Description
AI Buyer Guide for AI Model Deployment and Monitoring
AI Model Deployment and Monitoring include processes and systems that enable the seamless deployment of trained AI/ML models into production environments and the ongoing monitoring of their performance, reliability, and fairness. Deployment ensures that the models are operational and delivering predictions to users or systems, while monitoring ensures they continue to function effectively under production conditions.
- Deployment: Involves packaging the model, hosting it on suitable infrastructure, and enabling inference (real-time or batch).
- Monitoring: Tracks key metrics such as accuracy, latency, drift, and bias, ensuring the model performs as expected.
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