Abstract
This book delves into the physical and logical impacts, both direct and indirect, on the insurance industry. New tech, such as big data, artificial intelligence, and machine learning, in the growth of sustainable economics with foreign direct investments (FDIs), trustworthiness and ethics are discussed. Related use cases of data science for claim processing, fraud detection and prevention, policy administration, pricing and underwriting are discussed along with cyber security issues, data protection, and big data regulatory reforms. In order to promote ESG sustainability, the insurance industry plays a critical and significant role. Climate-related risks are being factored into underwriting and investing strategies. Through their own operations and business activities, insurers may promote the ESG agenda and move towards sustainability. Promoting diversity and inclusion, lowering greenhouse gas (GHG) emissions, resolving gender inequality, and helping communities through charitable work will all improve the company's brand, reputation, and true ESG credentials. The book is structured in such a way as to provide an overall understanding of the current practices, trends, and future technologies in the insurance market.
| Original language | English |
|---|---|
| Place of Publication | New York |
| Publisher | Wiley |
| Number of pages | 459 |
| ISBN (Electronic) | 9781394167944 |
| ISBN (Print) | 978-139416651-0, 9781394166510 |
| DOIs | |
| Publication status | Published - 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 5 Gender Equality
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 10 Reduced Inequalities
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SDG 13 Climate Action
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SDG 17 Partnerships for the Goals
OECD Field of Science
- 5.2 Economics and Business
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