Person Holding A Green Plant

February 22, 2024

By Earnix-Team

Let's take a closer look at five additional topics and statistics, following our annual research report, “Insurance Operations in a Changing Industry,” which is based on survey results from nearly 400 global insurance executives.

Profits Lead to New Challenges

February 12, 2024

By Earnix-Team

Many insurers are now getting back on track after suffering some of the worst years in their history. Rate increases are also expected to play a role, especially for home insurance premiums. In 2024, many insurers are planning to increase national premiums in the low double digits. These gains can come at the cost of real pains for home and auto insurance customers. Policyholders will now face much higher, even exponential prices for home and auto insurance.

Four Key Predictions for the Insurance Industry in 2024

February 7, 2024

By Earnix-Team

With seemingly optimistic conditions ahead, 2024 could be the year insurers get back on track. As they do, we predict they’ll take advantage of the following trends and technology developments.

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.

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.