Continuously track models in production to automatically detect drift and maintain accuracy in rapidly changing live environments
Nothing lasts forever—not even carefully constructed models that have been trained using mountains of well-labeled data. AI teams need to react quickly to adapt to constantly changing patterns in real-world data. LiveOps and monitoring AI models is a core component of AI to keep deployed models current and predicting with the utmost accuracy, and to ensure they deliver value long-term.
AI model monitoring is a critical element of the production environment. When models encounter data that is significantly different from the training data—due either to limitations in the training data or from changes in the live environment—previous data becomes obsolete. The Iguazio AI Platform detects these occurrences on the feature level, monitors the model outcome, creates an alert when performance degrades and then triggers automatic retraining. The entire data pipeline is fully managed and monitored on Iguazio.
Learn how you can continuously track models in production, detect drift and trigger automatic retraining with the Iguazio AI Platform