Impaired Risk Review: Rage Against the Machine
Increasingly, computer templates are making binding underwriting decisions through information that is programmed in with final decisions virtually unappealable. It’s a frustrating situation that is taking the human element out of a very human situation of health and risk assessment.
Synthesis Analysis - A Robust Statistical Tool for Life Insurance Underwriting and Pricing Research
As life insurers move toward accelerated or low friction underwriting, there is an increased interest in adopting emerging mortality risk prediction scores that are available almost instantaneously.
Classification Model Performance (Gen Re Risk Insights)
Insurers are increasingly developing prediction models to use in their insurance processes. Often these models are using traditional techniques, but more and more we see machine learning techniques being applied.
Big Data Sharing and Predictive Modeling: 5 Things for Regulators to Consider
The U.S. market is ready to realize this potential from these expansive technologies and networks but a regulatory pathway needs to be established to safeguard adherence to our core insurance principles and an individual’s right of privacy.
The Internet of Things: Key Considerations for Life Insurers
Smart homes, telematics devices, autonomous cars – it is clear the “Internet of Things” (IoT) is having a big impact on the property casualty insurance industry. But what are the implications for life insurers? A tour of technological advances and changing customer expectations.
Sun Life Studying Whether Credit Scores Could be Useful in Underwriting
Could credit scores have a predictive value on determining subsequent mortality experience? Dean Connor, President and CEO of Sun Life, explained how his company is exploring this question.
Incorporate Third Party Scoring in Accelerated Underwriting (Slides)
The slides from a presentation by Guizhou Hu, M.D. Ph.D., Vice President Chief Decision Analytics Officer (Gen Re) have been posted at the Actuaries' Club of the Southwest website.
Tools and Data in the Underwriting Process (Slides)
The search is on for how to disrupt the underwriting process to find or select the best risks. Can data ever be as good as blood? There is an ever growing number of tools and resources becoming available to insurance companies to underwrite business. The presenters will present some of the tools, data sources, uses and concerns in the underwriting process.
Note: The session above (29) can be found in the 10:30-11:45 a.m. time slot
Impaired Risk Review: Predictive Analytics
For those of you fortunate enough to have seen the classic 1967 Academy Award nominated film, “The Graduate,” a line of advice on the future given to Dustin Hoffman’s character is still a classic. “I want to say one word to you... Just one word... Plastics...” Nowadays, in the field of life insurance underwriting, that might be expanded to two words: “Predictive analytics.” If you haven’t heard the term it will certainly become part of the underwriting experience in the upcoming years.
Life Underwriting In 2017 and Beyond
Insurers’ goals are cost containment, faster turnaround and “customer friendliness” with a mandate for continued robust mortality gains. This article looks at impactful interim developments and critical questions yet to be resolved. It includes data from a 2017 survey of 110 life insurers regarding tobacco, alcohol and drug use underwriting.