How to use special machine learning techniques to detect insurance claims fraud

Machine learning used to prevent insurance claims fraud? Yes!
How can special machine learning techniques help to detect incoming fraudulent insurance claims? Learn how to pre-process data properly, tune hyperparameters and train your model to detect and prevent insurance fraud.

02:27 - Overview
04:19 - Data Privacy
04:52 - Data Analysis
10:22 - Data Preparation
16:39 - Training A Machine
21:27 - Data Protection

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About Allianz:

The Allianz Group is one of the world's leading insurers and asset managers with more than 88 million retail and corporate customers. Allianz customers benefit from a broad range of personal and corporate insurance services, ranging from property, life and health insurance to assistance services to credit insurance and global business insurance. Allianz is one of the world’s largest investors, managing over 650 billion euros on behalf of its insurance customers while our asset managers Allianz Global Investors and PIMCO manage an additional 1.4 trillion euros of third-party assets. Thanks to our systematic integration of ecological and social criteria in our business processes and investment decisions, we hold the leading position for insurers in the Dow Jones Sustainability Index. In 2017, over 140,000 employees in more than 70 countries achieved total revenue of 126 billion euros and an operating profit of 11 billion euros for the group.

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