Utilizing Artificial Intelligence as an Instrument for General Administration in a Multidisciplinary Organization
The document explores the transformative role of Artificial Intelligence (AI) in enhancing general administration within multidisciplinary organizations. It begins by defining AI and highlighting its growing significance in modern business administration. The paper details how AI streamlines administrative processes through the automation of routine tasks, and efficient data management, and supports decision-making through advanced data analysis and reporting capabilities. It examines specific AI applications in multidisciplinary companies, including human resource management, financial management, and project management. Additionally, the document discusses challenges such as data privacy, security concerns, integration with existing systems, and the need for staff training. It also looks ahead to future trends in AI for administration, emphasizing increased personalization, advancements in machine learning and natural language processing, and scalability. In conclusion, the paper underscores AI's transformative potential and advocates for its adoption in multidisciplinary contexts. Keywords: Artificial Intelligence, Multidisciplinary, Business Administration, Performance Tracking. Human Resource Management, Financial Management, Project Management, Scalability, Personalization and Advancement, Data Analysis, Predictive Insights. Employee Journal Reference Format: Ogunjimi, O.L.A. (2025): ): Utilizing Artificial Intelligence as an Instrument for General Administration in a Multidisciplinary Organization. Social Informatics, Business, Politics, Law, Environmental Sciences & Technology Journal. Vol. 11, No. 1. Pp 1-14. www.isteams/socialinformaticsjournal. dx.doi.org/10.22624/AIMS/SIJ/V11N2P1
Authors
- Olalekan L . A . Ogunjimi
Institutions
- Nasarawa State University (NG)
Publication Details
- Journal
- Advances in Multidisciplinary & Scientific Research Journal Publication
- Published
- 2025-06-30
- DOI
- https://doi.org/10.22624/aims/sij/v11n2p1
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00