AI, Technology, and Digital Transformation in Life and Annuity Insurance and Actuaries

The life and annuity (L&A) insurance industry and actuarial science are going through a transformational phase driven by artificial intelligence (AI), big data, and digital technologies. AI-powered predictive analytic tools, machine learning algorithms, and automation processes are redefining traditional processes like risk assessment, underwriting, claims processing, and interactions with policyholders. Actuaries are applying modern computational tools, including cloud computing and blockchain, to improve actuarial modeling, enhance risk forecasting capability, and ensure the transparent functioning of insurance. The incorporation of InsurTech-like solutions such as the Internet of Things (IoT), robotic process automation (RPA), and natural language processing (NLP) is creating efficient workflows while enabling insurers to provide more personalized and dynamic policy configurations. Beyond these processes, as AI will continue to change L&A insurance, all the players have to build new paradigms for competition while ensuring regulatory adherence and data security.In terms of benefits to life and annuity insurance—bolstering efficiencies, preventing fraud, cutting costs, and improving customer experiences—artificial intelligence has it all. Notably, its mass adoption meets with avowed impediments. Chief among them are issues of data privacy, ethical dilemmas, algorithmic biases, and accordant regulatory frameworks. Further, with inroads in AI insurance, will arise the questions of transparency, fairness, and accountability in actuarial-making. In this article, we evaluate how AI and digital transformation drive the L&A insurance and actuarial science fields, churning innovations relevant to trends, technology, regulation, and futures. With an emphasis on both the advantages and hurdles, this paper will be useful in providing insight to insurers, actuaries, and regulators as they maneuver through the fast-evolving digital insurance ecosystem.

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Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-03-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n67895
Primary Topic
Insurance and Financial Risk Management
Type
article
Field-Weighted Citation Impact
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article

AI, Technology, and Digital Transformation in Life and Annuity Insurance and Actuaries

Nihar Malali
European Journal of Computer Science and Information Technology
Insurance and Financial Risk Management
article

AI, Technology, and Digital Transformation in Life and Annuity Insurance and Actuaries

Nihar Malali
article en

Abstract

The life and annuity (L&A) insurance industry and actuarial science are going through a transformational phase driven by artificial intelligence (AI), big data, and digital technologies. AI-powered predictive analytic tools, machine learning algorithms, and automation processes are redefining traditional processes like risk assessment, underwriting, claims processing, and interactions with policyholders. Actuaries are applying modern computational tools, including cloud computing and blockchain, to improve actuarial modeling, enhance risk forecasting capability, and ensure the transparent functioning of insurance. The incorporation of InsurTech-like solutions such as the Internet of Things (IoT), robotic process automation (RPA), and natural language processing (NLP) is creating efficient workflows while enabling insurers to provide more personalized and dynamic policy configurations. Beyond these processes, as AI will continue to change L&A insurance, all the players have to build new paradigms for competition while ensuring regulatory adherence and data security.In terms of benefits to life and annuity insurance—bolstering efficiencies, preventing fraud, cutting costs, and improving customer experiences—artificial intelligence has it all. Notably, its mass adoption meets with avowed impediments. Chief among them are issues of data privacy, ethical dilemmas, algorithmic biases, and accordant regulatory frameworks. Further, with inroads in AI insurance, will arise the questions of transparency, fairness, and accountability in actuarial-making. In this article, we evaluate how AI and digital transformation drive the L&A insurance and actuarial science fields, churning innovations relevant to trends, technology, regulation, and futures. With an emphasis on both the advantages and hurdles, this paper will be useful in providing insight to insurers, actuaries, and regulators as they maneuver through the fast-evolving digital insurance ecosystem.

European Journal of Computer Science and Information TechnologyVol. 13(6)
EU Business School, Geneva (CH)
Openalex Percentile: Top 88%
Insurance and Financial Risk Management
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