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 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.

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.

Introducing Earnix Pricing Accelerator

June 6, 2023

By Earnix-Team

Thinking of leveraging analytics in your pricing processes but don’t want to be overwhelmed by complex data analysis tools? Want to find ways to better leverage the work of your data science teams? Do you wish there were an easier way to analyze your pricing strategies and make data-driven decisions? Look no further than Pricing Accelerator. 
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.