Cognitive Automation and Predictive Personalisation: Transforming Policyholder Interactions Through Intelligent Systems in Insurance

Authors

  • Hyo-Sung Kim Professor of Computer Science, Korea Advanced Institute of Science and Technology

Keywords:

cognitive automation, predictive personalisation, transforming policyholder interactions, intelligent systems, machine learning

Abstract

The global insurance industry is a highly competitive space. As such, many large insurers are choosing to adopt a more consumer-driven focus. This strategy focuses on incorporating various consumer preferences and needs. Among the trends in the industry, these preferences include simplicity, better accessibility, on-demand products, and superior services. Despite the move toward more consumer-focused strategies, few companies have successfully implemented technology to assist in such efforts.

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Published

31-12-2022

How to Cite

[1]
“Cognitive Automation and Predictive Personalisation: Transforming Policyholder Interactions Through Intelligent Systems in Insurance”, Adv. in Deep Learning Techniques, vol. 2, no. 2, pp. 66–75, Dec. 2022, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/adlt/article/view/758