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Detecting Insurance Fraud with Machine Learning (www.plugandplaytechcenter.com)

Artificial intelligence and machine learning can help insurers minimise their losses on insurance frauds.

“The popular form of machine learning applied to the insurance industry is called deep anomaly detection. Anomaly detection works by analysing normal, genuine claims made by the customer and forming a model of what a typical claim looks like. This model is then applied to large data sets.”

“The use of advanced technology will increase the credibility of the insurer and, as a result, they would be able to establish better loyalty relationships with their clients.”

What do you think?

Posted by Christophe Langlois

Based in London for almost a decade, Christophe is an entertaining fintech marketing keynote speaker and a trusted advisor to the global financial services industry on the topics of digital marketing, innovation and B2B social media.

Christophe has contributed to over 140 events in 18 countries.

Currently, Christophe is advising a number of fintech startups on marketing and growth hacking and he is the Chief Marketing Officer of The Fintech Power 50, an exclusive annual programme helping fintech scale-ups to accelerate their growth globally.

Christophe's views on VisibleBanking.com are his own.

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