ai deployment 2

https://front-wiki.win/index.php/Why_Enterprise_AI_Performance_Demands_a_New_Approach_to_Infrastructure

Deploying an AI model is that tense moment when months of training data and tweaked algorithms meet the real world. It's less about a flashy launch and more about quietly integrating the system into an existing workflow, like adding a recommendation engine to a shopping site. The real work starts after deployment: monitoring for drift, handling unexpected inputs, and retraining to keep the predictions accurate. It's a shift from building a static model to managing a living, breathing service th…