January 5, 2025
By Yuval Ben Dror, Data Science Researcher, Earnix & Eyal Bar Natan, Team Leader, Data Science, Earnix
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
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
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.
February 1, 2024
By Reuven Shnaps PhD
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.
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.
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