INSURANCE BUSINESS: MODERN OPPORTUNITIES AND RISKS

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dc.contributor.authorPestovska Zoia
dc.date.accessioned2024-06-27T14:32:09Z
dc.date.available2024-06-27T14:32:09Z
dc.date.issued2021
dc.description.abstractThe aim of the work is to substantiate the impact of new technologies on the development of insurance, the need to change its business model, approaches to setting rates and attracting customers. The work is devoted to the comparison of pros and cons, the search and analysis of promising opportunities. Examples and opportunities for the use of artificial intelligence (AI) and machine learning (ML) in the insurance business are shown, and attention is paid to the disadvantages and risks of their use. Applications of AI in insurance: customer interaction, financial consulting and personalization, contract servicing and omnichannel, smart contracts, affective computing, loss adjustment, anti-fraud, medical insurance, vehicle and real estate insurance. Figuring out the advantages of AI: high decision making speed, no human error, no emotion, 24/7 availability, reduced risk of human injury, reduced cyber threats. Disadvantages: high time and money costs, lack of creativity, lack of understanding of emotions, job cuts, lack of human ethics, scalability of hacker attacks. AI-based systems can subsequently take over many of the decisions that humans made.
dc.identifier.urihttps://ir.duan.edu.ua/handle/123456789/4695
dc.language.isoen
dc.publisherCollective monograph
dc.subjectinsurance
dc.subjectartificial intelligence
dc.subjectmachine learning
dc.subjectbusiness model
dc.subjectinternet of things
dc.subjecthuman ethics
dc.titleINSURANCE BUSINESS: MODERN OPPORTUNITIES AND RISKS
dc.typeArticle

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