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Session 6: Customer Segmentation and Profitability Analysis
Session 6: Customer Segmentation and Profitability Analysis This session will cover clustering techniques generally (k-means, hierarchical), and how k-means have been used to segment ...- Authors: Talex Diede, Michael Niemerg
- Date: Oct 2018
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Predictive Analytics
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Session 45: Assessing Credibility of Predictive Model
Session 45: Assessing Credibility of Predictive Model This session will review limited fluctuation credibility, and how to apply that approach to a GLM. Alternative credibility approaches through ...- Authors: Matthias Kullowatz, Brian Campbell
- Date: Sep 2018
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Predictive Analytics
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Session 3: Delphi - The Time Tested Non-Quantitative Prediction Tool
Session 3: Delphi - The Time Tested Non-Quantitative Prediction Tool The Delphi method is a non-quantitative forecasting approach that is most useful when other forecasting techniques appear to ...- Authors: Dorothy Andrews, Jack T Kerbeshian
- Date: Sep 2018
- Competency: Results-Oriented Solutions
- Topics: Predictive Analytics
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Introduction to PMML in R
Introduction to PMML in R Introduction to PMML and how to use of it in the R programming language. PMML is an interchange format for predictive models. predictive modeling 6442483963 8/1/2018 12: ...- Authors: Jeff T Heaton
- Date: Aug 2018
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Predictive Analytics and Futurism
Predictive Analytics and Futurism Read the August 2018 issue of Predictive Analytics and Futurism newsletter published by the Predictive Analytics and Futurism Section. predictive ...- Authors: Society of Actuaries
- Date: Aug 2018
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Predictive Analytics
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Session 34: Predictive Analytics (PA) – A Disruptive Force in Life Insurance Underwriting
Session 34: Predictive Analytics (PA) – A Disruptive Force in Life Insurance Underwriting Predictive models have disrupted the traditional underwriting process. In this session, we will review a ...- Authors: Jeevan Duggempudi, Gregory Heck, Vincent Granieri
- Date: Nov 2018
- Competency: Relationship Management
- Topics: Predictive Analytics
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Why Actuaries Should Welcome Automation
Why Actuaries Should Welcome Automation Why Actuaries Should Welcome Automation Futurism;Process Redesign;Artificial intelligence;Technology;Automation;Robotics 6442483966 8/1/2018 12:00:00 AM ...- Authors: Nathan Dennis Pohle, Darryl Wagner
- Date: Aug 2018
- Competency: Leadership>Change management; Strategic Insight and Integration>Big picture view; Strategic Insight and Integration>Strategy development; Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Actuarial Profession>Alternative careers; Actuarial Profession>Competencies; Actuarial Profession>Professional development; Actuarial Profession>Traditional careers; Predictive Analytics
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How credible is a predictive model?
How credible is a predictive model? The article recaps existing ideas for assessing credibility and describes questions remaining to be answered. predictive modeling;credibility ...- Authors: Eileen Burns
- Date: Aug 2018
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Credibility theory; Predictive Analytics
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Session 36: Model Governance in an Open Source World
Session 36: Model Governance in an Open Source World Actuarial tools now include both open and closed source software; both need a strong model governance framework to mitigate potential sources ...- Authors: Dorothy Andrews, Society of Actuaries, Rohan Noel Alahakone
- Date: Sep 2018
- Competency: Professional Values
- Topics: Predictive Analytics