The Earnix Blog: Resources for Insurance and Banking Leaders

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.

The Rise of Synthetic Data

November 13, 2023

By Earnix Team

Data is an invaluable asset in any business, but particularly in businesses such as insurance and banking, where the products are intangibles, instead of physical goods. Much of these businesses’ revenue, profitability and market share are driven by using data as a competitive weapon.

Pricing Analytics for Consumer Lending: Solutions to Improve User-Friendliness

October 15, 2023

By Noga Aloni

The overarching theme of the global consumer lending landscape over the past couple of years is focused mainly on one thing: How should lenders look at setting loan and lease pricing and managing portfolio risk in a market that is constantly changing?