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Viewing 1 to 25 of 6617 results
Source: 2022 Annual Meeting
Type: General Session
Moderators: Steve Belden
Panelists: Deniz Cultu ; Stephen Belden; Holly Price
Keywords: Leadership

GS-3: Embedded Insurance and How It Could Change the Industry Landscape

As technology has evolved so have economies and market dynamics. Embedded insurance has entered the scene as an area with rapid growth potential in a shifting insurance distribution paradigm. This session will bring in thought leaders in the space to not only define embedded insurance but also explore the opportunities and challenges it could present for the industry.
Source: 2022 Annual Meeting
Type: General Session
Moderators: Adrian Jones
Panelists: Joshua Snead; Michael Meeks; Cole Platt
Keywords: Emerging Issues

GS-2: Key Risks and Opportunities: Today and Tomorrow

Source: 2022 Annual Meeting
Type: General Session
Moderators: Katey Walker
Panelists: Sean Kevelighan; Dale Porfilio
Keywords: Emerging Issues

GS-1: Chief Actuary Roundtable: A Discussion on Diversifying the Pipeline and Ensuring All Our Members Thrive

Source: 2022 Annual Meeting
Type: General Session
Moderators: Kathy Antonello
Panelists: Bruce Gifford; Donna Glenn; David Cummings; Wesley Griffiths
Keywords: Leadership

FS-1: Featured Speaker Address: Cathy O'Neil

CAS' Annual Meeting Featured speaker, Cathy O'Neil, PhD., will share her thoughts, analyses and concerns over the uses of data and algorithms to draw incomplete or inaccurate conclusions and what we as a profession can do to level the field. She will address algorithmic auditing in general, and about her framework called explainable fairness in particular. *Introduced by Thomas Holmes, Akur8 ** If you wish to participate via livestream/webcast, this requires a separate registration.
Source: 2022 Annual Meeting
Type: Featured Speaker
Moderators: Kathy Antonello
Panelists: Cathy O'Neil

CS-9: Building the Actuary of the Future

The industry has evolved and so have the skills needed to be a successful actuary and risk expert. This session covers the hard and soft skills that an actuary should strive to possess to maximize their impact and value creation. We will also explore various growth opportunities that exist for actuaries and how those can be personally and professionally rewarding.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Chelsea Adler
Panelists: Dominic Lee; Rafael Costa; Josh Taub
Keywords: Business Skills

CS-8: Autonomous Vehicles: Things an Actuary Should Know

In this session we will speak about autonomous vehicles, how they function, what data is collected and how we can think about quantifying the safety benefits of the technology.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Tilia Gode
Panelists: Tilia Gode; John Scanlon
Keywords: Autonomous Vehicles
The Actuarial Standards Board is proposing changes to ASOP 12 on Risk Classification. Insurance rates in many states shall not be “excessive, inadequate, or unfairly discriminatory.” The actuarial profession has long considered that rates meet those rating laws if the rates are actuarially sound. But understanding the precise meanings of “actuarially sound” and “unfairly discriminatory” requires a more nuance understanding. Today's changing views which reflect the nature of social structures and advances in predictive analytics has caused reconsideration of whether existing notions of unfair discrimination and actuarial soundness might perpetuate socially undesirable inequities in insurance products, services, prices (rates), and availability.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Ron Kozlowski
Panelists: Bob Miccolis; Brian Mullen; Dave Sandberg
Keywords: Professionalism

CS-6: Are MGAs the Future of Underwriting?

This session will provide two actuarial perspectives on what MGAs are, how they work, and what the MGA space looks like in the United States. It will explore some situations where a carrier may consider delegating authority and the types of risk typically involved. Case studies of product innovation in alternative markets, oriented towards addressing the needs of the underserved, will be covered. Operational considerations related to MGAs, including compliance and technology, will also be discussed. The session will be useful to anyone interested in tapping into alternative markets, or simply learning how approaches used in alternative markets can apply in traditional ones.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Jim Weiss
Panelists: Denise Olson; Anju Arora
Keywords: Ratemaking

