Fit4AI Compact

Einleitung/Dauer

This two-day web session 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), this 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
Tuesday, 6 October 2026
09:00 – 10:30 Artificial intelligence – terms, concepts, methods
10:30 – 11:00 Break
11:00 – 12:30 Trustworthy AI / Regulation in the AI environment
12:30 – 13:30 Break
13:30 – 15:00 Data Science – Best of
15:00 – 15:30 Break
15:30 – 17:00 Hands-on: Experience and apply AI

Wednesday, 7 October 2026
09:00 – 10:30 Supervised and Unsupervised Learning I
10:30 – 11:00 Break
11:00 – 12:30 Supervised and Unsupervised Learning II
12:30 – 13:30 Break
13:30 – 15:00 Generative Artificial Intelligence I
15:00 – 15:30 Break
15:30 – 17:00 Generative Artificial Intelligence II

All the above times are given in CEST (Central European Summer Time).

Vorgehensweise und Ziele

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 web session 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 AI competence. Participants in the seminar will receive confirmation of their AI competence for actuarial use cases in insurance.

Teilnehmer

The two-day online web session 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.

Technical Requirements
Please check with your IT department if your firewall and computer settings support web session participation (the programme Zoom will be used for this online training). Please also make sure to join the web session with a stable internet connection.

Dozierende

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 Zoran Nikolic
Zoran Nikolic is a certified actuarial data scientist (DAV) working at B&W Deloitte in Cologne. For years he has lectured on actuarial, risk management and machine learning topics for DAV and the University of Cologne. In addition, he is a lecturer with the German Actuarial Academy (DAA) for Actuarial Data Science and member of the Committee Actuarial Data Science of DAV.

Dr Johannes Schupp
Johannes 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.

Prof Dr Fabian Transchel
Fabian Transchel holds the endowed chair of e+s Rück for Data Science at Harz University of Applied Sciences, Wernigerode, Germany. He's an avid proponent of Machine Learning and Artificial Intelligence in the insurance sector and has been instrumental in innovating motor insurance through telematics technologies, these days also teaching Actuarial Data Science for DAA and EAA.

Sprache/Kurztitel

The language of the web session will be English.

CPD Credits
For this web session, the following CPD credits are available under the CPD scheme of the relevant national actuarial association:

• Austria: 12 points
• Belgium: 12 points
• Bulgaria: 15 points
• Croatia: individual accreditation
• Czechia: 12 hours
• Denmark: 12 credits
• Estonia: 12 hours
• Finland: 8 points
• France: 72 points
• Germany: 12 hours
• Greece: 16 points
• Hungary: 12 hours
• Iceland: 12 credits
• Ireland: 12 hours
• Italy: approx. 4 credits (individual accreditation)
• Latvia: 12 hours
• Lithuania: 12 hours
• Netherlands:  approx. 12 points (individual accreditation)
• Norway: 12 points
• Poland: 12 hours
• Portugal: 12 hours
• Serbia: 5 hours
• Slovakia: 8 points
• Slovenia: 50 points
• Spain: CAC: 12 hours, IAE: 12 hours
• Switzerland: 15 points
• USA: SOA (Section B): up to 14.4 hours

No responsibility is taken for the accuracy of this information.