Florida, Louisiana and the other states are challenging Risk Rating 2.0, which changed the methodology for determining flood insurance prices.

Customers expect insurers to share information that illuminates the hidden dangers of their daily routines and to give guidance on minimizing the likelihood of adverse outcomes.

The 'sweet spot' for insurers when using machine learning involves gaining a clearer picture of customer behaviors.

The insurer refused the claim because it determined that the hurricane caused only minor damage to the property, and that the cost of any repairs was less than the insurance policy's deductible.