The Earnix Blog: Resources for Insurance and Banking Leaders

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.

Driving Financial Service Excellence Through Dynamic Decisioning & Analytics

August 15, 2022

By Earnix Team

In order to capture the full business value of their efforts, financial services firms need to take a more holistic view of transformation. They need to ensure that they are covering the entire customer lifecycle, and that the effort encompasses the entire organization. Only then can they become truly connected, agile, and resilient.

Aligning Business & Analytics to Drive Banking Success

February 22, 2022

By Noga Aloni

Artificial Intelligence (AI) is disrupting industries across the board. In the banking world, analytics can sometimes clash with the opinions of decision-makers who use their intuitions and years of experience to make judgments and reach their goals. The most advanced data analytics system is pointl ...

Data Codes through Eyeglasses

July 6, 2021

By Luba Orlovsky

Imagine you have a magical tool that allows you to build a perfect model of the world – as precise as you wish. A model that can give you all the answers about the future. It can tell you anything! Just ask, “Is it going to rain tonight?” Or even better, “What will the price for oil be tomorrow?” An ...
Girl Jumping on the Bridge Wearing Black Jacket

June 24, 2021

By Stephane Meslet & Will Ely

The best models should lead to the best profits, right? But many banks seem to be missing a step.  Over the last decade, few subjects have garnered as much buzz as Machine Learning (ML). This subset of Artificial Intelligence (AI) conjures images of brilliant quantitative analysts leveraging bleedi ...
A Solid Analytical Solution: Analytical Sophistication | Earnix

May 18, 2017

By Jonathan Moran

For financial services organizations as well as insurers, analytical sophistication continues to increase in importance as margins continue to shrink. With minimal margins on the majority of products and services, extracting insight from data using analytics is crucial to meeting company objectives. ...