Artificial intelligence,
machine learning,
modern data processing technologies,
cloud computing,
data mining ...

These are buzzwords that are on everyone's lips and are also the topic of our web session "Actuarial Data Science Introplication".

Introplication precisely defines the online program. We intend to give a basic and somewhat deeper introduction, showing the most important highlights from Actuarial Data Science and its applications. We start at the very beginning, so no prior knowledge is required.

On our way, we will touch on important use cases in the actuarial environment and deepen one or the other business case. To this end, we provide a brief insight into the widely used languages (R, Python) and development environments in the data science context (RStudio, Anaconda) and take a look at innovative insurance products based on individualized risk assessments (e.g. pay how you drive). The online training will be rounded off with short and concise reflections on data protection issues and principles for the ethical handling of artificial intelligence in the insurance environment.