Article
04 February 2026 - by Karol Maciejewski, Chad Schuster, Jim Brackett, Corey Grigg
Can GPUs be effectively used for actuarial modeling and, if so, for which use cases and how?
Article
29 October 2025 - by Aatman Dattani, Avi Freedman, Corey Grigg, Jan Thiemen Postema, Karol Maciejewski, Sijbo Holtman
We explore evolving model compression techniques that can help insurers achieve significant computational efficiency gains.
Article
05 June 2025 - by Ruben Escobar, Javier Munoz, Karol Maciejewski
We surveyed leading insurance industry professionals on valuation methods, familiarity with the standard, and implementation hurdles.
Article
03 April 2025 - by Karol Maciejewski, Mehdi Echchelh
The use of Python is on the rise, but is it a good choice for an actuarial modelling platform?
Article
14 March 2023 - by Karol Maciejewski, Mehdi Echchelh, Dominik Sznajder
With the right expertise, designing and implementing an in-house life projection and ALM model using Python can yield significant model performance improvements.
Article
14 February 2023 - by Karol Maciejewski, Pierre Miehé, Thomas Peplow
As insurance companies use IT to advance modeling platforms, the change process is complex, and not without risks.
Article
27 January 2023 - by Michail Athanasiadis, Dominik Sznajder, Karol Maciejewski, Peter Boekel
Research results from accelerating projections of portfolios by compressing data of underlying policies.
Article
29 November 2021 - by Fanny Pouget, Rémi Bellina, Mehdi Echchelh, Karol Maciejewski, Christoph Krischanitz, Bartosz Gaweda, Dominik Sznajder, Raymond van Es, Talex Diede, Kshitij Srivastava, Nathan Wilbanks, Mike Hoyer, Clement Bonnet
The emergence of data analytics and machine learning is providing insurers and reinsurers with new insights into how they drive and monitor their business.