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
These challenges put IT in a no-win situation where data science progress is bottlenecked and costs and risks are difficult to manage.
Learn how the Domino Enterprise MLOps platform was specifically built to solve these IT challenges and make IT professionals the heroes of data science, delivering models into production at high velocity.