Description
In 2014 Chris Dixon Tweeted that "A data scientist is a statistician who lives in San Francisco." Dixon went on to say that a data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician. So much for statisticians. How do actuaries compare to data scientists? Is insurance acumen the only difference? Which profession has the best prognosis for a thriving future? As actuaries develop broader and deeper predictive modeling and Big Data skills will more work in alternative careers outside mainstream insurance? Join our panel as they discuss the past, present and future of these two analytics tribes.
Contributors
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Claudine Modlin
Claudine Modlin is an FCAS with over 25 years of P&C insurance experience. She is a recognized expert in predictive analytics and currently leads Willis Towers Watson’s North American P&C efforts in the areas of pricing, product management, claims analytics and underwriting. She brings technical expertise, practical implementation advice and a clear communication style suited to management-focused audiences.
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Shane Barnes
Shane Barnes is the head of Claims Analytics for USAA Property & Casualty Insurance Group. He is responsible for the data and analytics strategy and execution for claims.
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Stephen Mildenhall
Stephen Mildenhall has worked in the insurance industry since 1992. Most recently, he was an Assistant Professor at St. John’s University, New York. Between 2003 and 2016 he worked at Aon, including roles as Global CEO of Analytics for Aon plc, based in Singapore, and as head of Aon Reinsurance Analytics. Previously, he was Vice President of Actuarial Pricing for Kemper Insurance. He began his career at CNA, holding positions in CNARe and CNA Personal Lines. Steve serves on the Board of the Casualty Actuarial Society and is Chair of the CAS Audit Committee. He is an FCAS, CSPA and CCRMP.