Explore the challenges and solutions for operationalizing machine learning models in pharmaceutical research in this 30-minute conference talk by Daniel Butnaru, Principal Architect & Head of Scientific Software Engineering & Architecture at Roche. Learn how the industry is transitioning from one-off model usage to repeated application in critical research workflows, and the implications this shift has on quality and setup requirements. Discover strategies for leveraging MLOps platforms in large enterprises and ensuring seamless integration of ML models within heterogeneous operational landscapes. Gain insights from Butnaru's expertise in architecting solutions that accelerate drug discovery and early drug development, drawing from his background in Computational Science from the Technical University of Munich.
Generalizing Diversity - Machine Learning Operationalization for Pharma Research
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
Generalizing Diversity Machine Learning Operationalization for Pharma Research
Taught by
MLOps World: Machine Learning in Production
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