How to keep up with fast moving AI trends?
What new KPIs will define success for QA teams in the AI era?
How does integrating AI/GenAI into QA processes (unfinished question fragment in source)?
Which apps are best for testing all aspects of customized software?
AI can only be used as test automation accelerators, it cannot make testing autonomous. I would like to know your insights on this.
How does the architecture support environment-aware execution (different OS versions, devices, cloud vs local)?
What’s one small win you’ve had using AI in your QA work?
What KPIs should be tracked? (cutoff in your text, but included here)