How is AI being used in quality assurance?
AI is transforming quality assurance by automating testing processes, improving accuracy, and speeding up feedback.
Can you give me some specific case studies?
Sure! Companies like Google and Microsoft use AI for automated testing, reducing manual effort significantly.
What are the benefits of using AI in QA?
Benefits include faster testing cycles, enhanced defect detection, and the ability to handle large data sets efficiently.
Are there any challenges in implementing AI in QA?
Yes, challenges include data quality issues, integration with existing systems, and the need for skilled personnel.
What tools are commonly used for AI in QA?
Common tools include Selenium, Test.ai, and Applitools, which leverage AI for smarter testing solutions.
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