The Earnix Blog: Resources for Insurance and Banking Leaders
July 24, 2025
By Yuval Ben Dror
Discover how Smart Grouping revolutionizes the way insurers and banks tackle categorical features, improving model clarity and efficiency through the innovative Smart Grouping technique in Auto-GLM, leading to more interpretable and credible analytical outcomes.
March 3, 2025
By Yuval Ben Dror & Yitzhak Yahalom
XGBoost (Extreme Gradient Boosting) builds on the idea of boosting with several optimizations, such as regularization techniques to control overfitting, parallelization to improve computation speed, and handling sparse data more efficiently. These improvements allow XGBoost to achieve high performance, making it one of the most popular machine learning algorithms in practice today.
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.
April 9, 2024
By Earnix Team
Today there’s a new opportunity to take advantage of new innovations and capabilities in the insurance industry. AI now plays a crucial role in insurance analytics due to its ability to process vast amounts of data, identify patterns, make predictions, and automate tasks.
March 28, 2024
By Earnix Team
In the quest to be agile, insurers need the ability to experiment and innovate with machine learning models in a mode that gives them maximum flexibility. Earnix Model Accelerator extends the capabilities of the Earnix platform, and is designed to streamline the process of building and incorporating advanced models,.
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.