EAA Web Session: Actuarial Data Science Introplication

Due to technological progress in connection with Data Science and Digitalization, summarized under the buzzword Big Data, a plethora of opportunities and challenges for the industry is arising.

Technological developments have now also reached the insurance industry and thus have a direct impact on the working world of actuaries.

Under the heading Actuarial Data Science, the procedures and methods of data mining are embedded in the actuarial context. These range from classical statistical methods of data analysis as well as regression and cluster methods to machine learning. As a result of almost unlimited computing capacity through cloud computing and extensive available training data, tried and tested methods of artificial intelligence, such as artificial neural networks, are experiencing a renaissance in theory and practice.

We have not yet fully understood the breadth and depth of the resulting future opportunities for the insurance industry. However, there are already numerous applications in the actuarial environment. We have been doing some of them for a long time (and now see them in the context of AI), we are trying out some of them.

Introplication is a compound artificial word consisting of Introduction and Application. And in the web session, we would like to combine both: a basic introduction to the subject area with applications in the actuarial environment.

Registration deadline: 10 September 2021

Due to technological progress in connection with Data Science and Digitalization, summarized under the buzzword Big Data, a plethora of opportunities and challenges for the industry is arising.

Technological developments have now also reached the insurance industry and thus have a direct impact on the working world of actuaries.

Under the heading Actuarial Data Science, the procedures and methods of data mining are embedded in the actuarial context. These range from classical statistical methods of data analysis as well as regression and cluster methods to machine learning. As a result of almost unlimited computing capacity through cloud computing and extensive available training data, tried and tested methods of artificial intelligence, such as artificial neural networks, are experiencing a renaissance in theory and practice.

We have not yet fully understood the breadth and depth of the resulting future opportunities for the insurance industry. However, there are already numerous applications in the actuarial environment. We have been doing some of them for a long time (and now see them in the context of AI), we are trying out some of them.

Introplication is a compound artificial word consisting of Introduction and Application. And in the web session, we would like to combine both: a basic introduction to the subject area with applications in the actuarial environment.

Registration deadline: 10 September 2021