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X-WR-CALDESC:Veranstaltungen für AKTUARVEREINIGUNG ÖSTERREICHS (AVÖ)
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DTSTART;TZID=Europe/Vienna:20261001T084500
DTEND;TZID=Europe/Vienna:20261002T170000
DTSTAMP:20260424T203557
CREATED:20260422T090509Z
LAST-MODIFIED:20260422T090509Z
UID:10000647-1790844300-1790960400@avoe.at
SUMMARY:EAA Seminar in Vilnius 'Advanced Applications of Generative AI in Actuarial Science'
DESCRIPTION:Organised by the EAA – European Actuarial Academy GmbH in cooperation with the Lietuvos Aktuarų Draugija. \nThe 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 hotel Courtyard Vilnius City Centre (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. \nBy the end of the seminar\, participants will be able to:\n– Understand the foundations of generative AI\, with a focus on how large language models work\, where they add value\, and what risks they introduce (e.g.\, hallucinations\, bias\, data leakage\, overreliance)\n– Decide when GenAI is appropriate and when classical approaches (statistics\, machine learning\, or traditional programming) remain the better choice – based on feasibility\, cost\, explainability\, and operational constraints.\n– Build robust LLM-powered workflows using APIs or local setups\, including function calling/tool use\, structured outputs\, retrieval-augmented generation\, and\, where suitable\, fine-tuning – with attention to traceability and reproducibility.\n– Understand and prototype agentic AI systems\, including key concepts (e.g.\, agents\, orchestration\, tool use)\, practical safeguards\, and realistic use cases in insurance and finance such as assisted analysis\, document workflows\, and reporting.\nAnmeldeschluss: 2026-09-24\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/advanced-applications-of-generative-ai-in-actuarial-science-e0572/
URL:https://avoe.at/event/eaa-seminar-in-vilnius-advanced-applications-of-generative-ai-in-actuarial-science/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261005T093000
DTEND;TZID=Europe/Vienna:20261005T130000
DTSTAMP:20260424T203557
CREATED:20260407T084320Z
LAST-MODIFIED:20260407T084320Z
UID:10000637-1791192600-1791205200@avoe.at
SUMMARY:EAA Web Session 'Climate Change Scenarios: Application\, Evolution\, and Reporting'
DESCRIPTION:Climate Risk scenarios are commonly used in the insurance industry for stress testing\, but interpreting and communicating results is often challenging\, given strong limitations and complex assumptions. This session will provide practical guidance on stress testing application in the ORSA context\, focusing on financial risks\, and provide context and foundations necessary in order to communicate and interpret the results. We will discuss key evolutions in recent years with a particular emphasis on NGFS scenarios and the modelling of physical risks. \nThe session will be based around a case study for a generic insurer\, where we calculate impacts on the insurer’s capital position under different climate change scenarios\, thereby illustrating the practical elements of stress testing. In this context\, we will specifically talk about: Key steps to practical implementation of stress tests\, models for key financial variables relevant for insurance stress testing (e.g. interest rates\, credit spreads)\, NGFS scenarios and their recent evolution\, impact of scenario updates\, modelling of physical risks\, as well as key limitations and considerations for reporting.\nAnmeldeschluss: 2026-10-01\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/climate-change-scenarios-application-evolution-and-reporting-e0573/
URL:https://avoe.at/event/eaa-web-session-climate-change-scenarios-application-evolution-and-reporting-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261008T100000
DTEND;TZID=Europe/Vienna:20261008T120000
DTSTAMP:20260424T203557
CREATED:20260407T082956Z
LAST-MODIFIED:20260407T082956Z
UID:10000635-1791453600-1791460800@avoe.at
SUMMARY:EAA Web Session 'Calculation of Life Insurance Products by Means of Markov Chains'
DESCRIPTION:The calculation of life insurance products is traditionally based on the approach of commutation values\, whose table properties enable extensive actuarial calculations even without large computer capacities. However\, especially for modern and more flexible life insurance tariffs\, the calculation by means of commutation values reaches its limits\, so that the calculation approach based on Markov chains is gaining in importance and has been used for some time in the mathematical cores of new portfolio administration systems. \nThis web session will provide an insight into the calculation of common life insurance products using the Markov approach. For this purpose\, first an overview of the best-selling life insurance products in some European countries and their classic calculation will be given. In the following\, the principle of Markov chains is explained and a model for calculating actuarial values is derived. \nFinally\, the online training also addresses problems that can arise when migrating from classically calculated portfolios to systems with the Markov approach.\nAnmeldeschluss: 2026-10-06\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/calculation-of-life-insurance-products-by-means-of-markov-chains-e0580/#c4838
URL:https://avoe.at/event/eaa-web-session-calculation-of-life-insurance-products-by-means-of-markov-chains-3/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261009T100000
DTEND;TZID=Europe/Vienna:20261009T120000
DTSTAMP:20260424T203557
CREATED:20260422T085059Z
LAST-MODIFIED:20260422T085059Z
UID:10000645-1791540000-1791547200@avoe.at
SUMMARY:EAA Web Session 'GenAI: Is it all about Attention or also about Predictability?'
