Discover 4 key components of operationalizing your AI model after deployment, using machine learning operations (MLOps).
The MLOps process often involves the automatic training of a model on a schedule or in reaction to a trigger-driven event. Retraining an AI model aims to make it consistently output the most accurate results tailored to your specific business needs, and works to reduce or reverse model drift.This process involves data scientists conducting detailed
analyses to establish metrics for performance and degradation, informing necessary adjustments and using tests such as A/B testing. The model monitoring systems doing real-time analysis and alerting can automatically initiate retraining
