Explain the concept of MLOps and how it differs from traditional software operations.
Instruction: Provide a clear definition of MLOps, and highlight the key differences between MLOps and traditional software operations practices.
Context: This question is designed to assess the candidate's foundational understanding of MLOps as a discipline and its unique aspects compared to traditional software development and operations. The response should cover the integration of machine learning models into the continuous integration/continuous deployment (CI/CD) pipeline, the importance of data versioning, and the specific challenges related to model monitoring and updating in production environments.
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MLOps is the discipline of operationalizing machine learning systems across training, deployment, monitoring, governance, and improvement...