S1 - 59 | Overcoming infrastructure blockers in data science with Ville Tuulos

As an infrastructure engineer, you know how frustrating it can be when data infrastructure gets in the way of data science projects. Business leaders expect results at the speed of business, but slow or inadequate data infrastructure can seriously hinder the progress of data science teams. It's a constant battle to balance the need for speed with the need for accuracy and quality.

Today I learn from Ville Tuulos, former leader of the machine learning infrastructure team at Netflix and the author of "Effective Data Science Infrastructure." Ville understands the challenges that data science teams face and has dedicated his career to helping them overcome these obstacles.

He shares his insights on how to deploy a data science infrastructure that is capable of leveraging data science and machine learning to solve large amounts of business problems quickly and accurately. He offers practical advice on how to overcome the common roadblocks that infrastructure engineers face, and he discusses the power of Meta Flow, an open-source project that can help increase data scientists' productivity.