Early Bird Alert: Save on Upcoming EAA Trainings!

Stay ahead and secure your spot at a reduced rate! Every four weeks, we provide an overview of upcoming early-bird deadlines, helping you plan your professional development in advance.

Make sure to check the deadlines below – these special rates are only available for a limited time!

Open insurance is once again the talk of the town: Despite a lot of resistance from the industry, its relevance will certainly increase over time. Driven by the market – but also driven by regulation. This web session will provide insights into the new Financial Data Access regulation (FIDA) that is currently one of the hot topics discussed between the political trilogue parties at EU level.

During this web session we will discuss, based on the current status of the regulatory developments:

• What is FIDA? How does it fit into the overall European economic strategy?
• What is the timeline for introduction of FIDA?
• Which types of insurance, products and data are affected by FIDA?
• How does the data exchange process work in practice?
• What are technical and data requirements to be implemented when preparing for FIDA implementation?
• Explore session: Focus on product development, pricing, underwriting and other areas of potential FIDA use cases. How can insurers – and in particular, actuaries – make use of new data availabilities made possible by FIDA?

Early-bird discount is available for bookings made by 6 April 2026.

Non-Life insurance is facing many challenges ranging from fierce competition on the market or evolution in the distribution channel used by the consumers to evolution of the regulatory environment. Pricing is the central link between solvency, profitability and market shares (volume). Improving pricing practice encompasses several dimensions:

• Technical: Is our pricing adequate to cover the underlying cost of risk of my policyholders and the other costs we are facing? Which are the key variables driving the risk? Are they adequately taken into account in our pricing? What’s the impact of the claims history of my policyholder on its expected risk? In which segment are we profitable and in which are we not profitable?
• Competition: At what price will we attract the segments that we target and price out those that we do not want? Is the positioning of our competitors influencing our pricing practice and our profitability? What’s my position with respect to my competitors in term of pricing? What are the segments in which I am well positioned and the segments where I am not well positioned?
• Elasticity: What price (evolution) are our existing customers prepared to accept? Does the sensitivity to price evolution depend on the profile of my customer?
• Segmentation: Is our segmentation granular enough for our purposes?

The aim of this web session is to present some advanced actuarial/statistical techniques used in non-life pricing or underwriting. The web session focuses on selected practical problems faced by pricing actuaries and product managers.

Early-bird discount is available for bookings made by 14 April 2026.

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The two-day online web session is aimed at actuaries interested in getting started in the broad field of artificial intelligence and has already been successfully delivered for the German Actuarial Academy DAA - Deutsche Aktuar-Akademie GmbH. 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.

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.

Early-bird discount is available for bookings made by 21 April 2026.

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Organised by the EAA – European Actuarial Academy GmbH in cooperation with Deutsche Aktuarvereinigung e. V. (DAV).

Machine learning (ML) and generative artificial intelligence (GenAI) are among the most transformative technologies shaping the future of the insurance and financial industries. Actuaries and data scientists are increasingly expected not only to understand these technologies but also to apply them responsibly and effectively in their professional practice.

This two-day seminar offers a comprehensive journey through machine learning on the first day and generative AI on the second. Hands-on coding exercises are included throughout, primarily using provided code snippets for experimentation and modification.

The first day covers traditional and modern machine learning, beginning with the foundations of supervised learning. Participants will explore both well-established methods, such as generalized linear models (including standard linear regression), and modern machine learning models like CatBoost, artificial neural networks, and ensemble methods. Strengths and weaknesses of these models will be discussed, along with the crucial topic of interpretability and explainable AI. The programme also includes special machine learning topics – such as unsupervised learning, time series forecasting, synthetic data generation, and recent innovations – which may be selected and emphasized according to the interests and preferences of the participants, ensuring that the content is tailored to their needs and provides a broad, up-to-date view of the field.

The second day focuses on generative AI, beginning with the basics of working with large language models (LLMs), including prompting techniques, pitfalls to avoid, and practical exercises using APIs or local setups. Building on this foundation, we will explore advanced concepts such as function calling, fine-tuning, structured outputs, and retrieval-augmented generation. The seminar concludes with an introduction to the emerging paradigm of agentic AI, where participants will see how LLMs can act as autonomous agents in applications like automated reporting or legacy system migration.

By combining conceptual insights with guided, hands-on coding exercises, the seminar equips participants to responsibly, creatively, and effectively apply machine learning and generative AI in real-world actuarial practice.

The seminar will be held in person, giving participants the opportunity to learn on site alongside other actuarial professionals, exchange ideas directly, and receive immediate support from the lecturers. The venue is the 4-star Novotel Munich City in Munich (details below). The evening event on the first day is giving participants the opportunity to connect, discuss practical questions, and build their professional network in an informal setting.

Early-bird discount is available for bookings made by 8 April 2026.

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