A quiet revolution in AI and machine learning for fraud prevention has been developing over the past year or so. That revolution is Network Intelligence, a model that leverages AI 2.0 technologies to allow central infrastructure owners and payment network operators to facilitate the sharing of information about fraud risks among their community of members, without compromising IP, data privacy or compliance obligations.

But how does Network Intelligence work, and how can Chief Data Officers and Chief Risk Officers at these organizations leverage it to drive growth?