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X-WR-CALDESC:Veranstaltungen für AKTUARVEREINIGUNG ÖSTERREICHS (AVÖ)
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BEGIN:VEVENT
DTSTART;TZID=UTC:20221102T090000
DTEND;TZID=UTC:20221104T130000
DTSTAMP:20260416T032907
CREATED:20220531T103653Z
LAST-MODIFIED:20220531T103653Z
UID:10000099-1667379600-1667566800@avoe.at
SUMMARY:EAA Web Session: Resilience for Actuaries Veranstalter: EAA
DESCRIPTION:The Resilience for Actuaries course is an interactive training course that ensures that the concepts presented are immediately applied through various exercises whether individually or in small groups. It is designed to give you a solid foundation on the topic of resilience to increase your own and even transmit that knowledge to your colleagues or team. \nWhile personal resilience includes looking at work-related issues\, it also necessitates to look at the other aspects of your life. The course will give you the opportunity to reflect on the bigger picture\, to identify important areas of improvement and to implement the needed habits or changes. A small change can make a huge difference and the work of building and increasing resilience will continue even after the course. \nAt the end of the course\, you will know exactly what to implement in your life for more resilience\, more confidence and less stress. You may even start to thrive in challenging environments! \nAnmeldeschluss: 2022-10-30 \nLink: https://actuarial-academy.com/seminars/seminar?No=E0330
URL:https://avoe.at/event/eaa-web-session-resilience-for-actuaries-veranstalter-eaa/
LOCATION:Wien
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221108T090000
DTEND;TZID=UTC:20221108T120000
DTSTAMP:20260416T032907
CREATED:20220221T121200Z
LAST-MODIFIED:20220221T121200Z
UID:10000250-1667898000-1667908800@avoe.at
SUMMARY:EAA Web Session: Machine Learning: More Art than Science?
DESCRIPTION:Machine learning is currently on everybody’s lips and seems to be a hot topic for many companies. But what is the story behind machine learning and does it really help us to make more accurate predictions? Are we able to implement systems with the ability to automatically learn and improve from experience without being explicitly programmed via training? Are we talking about black box models which cannot be controlled? What about regulatory requirements? \n… Is machine learning more art than science? \nIn this web session we want to learn more about the fast-growing field of machine learning and give answers to these questions. \nRegistration deadline: 4 November 2022
URL:https://avoe.at/event/eaa-web-session-machine-learning-more-art-than-science/
LOCATION:Online-Veranstaltung (MS Teams)
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221109T100000
DTEND;TZID=UTC:20221109T120000
DTSTAMP:20260416T032907
CREATED:20220703T200520Z
LAST-MODIFIED:20220703T200520Z
UID:10000112-1667988000-1667995200@avoe.at
SUMMARY:EAA Web Session: Solvency II Internal Models: Which Techniques for A New Wave?
DESCRIPTION:In the context where further new capital models are under recent development\, especially in Europe under Solvency II\, the aim of this web session is to provide an overview of the recently developed modelling techniques related to the derivation of full distributions for the calculation of the capital requirement within Internal Models. \n  \nThe web session will provide a specific emphasis on enhancements of the Least Square Monte Carlo (LSMC) method\, including refining their calibration and validation\, as well as the development of the so-called Multi-Level Monte Carlo (MLMC) method\, allowing for a smart allocation of the inner and outer simulations in any Nested Simulation approach. \nAnmeldeschluss: 2022-11-07
URL:https://avoe.at/event/eaa-web-session-solvency-ii-internal-models-which-techniques-for-a-new-wave/
LOCATION:Wien
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221121T090000
DTEND;TZID=UTC:20221122T123000
DTSTAMP:20260416T032907
CREATED:20220704T101936Z
LAST-MODIFIED:20220704T101936Z
UID:10000266-1669021200-1669120200@avoe.at
SUMMARY:EAA Web Session: Numerical Tools for Cyber Insurance
DESCRIPTION:With the rise of digital economy\, cyber risk has become a major concern for all customer segments. The cyber-insurance market is increasingly developing but with important uncertainties on the real value of the guarantees\, due to the nature of the risk itself. The emerging and evolving nature of cyber risk\, its potential systemic\, with potential very large claims\, make the evaluation of this risk challenging. \nThis session provides numerical tools to help evaluating the systemic component of cyber risk as well as its potential catastrophic nature. For a better quantification of cyber risk\, we present numerical experimentations\, both for the severity component (size of the claims) using extreme value theory\, and the frequency component (self-excitation and clustering features) using Hawkes processes. The session is organized around tutorials for a better understanding and practical application of the concepts and algorithms. \nAnmeldeschluss: 2022-11-17
