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Hype or reality? The state of artificial intelligence and machine learning in the insurance industry

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<rdf:Description>
<dc:creator>Beal, John </dc:creator>
<dc:creator>LexisNexis Risk Solutions</dc:creator>
<dc:date>2019</dc:date>
<dc:description xml:lang="en">Sumario: Worldwide 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</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/170292.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:rights xml:lang="en">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="en">Mercado de seguros</dc:subject>
<dc:subject xml:lang="en">Tecnología Aplicada</dc:subject>
<dc:subject xml:lang="en">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="en">Machine learning</dc:subject>
<dc:subject xml:lang="en">Digitalización</dc:subject>
<dc:subject xml:lang="en">Perspectivas del seguro</dc:subject>
<dc:type xml:lang="es">Livros</dc:type>
<dc:title xml:lang="en">Hype or reality? The state of artificial intelligence and machine learning in the insurance industry</dc:title>
<dc:format xml:lang="en">24 p</dc:format>
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