Challenges In Applying Artificial Intelligence In Banking Sector: A Scientometric Review

Esha Jain
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Abstract

Artificial Intelligence is getting expanding consideration in the corporates and humanity. In banking, the principal practices of AI were operative; nonetheless, AI is essentially applied in speculation backend and banking administrations without client interaction. Presenting AI in business banking might modify commercial cycles and collaborations with clients, which might set out research and open doors for conducting finance. The current study focuses on challenges in applying artificial intelligence in the banking sector by following a scientometric assessment and showed that innovations drastically change the idea of work. It was also found that web application weaknesses are security openings, which aggressors might endeavor to take advantage of, henceforth possibly making genuine harm to business, like taking touchy information and compromising business assets. It was concluded from the study that since web applications are currently broadly utilized, basic business conditions, for example, web banking, correspondence of touchy information, and internet shopping require powerful defensive measures against a wide scope of weaknesses.
人工智能在银行业应用的挑战:科学计量学综述
人工智能在企业和人类中得到越来越多的关注。在银行业,人工智能的主要实践是可操作的;然而,人工智能基本上应用于投机后端和银行管理,没有客户交互。在商业银行中展示人工智能可能会改变商业周期和与客户的合作,这可能会启动研究并为开展金融业务打开大门。目前的研究主要关注人工智能在银行业应用中的挑战,并通过科学计量评估表明,创新极大地改变了工作的观念。我们还发现,web应用程序的弱点是安全漏洞,攻击者可能会试图利用这些漏洞,从而可能对业务造成真正的伤害,比如获取敏感信息和损害业务资产。研究得出的结论是,由于web应用程序目前被广泛使用,基本的商业条件,如网上银行、敏感信息的通信和网上购物,需要强大的防御措施来应对广泛的弱点。
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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