The integration of AI on workforce performance for a South African banking institution

Abstrac1- Artificial Intelligence advanced technologies are growing rapidly in the banking sector. This research paper assesses the factors that contribute to a worker 's Improved productivity and performance through tbe adoption and integration of artificial Intelligence to perform various activities in a South African banking Insututten. The different aspects of artificial intelligence toolset which include data, recognhlon, natural language processing, machine learning, robotics, planning, perceiving, problem-solving, and dectsfon making are evaluated on how they influence the workforce performance which is measured through competencies, capabilities, satisfaction, motivation and so forth. Also, these aspects are evaluated in terms of their contributions towards productivity when integrated with the ana lytica l and organized strategies that advance the workforce's performance. The ultimate purpose is to improve the workforce's performance in the South African banking tnsutunon and ensure successful adaptation tn artificial intelligence. Descriptive statistics have been adopted with the use of frequency distribution tables to analyze and present tbe information on the variables of interest. The outcomes evaluated with the descriptive and tnrerenetst stattsetcs based on the variables have shown that artificial intelligence bas a relatively strong impact on workforce performance. Therefore, it is essential and recommended for tbe banking institution to adopt and integrate artificial intelligence witb wcrkrcrces because the next frontier for shared services may be far more interesting, Incorporating greater computing power and artificial intelligence into robotics, 50 that the differences between buman perception and intelligent automation become indistinct.