MLOps, or machine learning operations, is a practice that aims to streamline the deployment and usability of machine learning models. It encompasses the entire lifecycle of an ML model, from development and deployment to ongoing monitoring and maintenance. The goal of MLOps is to ensure that ML models are reliable, scalable, and efficient in production environments. AI
IMPACT MLOps practices are crucial for the efficient and reliable deployment of AI models in production.
RANK_REASON The item discusses MLOps as a practice, not a specific release or event.
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