Today we're joined by Dillon Erb, Co-founder & CEO of Paperspace.
Our conversation with Dillon centers on the challenges that organizations face building and scaling repeatable machine learning workflows, and how they've done this in their own platform by applying time-tested software engineering practices.
We also discuss the importance of reproducibility in production machine learning pipelines, how the processes and tools of software engineering map to the machine learning workflow, and technical issues that ML teams run into when trying to scale the ML workflow.
