Join us for an insightful panel discussion where industry leaders share their experiences, challenges, and strategies for adapting to AI-driven testing, automation, and modern software complexities.
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Scrolling through LinkedIn, I get the impression that many of the basics of testing and test automation are either not known or are prioritized incorrectly. To what extent do you agree with this and what can be done to mitigate that?
How can QA professionals equip themselves to effectively test ML and AI systems?
Could you please share experiences with Shift Right Testing , to capture real User Journeys
Dear Panel, considering the AI-driven evolution in the Quality Engineering (QE) domain, what key traits are important for a QE leadership role compared to a traditional QA leadership role?
How can organizations strike a balance between test automation and exploratory testing?
What are the key trends shaping the future of quality engineering?