PyData Seattle 2023

Scaling MLOps to support dozens of analytics teams
04-28, 11:45–12:30 (America/Los_Angeles), Hood

In this talk, we will present best practices and case studies on building ML platforms with a focus on scalability and the simplicity of user onboarding. We will demonstrate how ML operations can be efficiently scaled from scratch to dozens of teams using templatization and other techniques.


In this talk, we will present best practices and case studies on building ML platforms with a focus on scalability and the simplicity of user onboarding. We will demonstrate how ML operations can be efficiently scaled from scratch to dozens of teams using templatization and other techniques.


Prior Knowledge Expected

No previous knowledge expected

Ilya Katsov is a VP of Technology at Grid Dynamics, a global consulting company that specializes in emerging technology. Ilya works on innovative data science and AI solutions for large enterprises. Prior to joining Grid Dynamics, Ilya worked at Intel Research on wireless communication technologies. He is the author of “Introduction to Algorithmic Marketing: Artificial Intelligence for Marketing Operations” (2017) and “The Theory and Practice of Enterprise AI” (2022).