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The GAIF 35 conference focused on showcasing developments in the insurance field, particularly in emerging risks, parametric insurance, and the applications of artificial intelligence and machine learning in actuarial work. The sessions discussed how to model and assess new risks that lack sufficient historical data, utilizing AI tools to enhance accuracy and speed up liquidity release after disasters. They also highlighted the role of parametric insurance in disaster response by providing flexible solutions that help companies restore their cash flows and reduce coverage gaps, emphasizing the design of precise activation indices and more tailored risk assessment methods. The discussions stressed the importance of integrating actuarial skills with technology, with continuous advancements in predictive models and data analysis to strengthen the insurance industry's capability to address new risks and expand coverage.
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