BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//AKTUARVEREINIGUNG ÖSTERREICHS (AVÖ) - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:AKTUARVEREINIGUNG ÖSTERREICHS (AVÖ)
X-ORIGINAL-URL:https://avoe.at
X-WR-CALDESC:Veranstaltungen für AKTUARVEREINIGUNG ÖSTERREICHS (AVÖ)
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260602T090000
DTEND;TZID=Europe/Vienna:20260603T170000
DTSTAMP:20260404T112957
CREATED:20260113T144636Z
LAST-MODIFIED:20260113T144636Z
UID:10000615-1780390800-1780506000@avoe.at
SUMMARY:EAA Web Session 'Fit4AI compact'
DESCRIPTION:The two-day online seminar 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. \n 
URL:https://avoe.at/event/eaa-web-session-fit4ai-compact/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260608T084500
DTEND;TZID=Europe/Vienna:20260609T150000
DTSTAMP:20260404T112957
CREATED:20251216T174523Z
LAST-MODIFIED:20251216T174523Z
UID:10000607-1780908300-1781017200@avoe.at
SUMMARY:EAA Seminar 'Machine Learning & Generative AI: A Hands-On Guide to Actuarial Practice'
DESCRIPTION:The purpose of this seminar is to provide participants with a solid understanding of both\ntraditional and modern AI technologies\, blending conceptual knowledge with hands-on coding exercises. Participants will learn to critically assess\, implement\, and experiment with machine learning models and generative AI techniques\, and apply them effectively in actuarial practice\, tailored to their professional needs and interests.\nAnmeldeschluss: 2026-06-02\nLink: https://actuarial-academy.com/seminars/seminar?No=E0544
URL:https://avoe.at/event/eaa-seminar-machine-learning-generative-ai-a-hands-on-guide-to-actuarial-practice/
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260611T100000
DTEND;TZID=Europe/Vienna:20260611T120000
DTSTAMP:20260404T112957
CREATED:20260210T191334Z
LAST-MODIFIED:20260210T191334Z
UID:10000623-1781172000-1781179200@avoe.at
SUMMARY:EAA Web Session 'Modelling Lapse Rates in Life Insurance'
DESCRIPTION:The purpose of the session is to provide a comprehensive technical overview of methods used to model life insurance lapse and surrender rates\, while demonstrating how these approaches integrate with actuarial cash flow models\, which support accounting\, pricing\, risk\, and solvency assessments. \nKey determinants of lapse behaviour will be discussed\, ranging from market-dependent factors such as interest rates\, unemployment\, and economic cycles to contract-specific influences like product design\, policyholder demographics\, and distribution channels. The session will also include a review of empirical findings\, including competing hypotheses that link lapse rates to interest rate movements or policyholder liquidity needs. \nSeveral modelling concepts will be overviewed. These include traditional segment-based assumptions\, statistical approaches such as one-factor models\, generalized linear models (GLM) with emphasis on logistic regression\, and their extensions. Machine learning approaches such as classification and regression trees\, random forests\, gradient boosting\, and neural networks will also be considered\, with attention to their opportunities and constraints in actuarial contexts. \nFrom a technical perspective\, the session will focus on Key determinants of lapse behaviour\, variable selection\, and diagnostic tools\, including residual analysis\, goodness-of-fit tests\, and predictive performance metrics. Backtesting and validation strategies will also be discussed. Finally\, the session will address practical aspects of implementation\, including deployment in R and/or Python\, integration with actuarial systems and its challenges.\nAnmeldeschluss: 2026-06-09\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/eaa-web-session-modelling-lapse-rates-in-life-insurance-e0551/
URL:https://avoe.at/event/eaa-web-session-modelling-lapse-rates-in-life-insurance/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260615T100000
DTEND;TZID=Europe/Vienna:20260615T120000
DTSTAMP:20260404T112957
CREATED:20260210T190923Z
LAST-MODIFIED:20260210T190923Z
UID:10000622-1781517600-1781524800@avoe.at
SUMMARY:EAA Web Session 'Power Query\, Power Pivot & Power BI for Actuaries'
DESCRIPTION:Starting from Microsoft Excel\, this web session will demonstrate how Power Query\, Power Pivot\, and Power BI can be integrated to create a seamless and efficient actuarial data workflow. Power Query\, via the M language\, enables automated data extraction and transformation. Power Pivot allows for the construction of robust Data Models and the use of the DAX language for advanced calculations. \nThese Data Models can be copied directly from Power Query into Power BI\, where interactive visualisations and reporting further enhance actuarial analysis. The session focuses on practical actuarial examples\, illustrating how the combined use of M\, DAX\, and the Data Model across all three tools enables actuaries to manage complex data tasks more efficiently and deliver clearer\, more impactful results.\nAnmeldeschluss: 2026-06-11\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/eaa-web-session-power-query-power-pivot-power-bi-for-actuaries-e0560/
