Life Reinsurance Forum 2019
Speaker 1: Prof John Kelleher, ADAPT and Technological University Dublin
The ADAPT Centre (The Global Centre of Excellence for Digital Content and Media Innovation) is an Irish Government funded research centre based in Dublin and with more than 200 researchers across 4 universities. As well as conducting fundamental or basic research, ADAPT has an active applied research and innovation programme with Industry. John will describe this industry-focussed research programme, the recently launched FinTech Research initiative and specific considerations for the insurance industry.
Speaker 2: Karl Murray & Eamon Comerford – Milliman
Karl Murray and Eamon Comerford from Milliman will outline the results of a recent survey they carried out assessing the use of data science focused on the life re/insurance sector in Ireland. Data science is seen as a way to deliver major benefits in increasing customer engagement, increasing customer satisfaction and retention, increasing sales, improving fraud detection and achieving process efficiency, which is borne out in the results of the survey. The presenters will also discuss the wider data science environment including practical challenges and opportunities in the application of data science techniques.
Speakers 3: John Nolan – Hannover Re & Aisling Bradfield – SCOR
John will share an update on linking traditional valuation models through to an analytics platform including discussion on developing applications. Aisling will discuss using Generalised Linear Models in lapse assumption setting and present some of the benefits, including varying lapse assumptions by factors chosen based on statistical significance and modelling interaction between variables.
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Prof. John D. Kelleher
Prof. John D Kelleher is the Academic Leader of the Information, Communication, and Entertainment (ICE) Research Institute at the Technological University Dublin (TU Dublin), and the Head of the Science Foundation Ireland ADAPT Centre for Digital Content Research at TU Dublin. He is an internationally recognised expert in the field of Artificial Intelligence and Machine Learning and is frequently invited to give keynote presentations at international conferences. Prof. Kelleher has published extensively on Artificial Intelligence and has authored 3 books, all published internationally by MIT Press, in the area of Artificial Intelligence: Fundamentals of Machine Learning for Predictive Data Analytics (2015), Data Science (2018), and Deep Learning (2019).
Karl Murray
Karl is a Senior Consultant with Milliman having joined the firm in 2003. He has worked on various projects involving advanced modelling techniques and leads research & development activities in the Dublin office of Milliman. He currently sits on the Demography Committee and the PRIIPs Working Group of the Society.
Eamon Comerford
Eamon is a Consulting Actuary also with Milliman having joined the firm in 2010. Eamon’s experience is primarily in the life insurance field in both the domestic and cross-border markets. His expertise includes valuation and financial reporting, Solvency II, IFRS 17 and M&A. He is an active member of the Society and currently sits on the Wider Fields Committee. Eamon has been heavily involved in Milliman’s data science work in the last few years and has also co-authored a number of briefing notes on this subject.
John Nolan
John Nolan is Analytics & Modelling Actuary with Hannover Re, having joined the firm in 2014. He has worked on a number of valuations, modelling and analytics related projects and is currently leading an R&D project in Ireland. John is on Insurance Ireland’s Blockchain Working Group and is a member of the Analytics Institute. He is also very active in the Datascience and Insurtech community in Dublin
Aisling Bradfield
Aisling has been working with SCOR since 2010.She began her career working in business development across a range of markets and products. Since 2017, she has been Head of Policyholder Behaviour Research & Development for SCOR Global Life. In this role, Aisling has led projects where the use of statistical modelling has been central to developments to advance understanding of lapse risk.