Revolutionary: Eye on Big Data, Medicine and Underwriting
A multidisciplinary revolution is underway that bridges advances in IT, medical science and underwriting.
Is Automation Going to Put an End to the Underwriting Profession?
Recently, the jobs website CareerCast.com completed a study and published a list of the “10 Most Endangered Jobs of 2015." Right there at position #9 is the good ol’ insurance underwriter, with streamlined processes cited as the main culprit.
The Accuracy of Prediction Models in Life Underwriting
According to IBM, 90% of all the data in the world has been created in the past two years. Each of us is utilizing and providing data every time we log in to our computers, browse the Internet or simply drive down the highway with our iPhone in our pocket. The challenge for every industry is how to harness and effectively utilize that data to drive more profitable business.
Predictive Modeling in Underwriting (Slides)
Presentation given at the 2015 SOA Annual Meeting by Barry Senensky.
Underwriting Presentations from the 45 Annual M.U.D. Group Conference
Conference presentations have been posted at the M.U.D. Group website. They include:
- General Neurology: “Mind Bending” Underwriting Conundrums
- Medical Adherence: Practical Insight for underwriters
- Tumor Case Clinic: Breast, Prostate, Melanoma
- MVR's: Why Should I Care?
- Different Smokes for Different Folks
- Predictive Modeling in Underwriting: Proving The Science Behind The Theory - Mortality Implications and Correlations
- Multicultural Market and Foreign Risk Challenges - Ask the Experts
Predictive Analytics Articles (SOA)
The Society of Actuaries is providing a selection of articles on the use of predictive modeling. Articles included in the PDF package:
- Risk Segmentation: Application of Predictive Modeling in Life Underwriting
- Predictive Modeling Techniques Applied to Quantifying Mortality Risk
- Utilizing Frequent Itemsets to Model Highly Sparse Underwriting Data
- Producing Actionable Insights from Predictive Models Built Upon Condensed Medical Records
- Predicting Emergency Room Frequent Flyers