Connected insurance report
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20190020039 | ||
| 003 | MAP | ||
| 005 | 20220911191329.0 | ||
| 008 | 170703s2019 gbr||||fs 000 u eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a216 | ||
| 245 | 0 | 0 | $aConnected insurance report |
| 260 | $aLondon$bInsurance Nexus$c2019 | ||
| 300 | $a118 p. | ||
| 520 | $aOne of the general principles of the insurance industry is that large amounts of historical data and accumulated experience can be used to assess both risks and claims. The peculiar magic of the industry is that in most cases, the insurer knows relatively little about the individual or company for which they are writing the policy. Often there will be nothing more than an underwriting questionnaire, but it can still make a decent prediction about what will happen to it, because it has a great deal of data about what has happened to similar entities in the past, be they; people, automobiles, houses or consignments of frozen fish. And when they are notified of a claim, they can pay, or dispute the claim based on little more than the notification, a few bits of paperwork and, occasionally, a visit by a loss adjuster. | ||
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080556709$aTecnología | |
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 710 | 2 | $0MAPA20190008723$aInsurance Nexus |