Making IT the Hero of Data Science
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Does your company perpetually put IT professionals in a bind? That’s a common problem in many organizations: IT wants to support the data science team, maximizing their output but is also responsible for minimizing cost and risk to the organization. Balancing these two goals isn’t easy, and is becoming more difficult each year.
This paper discusses key challenges IT professionals face when supporting data science:
High data science support cost and burden
Ungoverned data science
Difficult and slow deployment of models into production