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EAA e-Conference on Data Science & Data Ethics: Programme Published
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EAA e-Conference on
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Data Science & Data Ethics
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14 May 2025 | online
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We are pleased to announce the release of the preliminary programme for the upcoming EAA e-Conference on Data Science & Data Ethics. This event will bring together leading experts to discuss the latest developments in data science, AI, and ethics in actuarial practice.
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Explore the Preliminary Programme
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Discover the latest trends and established practices in the field of Data Science and Data Ethics through our thoughtfully curated programme featuring keynote presentations and expert speakers. 

This year's agenda delves into discussions on Generative AI in actuarial practice, the role of AI agents in asset and liability management (ALM), and the use of large language models (LLMs) to enhance risk factor scenario generation.

Other presentations will explore methodological aspects of outlier detection in investment and insurance products, as well as fundamental actuarial challenges such as pricing, reserving, and capital modelling - including key insights into Simpson's Paradox and causality in actuarial work.
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Have a look at the preliminary programme and a detailed overview of all lectures:
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conference programme
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Early Bird Reminder:
Secure Your Discount Before 14 March 2025!
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Do you want to contribute to the discussion on the latest developments in data science, data ethics and AI? Do you want to exchange ideas with experts and colleagues and make useful contacts?

Then don't miss your chance to join the EAA e-Conference on Data Science & Data Ethics on 14 May 2025 - and benefit from the early bird discount.

Register now to secure your spot at one of the most relevant conferences in the field and save on your registration fee. The early bird discount is available until 14 March 2025.
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Insert to diary
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Register now!
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­ Sponsored by ­  OliverWyman 
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Become a Sponsor and Supporter
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Come and join this must-attend event! Please get in touch with us to discuss your opportunities.
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Request details
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­ actuarial-academy.com ­
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