PPT-The Impact of Predictive Analytics on Reserving

Author : min-jolicoeur | Published Date : 2017-06-08

Brian Z Brown FCAS MAAA Principal and Consulting Actuary Stan Smith Predictive Analytics Consultant April 29 2016 Advancements In Reserving Use of stochastic methods

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The Impact of Predictive Analytics on Reserving: Transcript


Brian Z Brown FCAS MAAA Principal and Consulting Actuary Stan Smith Predictive Analytics Consultant April 29 2016 Advancements In Reserving Use of stochastic methods Advancements in computing power have allowed for more sophisticated reserving methodologies. San Francisco. , February 19, 2009. The Unrealized Power of Data. Andreas Weigend. people & data. Outline. Q: Current bottleneck for you in your business? (Scarce . vs. abundant)?. Historical perspective. December 2013, Jakub Miarka, University of Leeds. RapidMiner. Formerly called . YALE. (Yet Another Language Environment). Environment for . machine learning, data and text mining, predictive and business analytics. Team: The Game of Life . Charlie Andres, Long Du, Taylor Gallegan, Jessica Santos, Christopher Werner. 4/7/17. Uconn Goldenson Center Case Study; Case Study Courtesy of Prudential. Project Goals. Using Predictive Analytics in Experience Studies. Class 5. Tony Cox. tcoxdenver@aol.com. . University of Colorado at Denver. Course web site: . http://cox-associates.com/6330/. . What is a predictive model?. “The probability that X will happen is p” is a predictive model. Federal Big Data Working Group Meetup. November 3, 2014. Dave Vennergrund. Director Predictive Analytics and Data Science. David.Vennergrund@salienfed.com. 571 766 2757. Salient Data Analytics Center of Excellence. sfhornbuckle@photizogroup.com. Predictive Analytics. Turning Data into Profits. Photizo Group. Who We Are. ….. Who is . Photizo. Group?. We wake up in the morning, brew imaging, and drink it all day.. is the use of:. data, . information technology, . statistical analysis, . quantitative methods, and . mathematical or computer-based models . to help managers gain improved insight about their business operations and . is the use of:. data, . information technology, . statistical analysis, . quantitative methods, and . mathematical or computer-based models . to help managers gain improved insight about their business operations and . Pregnant: . Predicting . T. he Future Of Predictive Analytics In Healthcare. Dale Sanders . SVP Strategy . Health Catalyst. To . what degree is your organization using predictive analytics to improve care were reduce cost?. C. ultural . E. ntrepreneurship. @. andyhamflett. WHY AM I HERE?. DATA = BAD. DATA = BAD. DATA = BAD. DATA = MISUNDERSTOOD?. SESSION OUTLINE. SESSION OUTLINE. SESSION OUTLINE. BIG DATA – QUÉ?. @AAM_Associates @andyhamflett . NIH – Project Management Community Meeting – . November 9, 2011. Contact Information. Jon . Desenberg. Policy Director. The Performance Institute . 805 15. th. Street N.W. 3. rd. Floor. Washington, DC 2005. Coping with uncertain futures. Dr Christophe Lazaro (. UCLouvain. ). Dr Marco Rizzi (UWA Law School). Introduction – technological context. development of artificial intelligence (AI) and digitization of life . 1. UNOS Labs. 2. UPDATE: Understanding CIT Project. 3. Components of CIT . (not to scale). 4. Procurement. Transit. Transplant. Clamp Time. Departure. Offer . Acceptance. Delivery Time. Transplant Time. By . Shepherd Fungura, . BCom. , FASSA, FIA. President of Actuarial Society of Zimbabwe . Group Chief Risk Officer at Old Mutual Zimbabwe. @. Insurance Institute of Zimbabwe Winter School – Monday 22 August 2016.

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