The Earnix Blog: Resources for Insurance and Banking Leaders

Le Rapport 2026 sur les tendances du secteur de l’assurance : l’IA et les fondements de la transformation

April 25, 2026

By L’équipe d’Earnix

Découvrez les principaux résultats du Rapport Earnix 2026 sur les tendances du secteur de l’assurance, notamment les raisons de l’accélération de l’adoption de l’IA et l’importance d’une infrastructure de nouvelle génération, de données de qualité et d’une gouvernance robuste afin de parvenir à la déployer à grande échelle.

Ferris Wheel at Night

August 24, 2025

By L’équipe d’Earnix

Adrian Coupland, responsable des assurances EMEA chez Earnix, souligne que l'IA transforme le secteur de l'assurance en améliorant la conception des produits, la tarification et l'engagement client grâce à l'intégration de technologies prédictives et génératives, permettant une meilleure prise de décision, une efficacité opérationnelle accrue, une conformité renforcée et une couverture personnalisée.

People with Arms Raised on Event

June 24, 2025

By L’équipe d’Earnix

Reflect on the five significant moments from the Earnix Excelerate 2024 conference, highlighting key insights from industry leaders on innovation, opportunities, and the role of technology in transforming the insurance sector.

Why the Future of Insurance Depends on Better Decisioning Platforms

May 27, 2025

By L’équipe d’Earnix

Join us at the Earnix Excelerate conference as we explore how agentic AI and advanced decisioning platforms are set to transform the insurance industry, enhancing processes from pricing to customer retention.

People Near Table

March 24, 2025

By Andy How

Managing General Agents (MGAs) are facing increasing capacity challenges due to rising inflation, geopolitical instability, and evolving risk landscapes in the insurance market. To thrive, MGAs must enhance profitability and operational efficiency while leveraging technology and data-driven insights to strengthen relationships with insurers.

Ferris Wheel at Night

March 3, 2025

By Yuval Ben Dror & Yitzhak Yahalom

XGBoost (Extreme Gradient Boosting) builds on the idea of boosting with several optimizations, such as regularization techniques to control overfitting, parallelization to improve computation speed, and handling sparse data more efficiently. These improvements allow XGBoost to achieve high performance, making it one of the most popular machine learning algorithms in practice today.