The rapidly progressing digitalisation leads to enormous amounts of data, which can be used to enhance the core processes of the insurance industry. An important precondition to derive the right decisions from the data is to increase the knowledge on statistical methods in general and artificial intelligence in special.

Organised by the EAA - European Actuarial Academy GmbH.

Participants should have basic previous knowledge in stochastics and probability theory. No specific statistical knowledge is required.

During this seminar, you will need a laptop where R and RStudio are already installed.

Levent Alkaya
Levent Alkaya joined Munich Re in March 2015 and is working as a data scientist in the reinsurance development department which consults Munich Re’s business units by developing analytical solutions across the whole Reinsurance Group. Since then he has participated in a significant number of data analytics projects. He holds a Master of Science in Statistics from the Ludwig Maximilian University of Munich, Germany.

Professor Jan Gertheiss
Dr Gertheiss is Professor of Applied Statistics at the Institute of Applied Stochastics and Operations Research, Clausthal University of Technology (TU Clausthal), Clausthal-Zellerfeld, Germany. Dr. Gertheiss obtained his PhD in Statistics from Ludwig Maximilians University, Munich, Germany. After receiving his PhD in 2011 and before joining TU Clausthal in 2016, he also worked as a visiting, postdoctoral fellow at the Department of Statistics, North Carolina State University, USA, and as a Professor of Biostatistics at the Department of Animal Sciences, Georg August University, Göttingen, Germany.