The Earnix Blog: Resources for Insurance and Banking Leaders
June 25, 2026
By Yuval Ben Dror & Yitzhak Yahalom
Discover how Model to Rating Structure Distillation helps insurers transform complex machine learning models into transparent, production-ready rating structures—preserving predictive performance while meeting governance, operational, and regulatory requirements.
April 28, 2026
By Yuval Ben Dror
Discover how KPI-focused data monitoring helps insurers and banks distinguish statistical noise from real business risk by connecting data drift directly to outcomes like loss ratio, conversion, and profitability.
January 29, 2026
By Luba Orlovsky & Shilo Horev
Earnix Automatic GLM preserves the transparency and regulatory trust of traditional GLMs while automating complex feature engineering to capture non-linear effects, enabling explainable, auditable models with stronger predictive performance and faster deployment in regulated financial environments.
October 27, 2025
By Earnix Team
Amid rising costs and fierce competition, insurers must harness advanced analytics and dynamic pricing to achieve sustainable profitability in 2025 and beyond.
October 19, 2025
By Yuval Ben Dror & Eyal Bar Natan
Discover how Earnix’s Hierarchical Level Selector intelligently merges categorical hierarchies to create cleaner, faster, and more accurate predictive models. This innovative feature helps insurers and banks simplify complex data structures, improving both model performance and explainability.
September 18, 2025
By Noga Aloni
Earnix is introducing Elevate Data, a governed and scalable foundation built to handle the rising volume, variety, and velocity of insurance data. It streamlines access and governance so insurers can reduce risk, keep models accurate, and align business with analytics at speed.