The Truth about AI and How it Applies to End to End Testing

Similar to the concept of self-driving cars, autonomous testing refers to the use of software to aid dev teams in testing applications, and it is germane to risk management, maintenance and test authoring. By automating the software validation aspect of quality assurance, autonomous testing allows engineering teams to deliver higher quality products much faster. In this talk, Testim CEO, Oren Rubin will break down the truth about AI as it pertains to functional end to end (E2E) testing. He will describe the four Levels of AI Assistance in testing activities:

Level 0, Manual Authoring - Engineering teams author and maintain tests; 
Level 1, Teach by example - Machines help increase the speed of test authoring while improving test stability;
Level 2, Semi-Autonomous - While some human assistance is required, machines write and maintain tests by observing how humans interact with apps;
Level 3, Fully-Autonomous - Machines automatically and autonomously build and maintain tests.

Key takeaways: What are the current challenges with E2E testing, how can AI help to resolve these challenges, and what is the future of AI in test automation?