ARTIFICIAL INTELLIGENCE: A TOOL FOR ENHANCEMENT OF LENDING FACILITIES IN BANKING INSTITUTIONS

Authors

  • Dr. Riteshkumar Patel Assistant Professor, Faculty of Commerce, Parul University.
  • Uma mota M.com Student, Faculty of Commerce, Parul University

Keywords:

Deep learning, Technology, Recognition, credit operations, moving towards digitalization

Abstract

More customers. Improved analysis quicker judgments. Lower risk robotic process automation and artificial intelligence are shaping the future of credit and risk management. From siri to self-driving cars, AI is at a rapid pace. Each bank around the world has to dissect numerous credit operations from its guests and prospects, individual, professionals or companies, Banks develop their standing system grounded on different parameters but utmost of them do not take benefit of the tremendous set of big data available and gathered continuously. To prize precious information, Big data analysis(BDA) and artificial intelligence lead to intriguing operations for banking industry similar as segmentation, customized services, client relationship operation, fraud recovery, credit threat assessment and in all back, middle and front office operation.  This paper discusses the impact of the rapid-fire acceptance of artificial intelligence in the financial sector. Artificial intelligence is a method of making a computer or a software think intelligently like the human mind. It has a lot of influence on our lifestyle. AI provides high securities in related areas. It is an intelligent machines that work and react like humans. People are daily interact with AI  but probably they are not well aware like with the help of Smartphones, Chabot’s, self-driving cars, smart assistance, virtual travel booking agent, social media monitoring and many more.

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Published

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How to Cite

Dr. Riteshkumar Patel, & Uma mota. (2023). ARTIFICIAL INTELLIGENCE: A TOOL FOR ENHANCEMENT OF LENDING FACILITIES IN BANKING INSTITUTIONS . EPRA International Journal of Multidisciplinary Research (IJMR), 9(3), 214–217. Retrieved from http://eprajournals.net/index.php/IJMR/article/view/1698