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.
- 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
SIAS Pub Quiz 2020
It's that time of year again and what better way to start the New Year than with the SIAS pub quiz!
The quiz will start at 6.20pm, so get there by 6pm in order to secure a good table (and get a...
Steam Wine Bar, 1 St George's Ln, London, EC3R 8DJ
Practical challenges of implementing the IFRS 17 Risk Adjustment
Jignesh Mistry and Rob Walton from PwC will be presenting their talk on the IFRS17 Risk Adjustment. Please note this talk was also held at the 2019 Life Conference.
The presentation focuses on ben...
Staple Inn, London, WC1V 7QJ
SIAS Plays Pool
This year’s pool tournament will be taking place on 20th February 2020 at Riley’s Victoria, London, SW1W 9QJ.
You will need to be in a team of two and Tickets are £15 for a SIAS Member and £20 f...