Model Debt

Model Debt is the accumulated cost and risk associated with undeployed, outdated, or improperly governed AI and machine learning models. It includes technical inefficiencies, compliance gaps, and missed business value resulting from models that are not integrated, maintained, or monitored effectively. Like technical debt, model debt grows over time and can hinder scalability, increase operational risk, and reduce return on AI investments.

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