Insurance companies increasingly relying on machine learning

More than half, 54 percent, of almost 200 insurance executives recently confirmed that their company was using machine learning for predictive analytical modeling.

They confirmed it to analytics solutions firm Earnix, which used the information to release a report entitled Machine Learning -- Growing, Promising, Challenging.

Of those that are deploying this new tech, almost three quarters (70 percent) say they were using it for risk modeling. Demand models and fraud detection were also mentioned.

Earnix says this means machine learning will bring "significant change" to the industry in the next three to five years.

Most companies have already realized measurable benefits, the company stated. Fifty-seven percent say it helped make their analytical models more precise.

The biggest barriers to adoption is -- you guessed it -- lack of skills, with 82 percent saying they are "relatively inexperienced" with machine learning.

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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