How Do Insurance Companies Use Fraud Detection? - Next LVL Programming

Описание: How Do Insurance Companies Use Fraud Detection? In this informative video, we’ll take a closer look at how insurance companies detect fraudulent claims using advanced technology and data analysis techniques. We'll discuss the importance of data collection and preparation, highlighting how insurers gather historical claims data and policyholder information. You’ll learn about feature engineering and how it plays a role in distinguishing between legitimate and suspicious claims.

We’ll also cover various machine learning algorithms that are commonly used in fraud detection, including supervised and unsupervised learning approaches. You’ll gain an understanding of how these models are trained and the significance of real-time monitoring systems powered by artificial intelligence. Additionally, we’ll touch on the challenges faced in programming for fraud detection, such as managing false positives and negatives, as well as the importance of continuously updating models.

This video aims to provide you with a comprehensive overview of the programming aspects involved in insurance fraud detection. Whether you’re a programmer, data scientist, or simply curious about the intersection of technology and insurance, this discussion will be enlightening. Don’t forget to subscribe to our channel for more engaging content on programming and coding topics.

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