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Explore the evolution and future of machine learning operations through this 42-minute conference talk from SREcon25 Europe/Middle East/Africa. Discover the critical challenges facing production machine learning systems as use-cases proliferate and stakes increase. Learn to identify key focus areas for transitioning from machine learning models to reliable, robust, and scalable production systems. Examine the nuances that make production machine learning particularly challenging, including the complexities of deploying and maintaining ML systems at scale. Gain insights into the latest production ML tooling ecosystem and understand how these tools address real-world operational challenges. Review best practices and lessons learned from production machine learning operations at scale, drawn from actual use-cases and industry experience. Understand the trends shaping MLOps in 2025 and beyond, positioning yourself to make informed decisions about machine learning infrastructure and operations in your organization.
