A Platform Approach to Data Science Operationalization

Eduardo Ariño de la Rubia has been building quantitative teams for the past two decades, and knows first-hand how hard it can be to bring data science capabilities into a production setting. He understands there are multiple pitfalls waiting to trip up data scientists, from corrupted models and code deployment snafus to collaborating as a team and proving to the CFO that stuff actually works.

So when an advertisement for Domino Data Lab popped up on his Twitter feed, asking him if he wanted to run his models faster, it grabbed Ariño de la Rubia’s attention. After trying out the cloud-based data science platform for a few minutes, the then-Principal Data Scientist for the Ingram Content Group realized what he was looking at.

Author: Alex Woodie


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