Colorful Cubes And Puzzle Piece

April 28, 2026

By Yuval Ben Dror

Erfahren Sie, wie ein auf KPI ausgerichtetes Datenmonitoring Versicherern und Banken hilft, statistisches Rauschen von echten Geschäftsrisiken zu unterscheiden, indem Datendrift unmittelbar mit Kennzahlen wie Schadenquote, Conversion und Profitabilität verknüpft wird.

Wooden Blocks Men Stack on Top of Each Other Making a Pyramid

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.

One Black Chess Piece Separated From Red Pawn Chess Pieces

July 24, 2025

By Yuval Ben Dror

Discover how Smart Grouping revolutionizes the way insurers and banks tackle categorical features, improving model clarity and efficiency through the innovative Smart Grouping technique in Auto-GLM, leading to more interpretable and credible analytical outcomes.

Person Reaching Out to a Robot

January 5, 2025

By Yuval Ben Dror & Eyal Bar Natan

What’s the best way to handle the analytical challenges facing insurers and banks today? We at Earnix believe it starts with asking the right questions, challenging assumptions, and finding innovative ways to move forward. 

What I See for 2024 and Beyond

February 1, 2024

By Earnix-Team

As 2023 fades from view and 2024 comes into focus, Reuven Shnaps, Earnix Chief Analytics Officer, takes a step back to assess where pricing, rating, and underwriting stand today, and where they may be headed.

Synthetic Data Generation and Its Key Benefits in Insurance

January 10, 2024

By Chen Ben Gal

We will focus on some of the technical aspects behind the generation of Synthetic Data, present some detailed information as to its effectiveness in mimicking original data statistical properties, and present some interesting applications which go beyond replication of the original data.