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| Early Bird Deadlines Approaching! |
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We're thrilled to announce our upcoming early bird offerings, providing you with the perfect opportunity to plan your future CPD trainings while taking advantage of special discounts.
But remember, these early bird offers are only valid for a limited time!
Be sure to visit our website to uncover a diverse selection of web sessions, on-site seminars, as well as CERA and Actuarial Data Science trainings.
Don't let this opportunity pass you by and make this spring a time of elevated understanding and learning!
Speaking of further education, we have a great offer for students - please find //stefano%Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.:993/fetch%3EUID%3E.INBOX%3E15260#x_e-Conference" style="color:#0f2b72; font-weight:bold; text-decoration:underline">more information below! |
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| Quantifying Uncertainty in Actuarial Models: An Introduction to Conformal Prediction |
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| 12 June 2025, 9:30-13:00 CEST |
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As the actuarial landscape becomes increasingly data-driven, traditional statistical methods are evolving, linking point estimates with quantifiable uncertainty. Conformal Prediction is a powerful framework used to evaluate the uncertainty of predictions. It turns point predictions into prediction regions, in this way, when you make a prediction, the output has probabilistic guarantees that it covers the true outcome. In this web session, we will explore the theoretical foundations of Conformal Prediction, its assumptions, methodology, and advantages over traditional approaches. Participants will see how this technique can be a disruptive innovation in risk assessment, pricing, reserving, and forecasting by integrating uncertainty directly into predictions. The session is balanced between theory and hands-on activities, offering real-world examples and code demonstrations in classification, regression, time series, natural language processing (NLP), and computer vision, all applied to challenges in the actuarial field.
Early-bird discount is available for bookings made by 1 May 2025. |
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| Non-Life Pricing Using Machine Learning Techniques with R Applications |
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| 16-18 June 2025, 9:00-14:00 (day 1) | 9:00-13:45 (day 2&3) CEST |
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Non-Life insurance is facing many challenges ranging from fierce competition in the market or evolution in the distribution channel used by consumers to evolution of the regulatory environment.
Pricing is the central link between solvency, profitability and market shares (volume). Improving pricing practice encompasses several dimensions:
- Technical: is our pricing adequate to cover the underlying cost of risk of my policyholders and the other costs we are facing? Which are the key variables driving the risk? Are they adequately taken into account in our pricing? What’s the impact of the claims history of my policyholder on its expected risk? In which segment are we profitable and in which are we not profitable?
- Competition: at what price will we attract the segments that we target and price out those that we do not want? Is the positioning of our competitors influencing our pricing practice and our profitability? What’s my position with respect to my competitors in terms of pricing? What are the segments in which I am well positioned and the segments where I am not well positioned?
- Elasticity: what price (evolution) are our existing customers prepared to accept? Does the sensitivity to price evolution depend on the profile of my customer?
- Segmentation: is our segmentation granular enough for our purposes?
The aim of this web session is to present some advanced actuarial/statistical techniques used in non-life pricing, competition analysis and profitability analysis. The web session focuses on some practical problems faced by pricing actuaries and product managers and presents some new techniques used in non-life pricing in order to open new perspectives for product development (competition analysis, profitability analysis,…).
Early-bird discount is available for bookings made by 5 May 2025. |
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| Third-Party Risk Management: Managing External Service Providers |
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| 23 June 2025, 9:00-13:30 CEST |
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In an increasingly globalized and competitive business environment, outsourcing activities or services has become a key strategy for many organizations. This approach allows access to specialized expertise, reduces operational costs, and enables a focus on core competencies. However, it also involves transferring critical responsibilities to third parties, introducing new financial, operational, legal, technological, and reputational risks that can significantly impact the organization if not properly managed.
The Outsourcing Risk Management Program is designed to address these challenges by providing a systematic framework to identify, assess, mitigate, and monitor the risks inherent to outsourcing. This program focuses on establishing strong relationships with providers, ensuring compliance with applicable regulations, and protecting the interests of the organization, its customers, and other stakeholders.
By implementing this program, the goal is not only to minimize the risks associated with outsourcing but also to maximize the benefits of this practice, ensuring operational continuity, service quality, and alignment with the company’s strategic objectives. This is achieved through structured processes, advanced monitoring tools, and an organizational culture that values proactive risk management.
Early-bird discount is available for bookings made by 12 May 2025. |
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| EAA e-Conference on Data Science & Data Ethics: Special Offer for Students! |
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| 14 May 2025, 9:30-17:00 CEST |
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To celebrate 20 years of EAA, we are offering free tickets for students for the 6th EAA e-Conference on Data Science & Data Ethics!
If you are currently enrolled at a university and interested in actuarial science, data or risk - this is your chance to join a unique virtual event with international experts.
How to apply: Just send a short Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. including proof of your student status (e.g., a university ID or current enrollment confirmation).
Spread the word to fellow students and join us for a full day of inspiration and learning! |
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