URL:https://avoe.at/event/eaa-web-session-power-query-power-pivot-power-bi-for-actuaries/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260616T093000
DTEND;TZID=Europe/Vienna:20260616T123000
DTSTAMP:20260404T112957
CREATED:20260304T112639Z
LAST-MODIFIED:20260304T112639Z
UID:10000630-1781602200-1781613000@avoe.at
SUMMARY:EAA Web Session 'Solvency II Update ' on 16 June 2026
DESCRIPTION:The amended Solvency II Directive entered into force on 28 January 2025 and will apply from 30 January 2027 following national transposition. \nThis web session will provide an overview of the key amendments introduced by the revised Directive and the main attention points from the Delegated Regulation published on 29 October 2025 by the Commission. It will also cover the ongoing EIOPA consultation papers and the contribution of the AAE Solvency II Working Group. \nYou will gain a clear understanding of the practical implications of the new framework\, its expected impact on insurers and supervisors\, and the preparatory steps needed ahead of the 2027 application date.\nAnmeldeschluss: 2026-06-14
URL:https://avoe.at/event/eaa-web-session-solvency-ii-update-on-16-june-2026/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260617T100000
DTEND;TZID=Europe/Vienna:20260617T120000
DTSTAMP:20260404T112957
CREATED:20260210T190801Z
LAST-MODIFIED:20260210T190801Z
UID:10000621-1781690400-1781697600@avoe.at
SUMMARY:EAA Web Session 'Causal AI for Actuarial Models'
DESCRIPTION:For years\, correlation has been central to the actuarial profession’s practice. Actuaries have mastered the art of identifying patterns in historical data to price risk and predict future losses. However\, in the era of „Big Data“ and increasingly complex algorithms\, there is a critical limitation: traditional statistical models can tell us what is happening\, but they often struggle with why. While a predictive model may identify a strong association between a specific variable and a loss\, it does not establish a direct cause-and-effect relationship. Building on Judea Pearl’s ideas\, Causal AI helps actuaries move from correlations in historical data to causal relationships. \nIs causal inference a fashion of the moment? No—for the modern actuary\, it represents a step toward actively influencing outcomes. Instead of asking\, „What usually happens?“ actuaries can now answer\, „What would happen if we changed this specific factor?“. By using causal diagrams (DAGs) and the „Ladder of Causation\,“ actuaries can distinguish true risk drivers from collider bias. \nCausal AI enables product designs that reflect contemporary lifestyle habits. For instance\, it can support creating adaptive premiums\, improving transparency and fairness in underwriting by embedding causal reasoning directly into the sales process\, and leveraging IoT data with updated causal analysis to provide a flexible subscription that reacts to the user’s changing risk profile. \nIn this seminar\, we will explore the formal scientific discipline of causal inference and the transition into the actuarial field. Will explore new actuarial toolkits needed to address challenges in the incoming actuarial work.\nAnmeldeschluss: 2026-06-15\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/eaa-web-session-causal-ai-for-actuarial-models-e0563/
URL:https://avoe.at/event/eaa-web-session-causal-ai-for-actuarial-models/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260618
DTEND;VALUE=DATE:20260620
DTSTAMP:20260404T112957
CREATED:20260210T191716Z
LAST-MODIFIED:20260210T191716Z
UID:10000624-1781740800-1781913599@avoe.at
SUMMARY:ECA 2026
DESCRIPTION:On 18 and 19 June 2026\, the Actuarial Association of Europe (AAE) will hold the 6th European Congress of Actuaries (ECA 2026) in Paris\, France.\n\n\n\n\n\n\nHosted by the Actuarial Association of Europe (AAE) together with the Institut des actuaires (IA)\, this prestigious on-site event is expected to bring together more than 350 leading experts and decision-makers from across Europe and beyond. Building on the success of previous congresses\, ECA 2026 will once again offer outstanding networking opportunities and a platform for knowledge exchange within the European actuarial community.
