Hype or reality? The state of artificial intelligence and machine learning in the insurance industry
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| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20200002635 | ||
| 003 | MAP | ||
| 005 | 20220911191132.0 | ||
| 008 | 200129s2019 usa|||| ||| ||eng d | ||
| 040 | $aMAP$beng$dMAP | ||
| 084 | $a216 | ||
| 100 | 1 | $0MAPA20200001652$aBeal, John | |
| 245 | 1 | 0 | $aHype or reality?$bThe state of artificial intelligence and machine learning in the insurance industry$cJohn Beal |
| 260 | $aAlpharetta $bLexisNexis Risk Solutions$c2019 | ||
| 300 | $a24 p | ||
| 520 | $aWorldwide adoption of AI and ML -- How AI and ML helps carriers address three key business challenges -- Industry perceptions of AI and ML -- Adoption and benefits -- Challenges and considerations -- Staffing challenges -- LexisNexis analysis: Staffing considerations -- Data challenges -- LexisNexis analysis: Data considerations -- Compliance & regulatory challenges -- LexisNexis analysis: Compliance & regulatory considerations -- What to look for in an AI and ML partner | ||
| 650 | 4 | $0MAPA20080586294$aMercado de seguros | |
| 650 | 4 | $0MAPA20080593896$aTecnología Aplicada | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 650 | 4 | $0MAPA20170005476$aMachine learning | |
| 650 | 4 | $0MAPA20080568641$aDigitalización | |
| 650 | 4 | $0MAPA20080611880$aPerspectivas del seguro | |
| 710 | 2 | $0MAPA20200001669$aLexisNexis Risk Solutions |