AI Model Churn Is Now a Core Enterprise Architecture Risk
MariaDB CPO Vikas Mathur argues that model churn is a permanent feature of the AI market, and enterprises that hard-code infrastructure around today’s leading model are already taking on architectural debt. The real strategic asset is a model-agnostic data layer that can absorb model substitutions without full re-integration. ECI Research data shows compliance friction and tool procurement barriers compound the problem, especially in regulated environments.
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