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. 

Robot Pointing on a Wall

March 4, 2024

By Luba Orlovsky

In the rapidly evolving world of ML and AI, the power of predictive analytics is undeniable. Yet as we harness this new power, we must also navigate the complex landscape of fairness and ethics. We must also do all we can to create equal opportunities and outcomes across different groups of individuals, regardless of their race, gender, age, or other sensitive attributes.

What I See for 2024 and Beyond

February 1, 2024

By L’équipe d’Earnix

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.

Great Expectations Drive Great Outcomes

January 29, 2024

By Osnat Yanushevsky Yacoby & Doug Wing

We live in a world of high and ever-increasing expectations. In our personal lives, we expect products and services to meet and exceed expectations. In our professional lives, especially when dealing with vendors and partners, the same applies.

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 L’équipe d’Earnix

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.