Description: Actuaries have a long history with stochastic modeling. Nested stochastic modeling is often used when the modeling components under each economic scenario are themselves determined by stochastic scenarios in the future. In this paper three methods have been suggested that can be added on top of existing enhancement methods to improve NSM efficiency.

Description: File for 2020 DATA VISUALIZATION CONTEST

Description: Business success in the future depends on assumptions we make today. However, we operate in a dynamic environment and cannot know with certainty what lies ahead. Addressing the challenge requires a synergy between data science, expert judgement, and decision making to spot changing drivers of key risks and respond with appropriate business action. We will be presenting development of such an "ecosystem" technically enabled by Natural Language Processing to monitor and detect signals from news streams. NLP is of increasing importance for insurance companies. Additional application examples are available in session 23.

Description: This abstract describes a paper that studies statistical models for records of data breaches due to cyber security incidents since 2005 collected by Privacy Rights Clearinghouse.

Description: Read the October 2020 issue of Actuarial Technology Today published by the Technology Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: The predictive analytics application growth in the Asia-Pacific region has been gaining momentum.

Description: Section Chair's column mentioning highlights from 2010 that will continue to be major initiatives in 2011.

Description: Discusses volunteering for the actuarial profession in general and solicits articles for the CompAct newsletter in particular.

Description: Describes some popular current apps for actuaries.

Description: Chair highlights some of the key issues and hot topics for the Technology Section.