Insurers are turning to scenario-based machine learning for portfolio optimization as traditional methods falter under regulatory and economic complexity.
The call center isn't a cost center. It's the moment of truth. And, despite investing billions in technology, insurers still fail customers when it matters most.
Insurers are turning to scenario-based machine learning for portfolio optimization as traditional methods falter under regulatory and economic complexity.
Rather than inferring exposure solely from historical outcomes, commercial auto underwriters can now access leading indicators of attentiveness, distraction, and behavioral discipline.
