Machine learning firmly integrated in the insurance industry

Earnix, a provider of analytics solutions for the financial services industry, today announced the results of a global survey of insurance executives, which showed the wide adoption of machine learning across the globe, and the expectation that it will bring “significant” change to the industry over the next three to five years.

Over half (54%) of the almost 200 insurance executives surveyed said that their organisation was using machine learning for predictive analytical modelling. Of those deploying the technology, 70% said they were using it for risk modelling, followed by demand models (45%) and fraud detection (36%).

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Although nascent, most companies using machine learning have realised measurable benefits. Over half of the respondents (57%) said that the AI-based technology has made their analytical models far more accurate, which has led to better risk assessments and ultimately better decisions.

The survey found that the main barrier to wider adoption is a lack of knowledge and expertise within organisations. 82% said their organisation is relatively inexperienced with the technology.

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According to Udi Ziv, CEO of Earnix: “The insurance industry has always been data-driven and the use of machine learning is a powerful trend that will quickly become a competitive edge for those who embrace it.”

“Earnix was an early adopter of this technology and is working with its clients to integrate it into their analytics, enabling them to automate more of their processes and predict outcomes more accurately. The combination of advanced analytics with Machine Learning is truly an innovation with direct and measurable benefits.”


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Nick Ismail

Nick Ismail is a former editor for Information Age (from 2018 to 2022) before moving on to become Global Head of Brand Journalism at HCLTech. He has a particular interest in smart technologies, AI and...

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