The Artificial Intelligence and Inventory Effect on Banking Industrial Performance

Setiawan, Roy and Cavaliere, Luigi Pio Leanardo and Koti, Kartikey and Ogunmola, Gabriel Ayodeji and Jalil, Nasir Abdul and Chakravarthi, M. Kalyan and Rajest, S. Suman and Regin, R. and Singh, Sonia (2021) The Artificial Intelligence and Inventory Effect on Banking Industrial Performance. [UNSPECIFIED]

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Abstract

A vital element in development by the main technological problems is structural change and an improved substantiality of good leadership. Many of what we do at the beginning of infrastructure, technology and data is almost unknown, and a great deal of it is related to transition and the acceptance of the company. While the study results are continually reinforced, it remains a crucial challenge for others to consider that necessary enhancement in analysis guidelines, policies and skills will result in a generational change in the process. A substantial range of reports has interpreted the influential effect of large data on their activities for companies in the United States. The primary goal is to ensure that the banks productivity fluctuates when the Banks artificial intelligence programs cannot integrate effectively and reliably, with a longer-term effect on bank profitability. The survey conducted quantitative and qualitative methodologies by conducting comprehensive interviews and surveys with a determined number of data collection respondents. It then examined the data collected with the use of the SPSS methodological tool to verify the hypotheses. The results show that artificial intelligence programs in the banks had a greater financial performance. Therefore, the researchers should be able to choose many variables to create a modern questionnaire to assess the significance and effect of artificial intelligence on the success of the Bank and the management of big data

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