Articles tagged "data"
Jacky Poon shows you how to build a risk premium pricing model using deep learning, in this example for a motor portfolio - a classic general insurance problem.
Posted on: August 23, 2018
Two Fellows of the Actuaries Institute and a Chief Data Scientist trained in actuarial science have featured in the Institute of Analytics Professionals of Australia's (IAPA) inaugural Top 25 Analytics Leaders program.
Posted on: July 4, 2018
Welcome to the Analytics Snippet column, where we showcase short code snippets in R, Python, or other programming languages, to demo the power of data analytics. In this first instalment, Jacky Poon dives into checkouts of book titles from a Brisbane Library.
Posted on: June 14, 2018
The 2018 Actuarial Hackathon saw 18 teams of actuaries solve practical challenges posed by not-for-profit organisations. From rap skills to wigs, it was an insightful, rewarding and entertaining showcase night! Angela Poon reports.
Posted on: June 8, 2018
The Facebook - Cambridge Analytica saga has dominated headlines. It has been a useful case study for companies thinking about their data and partnerships arrangements.
Posted on: May 4, 2018
In late 2016, the Society of Actuaries (SOA) commissioned a paper on asset allocation trends of Asian life companies. Two FIAA’s who co-wrote the paper “Letting Insurance Asset Data Speak for Itself” highlight its key findings here.
Posted on: April 11, 2018
Amongst much talk about data science and new analytics techniques, Ashish Ahluwalia challenges the profession to be bold in sticking to their roots and take their toolkit of ‘traditional’ actuarial methods into a broader industries outside of insurance.
Posted on: March 12, 2018
Jennifer Lang, author of the blog Actuarial Eye, writes about her recent experiments with the 'Census table builder' - a data tool that includes a map visualisation function.
Posted on: September 7, 2017
Oliver Chambers and Andrew Bird made the winning submission for the Actuaries Institute's inaugural Kaggle competition in 2015. Here, they explain how they explored different features in the data to predict mortality at locations around Australia.
Posted on: March 7, 2016