Marty Ellingsworth

Fraud networks exploit multiple digital identities across accounts and websites, making digital entity resolution critical for preventing fraudulent payments.

Sophisticated fraud thrives in fragmented data. Entity resolution, knowledge graphs, and geospatial analytics can unite disparate records and expose hidden networks.

Entity resolution and digital domain mapping bridge the physical and digital divide, transforming fragmented data into comprehensive risk intelligence.

Record $14.6 billion fraud highlights an urgent need for entity resolution technology in P&C operations.

Auto insurers must brace for customer financial stress as credit-based scoring proves unreliable after lending disruptions.

Despite having VIN data, auto insurance companies remain surprisingly illiterate about the cars they insure. There's no excuse.

Cyber risks hide in invisible digital neighborhoods, but breakthrough analytics now reveal organizational vulnerabilities across complex network connections.

Personal auto carriers should report eye-popping Q2 results, but they still miss a key point that could greatly improve pricing accuracy. 

Insurance companies have money and don't protect it as well as banks do. We as an industry look like we deserve to be stolen from.

Historical data can be an unkind partner in times of sudden change. For risk-based pricing for auto insurance, these are such times. 

Changes in buyers' behavior mean an insurer using MSRP to set an insurance value is underpricing the vehicle from the start.

Firms must always be segmenting and improving experiences for personalized risk transfer, safety, prevention and loss management.

The pandemic has made prices of used vehicles and parts more volatile, and generally much higher, but insurers have yet to adapt their models. 

"The Robinsons." who bundle home and car insurance, represent the crown jewel in customer lifetime value. But the segment is very much at risk.

Most insurers are still spreadsheet-bound and, as a result, hard-pressed to make any progress outside of their spreadsheet environment.

Used cars are suddenly worth more instead of less. So, for claims in progress, there's a significantly higher payout for fixing and replacing cars.

Customers may prefer interacting with a smart-bot--no judging, no fatigue, no bad days. There is empathy in any process that respects our time.

Firms struggle because they view AI initiatives as small projects rather than a product requiring continuing maintenance and investment.

And growth is just getting started, possibly presenting a once-in-a-career opportunity.

Drivers will increasingly demand big discounts for low mileage.

Paying by the mile no longer requires special hardware. Just take a picture of your odometer from time to time.

Intermediaries will emerge that will shop automatically for insurance for customers on an hourly, daily or weekly basis. |