How do you detect when a data scientist is chasing a wild goose? And how do you prevent them from consuming company resouces unnecessarily?

Some teams in my organization have empowered data scientists to explore and develop AI/ML use cases, which is a positive initiative. However, we have noticed that this freedom has led to an experimentation spree, resulting in unnecessary expenses and resource allocation. The new data scientists are insisting on expensive software and cloud technologies that are straining our annual budget.

This has caused some concern among the more experienced cross-functional data science teams, who believe that the leadership's generosity towards the …

cases data datascience data scientist data scientists experimentation explore freedom organization positive scientists teams them use cases