MLOps at Scale

Explore the fundamentals and advanced concepts of Machine Learning Operations (MLOps) at enterprise scale in this 13-minute conference talk from Conf42 MLOps 2025. Learn about the critical importance of MLOps in modern machine learning projects and understand the key challenges faced in traditional ML implementations. Discover what MLOps encompasses and how it has evolved in the era of Large Language Models (LLMs). Examine the complete MLOps lifecycle, from development to deployment and monitoring. Understand automation strategies for ML workflows and explore Continuous Integration/Continuous Deployment (CI/CD) practices specifically designed for machine learning and large language model projects. Delve into governance frameworks and responsible AI practices that ensure ethical and compliant ML operations. Master monitoring techniques and best practices for maintaining ML systems in production environments at scale.