Overview
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Explore the current landscape of production machine learning in 2024 through this insightful 33-minute talk by Alejandro Saucedo. Gain a deep understanding of the challenges faced in transitioning from machine learning models to robust, scalable production systems. Discover key focus areas, recommended tools, and best practices abstracted from real-world use cases of machine learning operations at scale. Learn how to leverage tools for deploying, explaining, securing, monitoring, and scaling production machine learning systems. Benefit from Saucedo's extensive experience as Director of Engineering, Science & Product at Zalando SE and his contributions to AI policy and standards as Chief Scientist at the Institute for Ethical AI. Stay ahead in the rapidly evolving field of MLOps and enhance your ability to build reliable, production-ready machine learning solutions.
Syllabus
The State of Production Machine Learning in 2024 // Alejandro Saucedo // AI in Production
Taught by
MLOps.community