Portland 2019 Analytics Symposium Video: Jennifer Prendki

Agile for the Data Science Team

Jennifer Prendki – VP of Machine Learning, Stealth

Agile is a methodology and a way of working, originally created to improve the speed and results of software development. It emphasizes individuals and interactions over processes and tools; working software over documentation; and collaboration with customers and responsiveness to change. Benefits include greater predictability, adaptability, transparency, and accountability. Agile is known for working in “scrums”—which are teams with well-defined roles. Scrums engage in “sprints,” which are specified work in a set time period.

Data science can benefit from

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