Data across the insurance value chain : thought leadership
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20210006043 | ||
| 003 | MAP | ||
| 005 | 20220911211040.0 | ||
| 008 | 171207s2021 chn|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a219 | ||
| 100 | 1 | $0MAPA20210003554$aPereira, David | |
| 245 | 0 | 0 | $aData across the insurance value chain$b: thought leadership$cDavid Pereira, Mayte Hidalgo |
| 260 | $aTokio$bNTT Data$c2021 | ||
| 300 | $a11 p. | ||
| 520 | $aApplying artificial intelligence and smart data across the value chain consists of embedding intelligent insights within all business processes to make data-driven decisions (choose the right premium, perform a marketing campaign, claim process...) which optimize both customer experience and P&L. In many cases, even replacing human intervention by automatic machine learning based insights, with the subsequent efficiency. | ||
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20170005476$aMachine learning | |
| 650 | 4 | $0MAPA20080574857$aCadena del valor | |
| 650 | 4 | $0MAPA20150006509$aExperiencia del cliente | |
| 650 | $0MAPA20220007825$aData driven | ||
| 700 | 1 | $0MAPA20210003547$aHidalgo, Mayte | |
| 710 | 2 | $0MAPA20200009931$aNTT Data |