The Actuary - Spring 2020

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<rdf:Description>
<dc:date>2020</dc:date>
<dc:identifier>https://documentacion.fundacionmapfre.org/documentacion/publico/es/bib/174976.do</dc:identifier>
<dc:language>eng</dc:language>
<dc:publisher>Society of Actuaries</dc:publisher>
<dc:rights xml:lang="es">InC - http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
<dc:subject xml:lang="es">Matemática del seguro</dc:subject>
<dc:subject xml:lang="es">Modelos actuariales</dc:subject>
<dc:subject xml:lang="es">Machine learning</dc:subject>
<dc:subject xml:lang="es">Inteligencia artificial</dc:subject>
<dc:subject xml:lang="es">Análisis predictivos</dc:subject>
<dc:subject xml:lang="es">Mortalidad</dc:subject>
<dc:subject xml:lang="es">ERM</dc:subject>
<dc:type xml:lang="es">Periódicos y revistas</dc:type>
<dc:title xml:lang="es">The Actuary  - Spring 2020</dc:title>
<dc:description xml:lang="es">CUT THROUGH THE NOISE: Machine learning and artificial intelligence are a leap forward for life and annuity actuarial modeling / By Dave Czernicki, Peter Carlson, Jean-Philippe Larochelle and Jonathan DeGange -- BETTER WITH AGE: Predicting mortality for post-level term insurance /  By Martin Snow and Adam Haber -- RIDING THE ERM WAVE: A brief history of ERM modeling and what's coming next / By Rich Lauria -- ACTUARIAL SYSTEMS EVOLUTION: New possibilities emerge as hardware, software and collaboration methods improve, thanks to technological advances / By Tom Peplow -- FOCUSED ON SOLUTIONS: How modern technology can help manage and run complex models / By Andy Smith -- PERSEVERE WITH PASSION: Q&A with Rolande S. Mbatchou, ASA, MAAA,  managing actuary, Provider & Network Data Science,  at Health Care Service Corporation</dc:description>
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