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MLOps Definition
- MLOps bridges the gap between machine learning research and real-world deployment.
- It combines principles from data science, software engineering, and DevOps to create production-ready AI systems.
Engineering Skills Gap
- Chris Benson shares a past experience where his AI team, composed mostly of data scientists, struggled to implement MLOps.
- This highlighted the often overlooked engineering skillset crucial for successful MLOps implementation.
MLOps as Intersection of Disciplines
- MLOps is interdisciplinary, blending data science, software engineering, and DevOps.
- It addresses model building, robust system engineering, and streamlined deployment for continuous value delivery.