Creating end-to-end functional tests is hard work. Automation frameworks require coding skills and platform-specific knowledge. Each test can take hours, creating a bottleneck that hinders fast releases. Once written, the flakey tests often fail on each minor code change, sucking up time for test maintenance.

Do AI-based solutions effectively solve these problems? This presentation will talk about different AI and machine learning approaches and how they enable test automation. We will also look to the future and discuss how AI might fundamentally change UI testing.