity. Apart from increasing the complexity, there is immense rush to bring the application to the market. With demanding market scenario, the releases that would happen over a month’s span are being done within a week’s time. This is putting tremendous load on testing. Hence, Machine-based intelligence is needed to overcome the testing and QA challenges that testers would face on a regular and recurring basis. I will take you through a UX example and provide you with very useful tips on testing UX 3 ways: 1. Manually 2. Automation 3. AI