Pesquisa de referências

Data across the insurance value chain : thought leadership

<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<rdf:Description>
<dc:creator>Pereira, David </dc:creator>
<dc:creator>Hidalgo, Mayte </dc:creator>
<dc:creator>NTT Data</dc:creator>
<dc:date>2022</dc:date>
<dc:description xml:lang="es">Sumario: Applying artificial intelligence and smart data across the value chain consists of embedding intelligent insights within all business processes to make data-driven decisions, 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</dc:description>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/182480.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>NTT Data</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Mercado de seguros</dc:subject>
<dc:subject xml:lang="es">Empresas de seguros</dc:subject>
<dc:subject xml:lang="es">Cadena del valor</dc:subject>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Automatización</dc:subject>
<dc:subject xml:lang="es">Data driven</dc:subject>
<dc:subject xml:lang="es">Machine learning</dc:subject>
<dc:subject xml:lang="es">Experiencia del cliente</dc:subject>
<dc:subject xml:lang="es">Perspectivas del seguro</dc:subject>
<dc:type xml:lang="es">Livros</dc:type>
<dc:title xml:lang="es">Data across the insurance value chain : thought leadership</dc:title>
<dc:format xml:lang="es">11 p.</dc:format>
<dc:coverage xml:lang="es">Ámbito geográfico: Internacional</dc:coverage>
</rdf:Description>
</rdf:RDF>