AI-Driven Strategies for Scalable & Resilient Performance Engg. | Jerome Antonisamy
In this insightful TestMu session, ๐๐๐ซ๐จ๐ฆ๐ ๐๐ง๐ญ๐จ๐ง๐ข๐ฌ๐๐ฆ๐ฒ, Group Manager โ Performance, SRE, Environment & Release Management at Coles Group, takes us on a journey through the evolving landscape of Quality Engineering (QE) and Performance Engineering (PE) in the era of AI.
He shares how AI-driven tools, like the AI Accelerated PE approach and AI-Enabled Continuous Performance Testing, are transforming the way we build scalable, resilient systems. Jerome also introduces the new concept of Defect Management Service Intelligence (DMSI), showcasing how AI is enhancing the entire testing lifecycle.
This session is a must-watch for developers, testers, and managers eager to understand how to leverage AI in their QE/PE journey to accelerate deliverables and improve team efficiency.
Overview of AI-driven Performance Engineering (PE) strategies.
How AI can accelerate your Quality Engineering journey.
Introduction to the concept of Defect Management Service Intelligence (DMSI).
Real-world applications of AI in testing for scalable and resilient systems.

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