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GLOSSARY TERM
What is MLOps (Machine Learning Operations)?
A set of practices that aims to deploy and maintain machine learning models in production reliably and efficiently.
MLOps encompasses the entire lifecycle of a model, from data conditioning and training to deployment and continuous monitoring. A strong data infrastructure layer (like TacTech's M1 Layer) is required to supply clean, governed data into MLOps pipelines.
Optimize Your Model Lifecycle
Build resilient, automated pipelines for training, deploying, and monitoring your machine learning models.