For decades, test automation has been centered on scripting, involving predictable inputs, defined outputs, and rule-based execution. But the arrival of AI has rewritten the code of what automation can be and how testers fit into it. We’re witnessing a transformation where automation is no longer just faster execution; it’s becoming smarter decision-making.
This talk explores how AI is fundamentally changing the DNA of test automation, from static rule-based systems to adaptive, self-learning ecosystems. But this evolution also brings new questions: How do we validate what AI creates? How do testers retain control and ensure ethical, transparent automation?
Through live examples and insights, this session will help you rethink your automation approach, from reactive execution to proactive quality intelligence. AI isn’t just changing the speed of testing; it’s rewriting its very DNA.
- Artificial Intelligence
- Automation
