AI-Driven Software Testing, What Companies Get Wrong!

Why do so many ambitious AI-driven testing initiatives fail to deliver real ROI? In this episode, we explore the seven most common pitfalls—from over-reliance on a single AI model to ignoring the importance of data quality and manual oversight. Learn how to integrate AI seamlessly into your CI/CD pipeline, reduce false positives, and focus your QA team where it counts. If you’re looking to streamline your testing process and adopt AI the right way, this episode is for you. Support the showThanks for tuning into this episode of Dean Does QA! Connect with Dean: Find Dean's latest written content and connect on LinkedIn: @deanbodart Support the Podcast: If you found this episode valuable, please subscribe, rate, share, and review us on your favorite podcast platform. Your support helps us reach more listeners! Got a Question? Send us your thoughts or topics you'd like us to cover at [email protected]

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