The General Insurance Lifelong Learning Committee has opened the call for speakers for its 2025 General Insurance Spring Webinar Series.
This series of webinars will be held online between 22 April and 2 May 2025. It will be available to watch globally, covering a wide range of current issues across the insurance industry.
If you are keen to share your research, knowledge or thought leadership with the general insurance actuarial community, we’d be delighted to hear from you.
Please submit your proposal by 31 January.
On this page:
We’d love to have content across all key general insurance areas. If you're keen to talk and looking for some topic inspiration, here are a few ideas to get you started:
If you are interested in submitting a proposal, we recommend an approximately 200-word summary of your chosen subject including:
An example of a good submission is shown below.
We encourage submissions to clearly demonstrate how they will engage with their online audience, to make their sessions as interactive as possible. Please note that all webinars will be recorded and made available on demand on the IFoA video archive and e-shop.
Deadline: Friday 31 January at 17.00 GMT
An example of a good submission:
Why isn’t machine learning (ML) used routinely in reserving as it is in personal lines pricing?
Although there is widespread interest in ML, we see the same questions come up time and time again on difficulties and obstacles to incorporating ML into reserving. These are topics of substance with no single, easy answer and include questions such as:
In this session we will have a panel discussion featuring various members of the Machine Learning in Reserving Working Party (MLRWP) and we will discuss these points and others. The MLRWP has shared many of our findings and material in talks and on our blog.
This will be delivered virtually and will be a high-level session rather than a technical one. It should be of interest to actuaries at all levels with an interest in ML including senior actuaries and team leaders who are interested in using ML in the reserving process and may be asking many of these same questions.
If you have queries, please contact eventmanagement@actuaries.org.uk.