A Strong Data Science Community in a Decentralized Org

Video Event

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Today, many organizations are looking to determine the optimal way for organizing their data science talent.

This session will highlight common challenges facing organizations that maintain a decentralized data science organization model that range from duplication of work, high attrition and lack of consistent development operations.

This session will then highlight ways to establish common development operations practices, model review standards, and other specific techniques for building a strong data science community that effectively connects data scientists sitting in silos across disparate organizations.

These practices have yielded greater results for the investment which Red Hat has placed into data science over the last 2-3 years.

Latest resources


The Practical Guide to Managing Data Science at Scale


Gartner Report: 15 Insights for Managing Data Science Teams


Model Monitoring Best Practices


Accelerate Adoption of SAS Data Science Use Cases in the Cloud Using Domino

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