The Integration of Artificial Intelligence (AI) In Business Operations

No Thumbnail Available

Date

2022

Journal Title

Journal ISSN

Volume Title

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

Citation

Collections

Endorsement

Review

Supplemented By

Referenced By

Copyright owned by the Saudi Digital Library (SDL) © 2025