Lumnion Annual Meeting “Risk Pricing and it's Sustainability in a Volatile Markets


Lumnion Annual Meeting “Risk Pricing and it's Sustainability in a Volatile Markets

Our annual meeting will be centered around several important topics of discussion, including the macroeconomic situation and potential risks that may arise in the future.

We will explore the value that Lumnion offers, how it prices risk in volatile markets, and what this means for the non-life and health insurance sectors. We will also be taking a closer look at the current situation in Europe, focusing on developments in Germany.

Our goal for this meeting is to provide a comprehensive overview of these topics and to engage in productive discussions that will help us better understand the challenges and opportunities that lie ahead. We look forward to seeing you there.

It will be a great honor to have Okan Utkueri as our moderator and Dr. Arzu Akkas, Genco Fas, Rolf van Dawen, and Aren Haddeler as our speakers.

About Lumnion
Lumnion develops state-of-the-art AI-driven pricing platforms for the Non-Life & Health Insurance Industry.

With the use of Artificial Intelligence and Machine Learning, About connecting to any core system, Lumnion provides a unique Lumnion offers a unique end to end platform that can connect to any core system, automating data preparation with more precise risk pricing, impact analysis, and dynamic pricing.

Lumnion's open platform allows using all widely accepted Machine Learning Algorithms, including XG Boost, Random Forest, decision tree, GLM, and GAM for risk modeling. Moreover, Lumnion has also developed its methodology to make any black box machine learning algorithms transparent to become operationally usable.

Lumnion has developed its methodology to make the results of the black box machine learning algorithms transparent so that they become operationally usable, even with the legacy core systems.

With Lumnion's platform, the results of any ML algorithms are transparent, showing which variables to use, their significance, and possible interaction combinations, which allows actuaries to see the results.

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