CS-5: Applications of Gaussian Process Regression Models

Gaussian Processes (GP) are stochastic processes, collections of indexed random variables based on the normal distribution. In the context of statistics these processes are well known and well-behaved objects that have been extensively explored. On the other hand, Gaussian Process Regression (GPR), is a relatively lesser-known procedure based on GP, which can be implemented both for regression and classification problems. GPR can be defined as a supervised non-parametric technique stemming from the Bayesian field. This is a relatively novel technique in the field of Machine Learning, only used in some niche applications. Moreover, its use is nearly unknown in Actuarial Science, with only one analysis published in the literature. The presentation will: a) Briefly review the theoretical foundations behind GPR. b) Show how to apply suitable reserving algorithms based on GPR on typical insurance data sets. c) Compare different approaches in terms of predictive performance and practical usability.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Frank Gribbon
Panelists: Marco De Virgilis; Giulio Carnevale
Keywords: Research

CS-4: Application of Bayesian MCMC to Reserving Noisy Data

This session will present a couple of short case studies illustrating how to estimate reserves by applying Bayesian MCMC concepts on noisy data. The first case study will apply to low frequency / high severity lines of business such as Directors and Officers or Umbrella, where the loss triangle shows zero payments in early development months and the claim severity has a heavy tail. The next case will apply to incorporating changes to reserving models, such as organizational, business, or inflationary changes.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Carl Ashenbrenner
Panelists: Michael Larsen
Keywords: Reserving

CS-33: Winning the Communication Battle

Actuarial work is complicated and difficult to understand and so it is hard for non-actuaries to understand our work. The problem is often exacerbated by actuaries having spent 10,000 or more hours studying technical matters but probably less than 1,000 hours developing communication skills. As actuaries advance in their careers, effective communication becomes more important than analytical work (which can be delegated to capable staff). Also, as actuaries we likely have even less experience in dealing with confrontation which can be critical when communicating bad news. This session will provide a number of suggestions to help you and your staff become better communicators. We will also cover through two vignettes some of the more difficult communication situations that actuaries face (Presenting to Boards and Delivering Bad News).
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Kevin Donnelly
Panelists: Brian Brown; Kathleen Odomirok
Keywords: Business Skills

CS-32: What Everyone Needs to Know About Bitcoin & Crypto

Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Martin Ellingsworth
Panelists: Ravi Sharma
Keywords: Emerging Issues

CS-31: Understanding the Impacts of Climate Change on Atmospheric Perils

Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Carl Ashenbrenner
Panelists: Dan Ward; Michael Tine
Keywords: Climate Change

CS-30: Used is the New New: A Changing Auto Market

Over the last 24 months, the new car market has encountered several major disruptions. It began the pandemic shutdowns depressed the demand side of the market equation, then was exacerbated as drivers transitioned to long-term work-from-home arrangements. Then, as the market began to pick up, plant shutdowns, parts shortages, and supply chain disruptions depressed the supply side of the market equation. The used car market has shifted to fill the gaps in the new car market.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Gary Wang
Panelists: Donald Hendriks; Matthew Moore
Keywords: Personal Lines

CS-3: ADAS: Why Isn't It Working? Or Is It???

Using evidence from the CARFAX Vehicle Insights Program, we will investigate how Advanced Driver Assistance Systems (ADAS) are impacting auto insurers. We will review which features are the effective at reducing claims frequency, and drill into the reasons behind the apparent increase in severity for ADAS-equipped vehicles.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Bryan Brown
Panelists: Donald Hendriks; Matthew Moore; Dushyant Pattni
Keywords: Personal Lines

CS-29: The Tech Spectrum

The line between Insurtech and Traditional insurers has blurred over the years. Every company sits somewhere on the technology spectrum, and it is important to know how companies got to their position as well as which direction they are going. This session will cover the tradeoffs for investments in technology and innovation and the corresponding results, both short-term and long-term, expected from making those investments.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Ryan McMahon
Panelists: Ryan McMahon; Adrian Jones; Bill O'Keefe
Keywords: Business Analytics/Problem Solving

CS-28: Tapping Into the Next Generation of Actuaries

Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Erin Olson
Panelists: Gao Niu; Kristopher Presler; Douglas Bujakowski; Pallav Baruah
Keywords: CAS

CS-27: Take the Pledge--Be an Actuary of the Future!

