Data Science

Karol Gawlowksi, Christian Richard and Dylan Liew show how Shapley values can be used to make opaque models more transparent

Evan Tanotogono discusses how a digital approach to product development could help drive up penetration in low-coverage markets such as Indonesia

Stephen Carlin explains the concept of decision science, and how its use can benefit actuaries

Kit Yates tells Ruolin Wang why making mathematics more accessible to the public is so important – especially in light of COVID-19 and the climate challenge

By embracing modern data science tools and techniques, actuaries can operate more efficiently, increase value and better manage risk, say Valerie du Preez, Xavier Maréchal and Anja Friedrich

Laurent Dupont shares the lessons of a recent TechSprint concerning the explainability of ‘black box’ models

Artificial intelligence-related risk differs from traditional model risk, explain Andrew Morgan, Valerie du Preez and Natasha Naidoo –how can we get to grips with it?

Olga Mierzwa-Sulima, Robin Whytock and Jdrzej wieewski share their experience of building a machine learning algorithm that helps track biodiversity in Gabon’s tropical forests

Alin Radu, Laurent Sabatié and Davide De Santis discuss insurers’ use of novel data sources and structures to create innovative parametric products

Niall Fennelly sets out key lessons around electronic health records for insurance, and explores what the future could hold