AI is everywhere. The family of 'AI'-driven techniques are changing the scope, scale and efficiency of actuarial roles. A few years ago, the questions around advanced data-science techniques were around 'why use them?' and persuading your organisation to try them. Now stakeholders are demanding to know 'why aren't you using them' and throwing AI at everything hoping it sticks.
These are challenging, dynamic environments. Join us as we ask actuaries across different experience levels and areas of expertise how they have navigated this environment and get inspiration for your own actuarial journey.
Speakers
Dr Alexey Mashechkin (chair): Member of the AI and Emerging Technologies Practice Board
Alexis Iglauer: Alexis is the Global Chief Pricing Actuary for PartnerRe Life & Health, where he is responsible for pricing methodology, process, and governance across all regions and products. Prior to that he led the L&H Data Science Team at PartnerRe, and was responsible for deploying advanced data science techniques internally and externally to clients. Born and raised in South Africa, Alexis studied in Pretoria and moved first to London, then Hamburg and Cologne before joining PartnerRe in Zurich in 2005. He is a UK-qualified actuary, and leads the research pillar of the IFoA's AI and Emerging Technologies Practice Board.
Jennifer Loftus: Jennifer is a member of the IFoA's AI and Emerging Technologies Practice Board. She is a council member of the Society of Actuaries in Ireland, where she chairs the AI and Data Science Committee and Gender Pipeline Working Group. Jennifer is Executive Director, Group CFO and Chief Actuary at Acorn Life in Ireland. She is a board member of Vhi, Ireland's state-owned health insurer. Jennifer is a graduate of University College Dublin in Actuarial and Financial Studies. She holds an MSc in Data Analytics and an MSc in Sustainability Leadership.
Karol Gawlowski: Karol is Senior Manager of Pricing Data Science at QBE and Deputy Chair of Research at the IFoA's AI and Emerging Technologies Practice Board. He specialises in applying machine learning, AI and advanced analytics to general insurance, having previously led R&D in reserving automation at EY and held actuarial analytics roles at Allianz Commercial and AXA XL. He developed the 'interpretable boosted GLM' approach and has published research on interpretable machine learning for insurance applications. He also serves as Deputy Chair of the organising committee for the IFoA’s AI and emerging technologies conference and chairs the IFoA's Actuarial Data Science Working Party, supporting the development and wider adoption of data science across the actuarial profession.
Pricing and booking information
| Members | Book for free |
| Non-members | Book for £45 |