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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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