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September 10, 2025

Artificial Intelligence and Data Science in Insurance: A Deep Learning Approach to Underwriting and Claims Management

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Authors

TFTemitope Oluwatosin Fatunmbi

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Overview

Research highlights deep learning's role in underwriting and claims management, suggesting efficiency gains.

Key Points

  • AI models enhance underwriting accuracy and efficiency by analyzing vast data sets, leading to better risk assessment.
  • Deep learning algorithms streamline claims management, resulting in faster processing and improved fraud detection.
  • The paper examines methodologies like neural networks and emphasizes predictive analytics for forecasting claims.
  • Challenges such as data privacy and algorithmic transparency need to be addressed for successful AI adoption in insurance.

Cite This Study

Temitope Oluwatosin Fatunmbi (2024) studied this question.

synapsesocial.com/papers/68c199f49b7b07f3a061bf6ehttps://doi.org/10.64206/vd5xyj36
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