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Artificial Intelligence (AI) and Machine Learning (ML) transforming the Insurance industry by improving efficiency, reducing costs, and providing a better customer experience. As these technologies continue to evolve, more innovation can be expected in the Insurance industry. A Bibliographic analysis is conducted for scientific mapping based on 1,084 SCOPUS-indexed publications between the year 2000-2022 using VOSviewer Application. The Analysis was conducted based on Publications by year, Source, Author, Affiliation, Country, Type, Subject Area and Funding Sponsors. The research found the result, the year 2022 had the highest publication of 203, through documents per year by the source of Lecture Notes In Computer Science Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics at 43 publications, Bauder, R.A. author is the maximum contributor, Harvard Medical School has been the major affiliate, United States of America, has the maximum 341 publications, Conference paper has the majority participation at 412 documents at 38 percent and Keywords "Artificial intelligence", Machine Learning" and "Insurance" has the highest occurrence. The maximum number of publications inthe field of computer science at 28 percent. Overall, this bibliographic analysis provides a comprehensive overview of the current state of research in AI and Machine Learning in the Insurance industry and highlights the potential for further innovation and development in this field. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) and Machine Learning (ML) is a branches of computer science applications that develop system-related tasks performed by programs and mathematical algorithms providing computers able to learn with or without human intervention. The perspective of AI and ML includes looking at exceptionally expansive space if conceivable speculations to decide one that best fits with the watched information and any earlier information held by the learner for this purpose so many algorithms are used in different types. Artificial intelligence is something that will produce our lives easier by performing different high-level computations and understanding complex issues. This can be a straightforward definition of what precisely artificial intelligence has done. The paper presents the supporting ability of artificial intelligence and machine learning in different applications, such as education, smartphones, medical care, and space technologies. However, this review studies the present status of machine learning, deep learning, and artificial intelligence technologies applied to the above technologies. [ABSTRACT FROM AUTHOR]