DESCRIPTION:Artificial Intelligence is rapidly moving from experimentation to infrastructure in actuarial work. AI systems are beginning to influence decisions that were historically driven by statistical models\, expert judgment\, and regulatory constraints. This session focuses on understanding what is happening under the hood of modern Generative AI systems\, particularly large language models and AI agents. What does “attention” mean in technical terms\, and why is it foundational to how these systems process information? How do agentic systems differ from classical predictive models? And critically for actuarial practice: where does predictability break down? \nWe will examine both the capabilities and the limitations of AI. In domains characterized by uncertainty\, feedback loops\, and human behavior\, no system\, human or machine\, offers perfect foresight. Understanding these boundaries is essential for responsible adoption. The objective is not to replace actuarial judgment\, but to augment it\, while ensuring that humans remain accountable for decisions in high-stakes contexts.\nAnmeldeschluss: 2026-10-07\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/genai-is-it-all-about-attention-or-also-about-predictability-e0581/
URL:https://avoe.at/event/eaa-web-session-genai-is-it-all-about-attention-or-also-about-predictability/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20261012T090000
DTEND;TZID=Europe/Vienna:20261013T133000
DTSTAMP:20260424T203557
CREATED:20260407T085023Z
LAST-MODIFIED:20260407T085023Z
UID:10000641-1791795600-1791898200@avoe.at
SUMMARY:EAA Web Session 'From Deep Learning to Transformers: Foundations of Modern LLMs'
DESCRIPTION:Deep learning (DL) pertains to the field of artificial intelligence and is great at extracting and mastering the often highly non linear patterns of a given process\, whatever this process might be. The only main requirement is the availability of a large amount of data that describes the behaviour of the process under different conditions and a truckload of computational power. With data collection becoming cheaper and computational power still following Moore’s law\, fitting DL models that produce extremely useful predictions has become a practical reality. \nWhile this family of models is broad\, one particular architecture has reshaped the field of text analysis: the transformer. Transformers were originally introduced to overcome the limitations of earlier neural networks when dealing with sequential data such as text\, where long range dependencies and contextual meaning matter. Their ability to process entire sequences in parallel and to model relationships between all words at once made them uniquely suited for language tasks. \nLarge Language Models (LLMs) are essentially very large transformer networks trained on massive text corpora. They represent a natural continuation of deep learning\, but with capabilities—reasoning over text\, summarising documents\, generating explanations—that go far beyond what earlier DL architectures could achieve. Understanding LLMs therefore benefits from first understanding the deep learning principles on which they are built.\nAnmeldeschluss: 2026-10-08\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/from-deep-learning-to-transformers-foundations-of-modern-llms-e0578/
URL:https://avoe.at/event/eaa-web-session-from-deep-learning-to-transformers-foundations-of-modern-llms/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
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