Predictive Analytics Symposium

 

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Agenda Day 1 | Agenda Day 2 | Agenda Day 3


 

Track Legend

B/I - Beginner/Implementer
M/S - Manager/Supervisor
AP - Advanced Practitioner

Thursday, Sept. 14
7:00 a.m.–5:00 p.m.
Registration
7:00–8:00 a.m.

Moderator(s): Robert Anders Larson, FSA, MAAA

Presenter(s): Vincent J. Granieri, FSA, EA, MAAA; Geoffrey R. Hileman, FSA, MAAA; Robert Anders Larson, FSA, MAAA; David L. Snell ASA, MAAA

8:00–9:15 a.m.

Presentation(s): View Presentation

Competency: External Forces & Industry Knowledge

Moderator(s): David L. Snell ASA, MAAA

Presenter(s): Peter Banthorpe; James C. Guszcza, FSA, FCAS

What do the heads of the predictive analytics function in various insurance firms have to share about the topic?

SOA President Jeremy J. Brown, FSA, MAAA, will provide an introduction on the many opportunities for actuaries in working with predictive analytics.

Track: All

Session Coordinator(s): David L. Snell ASA, MAAA and Priyanka Srivastava

9:15–9:30 a.m.
Refreshment Break
9:30–10:45 a.m.

Presentation(s): View Presentation

Competency: Relationship Management & Interpersonal Collaboration

Moderator(s): Eileen Sheila Burns, FSA, MAAA

Presenter(s): Peter Banthorpe; John D. Houston, FSA, MAAA

Building a data science team including hiring and retaining talent. Bringing different skill sets to the table such as data engineers, data scientists and data storytellers. Where do actuaries fit into this picture? How do actuaries work with data scientists (friend or foe)? How to get a job in this new area.

Track: Manager/Supervisor

Session Coordinator(s): Eileen Sheila Burns, FSA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Timothy S. Paris, FSA, MAAA

Presenter(s): Mary Pat Campbell, FSA, MAAA

A quick introduction to the spectrum of predictive analytics--from regression analysis to neural networks and machine learning in one hour.

Track: Beginner/Implementer

Session Coordinator(s): David L Snell ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Martin Snow, FSA, MAAA

Presenter(s): Christian D. Klose, Ph.D.

Deep learning is the magic buzzword in neural networks. It takes on many forms, industry leaders will discuss how deep learnings differ, which to choose and discuss some advanced applications.

Track: Advanced Practitioner

Competency: External Forces & Industry Knowledge

Moderator(s): Min Mercer, FSA, MAAA

Presenter(s): Chris E. Stehno

New data sources such as electronic health records, social media and the Internet of Things are dramatically changing the way we get our information for predictive analytics.

Track: All

Session Coordinator(s): Jeffrey Robert Huddleston, ASA, CERA, MAAA

10: 45–11:00 a.m.
Break
11:00 a.m.–12:15 p.m.

Presentation(s): View Presentation

Competency: External Forces & Industry Knowledge

Moderator(s): Priyanka Srivastava

Presenter(s): Dihui Lai, Ph.D.; Nitin Nayak, Ph.D., MBA; Jason L. VonBergen, FSA, MAAA

How insurers are applying predictive analytics to improve their business: examples from risk assessment--application triage, underwriting, guaranteed insurability and telematics.

Track: Manager/Supervisor

Session Coordinator(s): Priyanka Srivastava

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Stuart Klugman, FSA, CERA, Ph.D.

Presenter(s): Brian Charles Grossmiller, FSA, FCA, MAAA; David L. Snell, ASA, MAAA

Genetic algorithms represent a new tool with billions of years-of validation. Learn what they are, how to use them and how they can work with neural networks. Leave with a free tool to implement them in your company.

Track: Advanced Practitioner

Session Coordinator(s): David L. Snell, ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Nicholas Scott Hanewinckel, FSA, CERA

Presenter(s): Melissa Carruthers, FSA, FCIA; Ben Johnson

The language R is terse, powerful, free and able to run on several different machine platforms and operating systems. Fluency in R may soon become a selection factor in getting your next job. This session will show you some of the predictive power you can have beyond spreadsheets. It will teach you how to get started in the new world of predictive analytics.

