Building a proof of concept is the easy part. Vardhan Bandi has spent years in the harder territory that comes after, getting AI systems into production inside healthcare and financial environments where sensitive data, audit requirements, and business accountability decide whether a project ships or quietly dies. His view is direct: most initiatives fail not […]
from
https://alltechmagazine.com/why-most-enterprise-ai-stalls-after-the-prototype/
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