Fit4AI Compact
Introduction & Programme
Organised by the EAA - European Actuarial Academy GmbH in cooperation with the Aktuarvereinigung Österreichs (AVÖ).
Introduction
The two-day in-person seminar offers actuaries a structured entry into the broad field of artificial intelligence. It teaches the key terms of data science and AI, the essential concepts of machine learning, and current developments in generative AI, along with the principles of trustworthy AI and the requirements of the EU AI Act. The techniques are built up step by step, from decision trees, random forests, and neural networks, through clustering and dimension reduction, to the tokenisation, embeddings, and transformer architectures behind today's large language models. Beyond the methodological and mathematical background, the seminar concentrates on practical knowledge, suggestions, and assistance for participants' own work: a hands-on block introduces the working environment of a data scientist and follows a complete analysis in Python, from preparing the data to training and evaluating a model. Actuarial use cases from various sectors of the insurance industry illustrate and motivate the procedures and concepts throughout. Equal attention goes to the limits of these methods, such as overfitting, bias, and the black-box problem, and to the judgement that their responsible use requires.
Developed by actuaries of the German Association of Actuaries (DAV), the seminar format has already been delivered very successfully in Germany, where it has attracted more than 350 participants to date. Its strong reception underlines both the relevance of the topic for actuarial practice and the practical value of the programme for actuaries seeking to build AI literacy and apply AI methods in their day-to-day work.
Preliminary Programme
Monday, 8 March 2027
08.45 – 09.00 Registration
09.00 – 09.15 Introduction & Welcome (EAA)
09.15 – 10.45 Artificial Intelligence – Terminology, Concepts, and Methods
10.45 – 11.00 Coffee Break
11.00 – 12.30 Data Science – Best Of
12.30 – 13.30 Lunch
13.30 – 15.00 Artificial Intelligence – Hands-On Experience and Practical Application
15.00 – 15.15 Coffee Break
15.15 – 17.00 Supervised and Unsupervised Learning I
approx. 18.30 Dinner
Tuesday, 9 March 2027
09.00 – 10.30 Supervised and Unsupervised Learning II
10.30 – 10.45 Coffee Break
10.45 – 12.30 Generative Artificial Intelligence I
12.30 – 13.30 Lunch
13.30 – 15.00 Generative Artificial Intelligence II
15.00 Concluding remarks, closing of seminar (EAA)
Learning Objectives & Approach
Participants will gain a practical introduction to key concepts and methods in artificial intelligence, data science, machine learning, and generative artificial intelligence, with a particular focus on actuarial use cases in insurance.
The practical parts of the seminar are demonstrated live in Jupyter notebooks (Python), covering the basic data science workflow as well as selected machine learning and generative artificial intelligence case studies. Participants receive these notebooks afterwards as supplementary material and can explore and adapt them at their own pace.
Note: According to Article 4 of the European Union's AI Regulation (AI Act), all persons working with AI must have the necessary level of AI literacy. Participants in the seminar will receive confirmation of their AI literacy for actuarial use cases in insurance.
Participants
The two-day in-person seminar is aimed at (almost) all (!) actuaries – apart from those who already work intensively with data science, machine learning and artificial intelligence on a daily basis. No prior knowledge is required to participate in the seminar – participants should have an actuarial background.
Lecturers
Dr Simon Hatzesberger
is a qualified actuary and Senior Manager in Actuarial & Insurance Services at Deloitte, focusing on data science and artificial intelligence applications in insurance. He holds an MSc in Financial Mathematics and Actuarial Sciences from the Technical University of Munich, as well as an MSc in Computer Science and a PhD in Mathematical Stochastics from the University of Passau. Simon is a member of the German Association of Actuaries, a Certified Actuarial Data Scientist, and a Certified Enterprise Risk Actuary. He is actively involved in the Actuarial Data Science / AI committee of the German Association of Actuaries, is a member of the AI & Data Science Working Group of the Actuarial Association of Europe, and serves as Co-Chair of the AI, Data & Emerging Technologies Committee of the International Actuarial Association.
