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Our experts share with you their views on the major challenges of the insurance market.
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Towards more inclusive artificial intelligence: gender issues and perspectives
AI is increasingly influencing social, economic, and professional dynamics. However, the role of women in the field of AI is characterized by profound inequalities.
Risk-free rate curves and EIOPA data
Each month, Addactis lists and summarizes the economic parameters used to produce the solvency ratio and the economic balance sheet: risk-free rate curves, volatility correction, symmetrical equity adjustment, etc. Read our article now.
Reserving : Bornhuetter–Ferguson & Loss Ratio methods
It is essential for an insurer to have an accurate and correct estimate of its reserves, which can be achieved using the Bornhuetter-Ferguson and Loss Ratio methods.
Future of Insurance: the transformative power of AI on results explainability
In this article, we explore how AI agents contribute to the explainability of results by providing detailed information on complex processes and ensuring that decisions are transparent and understandable.
Discover the key points in our infographic!
Addactis acquires namR insurance business & capabilities
Addactis announces the acquisition of NamR’s insurance business to enhance its position at the forefront of climate-related challenges in the insurance industry.
Reserving: Chain Ladder, the essential method
In non-life insurance, reserving is a regulatory component of risk management. Its purpose is to estimate the technical provisions needed to cover the insurer’s future commitments.
Solvency II: EIOPA publishes the Ultimate Forward Rate (UFR) for 2026
Solvency II – Ultimate Forward Rate (UFR) for 2026: Read our experts’ comments and analyses on EIOPA’s latest publication about UFR.
How new technologies are shaping the insurance risk management?
Insurance is undergoing a rapid transformation, powered by AI & tech. How is innovation reshaping risk management, regulatory compliance, and profitability?
Explainable Boosting Machine model in car insurance
Discover how the Explainable Boosting Machine (EBM) model facilitates non-life insurance underwriting thanks to advanced machine learning techniques.
