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Challenges and Opportunities in Operationalizing Data Science

EPISODE · May 25, 2021 · 42 MIN

Challenges and Opportunities in Operationalizing Data Science

from Data Science Leaders

Data science operationalization is a simple enough concept.But in practice it can be a complicated and often overwhelming challenge.In this episode, Dave Cole is joined by Nishan Subedi, VP, Algorithms at Overstock.com, to discuss the best way to operationalize data science.Nishan talked about: - The data science experts that make up the team at Overstock- Strategies to improve search and measure search success- The difference between ML engineers and ML scientists- How to design teams around product orientationTune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts. Listening on a desktop & can’t see the links? Just search for Data Science Leaders in your favorite podcast player.

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Challenges and Opportunities in Operationalizing Data Science

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