|
|
This seminar is part one of four courses (seminar and exam) to
obtain the additional title Certified Actuarial Data Scientist by
the AVÖ.
Participants who do not hold an AVÖ membership have also the
opportunity to obtain a newly established EAA Certificate in
Actuarial Data Science by taking part in all four modules and
the corresponding exams. It is planned to offer all four modules in
2024 and 2025.
All courses are open to interested actuaries to deepen their
knowledge and skills in the field of Actuarial Data Science
(without exams).
The four-part series had been very successfully established at the
German Actuarial Association (DAV) and is based on the learning
objectives of the DAV for Actuarial Data Science Basic, which is
part of the actuarial training in Germany.
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 mathematics-driven statistical methods for derivation of
insights from data to computation-driven methods sometimes
summarized as machine learning. As a result of almost unlimited
computing capacity through cloud computing and wide availability of
training data, tried and tested methods of machine learning, such
as artificial neural networks, are experiencing a renaissance in
theory and practice.
In this three-day seminar, we cover a wide range of topics. This
includes a basic introduction to the concepts and terms of
artificial intelligence, modern data management concepts (with a
special look at insurance companies), aspects of data protection
and the mathematical and statistical concepts of data mining. On
our way, we touch different use cases in the actuarial environment.
To this end, we provide a brief insight into the widely used
language R and development tools in the data science context
(RStudio, Anaconda). The seminar rounds off with principles for the
ethical handling of artificial intelligence in the insurance
environment.
Your early-bird registration fee is € 1,440.00 plus 20% VAT (if
applicable) for bookings by 18 February 2024. After this date, the
fee will be € 1,670.00 plus 20% VAT (if applicable).
Join us in this exciting phase of educational advancement and
professional growth!
|
|
