Day Two in enterprise AI: Why operations, drift, and retraining matter more than launch
ID: d77119ca-f3b7-51fa-9b57-8b397f3a1162
STIX ID: report--d77119ca-f3b7-51fa-9b57-8b397f3a1162
Feed Name: CIO Security
The article outlines the post-deployment realities of enterprise LLM adoption, emphasizing LLMOps best practices: continuous monitoring for data and concept drift, automated retraining tied to ROI and KPIs, governance and compliance controls, and the cultural/process changes needed for sustained model performance and risk management.
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