Taking control : artificial intelligence and insurance
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20190012881 | ||
| 003 | MAP | ||
| 005 | 20230321114506.0 | ||
| 008 | 181204s2019 gbr|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a7 | ||
| 245 | 0 | 0 | $aTaking control$b: artificial intelligence and insurance$cUniversity of Surrey, Lloyd's |
| 260 | $aGuilford$bUniversity of Surrey$aLondon$bLloyd's$c2019 | ||
| 520 | $aThis study starts with the analysis of IoT¿s opportunities, risks and regulatory landscape. It then looks at the IoT risks for insurers in four different sectors - marine, smart homes, water infrastructure and agriculture using ten scenarios. Each scenario describes how IoT technology could generate and exacerbate risks that could cause losses in several lines of business. The last section of the report focuses on IoT¿s implications for the insurance sector from an operational and product development perspective. | ||
| 650 | 4 | $0MAPA20080591182$aGerencia de riesgos | |
| 650 | 4 | $0MAPA20100017982$aRiesgos emergentes | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20170006503$aTransformación digital | |
| 650 | 4 | $0MAPA20150010735$aInternet de las cosas | |
| 710 | 2 | $0MAPA20080435387$aLloyd's | |
| 710 | 2 | $0MAPA20190005647$aUniversity of Surrey |