The aim of the General Insurance Machine Learning in Reserving Working Party (MLR WP) is to help develop the use of machine learning (ML) techniques in reserving. The session will include: Sarah MacDonnell and Jacque Friedland presenting survey findings showing how ML is currently being used in reserving in the UK and Canada, Grainne McGuire from Taylor Fry introducing the materials the working party is publishing to help actuaries learn how to apply ML in reserving, Nigel Carpenter from RSA walking us through the Baudry model on individual claims, and Kevin Kuo from R Studio discussing papers that have applied Neural Networks to reserving. 

GIRO 2020