Data Science Ops: Working Excellently
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
2-5-2019 1:00 PM
End Date
2-5-2019 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.