Track: Begginer/Implementer

Session Coordinator(s): David L. Snell, ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Geoffrey R. Hileman, FSA, MAAA

Presenter(s): Matthias Kullowatz; Marjorie A. Rosenberg, FSA

Unsupervised learning techniques are useful when actuaries want to reduce the number of dimensions in the data to define clusters of similar entities. This session will introduce one technique to better account for covariates (like race) that are categorical, as well as a second technique that handles missing values intuitively. We apply these techniques to data from the National Health Interview Survey and to third-party-enriched variable annuity data, respectively, to illustrate their viability. G52

Track: All

Session Coordinator(s): Marjorie A. Rosenberg, FSA

12:15–1:15 p.m.

Gather for lunch and break into groups by areas of practice or level PA knowledge to network and share your experiences.

1:15–2:05 p.m.

Presentation(s): View Presentation

Competency: Strategic Insight and Integration

Moderator(s): Jeffrey Robert Huddleston, ASA, CERA, MAAA

Presenter(s): Loretta J. Jacobs, FSA, MAAA; David A. Moore, FSA, MAAA

How has predictive analytics shown a return on investment? Hear actual stories from real applications.

Track: Manager/Supervisor

Session Coordinator(s): Jeffrey Robert Huddleston, ASA, CERA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Min Mercer, FSA, MAAA

Presenter(s): Mary Pat Campbell, FSA, MAAA; Michael Cletus Niemerg, FSA, MAAA

How does an actuary supplement current skills to enable a move into predictive analytics?

Track: Beginner/Implementer

Session Coordinator(s): David L. Snell, ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Robert Anders Larson, FSA, MAAA

Presenter(s): Boyi Xie, Ph.D.

Machine Learning may be the next step beyond predictive analytics. Learn what it means and how it works.

Track: Advanced Practitioner

Session Coordinator(s): David L. Snell, ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Eric D. Halpern, FSA

Presenter(s): Jeff T. Heaton, Ph.D.

An introduction to R, Python, SQL, Excel, MatLab, SAS, Julia, mix and match, for usage in predictive analytics. Each langagues relative advantages will also be discussed.

Track: All

Session Coordinator(s): David L. Snell, ASA, MAAA

2:05–2:20 p.m.
Break
2:20–3:10 p.m.

Presentation(s): View Presentation

Competency: Results-Oriented Solutions

Moderator(s): Timothy S. Paris, FSA, MAAA

Presenter(s): Vincent J. Granieri, FSA, EA, MAAA

How insurers are applying predictive analytics to improve their business: examples from claims--fraud detection, claims handling, health care management and more.

Track: Manager/Supervisor

Session Coordinator(s): David L. Snell, ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Rohan Noel Alahakone, ASA, MAAA

Presenter(s): Rosmery Cruz

Sometimes, simple mathematical equations outperform very complex ones in PA situations. Learn why, and how to guard against that and other items that might not be intuitive.

Track: Beginner/Implementer

Session Coordinator(s): David L. Snell, ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Benjamin David Kester, FSA

Presenter(s): Marjorie A. Rosenberg, FSA

Actuaries are familiar with logistic regression and probit regression. However, how do you model an outcome when there is a distinct order in the dependent variable? This session will introduce attendees to ordinal logistic modeling and motivate the technique with an application in predicting perceived health status and health expenditures.

Track: Advanced Practitioner

Session Coordinator(s): Marjorie A. Rosenberg, FSA

Presentation(s): View Presentation

Competency: External Forces & Industry Knowledge

Moderator(s): Brad Lipic

Presenter(s): Annie C. Bai, Esq., CIPP/US, CIPM, FIP; Keith Carlson

Don't be the person who causes your company to be fined four percent of total global revenue. Big data has attracted the attention and ire of regulators and privacy advocates globally-from the European Commission to the US's FTC and state lawmakers. However, there are only some laws in place; there are still many gaps in the legislative landscape. This is a time to proactive and strategic about compliance. Approaches such as privacy by design, privacy-enhancing technologies, self-regulation and ethical standards will help the industry to maximize its analytics endeavors while ensuring their longevity even under future legal scrutiny.