Dr Johannes Schupp
works as an actuarial consultant at ifa. In Life, Health and Non-Life insurance projects, he combines the traditional tasks of an actuary with modern data science and AI methods. Tailored integration into areas like pricing, risk management, testing systems and claims settlement ensures that actuarial workstreams are fit for the future. He holds a PhD in Actuarial Science and is actively involved in actuarial research and teaching projects at the University of Ulm, focusing on the interaction between Actuarial Science and AI. For several years, he has been involved in working groups of the DAV and CADS.
Language & CPD Credits
The language of the seminar will be English.
CPD Credits
For this seminar, the following CPD credits are available under the CPD scheme of the relevant national actuarial association:
- Austria: 11 points
- Belgium: 11 points
- Bulgaria: 15 points
- Croatia: individual accreditation
- Czechia: 11 hours
- Denmark: 11 credits
- Estonia: 11 hours
- Finland: 7.5 points
- France: 63 points
- Germany: 11 hours
- Greece: 15 points
- Hungary: 11 hours
- Iceland: 11 credits
- Ireland: 11 hours
- Italy: approx. 4 credits (individual accreditation)
- Latvia: 11 hours
- Lithuania: 11 hours
- Netherlands: approx. 11 points (individual accreditation)
- Norway: 11 points
- Poland: 11 hours
- Portugal: 11 hours
- Serbia: 5 hours
- Slovakia: 8 points
- Slovenia: 50 points
- Spain: CAC: 11 hours, IAE: 11 hours
- Switzerland: 15 points
- USA: SOA (Section B): up to 12.90 hours
No responsibility is taken for the accuracy of this information.
Fees & Registration Details
The coffee-breaks and lunches as well as the seminar dinner are included in the seminar fee. The accommodation is not included in the seminar fee and must be booked directly with the hotel.
Early Bird Registration Fee (until 8 January 2027):
- For private customers only: €1,164.00 (€970.00 + 20% VAT)
Regular Registration Fee (from 9 January 2027):
- For private customers only: €1,536.00 (€1,280.00 + 20% VAT)
Important VAT Information:
Due to tax regulations, we are unfortunately unable to issue invoices to businesses. We can only accept private billing addresses. Please enter your private billing address when completing the registration form.
Please submit your registration using our online form below. We recommend registering for the seminar as soon as possible because of the expected demand. If there are more persons interested in this seminar than places available, we will give priority to the registrations received first.
Your registration is binding. Cancellation is only possible up to 6 weeks before the first day of the event. If you cancel later, the full participation fee is due. You may appoint someone to take your place but must notify us in advance. EAA has the right to cancel the event if the minimum number of participants is not reached.
Prepayment is mandatory. Please make sure you enter the correct and final billing details when registering below. We will send you an invoice via email. Please allow a few days for handling and always give your invoice number when you effect payment. All bank charges are to be borne by the participant.
Registration is open until 2 March 2027. If registration has already been closed for this event, please call us or send an e-mail to contact@actuarial-academy.com in order to find out whether a late registration is still possible.
Venue & Accommodation
Mercure Grand Hotel Biedermeier Wien
Landstrasser Hauptstrasse 28, 1030 Vienna, Austria
Phone: +43 1716 710
Hotel website
The seminar will take place at the 4-star Mercure Grand Hotel Biedermeier. The hotel is centrally located in Vienna, in a quiet historic Biedermeier-style passage, and offers a comfortable and professional setting for training events. On site, participants also have access to two restaurants, a café, and a garden area for breaks. The hotel provides a fitness and sauna area for guests staying overnight.
We have secured a special accommodation rate of €135.00 per night, including breakfast and VAT, available for bookings made by 15 March 2027. This exclusive rate applies to a limited number of rooms reserved for our event. To book, please fill out this booking form and send it to h5357-sb@accor.com. In your message, please mention your participation in the EAA Seminar and include the booking code EAA – European Actuarial Academy GmbH. Please also note the hotel’s cancellation policy and payment conditions.
Event details
Lecturers: Johannes Schupp, Simon Hatzesberger
Early Bird Deadline: 8 Jan 2027
Participant cancellation deadline: 25 Jan 2027
Event dates
Monday, 8 – Tuesday, 9 Mar 2027
