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Medical underwriting triage: An end-to-end machine learning case study
Medical underwriting triage: An end-to-end machine learning case study PartnerRe Life and Health is ... in global markets. This growth means that our medical underwriting team has to handle 25 percent more ...- Authors: Jerome Matrundola
- Date: Sep 2019
- Competency: Strategic Insight and Integration
- Topics: Life Insurance>Underwriting - Life Insurance; Technology & Applications>Artificial intelligence & machine learning
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Medical underwriting triage: An end-to-end machine learning case study
Medical underwriting triage: An end-to-end machine learning case study PartnerRe Life and Health is ... in global markets. This growth means that our medical underwriting team has to handle 25 percent more ...- Authors: Alexis Iglauer
- Date: Sep 2019
- Competency: Strategic Insight and Integration
- Topics: Life Insurance>Underwriting - Life Insurance; Technology & Applications>Artificial intelligence & machine learning
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Building digital and data driven insurance operation ecosystem
impacting the health insurance operations on 3 core challenges. Document processing: A lot of documents ... generated in the healthcare ecosystem, medical reports, diagnosis, invoices etc. Currently most of the documents ...- Authors: Chun King Lee
- Date: Sep 2019
- Competency: External Forces & Industry Knowledge; Results-Oriented Solutions; Strategic Insight and Integration
- Topics: FinTech & InsurTech>Customer acquisition; FinTech & InsurTech>Disruption; Technology & Applications>Artificial intelligence & machine learning; Technology & Applications>Audio-visual; Technology & Applications>Automation
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Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) - Moving Beyond Basic Neural Networks for Innovative Advantages
Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs) - Moving Beyond ... regression solutions to numeric problems. CNNs add the ability to classify images, and GANs can create new ...- Authors: David Snell, Balathasan Giritharan
- Date: Nov 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Technology & Applications>Artificial intelligence & machine learning; Technology & Applications>Visualization
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Session 091: The Future is Now: InsurTech Ignite!
Session 091: The Future is Now: InsurTech Ignite! Ignite-style presentations feature presenters with ... seconds. The result is a fast and fun presentation which lasts just five minutes. The first portion of this ...- Authors: Christine Hofbeck, Jane Wang, Martin Snow, Joseph Wurzburger, Erik Wenzel
- Date: Feb 2020
- Competency: External Forces & Industry Knowledge
- Topics: Technology & Applications; FinTech & InsurTech; FinTech & InsurTech>Disruption; Technology & Applications>Artificial intelligence & machine learning
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AI for Actuaries
expected to change the insurance industry more in the next 10 years than it has changed in the past 100 years ... Rapid advancements in computing power and the exponential growth of Big Data are creating more opportunities ...- Authors: William Yap
- Date: Sep 2019
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Topics: Technology & Applications>Artificial intelligence & machine learning
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Session 23: ALL - Natural Language Processing in the Insurance Industry
Session 23: ALL - Natural Language Processing in the Insurance Industry Natural Language Process (NLP) ... Word Embeddings are pervasive on a wide spectrum of NLP applications. These word representations improve ...- Authors: Mengchu Tsai, Xiaojie Wang
- Date: Sep 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Technology & Applications; Technology & Applications>Analytics and informatics; Technology & Applications>Business intelligence; Technology & Applications>Artificial intelligence & machine learning
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Session 190: Getting Started with Predictive Analytics: Kaggle Competitions
meets the needs of actuaries interested in predictive analytics and competitive data science. The presentation ... presentation will describe the nature of competitive data science, and provide insights into lessons learned ...- Authors: Nathan Dennis Pohle, Maria Wellen
- Date: Mar 2020
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods; Technology & Applications; Technology & Applications>Artificial intelligence & machine learning
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Session 18: AP - Using Predictive Models for Life Insurance Assumptions
for assumption setting (mortality, lapse, etc.). The multivariate approach has its advantages in handling ... address how the model is applied and its business implications. This session will share the learnings from ...- Authors: Rosmery Cruz, Dihui Lai
- Date: Sep 2019
- Competency: Strategic Insight and Integration
- Topics: Actuarial Profession>Best practices; Actuarial Profession>Management skills; Technology & Applications>Artificial intelligence & machine learning