Title

Data Science Ops: Working Excellently

Presenter Information/ Coauthors Information

Thomas Cleberg, Mutual of Omaha Insurance

Presentation Type

Event

Student

No

Track

Finance/Insurance Application

Abstract

Teams that produce analytical models have many and varied responsibilities in the broader organizations in which they operate. Creating an environment in which their work is sharable, collaborative, monitored, transparent, responsible, useful, and correct is a challenge, but possible. In this talk, we will discuss a general framework for creating a model management framework that addresses these challenges, open source projects that seek to enable data science teams to work excellently, and an example of how they can be combined modularly to create an environment that meets the specific needs of a team and organization.

Start Date

5-2-2019 1:00 PM

End Date

5-2-2019 1:50 PM

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Feb 5th, 1:00 PM Feb 5th, 1:50 PM

Data Science Ops: Working Excellently

Dakota Room 250 A/C

Teams that produce analytical models have many and varied responsibilities in the broader organizations in which they operate. Creating an environment in which their work is sharable, collaborative, monitored, transparent, responsible, useful, and correct is a challenge, but possible. In this talk, we will discuss a general framework for creating a model management framework that addresses these challenges, open source projects that seek to enable data science teams to work excellently, and an example of how they can be combined modularly to create an environment that meets the specific needs of a team and organization.