Target Encoding Applied to Insurance: Squeezing More Value from Your Data

December 11, 2023

By Luba Orlovsky

In the dynamic world of insurance, predicting risk and demand for policies accurately is paramount. By applying machine learning (ML), insurers are now better equipped than ever to make these predictions with confidence as they seek to increase revenue, improve profitability, and manage risk.
5 Key Lessons Learned for Maximizing the Value of AI in the Enterprise

October 22, 2023

By Earnix-Team

AI has captured imaginations, investments, and headlines around the world, from boardrooms to corporate strategy sessions to the popular media. It has already affected the way we do business, how we shop for goods and services, and the way live our daily lives.

Automatic Generalized Linear Models (GLM) in Insurance & Banking

March 28, 2023

By Luba Orlovsky

To make a cake, you need to have specific ingredients: eggs, milk, flour, etc. The same applies to a model, you need to have variables such as age, tenure, and price.

Use the Past to Improve the Future: 5 Trends That Affected Insurers in 2022

January 24, 2023

By Earnix-Team

2022 was a challenging year for insurers, so we've outlined five of the biggest trends insurers faced and how they could continue to impact the entire industry.

Man in Red Button Up Shirt

January 19, 2023

By Earnix-Team

New trends will inevitably arise, forcing insurers to react. To help, we've taken a look at 10 trends that we believe will have an impact on the industry in 2025

Girl Jumping While Holding Umbrella

January 26, 2021

By Udi Ziv

According to the International Data Corporation’s recent report, spending on artificial intelligence (AI) systems will reach $97.9 billion in 2023, with a 28.4% compound annual growth rate from 2018-2023. Insurance, in particular, is trending towards the aggressive adoption of AI, and more specifica ...