Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Tyagi, Shruti; Saxena, Apurva; Sharma, Bhavna Title A name given to the resource The Future of Insurance: How AI is Shaping the Sector Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Artificial Intelligence in Management: Impact, Challenges and Developments;pp.30-40 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781003559849-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003559849-2</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037895046?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037895046?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Tyagi S., School of Commerce, Finance &amp; Accountancy, Christ University, India; Saxena A., School of Commerce, Finance &amp; Accountancy, Christ University, India; Sharma B., School of Commerce, Finance &amp; Accountancy, Christ University, India Description An account of the resource The combination of AI and insurance was once an idyllic idea, but it has now become an imperative, transforming how insurers analyze, manage, and mitigate risks. AI benefits the insurance sector in a variety of ways. It aids in accelerated underwriting, hazard assessment, more equitable pricing, and tailored policies. AI helps to speed up claim processing and detect fraudulent activity. Furthermore, AI enables the performance of operations by means of lowering administrative overhead via automation. The purpose of the study is to examine the current and potential AI applications in the insurance sector and also to analyse the impact of AI in the insurance sector. The study employed a descriptive research design and the data has been collected through secondary sources like journals, books, reports, websites, etc. The study found that AI has enabled insurers to streamline processes, enhance efficiency, and offer extra customized danger evaluation for its clients. This has led to a seamless and handy revel in for policyholders, in addition to extra correct underwriting and pricing for insurers. Additionally, AI has facilitated the automation of claims processing, taking into account quicker and extra correct claims settlements. However, the implementation of AI within the coverage enterprise also presents demanding issues that need to be solved. 2026 Alka Agnihotri, Anuja Pandey and Balamurugan Balusamy. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104058328-9; 978-103288371-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online