What are some real-world examples of MLOps in action?
MLOps, or Machine Learning Operations, has been implemented in various industries. For instance, a major retail company used MLOps to optimize its supply chain, resulting in a 20% reduction in costs.
Can you give me another example?
Sure! A healthcare provider implemented MLOps to streamline patient data analysis, improving diagnosis accuracy by 15%.
What tools are commonly used in MLOps?
Common tools include TensorFlow, MLflow, and Kubeflow, which help in model deployment, monitoring, and management.
How does MLOps differ from traditional software development?
MLOps focuses on the lifecycle of machine learning models, including data management and model retraining, while traditional software development emphasizes code deployment and maintenance.
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