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dc.contributor.authorDambudzo, Varaidzo-
dc.date.accessioned2025-10-15T10:07:28Z-
dc.date.available2025-10-15T10:07:28Z-
dc.date.issued2025-
dc.identifier.citationDambudzo, V. (2025). Analysis of interoperability optimization and management of Zimbabwean banks using artificial intelligence (Bachelor’s dissertation, Africa University, Mutare).en_US
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/4576-
dc.description.abstractArtificial intelligence (AI) is a technology that enables machines, particularly computer systems to perform tasks that typically require human intelligence. It involves creating computer systems that can learn, reason, and make decisions, similar to how humans do. This study explores how Artificial Intelligence (AI) has been utilized to find the best effective ways to bring efficiency, good customer experience,work better together and manage operations of the banking sector in a smooth and seamless manner. It’s aim is to discover the different methods, strategies and technologies that have helped enhance cooperation and coordination between different banking departments and systems while improving the overall management and operation of the banking institutions to maximise their performance, productivity and competitiveness. The study fills a gap in knowledge about AI in the country's banking sector. The research will run a qualitative analysis to gather insights and determine if it is necessary to use Artificial Intelligence in banks. The participants of this research will include heads of the digital banking divisions of the banks to be researched on, as well as important people in the industry including bank employees and managers.en_US
dc.language.isoenen_US
dc.publisherAfrica Universityen_US
dc.subjectartificial intelligenceen_US
dc.subjectZimbabwean banksen_US
dc.subjectinteroperabilityen_US
dc.subjectbanking sectoren_US
dc.subjectrisk managementen_US
dc.subjectoperational efficiencyen_US
dc.titleAnalysis of Interoperability Optimization and Management of Zimbabwean Banks Using Artificial Intelligenceen_US
dc.typeOtheren_US
Appears in Collections:Department of Artificial Intelligence, Software Engineering and Computer Science



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