Using modern machine learning (ML) techniques, banks can know
with more certainty whether a loan applicant will make their
repayments, governments can decide whether a benefit application
appears fraudulent, and health insurers can decide what course of
treatment a patient should undergo. So where does this leave Oracle
Policy Automation (OPA), which is used today to make policy-based
decisions in all these industries?
As I outlined in Has AI made OPA obsolete?
Nope!,...