What do you think will happen with the Tester Experience in a world of adding LLM (AI) and outsource the responsibility of shipping products to 3rd party tools?
How does AI-driven testing compare with traditional testing methods in terms of accuracy and efficiency?
As AI evolved, it seems that individuals are more relying on the AI instead of their knowledge and might decrease the connections between peers and people. How do we overcome this?
How do you see AI transforming the daily tasks of a software tester? Are there specific routine tasks where AI can make the most significant impact?
In your opinion, what are the best practices for balancing human judgment with AI-driven insights in testing processes?
How does AI-driven testing differ from traditional automated testing methods?
How is Wipro supporting their employees (testers) to leverage AI in all possible aspects? Manual testing, automation testing, performance testing.
With the wide usage of LLMs, how should a tester’s CV look like? For example, with the help of LLMs, testers could do things with shallow knowledge of the given technology (Cloud, DevOps, ML, etc.). Does the tester gain experience in the given tech this way?
How can we know more about how to implement AI?
How does AI enhance bug detection and analysis? Can it accurately predict potential defects and help in diagnosing the root causes faster than traditional methods?
How can AI be utilized to enhance the efficiency and accuracy of software testing, particularly in identifying edge cases and automating repetitive test scenarios?
Can AI really make a big impact on testing without manual interferences and jeopardize manual tester/automation jobs?
What are AI-driven tools mostly? Could you please provide more insight?
What are the challenges of using AI in automated testing, and how can they be mitigated?
What challenges do testers face during the implementation of AI?
What’s the level of concern that companies will use this “gained” time to just work their employees harder with more tasks and less time to do them in, leading to more burnout?
Because if they start using AI from the beginning, they will be missing the core concepts as they start asking AI to do it for them.
How to Conduct Generative AI Testing Efficiently?
How to test Gen AI Applications effectively?
How can Gen AI improve the testing methodologies and help testers automate faster?