IoT und Data Science in der Versicherungswirtschaft: Innovative Lösungsansätze für Aktuare
Watson IoT Center München
Mies-van-der-Rohe Straße 4-10
IRFRC 2017 Annual Conference - Call for Papers
New Applications of Actuarial Science in Managing Risks
Singapore, 29 - 30 June 2017
Be part of the ICA 2018
Call for Papers
IAA Colloquia 2017
Please find attached a flyer describing the 3 colloquia which will be organized by the IAA sections.
Do not miss this opportunity to meet actuaries from around the world to exchange on the latest scientific developments in our profession.
A journey into data science for Swiss actuaries - delivered by data scientists
We are announcing a series of trainings directed to the Swiss actuarial community and focused on Data Analytics related topics. The series consists of 4 one-day workshops in which participants will gain hands-on experience in some of the main data analytics methods & use cases applied to insurance industry topics. A key aspect is that these workshop-style sessions are not intended to be of a scientific lecture style, but rather a pragmatic series of sessions, in which participants will work with their own laptops and gain a good understanding of the relevant methods by doing (programming, modelling, etc.) and their application to insurance specific problems. Basic programming skills are therefore required. We intend to run these workshops in a friendly environment where questions are not only allowed, but highly appreciated.
All seminars will be held at Swiss Re, Mythenquai in Zurich.
Weiterbildungsreihe "Produkte après-midi"
Thema: Produktlandschaft Lebensversicherung: gestern, heute und morgen
Ausbildungszyklus "Pension Assets"
Vermögensbewirtschaftung für Verantwortliche in der 2. Säule
3 Nachmittage mit 6 Themenblöcken
Walter Saxer Versicherungs-Hochschulpreis 2016
Einladung zur Preisfeier
30th International Summer School of the Swiss Association of Actuaries (2017)
Topic: Insurance Management: Trends, Challenges and Solutions
Ausflug der Frauengruppe
Besuch des Bundeshauses während der parlamentarischen Session / Visite du Palais fédéral lors des sessions parlementaires
Machine Learning in Insurance Analytics
Machine learning methods are very powerful statistical tools to analyze high-dimensional and complex data and to improve statistical models in insurance. We present two simple methods: the regression tree (supervised learning) and the K-means clustering algorithm (unsupervised learning). We illustrate these methods with different examples in insurance pricing, telematics data, individual claims reserving and mortality modeling.