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Data challenges, legacy systems and siloed teams prevent insurers from keeping up with the pace of transportation innovation.
Property image data has become an important source for insurance carriers.
Logical data fabric can alleviate problems insurers face when consolidating data and provide a visualized, unified view of critical information.
Increased use of data science, AI and machine learning are driving the skills needed by today's insurance pros.
For adjusters working in claims stemming from a wide-area damage event, here are the questions that need to be asked early in the fact-finding stage.
Expect an emergence of new private/public partnerships as a result of the coverage shortfalls revealed by the COVID-19 pandemic.
With cyberattacks on the rise, subrogation provides an important option for recouping some of the associated costs.
Why are so many insurance carriers unwilling or unable to exploit the true potential of their claims data?
Riots, wildfires, cyberattacks, hurricanes and the coronavirus were at the forefront of an active year filled with insurance claims.
The question to ask is not which AI technologies are valuable but rather where they are most valuable in the enterprise.
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