With machine learning, AI and privacy all becoming priority initiatives for companies, why has the data tug-of-war between IT and developers become such a challenge?
The tension between data science teams and IT departments stems in part from cultural differences. Traditionally, data science is rooted in a “hacker,” outside-the-box, experimental culture while IT professionals come from a process-oriented “design & build” mindset.
The tools most data scientists use are open workbenches, with many different programs, mostly open source, and a ‘the more data the better’ orientation. Data scientists usually want ALL the data, and need to explore it before they even know what to try. IT must provide only the necessary data and ensure it is private and safe.
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