Volume 3, Issue 1, January 2023
Research PaperOpenAccess
An Experimental Case Study on How AI May Improve Communication and Resource Allocation
Nwosu Obinnaya Chikezie Victor^1,2*
¹Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa. E-mail: nch015@uit.no ²Department of Research, Education and Communication, UiT the Arctic University of Norway, Tromsø, Norway. *Corresponding Author
Int.Artif.Intell.&Mach.Learn. 3(1) (2023) 10-18, DOI: https://doi.org/10.51483/IJAIML.3.1.2023.10-18
Received: 13/10/2022\|Accepted: 16/12/2022\|Published: 05/01/2023

Abstract

This paper explores how Artificial Intelligence (AI) can help to reduce the communication gap and streamline the distribution of resources. It uses an exploratory case study to examine the current state of the communication gap and the potential opportunities AI can bring to close it. The paper will discuss the current state of the communication gap, the current methods of resource distribution, and the potential opportunities AI can bring to reduce the communication gap. It will also explore the potential implications of AI on resource distribution and the communication gap. The paper will review the existing literature on the communication gap, resource distribution, and AI. It will then focus on the opportunities AI can bring to the communication gap. It will analyze the use of machine learning, natural language processing, and other AI-based technologies to reduce the communication gap. It will also examine the potential implications of AI on resource distribution, such as developing more efficient distribution channels, increasing transparency, and reducing costs. Finally, the paper will analyze the impact of AI on the communication gap and resource distribution. It will discuss the potential challenges and benefits of using AI, such as the need for data security, the potential for bias, and the limitations of AI technology. The paper will also explore the potential for AI to improve the distribution of resources and reduce the communication gap. Over- all, this paper provides an exploratory case study on the opportunities of how AI can contribute to reducing the communication gap and streamlining the distribution of resources. It discusses the potential implications of AI on the communication gap and resource distribution, and it reviews the potential challenges and benefits of using AI. The paper provides an in-depth analysis of the potential opportunities of using AI to reduce the communication gap and streamline the distribution of resources.

Keywords: Artificial Intelligence, Machine Learning, Natural Language Processing

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International Journal of Artificial Intelligence and Machine Learning

An Experimental Case Study on How AI May Improve Communication and Resource Allocation

Abstract