The two-day programme combines keynote speeches from well-known experts with food for thought and selected talks from professionals through a call for papers.
As a registered user of actuview, the EAA e-Conference can be joined free of charge. If you signed up to the event with the EAA in advance, you also got access to the four exclusive live web sessions of the keynote speakers. These keynote sessions will take place as scheduled in the conference programme and are marked accordingly.
All other recordings are published on this page below the program at the scheduled time. The recordings of the four live sessions will be uploaded later in the day of the session.
Monday, 29 June 2020
09:30 – 09:45
WELCOME & OPENING
09:45 – 10:45
LIVE KEYNOTE: Ethics in der Age of AI
Lokke Moerel, Morrison & Foerster / Tilburg University
Abstract
10:45 – 11:15
BREAK
11:15
Ethics as a Value Adding Component in Data Science
Colm Fitzgerald, University College Dublin
Abstract
11:50
AI and Automation Techniques to Life and Healthcare Practice
Atreyee Bhattacharyya, IFoA AI and Automation working party
Abstract
12:25
Data Risk Governance – Addressing Ethics in Insurance
Mirko Kraft, Coburg University / Forum V
Abstract
13:00 – 14:00 BREAK
14:00
The Changing Roles and Responsibilities of Analytics Leaders
Isin Ozaksoy, RGA
Abstract
14:35
How to make use of Unstructured Data – Critical Illness Claims Classification via Natural Language Processing
Antoine Ly, SCOR
Abstract
15:10
Deep Learning Insights to handle NLP (Re)insurance Domain Issues: A Claims Analysis Perspective
Aurélien Couloumy, CCR
Abstract
15:45 – 16:15
BREAK
16:15 – 17:15
LIVE KEYNOTE: Big Data Analytics in Motor and Health Insurance
Julian Arevalo, EIOPA
Abstract
Download the full schedule here (PDF).
-> Check out Day 2: Tuesday, 30 June 2020
AbstractThe presentation will cover the key findings of EIOPA’s recent thematic review on the use of Big Data Analytics in motor and health insurance. It will explain how traditional types of data are increasingly combined with new data sources and
AbstractThe new digital technologies (and in particular artificial intelligence, AI) enable many new services that disrupt existing business models. The new business models in turn present new privacy issues and ethical dilemmas, and societal resistance t
Abstract Unstructured data such as text remain quite untapped nowadays in the (re)insurance industry. The first basic reason of this probably comes from the unawareness of the way to handle well these texts. Natural language processing (NLP) held propose
Abstract(Re)insurers have a wealth of data at their disposal. Until recently, actuaries concentrated on exploiting structured data, leaving text data largely ignored even though it is collected and stored.With the digital transformation of the insurance i
Abstract While the value and benefits of incorporating new big datasets across the insurance business process lifecycle are seemingly limitless, the need to ensure compliance is paramount. Across the globe, the legislative and regulatory environments are
AbstractThe presentation will address key principles of a data risk governance in insurance companies. They nowadays use much more data‐driven business models (Eling/Lehmann, 2018; Janssen/Corlosquet‐Habart, 2018), e. g. telematics data in motor insurance
AbstractArtificial Intelligence and Automation are buzzwords that are often mentioned in the context of financial services. The Institute and Faculty of Actuaries’ AI and Automation working party has examined been focussing on these topics in the co
AbstractThis presentation will look at how actuaries can play a key role in data ethics. It will discuss different philosophical ethics regimes in a modern context to differentiate between regimes that become tick-box exercises and those that are more val