Fit4AI compact

Einleitung/Dauer

The two-day online web session is aimed at actuaries interested in getting started in the broad field of artificial intelligence. The aim is to teach key terms in the field of data science and artificial intelligence, essential concepts of machine learning, and social and regulatory frameworks. Developments in generative artificial intelligence will also be discussed. In addition to methodological and mathematical background information, the seminar focuses on practical knowledge, suggestions, and assistance for participants' own work. The procedures and concepts taught are clearly illustrated and motivated using actuarial use cases from various sectors of the insurance industry. 

Preliminary Programme
Tuesday, 2 June 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, 3 June 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

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 Manager in Actuarial & Insurance Services at Deloitte with several years of experience in data- and AI-related actuarial topics, including previous work at Allianz Private Health. He holds degrees in Financial Mathematics and Actuarial Sciences, Computer Science, and a PhD in Mathematical Stochastics. He is a member of the German Association of Actuaries, a Certified Actuarial Data Scientist, a Certified Enterprise Risk Actuary, a lecturer for Actuarial Data Science with DAA and EAA, and a member of the DAV Committee Actuarial Data Science / AI. In addition, he is a member of the AAE working group on AI and Data Science, a workstream lead of the IAA AI Task Force, and a member of EIOPA’s Consultative Expert Group on Data Use in Insurance.

Dr 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 Scienceof 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.