Blog | Gen Re

Our Perspective

A Pain in the Neck? There’s an App for That

By Ian Prangley, Co-founder and Health Director, TrackActive (guest contributor)|July 02, 2019|English

TrackActive is a startup with an evidence-based application that uses artificial intelligence to allow individuals to manage and prevent musculoskeletal pain. Our company works in collaboration with Gen Re, and we aim to bring our mHealth solution to...
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Toward a Data-Driven Insurer - Understanding How to Formulate a Data Strategy

By Samuel Lim |June 27, 2019|English

“Artificial Intelligence”, “Big Data”, “Data Science” - buzz words such as these have been mentioned numerous times since the early 2000s. Many companies have since transitioned to a more data-driven culture; however,...
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Mortality and Morbidity at the End of Life’s Road

By Jean-Marc Fix |June 20, 2019|English

How long will I live? It’s a question that humans have pondered since the dawn of time. From palmistry to the latest health fads, we have found more or less satisfactory answers. Those of us in the Life industry, as students of mortality, are...
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When Two Cat Models Diverge and Neither Is Right, What Path Does an Underwriter Take?

By Andrew Zastrow |June 17, 2019|English

In our fast-paced, data-driven world, underwriters are increasingly dependent on Cat models to price individual risk locations. But can underwriters price an individual location accurately by using a model? Should they rely on one model, or average...
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Can Suicide Risk Be Significantly Influenced by Underwriting?

By Dr. Chris Ball |June 06, 2019|English | Español

Suicide often leaves the bereaved with more questions than answers. Many will find it difficult to ever understand why such a drastic step was taken. The risk factors for suicide traditionally considered by life insurance underwriters are highly influenced...
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Why Do Some People Survive to Age 100? - An Actuary’s Perspective

By Beata Puls |May 29, 2019|English | Deutsch

Developing reliable life tables is one of the most important objectives for life insurance companies. Mortality rates for single ages are usually very small numbers and we need a rather large sample size to obtain reliable estimates. Otherwise, they...
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