Vol. 1 No. 1 (2021): Advances in Deep Learning Techniques
Articles

Artificial Intelligence Applications in Predictive Underwriting for Commercial Lines Insurance

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  • Pankaj Zanke,
  • Dipti Sontakke
Pankaj Zanke
Project Manager, Progressive Insurance, Cleveland, Ohio, USA
Dipti Sontakke
Consultant, Capgemini Inc, Atlanta, GA, USA
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Published 25-05-2021

Keywords

  • Artificial Intelligence,
  • Predictive Underwriting,
  • Commercial Lines Insurance,
  • Neural Networks,
  • Decision Trees,
  • Risk Selection,
  • Pricing Strategies,
  • Data Analysis,
  • InsurTech,
  • Industry Transformation
    • ...More
    Less

How to Cite

[1]
P. Zanke and D. Sontakke, “Artificial Intelligence Applications in Predictive Underwriting for Commercial Lines Insurance”, Adv. in Deep Learning Techniques, vol. 1, no. 1, pp. 23–38, May 2021.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Abstract

Artificial intelligence (AI) has emerged as a transformative force in the insurance industry, revolutionizing traditional underwriting processes. This paper investigates the application of AI techniques, including neural networks and decision trees, in predictive underwriting for commercial lines insurance. By leveraging vast amounts of data, AI models enhance risk selection and pricing strategies, leading to more accurate assessments of potential liabilities and improved profitability for insurers. This research explores the theoretical foundations of AI in underwriting, examines real-world case studies, and evaluates the benefits and challenges associated with its implementation. Through a comprehensive analysis, this paper aims to provide insights into the opportunities presented by AI in commercial lines insurance underwriting and its implications for the industry's future.

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References

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