URL:https://avoe.at/event/eaa-web-session-numerical-tools-for-cyber-insurance/
LOCATION:Wien
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20221124T090000
DTEND;TZID=Europe/Vienna:20221124T170000
DTSTAMP:20260416T032907
CREATED:20211122T163007Z
LAST-MODIFIED:20211122T163510Z
UID:10000035-1669280400-1669309200@avoe.at
SUMMARY:EAA Web Session: Deep Learning with a Focus on Text Analysis
DESCRIPTION:The main purpose of this web session is to get the participants acquainted with DL models\, and applications on text analysis will help achieving this. To this end\, a healthy mix between theory and practice will be provided\, however\, it is important to note that some time will be spend to go through the theoretical foundations of neural networks and hence DL\, as the inner workings of these models are a bit different from the ones of the classic statistical models. \nRegistration deadline: 22 Nov. 2022
URL:https://avoe.at/event/eaa-web-session-deep-learning-with-a-focus-on-text-analysis/2022-11-24/
LOCATION:Online-Veranstaltung (MS Teams)
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20221125T090000
DTEND;TZID=Europe/Vienna:20221125T170000
DTSTAMP:20260416T032907
CREATED:20211122T163007Z
LAST-MODIFIED:20211122T163510Z
UID:10000036-1669366800-1669395600@avoe.at
SUMMARY:EAA Web Session: Deep Learning with a Focus on Text Analysis
DESCRIPTION:The main purpose of this web session is to get the participants acquainted with DL models\, and applications on text analysis will help achieving this. To this end\, a healthy mix between theory and practice will be provided\, however\, it is important to note that some time will be spend to go through the theoretical foundations of neural networks and hence DL\, as the inner workings of these models are a bit different from the ones of the classic statistical models. \nRegistration deadline: 22 Nov. 2022
URL:https://avoe.at/event/eaa-web-session-deep-learning-with-a-focus-on-text-analysis/2022-11-25/
LOCATION:Online-Veranstaltung (MS Teams)
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221128T090000
DTEND;TZID=UTC:20221128T123000
DTSTAMP:20260416T032907
CREATED:20220624T170539Z
LAST-MODIFIED:20220624T170539Z
UID:10000108-1669626000-1669638600@avoe.at
SUMMARY:Introduction to Natural Catastrophe Modelling
DESCRIPTION:Natural Catastrophe Models are a key ingredient for the assessment of Nat Cat risk. Questions like “What losses do we expect from catastrophic events on average?” and “What losses do we need to expect in the worst case?” are becoming more and more relevant\, in particular considering climate change. Natural Catastrophe Models try to answer these questions in a statistical sense\, and have for many years now become an important tool for the assessment of (re-)insurance contracts. In this web session\, we will give a basic introduction to Nat Cat Modelling and its applications. \nAnmeldeschluss: 2022-11-24 \nLink: https://actuarial-academy.com/seminars/seminar?No=E0333
URL:https://avoe.at/event/introduction-to-natural-catastrophe-modelling/
LOCATION:Wien
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221130T090000
DTEND;TZID=UTC:20221130T090000
DTSTAMP:20260416T032907
CREATED:20220307T112614Z
LAST-MODIFIED:20220307T112614Z
UID:10000252-1669798800-1669798800@avoe.at
SUMMARY:EAA Web Session: Actuarial Data Science Introplication
DESCRIPTION:Introplication precisely defines the online program. We intend to give a basic and somewhat deeper introduction\, showing the most important highlights from Actuarial Data Science and its applications. We start at the very beginning\, so no prior knowledge is required. \nIn this two-day web session\, we cover a wide range of topics from the basic concepts of artificial intelligence and machine learning\, through modern data processing technologies and cloud computing\, to the mathematical and statistical concepts of data mining. On our way\, we will touch on important use cases in the actuarial environment and deepen one or the other business case. To this end\, we provide a brief insight into the widely used languages (R\, Python) and development environments in the data science context (RStudio\, Anaconda) and take a look at innovative insurance products based on individualized risk assessments (e.g. pay how you drive). The online training will be rounded off with short and concise reflections on data protection issues and principles for the ethical handling of artificial intelligence in the insurance environment. \nRegistration Deadline: 28 November
URL:https://avoe.at/event/eaa-web-session-actuarial-data-science-introplication-2/2022-11-30/
LOCATION:Online/Streaming
CATEGORIES:European Actuarial Academy (EAA)
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20221130T173000
DTEND;TZID=UTC:20221130T220000
DTSTAMP:20260416T032907
CREATED:20221109T075352Z
LAST-MODIFIED:20221116T002131Z
UID:10000109-1669829400-1669845600@avoe.at
SUMMARY:AVÖ-Punschfest
DESCRIPTION:  
URL:https://avoe.at/event/avoe-punschfest/
LOCATION:KLYO Urania\, Uraniastraße 1\, 1010 Wien\, Österreich
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