Episode Details

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Mayank Vadaliya explains how incident response, root cause analysis, and traceability improve AI reliability across manufacturing and autonomous systems.
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Drawing on experience in large-scale manufacturing software and AI research, Mayank Vadaliya argues that reliable AI depends on disciplined engineering rather than larger models alone. By applying incident response methods like the Five Whys, emphasizing traceability, reproducibility, and human oversight, he outlines how organizations can build autonomous systems that remain safe, accountable, and resilient under real-world conditions.