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Scaling AI in the Real World

AIM Research ·
Free

This report encapsulates key learnings from Neysa’s Delhi roundtable on Scaling AI in the Real World, where technology and data leaders exchanged firsthand experiences on moving AI from experimentation to production. The conversation highlighted the friction points of scaling — from inference economics, infrastructure reliability and hallucination control, to the need for stronger evaluation and observability architectures.

Scaling AI in the Real World

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