Track: All

Session Coordinator(s): Brad Lipic

3:10–3:30 p.m.
Refreshment Break
3:30–4:20 p.m.

Presentation(s): View Presentation

Competency: Results-Oriented Solutions

Moderator(s): Priyanka Srivastava

Presenter(s): Matt Olson; Xiaojie Wang, FSA, CERA

How insurers are applying predictive analytics to improve their business: examples from marketing and distribution--target marketing, efficient distribution, customer engagement, customer experience, messaging, chat bots and more.

Track: Manager/Supervisor

Session Coordinator(s): Sarah R. Hinchey, FSA, CERA, MAAA and Priyanka Srivastava

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Robert Anders Larson, FSA, MAAA

Presenter(s): Richard Xu, FSA, Ph.D.

Learn the basics of the predictive analytics foundations, what distributions and models to use, and what can go wrong.

Track: Beginner/Implementer

Session Coordinator(s): David L. Snell, ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Stuart Klugman, FSA, CERA, Ph.D.

Presenter(s): Jeff T. Heaton, Ph.D.

Bring your laptop to experience this deep learning neural network tool offered free from Google.

Track: Advanced Practitioner

Session Coordinator(s): David L. Snell, ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Rohan Noel Alahakone, ASA, MAAA

Presenter(s): Gourab De

Interactive demonstrations of how to get started (or how to move to the next level) in predictive modeling.

Track: All

Session Coordinator(s): David L. Snell, ASA, MAAA

4:20–4:35 p.m.
Break
4:35 – 5:25 p.m.

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Stuart Klugman, FSA, CERA, Ph.D.

Presenter(s): Peter Wu, ASA, FCAS, MAAA

How insurers are applying predictive analytics to improve their business: examples from general insurance--auto, home, umbrella and more.

Track: Manager/Supervisor

Session Coordinator(s): Stuart Klugman, FSA, CERA, Ph.D.

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Robert Anders Larson, FSA, MAAA

Presenter(s): Dihui Lai, Ph.D.

Learn more basics of PA techniques.

Track: Advanced Practitioner

Session Coordinator(s): David L. Snell, ASA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Eric D. Halpern, FSA

Presenter(s): Kyle A. Nobbe, FSA, MAAA; Neal Shah, ACS, ALMI

Like the offensive line of a football team, creating tidy data is not the most glamorous component of predictive analytics. However, it is the crucial starting point of any successful modeling project that protects you from being blindsided by a bad model later in your process. In this session, learn about the foundations and best practices of tidy data through 2 case-studies: 1) a traditional morbidity experience study using 3rd party Asian health data, and 2) an industry survey on contract holder surrenders from US annuities.

Track: Beginner/Implementer

Session Coordinator(s): Kyle A. Nobbe, FSA, MAAA

Presentation(s): View Presentation

Competency: Technical Skills & Analytical Problem Solving

Moderator(s): Jason Theodore Ash, FSA, MAAA, CERA

Presenter(s): Adnan Haque - Atlanta-MARC

Learn how these free notebooks can mix and match R, Python, and other languages and to build in self-documentation. These can even work on multiple types of computing platforms (Windows, iOS, Linux)

Track: All

6:00–7:00 p.m.
Networking Reception

Back

Legend

Communication

Demonstrating the listening, writing and speaking skills required to effectively address diverse technical and nontechnical audiences in both formal and informal settings.

Professional Values

Adhering to standards of professional conduct and practice where all business interactions are based on a foundation of integrity, honesty and impartiality.

External Forces & Industry Knowledge

Identifying and incorporating the implications of economic, social, regulatory, geo-political and business changes into the design and delivery of actuarial solutions.

Leadership

Initiating, innovating, inspiring, creating or otherwise acting to influence others regardless of level or role toward a common goal.

Relationship Management & Interpersonal Collaboration

Creating mutually beneficial relationships and work processes toward a common goal.

Technical Skills & Analytical Problem Solving

Applying the actuarial knowledge, skills and judgment required to provide value-added services.

Strategic Insight & Integration

Anticipating trends and strategically aligning actuarial practice with broader organizational business goals.

Results-Oriented Solutions

Providing effective problem solving that addresses relevant interests and needs.