Test-Talks.com welcomes Karl McCarron an ML Architect at Keysight within the Eggplant AI R&D labs team in Cambridge, where he defines technical solutions and researches emerging AI technologies to advance the product's future vision in AI Agentic Testing. With a strong foundation in theoretical physics, having completed his MASt in Applied Mathematics from the University of Cambridge with Distinction and a First Class Master's in Physics from the University of Oxford, his work bridges advanced mathematical concepts with practical machine learning applications. His expertise spans from quantum field theory and particle physics to applied ML architecture, bringing rigorous analytical approaches to enterprise-grade intelligent automation.

Join the Eggplant AI R&D Labs team as they boldly reimagine the future of software testing in this thought-provoking brainstorming session. Exploring everything from transforming legacy test assets into intelligent models to the emergence of "model learning testing," they tackle the hard question: how do we make testing more valuable in an AI-driven world? Dive into discussions about context engineering, agentic AI systems, digital twins, and why 90% of software testing might need a complete rethink. If you're curious about where testing is headed in 2026 and beyond complete with newly coined concepts like "software archeology" and "value-informed testing" this wide-ranging conversation is essential listening for anyone in QA, test automation, or software development.