A Systematic Literature Review and Meta-Analysis of AIML Experience in Banks

Sashi Upadhaya, Jibit Khanal
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Abstract

The prime concern of this research article is to engender the existing knowledge, trends and gaps in AIML in bank domains. Additionally, the article focuses on the applications of PSALSAR framework for conducting systematic literature review and meta- analysis of artificial intelligence (machine- learning) adoption in banks. Under the PSALSAR (Protocol, Screening, Appraisal, Synthesizing, Analysis and Reporting) framework PICOC (Population, Intervention, Comparison, Outcome and Context) method is also used to define the research scope. Although meta- analysis is useful for both the qualitative and quantitative content analysis, only the qualitative aspects are considered in this research article.
银行AIML经验的系统文献综述与元分析
本文主要关注的是银行领域AIML的现有知识、趋势和差距。此外,本文重点介绍了在银行采用人工智能(机器学习)进行系统文献综述和元分析的应用。在方案、筛选、评估、综合、分析和报告(PSALSAR)框架下,PICOC(人口、干预、比较、结果和背景)方法也被用于确定研究范围。虽然元分析对定性和定量内容分析都很有用,但本文只考虑定性方面的内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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