Artificial Intelligence : challenges and opportunities for insurers
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20200019503 | ||
| 003 | MAP | ||
| 005 | 20220911190818.0 | ||
| 008 | 180402e20190901deu|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a216.1 | ||
| 100 | 1 | $0MAPA20200013600$aAngoulvant, Christophe | |
| 245 | 1 | 0 | $aArtificial Intelligence $b: challenges and opportunities for insurers$cChristophe Angoulvant, Axel Bohlke |
| 260 | $aBrussels$bRoland Berger GmbH$c2020 | ||
| 300 | $a24 p. | ||
| 520 | $aArtificial Intelligence has gained momentum over recent years and is becoming omnipresent in the insurance landscape. New pilots and proofs of concept are being tested and implemented throughout the entire value chain, with tangible improvements in operational efficiency, customer experience, innovative product/service offering and better performing distribution. Insurance has been and is expected to remain one of the industries that will be the most impacted by AI in the coming years. Hence, with exponential development of uses cases and pilots, there is increasing need to have a clear view on where and how AI is creating value in insurance and how insurers can take advantage of the opportunities it creates. | ||
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20080605674$aDesarrollo tecnológico | |
| 650 | 4 | $0MAPA20080590567$aEmpresas de seguros | |
| 700 | 1 | $0MAPA20200013617$aBohlke, Axel | |
| 710 | 2 | $0MAPA20140014651$aRoland Berger Strategy Consultants |