They said that automation was coming for tester’s jobs. But is that what really happened? Nothing is ever so simple or straightforward. So how are you to know what to take at face value or dismiss as hype in today’s context with AI as it relates to testing?
In this session, Joe Colantonio hosts Janna Loeffler, Dave Piacente, and Stephen Williams, as they share their take on various topics related to AI in testing, including the current state of AI adoption, the trustworthiness of AI, the impact of AI on testing roles, and the potential benefits and challenges of using AI in testing. The panelists emphasized the importance of understanding the use cases and limitations of AI, as well as the need for collaboration between developers and testers in leveraging AI effectively. They also highlight the significance of data quality and the need for testers to upskill and stay informed about AI technologies.
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