For QE, what are the first two areas of most return using AI that come to mind for you?
Do you feel AI in QA is a threat… or a tool?
How can agentic AI detect and fix broken test scripts without human intervention?
How do we balance innovation with job security in the age of GenAI?
How do you see the Test CoE reshaping itself with the new AI led disruption?
With AI tools now automating many testing tasks, how relevant is it to still learn traditional automation frameworks like Selenium or Rest Assured? Should QA professionals focus more on AI-driven testing, or balance both, and if so, how?
Following the mention of “maximizing the value of AI-driven testing,” how can organizations effectively measure the ROI of their AI/GenAI initiatives in quality engineering?
When performing “small-scale pilots” during the Crawl phase, how can teams effectively define the scope of these pilots to make sure of measurable results and avoid the common pitfall of selecting overly ambitious or poorly defined initial projects?
How to write effective prompts to generate test cases, scenarios, or data?
What are the most effective strategies for managing version control, model deployment, and CI/CD pipelines in an AI-driven testing environment?
What common mistakes do organizations make when adopting AI too early?
How can GenAI accelerate test case creation and defect analysis in the “walk” stage?
How do you move from experiments and POCs to real-world AI adoption in QE?
What role does human-in-the-loop play across the crawl, walk, and run phases of GenAI adoption?
If AI could “self-heal” your flaky tests, would you let it do so automatically?
What are the challenges in scaling AI-driven testing across multiple teams or products?
What is the most frequent and costly mistake you see teams make as they transition from “Crawl” to “Walk”?
Would you trust AI-generated test strategies for critical production releases?
Many organizations are still in the “crawl” stage—what’s the best way to accelerate adoption without losing quality or trust?
Which industry do you think will be most disrupted by AI in the next 5 years?