BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//AKTUARVEREINIGUNG ÖSTERREICHS (AVÖ) - ECPv6.15.20//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:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20210201T090000
DTEND;TZID=Europe/Vienna:20210201T160000
DTSTAMP:20260510T091056
CREATED:20201202T093830Z
LAST-MODIFIED:20201215T084213Z
UID:10000140-1612170000-1612195200@avoe.at
SUMMARY:EAA Web Session: Deep Learning in Insurance – Theory and Practice
DESCRIPTION:The main purpose of this online training is to get the participants acquainted with DL models. 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. Note that quite a bit of time will also spend on some real insurance applications\, as to clearly illustrate how to use this amazing technology in practice. More specifically\, applications on technical pricing in non-life and text analysis will be provided. \nRegistration deadline: 29 January 2021
URL:https://avoe.at/event/eaa-web-session-deep-learning-in-insurance-theory-and-practice/2021-02-01/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20210202T090000
DTEND;TZID=Europe/Vienna:20210202T160000
DTSTAMP:20260510T091056
CREATED:20201202T093830Z
LAST-MODIFIED:20201215T084213Z
UID:10000141-1612256400-1612281600@avoe.at
SUMMARY:EAA Web Session: Deep Learning in Insurance – Theory and Practice
DESCRIPTION:The main purpose of this online training is to get the participants acquainted with DL models. 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. Note that quite a bit of time will also spend on some real insurance applications\, as to clearly illustrate how to use this amazing technology in practice. More specifically\, applications on technical pricing in non-life and text analysis will be provided. \nRegistration deadline: 29 January 2021
URL:https://avoe.at/event/eaa-web-session-deep-learning-in-insurance-theory-and-practice/2021-02-02/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20210208T100000
DTEND;TZID=Europe/Vienna:20210208T120000
DTSTAMP:20260510T091056
CREATED:20201202T094314Z
LAST-MODIFIED:20201202T094353Z
UID:10000142-1612778400-1612785600@avoe.at
SUMMARY:EAA Web Session "Automating Reports with R Markdown"
DESCRIPTION:Companies in general\, and insurance companies in particular\, spend a lot of resources re-writing the same reports over and over again. This costly and error prone process can be partially or fully automated with R Markdown. \nR Markdown enables you to:\n– Import data from several sources\n– Wrangle it to suit your needs\n– Run models and design state-of-the-art visuals\, and\n– Write reports in several formats\nall within a single application/script! \nMoreover\, the whole process is reproducible which means that it can be automatically re-generated whenever the underlying data or code changes. This web session will be presented in two parts. In the first part\, we show:\n– The structure of an R Markdown document\n– A practical example of an automated report for a fictional casualty insurance company\n– A brief discussion on implementing R Markdown in a corporate environment \nIn the second part\, we show how to write a simple html report with a step by step example. \nRegistration deadline: 4 February 2021
URL:https://avoe.at/event/eaa-web-session-automating-reports-with-r-markdown/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20210222T100000
DTEND;TZID=Europe/Vienna:20210222T120000
DTSTAMP:20260510T091056
CREATED:20201202T094526Z
LAST-MODIFIED:20201202T094605Z
UID:10000143-1613988000-1613995200@avoe.at
SUMMARY:EAA Web Session "Revisiting Life Annuities"
DESCRIPTION:In an increasingly data-driven world both the data being available to actuaries in their daily work as well as the toolbox of algorithms grow significantly. This is because new sources of data are open for actuarial work\, like geo-risk data on granular levels\, data from sensors and all kinds of IoT devices\, health trackers\, telematics data etc. On the algorithmic side\, methods from the area of analytics\, predictive modelling and machine learning as well applications in the area of artificial intelligence (ML in the following). These methods also extend the field of activity of actuaries\, e.g. into the field of customer behaviour analytics. \nWithin this brave new world actuaries must maintain the highest professional standards of data and algorithmic quality. This means that there has to be a systematic management of input data as well as of algorithmic quality throughout actuarial procedures. \nRegistration deadline: 18 February 2021
URL:https://avoe.at/event/eaa-web-session-revisiting-life-annuities/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20210222T100000
DTEND;TZID=Europe/Vienna:20210222T120000
DTSTAMP:20260510T091056
CREATED:20201214T154911Z
LAST-MODIFIED:20201214T154911Z
UID:10000159-1613988000-1613995200@avoe.at
SUMMARY:EAA Web Session "Revisiting Life Annuities"
DESCRIPTION:In an increasingly data-driven world both the data being available to actuaries in their daily work as well as the toolbox of algorithms grow significantly. This is because new sources of data are open for actuarial work\, like geo-risk data on granular levels\, data from sensors and all kinds of IoT devices\, health trackers\, telematics data etc. On the algorithmic side\, methods from the area of analytics\, predictive modelling and machine learning as well applications in the area of artificial intelligence (ML in the following). These methods also extend the field of activity of actuaries\, e.g. into the field of customer behaviour analytics. \nWithin this brave new world actuaries must maintain the highest professional standards of data and algorithmic quality. This means that there has to be a systematic management of input data as well as of algorithmic quality throughout actuarial procedures. \nRegistration deadline: 18 February 2021
URL:https://avoe.at/event/eaa-web-session-revisiting-life-annuities-2/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210223
DTEND;VALUE=DATE:20210224
DTSTAMP:20260510T091056
CREATED:20201202T094716Z
LAST-MODIFIED:20201202T094716Z
UID:10000144-1614038400-1614124799@avoe.at
SUMMARY:EAA Web Session “Solvency II 2020 - Review”
DESCRIPTION:Overall\, the objective of this web session is to inform participants of EIOPAs opinion. We will present EIOPAs advice and discuss deviations from our stance on these issues. In doing so the focus will be on topics with a strong actuarial relevance. \nAnmeldeschluss: 22.2.2021
URL:https://avoe.at/event/eaa-web-session-solvency-ii-2020-review/
END:VEVENT
END:VCALENDAR