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.

AI & Machine Learning Explainability - Unlocking the Black Box

January 15, 2024

By Luba Orlovsky

In the bustling world of insurance, a quiet revolution is unfolding. It's not led by charismatic CEOs or flamboyant industry disruptors. Instead, it's powered by something far more enigmatic: machine learning (ML). But there's a catch – these oracles are often inscrutable, their predictions shrouded in mystery. This is where the concept of ML explainability enters the discussion, turning the spotlight on the inner workings of these digital soothsayers.

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.

Paving the Way for Double-Digit GWP Growth in Aggregator Markets

December 18, 2023

By Earnix Team

Aggregators, or price comparison platforms, offer consumers more choice, and a method of directly comparing options for a given type of insurance. The rankings that result from entering a few bits of personal or property information are most often presented in descending order by price.

Why Insurers Prioritize Profitability Over Growth

December 13, 2023

By Earnix Team

As insurers continue to face lingering economic conditions and challenging markets, they are devising new strategies in response. One interesting shift is insurers’ increased focus on profitability instead of growth.

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.