Insurers Rapidly Adopting Machine Learning

machine learning

Earnix, a provider of analytics solutions for the financial services industry, today announced the results of a global survey of insurance executives, which shows wide adoption of Machine Learning across the globe, and the expectation that ML 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 organization 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%).

Although nascent, most companies using Machine Learning have realized measurable benefits. Over half of the respondents (57%) said that Machine Learning 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 organizations. Eighty-two percent say their organization is relatively inexperienced with Machine Learning.

According to Udi Ziv, CEO of Earnix, “The insurance industry has always been data-driven and the use of This 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.”

Kirstie Magowan

Kirstie Magowan

Kirstie Magowan is the managing editor of IT Chronicles. Kirstie is an experienced journalist and publisher who has been working in the IT Service Management industry since 1999. Kirstie is a regular speaker at industry conferences globally.