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Dean does QA
Hi, I'm Dean, a seasoned Software Tester and absolutely an AI Nerd. I document my findings about AI in the Software Testing industry, so I can share what I learn on my journey with a wider audience. "Dean does QA" is an AI-hosted weekly podcast that interactively reflects on the written content I publish on my LinkedIn 👉 https://www.linkedin.com/in/deanbodart/
Our AI-hosts Dwane & Rachel talk about the latest trends in AI-driven Software Testing, Automation and QA. Each episode dives into cutting-edge QA strategies, industry analysis, and AI-powered testing innovations, bringing you actionable insights to stay ahead in the fast-evolving software landscape. Whether you’re a QA engineer, test manager, developer, or AI enthusiast, this podcast delivers practical knowledge, expert opinions, and engaging conversations based on my written research.
Dean does QA
Digital Twins in Software Testing and the Elusive Replica of Human Expertise
In this episode, we dive deep into one of the most provocative questions in the world of digital transformation: can AI-powered digital twins ever replicate the mind of a human software tester?
Digital twins have transformed industries like aerospace, manufacturing, and healthcare. Now, the software world is asking whether we can virtualize not only the systems under test but the testers themselves. But behind the hype lies a set of cognitive, ethical, and technical challenges that most conversations avoid.
From the promise of predictive QA environments to the failures of autonomous testing agents, this episode explores:
- What digital twins are and how they’re being applied in software testing
- Why replicating human intuition, doubt, and risk awareness is so difficult
- Lessons from other industries that have implemented digital twin technology
- The cognitive blind spots AI still can’t see
- Real-world data points, ethical dilemmas, and a grounded vision for the future
If you work in quality assurance, AI, software development, or digital strategy, this episode will challenge your assumptions and offer a fresh lens on where digital twins truly fit in—and where they do not.
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