URL:https://avoe.at/event/eca-2026/
ORGANIZER;CN="AAE":MAILTO:info@actuary.eu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260622T090000
DTEND;TZID=Europe/Vienna:20260623T113000
DTSTAMP:20260404T112957
CREATED:20260304T111729Z
LAST-MODIFIED:20260304T111729Z
UID:10000629-1782118800-1782214200@avoe.at
SUMMARY:EAA Web Session 'The New Insurance Performance Metrics (in Gaap\, Solvency 2 & IFRS)' on 22/23 & 25/26 June 2026
DESCRIPTION:on 22/23 & 25/26 June 2026 \nDue to the inversion of the production cycle\, the insurance business is very different from other traditional industries. Understanding\, measuring and managing the performance of insurance companies is difficult due to the specific risks insurance companies must cover. It is therefore essential that you\, as an employee of the insurance sector\, understand how your company operates\, how its activity is measured via the balance sheet and the income statement\, which main regulations influence this measure\, which indicators are used to assess the performance and what levers can improve this performance. \nThe aim of this web session is to:\n– Understand how to read an insurance balance sheet (with a focus on technical provisions and own funds)\n– Be able to read an income statement (P&L) across regulatory frameworks\n– Compute relevant Key Performance Indicators (KPIs)\n– Understand the impact of risk mitigation (reinsurance) and Assets and Liabilities Management (ALM) on the KPIs \nWe will cover life as well as non-life insurance. Health insurance will not be specifically covered.\nAnmeldeschluss: 2026-06-18
URL:https://avoe.at/event/eaa-web-session-the-new-insurance-performance-metrics-in-gaap-solvency-2-ifrs-on-22-23-25-26-june-2026/2026-06-22/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260624T090000
DTEND;TZID=Europe/Vienna:20260624T121500
DTSTAMP:20260404T112957
CREATED:20260210T190604Z
LAST-MODIFIED:20260210T190604Z
UID:10000620-1782291600-1782303300@avoe.at
SUMMARY:EAA Web Session 'How to Read the IFRS Balance Sheet for Insurers'
DESCRIPTION:In 2017\, after more than two decades of debates\, outreach\, and Exposure Drafts\, the IASB finally published the new IFRS 17 standard for Insurance Contracts. Following additional years of further debates on several actuarial and accounting-related aspects the new standard has become effective on 1st January 2023 and fundamentally changed the way on how many insurance companies present their obligations and their financial performance stemming from insurance contracts. \nAs experience shows\, actuaries play a key role in that new reporting regime: The standard requires many fundamental decisions\, which determine the reporting of the amount and profile of IFRS results for years to come. Actuaries need to understand the corresponding consequences for reporting and to be able to explain it to their top-management. They also play a key role in the preparation of landmark decisions and need to closely collaborate and communicate with other functions\, i.e. the accounting function. \nAccordingly\, a strong focus of this web session is to assist actuaries to better understand the key reporting requirements of IFRS 17\, in particular regarding the IFRS balance sheet and statement(s) of financial performance (Profit and Loss as well as Other Comprehensive Income). The web session will be useful for both finance and actuarial experts involved in IFRS 17 reporting and analysis or simply interested in the practical application of this ground-breaking new standard.\nAnmeldeschluss: 2026-06-22\nLink: https://actuarial-academy.com/en/continuing-education/upcoming-trainings/detail/eaa-web-session-how-to-read-the-ifrs-balance-sheet-for-insurers-e0538/
URL:https://avoe.at/event/eaa-web-session-how-to-read-the-ifrs-balance-sheet-for-insurers-2/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260629T100000
DTEND;TZID=Europe/Vienna:20260629T121500
DTSTAMP:20260404T112957
CREATED:20260304T110620Z
LAST-MODIFIED:20260304T110620Z
UID:10000627-1782727200-1782735300@avoe.at
SUMMARY:EAA Web Session 'Deep Learning in Finance for Pension Funds with Examples'
DESCRIPTION:Deep Learning supports Solvency Requirements for Pension Funds and ensures the Guarantee of Benefit Payments at any time. It is particularly well-suited for time series forecasting related to inflation\, yield curves and asset allocation returns in order to prepare and review these. We use the Long short-term memory (LSTM) method\, a type of recurrent neural network (RNN)\, as well as other neural networks. \nDeep learning is a type of machine learning that uses multi-layered neural networks. The libraries programmed with Python are fascinating areas of research because they help to verify time series forecasts and to understand how long it might take for the pension fund to reach the target value of the investment fluctuation reserve based on the current situation. \nRNN-based models\, particularly LSTMs\, are increasingly being used to capture complex spatio–temporal dependencies\, while hybrid architectures combine convolutional and recurrent components (i.e.\, CNN-LSTM). Researchers have developed hybrid models that further improve prediction accuracy\, which is very important for financial forecasting.\nAnmeldeschluss: 2026-06-25
URL:https://avoe.at/event/eaa-web-session-deep-learning-in-finance-for-pension-funds-with-examples/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
END:VCALENDAR