In her address to new members at the 2021 CAS Annual Meeting, Jessica Leong challenged members to be Actuaries of the Future--to apply our analytical skills to solve business problems with a tangible result. What are some examples of this in practice? How can you meet this challenge? In this session, a panel of Actuarial leaders responsible for hiring and developing actuaries will share tangible examples, ways to start putting this into practice, and answer questions. Please join us, and take the pledge to be an Actuary of the Future!
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Wesley Griffiths
Panelists: Wesley Griffiths; Julia Stenberg; Alejandra Nolibos; Eric Kendig; Jessica Leong
Keywords: Talent

CS-26: Spreadsheets vs R or Python?

Is the actuarial profession changing from using spreadsheets to using programming languages like R or Python? ?Hear some of you?colleagues explain why they have switched! Spreadsheets keep the data in front of the user with the?calculations hidden in the background. ?Traditional coding using R or Python keep the calculations in front of the user, with the data hidden in the background. ?See some real examples on how typical actuarial tasks are being transformed into R and Python.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Liam McGrath
Panelists: Liam McGrath; Kevin Dalton; Patrick Yu
Keywords: Special Topics

CS-25: Penalized Regression - Between Credibility and GBM

"Penalized regression is steadily becoming a mainstream application in ratemaking. There is a momentum in the insurance space with innovation in research, software and production on penalized techniques that build and innovate the standard GLM models. Historically, this technique was popularized by the machine learning literature, and how it is taught is not synchronized with how actuaries approach modeling to solve insurance problems. This should not be the case: the penalized framework is versatile and allows to effectively solve many insurance use cases that are currently tackled via established techniques. First, we will see how, practically and theoretically, Penalized Regressions are effectively Credibility procedures and allow to blend GLM with credibility to reduce overfitting and improve a model’s ability to generalize. Then on the other hand, we will display how Penalized regression can be thought of as GBMs, a powerful but yet completely black box modeling technique. Since Penalized regressions can effectively tie standard Credibility practices and incorporate some of the benefits of GBMs, this presentation aims to contribute the diffusion of these techniques as solid alternatives to standard GLMs for ratemaking."
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Jonathan Charak
Panelists: Guillaume Beraud-Sudreau; Mattia Casotto
Keywords: Predictive Modeling/Analytics

CS-24: Open-Source Actuarial Science with Examples

Actuarial science has been built on the idea of open-science with a rich repository of papers, monographs, and studies made freely available by the CAS. The CAS also has its own GitHub organization, and has allowed the open-science philosophy to be extended to open-source tooling. In this session, we will explore the benefits of open-source tools, and how we can all get involved. We will also dive deeper into the Chainladder-Python library to give a practical example of how these tools and the community that surround them can benefit you and your organization. A live demo will be run in Google Colab. If you want to follow along, all you need is a laptop with a web browser - no prior installation required. Please sign up for the associated round table if you are interested in a hands-on tutorial working session led by the speakers.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Aaron Hillebrandt
Panelists: Kenneth Hsu; John Bogaardt
Keywords: Predictive Modeling/Analytics

CS-23: Mitigation that Matters: A Wildfire Case Study

Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Joshua Merck
Panelists: Margaret Brinkmann; Thomas Larsen
Keywords: Research

CS-22: Introduction to Layered GBM

In this session, the speakers will introduce an innovation on the traditional Gradient Boosting Machine (GBM), which we call Layered GBM. The GBM algorithm has established itself as a strong tool for modelers, but suffers from the reputation as being a complex, black box approach to modeling. We will describe the concept behind the Layered GBM and illustrate how this alternative provides improved interpretability of the model results, without loss of predictiveness, compared to the traditional GBM outputs. We made these adaptions in recognition we are looking at the insurance problem as a whole, and the model outputs need to provide more than a validation of accuracy. This enhanced interpretability can make GBMs more attractive to internal stakeholders and regulators.
Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Nicole E. McArdle
Panelists: Justin Milam; Liam McGrath
Keywords: Predictive Modeling/Analytics

CS-21: Inflation - An Update

Source: 2022 Annual Meeting
Type: Concurrent Session
Moderators: Ben Carrier
Panelists: John Jacobi; Brian Brown
Keywords: Inflation