An Overview of Common ML Serving Architectures

An Overview of Common ML Serving Architectures

Explore common machine learning serving architectures in this 18-minute conference talk by Rebecca Taylor, tech lead of Personalization at Lidl e-commerce. Gain insights into the disconnect between academic teachings and industry practices in model deployment. Learn about the constraints that impact deployment design, including unique data setups, platform configurations, and financial limitations. Discover how to build flexible designs that accommodate these constraints. Benefit from Rebecca's extensive experience in MLOps, electronic engineering, and data science consulting, as well as her academic background in Bayesian Statistics and engineering.