The Integration of Artificial Intelligence (AI) In Business Operations
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Date
2022
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Publisher
La Trobe University
Abstract
This 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.
Description
This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Cybersecurity (Computer Science) at La Trobe University, Melbourne, Australia.
Keywords
Artificial Intelligence, AI, Integration, Business Operations, Cybersecurity