About the Meeting
This meeting has now taken place - the audio and slides are below:
Most insurers and reinsurers – across all lines of business – are increasingly active in the area of Big Data. Much of what has been written on this topic thus far has focused on the analytic techniques or on the varieties of data – from facial imaging to fitbits. But little has been published on the fundamentals of how we go about the analytics, and how we extract value and interpret results effectively. Our presentation will look at the generally hidden fundamentals – for instance, the nature of patterns and information, the validity of significance testing, the limitations of analytic and Artificial Intelligence (AI) techniques, and the implications of big data and AI on data privacy. The session is aimed at all actuaries with an interest in data analytics.
Speakers:
- Matthew Edwards leads the life underwriting risk / analytics team in the life insurance practice at Willis Towers Watson, and was lead author of the 2012 SIAS paper ‘The Philosophy of Modelling’
- Rachael McNaughton is a data scientist in the advanced analytics team at Willis Towers Watson, and has spoken at a number of actuarial conferences in Australia, Europe and the US on machine learning and big data in an insurance context.
Please register only through the Metooo site via the link below
Related Events
(VIRTUAL) IFRS 17 for Reinsurance: How to measure and explain performance
This presentation aims to explain how the reinsurance contracts are treated under IFRS 17.
Zoom (Virtual event)
(VIRTUAL) CMI Update - Mortality improvements in light of the pandemic
A CMI update on mortality in light of the pandemic.
Zoom (Virtual event)
(VIRTUAL) Data Science - optimising the actuarial toolkit
A data science talk focused on the toolkit used in the actuarial departments.