Panel Discussion: Strategies for Scaling AI in Quality Engineering | TestMu 2025
In this insightful TestMu 2025 panel discussion, top tech leaders, featuring Dror Avrilingi, Head of Amdocs Data, GenAI & Quality Engineering Studios, Amdocs, Khimanand Upreti, Managing Director, Nagarro, Janakiraman Jayachandran, Global Head of Testing, Aspire Systems, Mobin Thomas, Global Head of Quality Engineering, UST, and Vikul Gupta, CTO, Qualitest share their strategies for integrating AI at scale in quality engineering.
With AI adoption now a daily practice for most companies, the conversation has shifted from "if" to "how" organizations can scale AI effectively. This session covers the shift from isolated code-generation pilots to enterprise-wide AI impact, highlighting the technical realities of rewiring the SDLC for predictive quality and designing human-in-the-loop systems that augment expert judgment rather than replace it. Panelists discuss the evolving roles within testing teams, from automation engineers becoming AI strategists to the growing demand for roles focused on validating AI agents.
Strategies for integrating AI into the SDLC at scale.
The role of human-in-the-loop systems in scaling AI.
How AI is transforming the roles of testers and engineers.
Actionable advice for enterprises looking to scale AI in quality engineering.
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