Matthew Madahar

By: Matthew Madahar

Formerly a Data Analyst at Axis, and Actuarial Technician at Munich Re, Matthew has a deep understanding of Marine Insurance Data. Matthew is passionate about the impact that data and technology will have on the marine insurance industry and, as Concirrus’ Pre Sales and Support Manager, Matthew works with Concirrus’ clients to help them unlock the value of big data and machine learning.

19 Sep, 2019

RISK, MACHINE LEARNING, TECHNOLOGY, AI, BIG DATA

Data, AI and Machine Learning: essential tools for the future of marine insurance risk modelling

This article was originally published in the 2019 September issue of the IUMI Eye Newsletter.

After years of rising loss ratios and falling profits, there’s a sense of urgency in the marine insurance market to find a way to better understand risk. The Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML) offer the ability to more accurately assess both current and future risk. Despite this, caution around traditional ‘black box’ telematics has driven scepticism over the science behind such solutions. Results from implementing IoT, AI and ML must therefore be transparent, allowing underwriters to clearly understand risk scores and the contributory factors and apply critical thinking.  

Calculating existing and predicting future risk

Static rating factors used in calculating risk don’t account for behavioural and environmental variables. This is significant as both behaviour and environment have a much greater bearing on risk profile. Whilst raw behavioural data is available, it’s not straightforward for the industry to interpret and apply.

Using AI and ML, big data platforms can combine vast behavioural datasets with an insurer’s claims information to produce a risk score for their clients. Algorithms process hundreds of thousands of behavioural factors quickly to find trends and predict future loss values. Importantly, the platform can present information in simple terms so underwriters can benchmark clients against the rest of the market and understand the impact of new deals on their portfolio. 

Technology to enhance, not replace

Underwriters that combine their expertise with insights generated by big data platforms will transform the marine insurance industry. Transparent insight and critical thinking will lead to more profitable business through better risk selection and competitive pricing. The same information could allow Brokers to streamline risk placement, as well as offer new revenue generating consultancy services such as active risk management and claims prevention. 

Data, AI and ML present exciting opportunities for the future, enabling a blend of rich expertise and new technology that will change marine insurance for the better.

 

Click here to learn more about risk modelling for marine insurance.

 


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