From Fraud Engine to Cross-Team ML Platform

What it takes to scale an internal product, initially intended to fight fraud, to eventually solve problems from other domains across the company?

What are some of the main challenges architecturally, how to deal with ownership, what needs to be there data-wise, and finally, how to make it all scalable?

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