The Integration of Artificial Intelligence (AI) In Business Operations

dc.contributor.advisorSoh, Ben
dc.contributor.authorAlqahtani, Raed Ayidh
dc.date.accessioned2025-05-15T08:59:28Z
dc.date.issued2022
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Master of Cybersecurity (Computer Science) at La Trobe University, Melbourne, Australia.
dc.description.abstractThis research investigates the integration of Artificial Intelligence (AI) in business operations. AI has become increasingly prevalent in various industries due to its potential to enhance efficiency, improve decision-making, and drive innovation. However, there is a lack of comprehensive understanding of how AI integration has been implemented in the business context. Therefore, this study utilizes a systematic review approach, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, to examine and synthesize existing literature on AI integration in business operations. The primary outcomes of this research will provide insights into the current state of AI integration in businesses, identify common challenges and benefits, and highlight potential areas for future research. This research contributes to the understanding of the impact of AI on business operations, paving the way for the effective and successful implementation of AI in organizations.
dc.format.extent152
dc.identifier.urihttps://hdl.handle.net/20.500.14154/75381
dc.language.isoen
dc.publisherLa Trobe University
dc.subjectArtificial Intelligence
dc.subjectAI
dc.subjectIntegration
dc.subjectBusiness Operations
dc.subjectCybersecurity
dc.titleThe Integration of Artificial Intelligence (AI) In Business Operations
dc.typeThesis
sdl.degree.departmentComputer Science and Information Technology
sdl.degree.disciplineArtificial Intelligence
sdl.degree.grantorLa Trobe University
sdl.degree.name(Master of Cybersecurity (Computer Science
sdl.thesis.sourceSACM - Australia

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