Artificial intelligence in insurance : optimizing relationships and insurance results
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000nam a22000004b 4500 | ||
| 001 | MAP20180002526 | ||
| 003 | MAP | ||
| 005 | 20220911192152.0 | ||
| 008 | 180129s2017 esp|||| ||| ||spa d | ||
| 040 | $aMAP$bspa | ||
| 084 | $a219 | ||
| 245 | 1 | 0 | $aArtificial intelligence in insurance$b: optimizing relationships and insurance results$ca Pega insurance whitepaper |
| 260 | $aMadrid [etc.]$bPegasystems$c2017 | ||
| 520 | $aNew Business: Product Recommendations & Suitability; Cross-Sell & Upsell; Sales Actions -- Retention and Account Penetration: Attrition / Lapse Risk; Data Collection & Profile Attributes; Contact Strategy -- Marketing and Channel Management -- Underwriting: pricing; Underwriting Tests and Steps; Risk Management; Book Management -- Claims -- Big Data | ||
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080609412$aAplicaciones de gestión | |
| 710 | 2 | $0MAPA20180000805$aPegasystems |