Building a High-Throughput Data Science Machine

Presented by

Erik Andrejko, VP of Science at The Climate Corporation

About this talk

Scaling is hard. Scaling data science is extra hard. What does it take to run a sophisticated data science organization? What are some of the things that need to be on your mind as you scale to a repeatable, high-throughput data science machine? Erik Andrejko, VP of Science at The Climate Corporation, has spent a number of years focused on this problem, building and growing multi-disciplinary data science teams. In this video, we discuss what is critical to continue building world-class data science teams. We also discuss the practice of data science, the scaling of organizations, and key components and best practices of a data science project.

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