Casualty Actuarial Society

What Actuaries Need to Know About Data Science Webinar Rebroadcast

What Actuaries Need to Know About Data Science Webinar Rebroadcast

Thursday, February 23
12 PM Hong Kong (GMT+8)
3 PM Sydney
9:30 AM Delhi

Registration for this event is now closed. If you are still interested in attending and would like to be placed on the waitlist, please fill out the form at

Rebroadcast Information

A streamed recording of the original "What Actuaries Need to Know about Data Science" webinar is being made available complimentary to a time convenient to our members in the Asia Pacific region.

* Please note that interaction in the rebroadcast is limited, but questions will be collected and answered after the event. There is a limited number of seats, so sign up early.

Session Description

For many years, actuaries have been at the forefront of extracting insights from different datasets in insurance industry. For the past few years, a new field has emerged called data science — mostly driven by cheap computing and storage capacity, various sources of easily available data and an unprecedented access to a large class of algorithms. Session presenters will first talk about the historical context of data science and use Drew Conway's definition of data scientist: someone with hacking/coding skill + mathematical & statistical knowledge + subject matter expertise. Presenters will expound on each of these skillsets and will share where actuaries have some solid advantage and where they could focus further. In the remaining part of the session, presenters will "peek under the hood" of different machine-learning concepts (variance-bias trade-off and regularization) and algorithms (GLM and GAM to more advanced tree based algorithm such as random forest and boosted trees). Presenters will illustrate the predictive power and ease of use of these newer machine-learning techniques and their applicability and usage in different insurance related problem solving.

This session may provide attendees with 1.8 CE hour.

Please note that audio for this presentation will be streamed via GotoWebinar. In order to join the webinar in a timely manner, please be sure to prepare your computer in advance of the presentation per the system requirements and instructions (TEST YOUR COMPUTER).

Intended Audience

This webinar is open to CAS Members and Non-Members. Members with any level of experience are encouraged to attend.


The opinions expressed by speakers at this event are their own and do not necessarily reflect the opinions of the CAS.


Jeremy Achin
CEO & Co-founder
DataRobot, Inc
Jeremy has over 10 years of experience building and implementing predictive models. He is currently CEO of DataRobot, a venture-backed predictive analytics software company. Previously, he was Director of Research and Modeling at Travelers Insurance where he built predictive models for pricing, retention, conversion, elasticity, lifetime value, customer behavior, claims and much more. In his spare time, Jeremy builds more predictive models, usually on the data science competition platform

Jim Guszcza
Chief Data Scientist
Deloitte Consulting

Jim is the Chief Data Scientist for Deloitte Consulting, where he has built and supervised the building of predictive models for a variety of problems both within and outside of the insurance industry. He has also served as a professor of actuarial science at the University of Wisconsin-Madison, and prior to joining Deloitte worked at the Allstate Research and Planning Center. Since 2006 Jim has taught the CAS limited attendance seminar on predictive modeling. Jim is a Fellow of the Casualty Actuarial Society and a member of its Board of Directors.

Registration Information and Fees

Registration for this event is now closed. If you are still interested in attending and would like to be placed on the waitlist, please fill out the form at


Registrations fees will be refunded for cancellations received in writing at the CAS Office via fax, 703-276-3108, or email,, by January24, 2017 less a $50 processing fee.

CAS Continuing Education Policy

The CAS Continuing Education Policy applies to all ACAS and FCAS members who provide Actuarial Services. Actuarial Services are defined in the CAS Code of Professional Conduct as "professional services provided to a Principal by an individual acting in the capacity of an actuary. Such services include the rendering of advice, recommendations, findings or opinions based upon actuarial considerations." Members who are or could be subject to the continuing education requirements of a national actuarial organization can meet the requirements of the CAS Continuing Education Policy by satisfying the continuing education requirements established by a national actuarial organization recognized by the Policy. For further information regarding the CAS Continuing Education Policy please visit the CAS web site.

CAS Webinars may qualify for up to 1.8* CE** Credits for CAS members. Participants should claim credit commensurate with the extent of their participation in the activity. CAS members earn 1 CE Credit per 50 minutes of educational session time, not to include breaks and/or lunch.

*The amount of CE credit that can be earned for participating in this activity must be assessed by the individual attendee. It also may be different for individuals who are subject to the requirements of organizations other than the Casualty Actuarial Society.

**This event does not qualify for Organized CE.


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