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What We Have Learned in the Last50 Years—and Aren’t Using
What We Have Learned in the Last50 Years—and Aren’t Using This article reviews underwriting and why it has remained unchanged for 50 years. The unhealthy lifestyles of Americans are examined.- Authors: Chris E Stehno
- Date: May 2006
- Competency: External Forces & Industry Knowledge>Actuarial theory in business context
- Publication Name: Health Watch
- Topics: Health & Disability>Health care; Technology & Applications>Analytics and informatics
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Building Actuarial Cost Models From Health Care Claims Data
Building Actuarial Cost Models From Health Care Claims Data Using Healthcare Claims Data to Create Actuarial Models. Business intelligence;Data mining=Big data;Managed care 6442476744 6/1/2017 12 ...- Authors: William Bednar
- Date: Jun 2017
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; Results-Oriented Solutions>Actionable recommendations; Strategic Insight and Integration>Influence decisions; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Health Watch
- Topics: Health & Disability>Health insurance; Technology & Applications>Analytics and informatics; Technology & Applications>Business intelligence
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The Dawn of the Machine- to- Machine Age and Its Implications for Insurance
The Dawn of the Machine- to- Machine Age and Its Implications for Insurance As M2M are exponentially increasing, we will soon see reinventing of whole business models and customer relationships.- Authors: Syed Danish Ali
- Date: May 2018
- Competency: Leadership>Thought leadership; Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Actuary of the Future
- Topics: Predictive Analytics; Technology & Applications>Analytics and informatics
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Small Talk, March 2018, Issue 49
Small Talk, March 2018, Issue 49 Read the March 2018 issue of Small Talk published by Smaller Insurance Company Section. Practical information on trends that impact sections and activities. Risk ...- Authors: Society of Actuaries
- Date: Feb 2018
- Competency: Technical Skills & Analytical Problem Solving>Incorporate risk management; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Small Talk
- Topics: Technology & Applications>Analytics and informatics
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GDPR Implications in Actuarial Work
GDPR Implications in Actuarial Work Applying the new GDPR terms to Actuarial work, to secure private data in portfolios while using those for pricing and reserving modelling in all business ...- Authors: Carlos Arocha, PETRA WILDEMANN
- Date: Sep 2018
- Competency: External Forces & Industry Knowledge>External forces and business performance; Professional Values>Ethical standards; Results-Oriented Solutions>Actionable recommendations; Technical Skills & Analytical Problem Solving>Incorporate risk management
- Publication Name: International News
- Topics: Actuarial Profession>Standards of practice; Enterprise Risk Management>Compliance; Technology & Applications>Analytics and informatics; Technology & Applications>Data warehousing
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From Deep Blue to DeepMind: What AlphaGo Tells Us
From Deep Blue to DeepMind: What AlphaGo Tells Us A discussion on artificial intelligence. Analytic;informatics;Predictive modeling 6442470450 7/1/2016 12:00:00 AM ...- Authors: Haofeng Yu
- Date: Jul 2016
- Competency: Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Technology & Applications>Analytics and informatics
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Appendix B: How to Build a Model
Appendix B: How to Build a Model This actually is a copy of an appendix of a research paper sponsored by the SOA Committee on Finance Research. You can read the entire research paper: “Lapse ...- Authors: Dihui Lai, Scott Rushing, Minyu Cao, Timothy Rozar, Qichun Xu
- Date: Jul 2015
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Technology & Applications>Analytics and informatics
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Creating a Useful Training Dataset for Predictive Modeling
Creating a Useful Training Dataset for Predictive Modeling Even the best algorithms are only effective if they are trained on appropriate data. This article discusses common pitfalls in creating ...- Authors: Anders Larson
- Date: Dec 2016
- Competency: Professional Values>Practice expertise; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Forecasting; Predictive Analytics; Technology & Applications>Analytics and informatics
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The Why of Data Visualization
The Why of Data Visualization A look at the importance of thinking more deeply about data visualization and how improving your data visualization approaches can make you more effective as an ...- Authors: Mary Campbell
- Date: Mar 2016
- Competency: Communication>Persuasive communication
- Publication Name: CompAct
- Topics: Actuarial Profession>Best practices; Technology & Applications>Analytics and informatics
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I Am Speed Change
I Am Speed Change How the speed of change is accelerating and how we could react to this as a profession. 3/24/2020 12:00:00 AM ...- Authors: Alan Gard
- Date: Mar 2020
- Competency: External Forces & Industry Knowledge; Leadership; Results-Oriented Solutions
- Publication Name: Actuary of the Future
- Topics: Technology & Applications; Technology & Applications>Analytics and informatics; Technology & Applications>Artificial intelligence & machine learning; Technology & Applications>Cyber risk