The AI-powered future of Enterprise Quality & Transformation

AI won’t replace QA engineers. But QA engineers who use AI will redefine software quality.In this episode of AI ThoughtMakers, Jennifer Renita, Lead Software Engineer in Test-3 at GeekyAnts, explores how enterprise QA is evolving from traditional testing to AI-powered quality engineering — and why speed without quality is still one of the biggest risks in software development.From predictive testing and intelligent automation to production bugs, AI-generated code, and the future of manual testing, this conversation dives deep into what modern software quality really looks like in an AI-driven world.Key highlights from the episode:• Why digital transformation projects fail despite massive investments• The shift from manual QA to predictive, AI-assisted testing• Why a “quality mindset” matters more than tester count• The hidden risks of blindly trusting AI-generated test cases• How AI is transforming automation, testing strategies, and release cycles• Why QA should begin at the design phase — not before release• The future of QA engineers in an AI-first software industryWhether you're a QA engineer, developer, engineering leader, or building AI-powered products, this episode is packed with practical insights on balancing speed, automation, and software quality at scale.Connect with Jennifer RenitaLinkedIn - https://www.linkedin.com/in/jennifer-renita/Hosted by Prem Prakash GoswamiLinkedIn - https://www.linkedin.com/in/premgoswami/