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Title: Applications of Artificial Intelligence in Various Traits of Life
Authors: Syed Shehzad Hassan
Journal: International Journal of Innovations in Science & Technology
Publisher: 50SEA JOURNALS (SMC-PRIVATE) LIMITED
Country: Pakistan
Year: 2023
Volume: 5
Issue: 2
Language: English
Knowledge Administration (KA) is the method by which an organization creates, shares, applies, and manages its information and knowledge. Although conventional KA has evolved throughout the years, documentation remains its bedrock principle. The considerable shift towards remote and hybrid working, however, has shown the limitations of conventional practices. Artificial intelligence (AI) will close these knowledge gaps and alter the ways in which KA is converted and knowledge is managed. This article reviews research on artificial intelligence (AI) and Knowledge Administration (KA), focusing on how AI can help to improve their KA strategies. In light of the existing literature critical review analyses the most up-to-date methods by analyzing both theoretical and applied works. In addition, the analytical framework presented below is useful for imagining new lines of inquiry and ways to enhance the quality of existing ones.
To review and analyze existing literature on Artificial Intelligence (AI) and Knowledge Administration (KA) to understand how AI can enhance KA strategies and identify potential areas for future research.
Critical review of existing literature, analyzing both theoretical and applied works on AI and KA. The research employed structured goals, utilized the Scopus database for information gathering, and applied analytical methods.
graph TD
A[Literature Review] --> B[Analysis of AI and KA Literature];
B --> C[Identify AI's role in enhancing KA];
C --> D[Synthesize Findings];
D --> E[Formulate Conclusions and Future Research Directions];
The paper discusses the evolution of KA, highlighting its limitations in the context of remote and hybrid work. It emphasizes AI's role in overcoming these limitations by improving data management and knowledge sharing. The authors explore various AI techniques and their applications in different sectors, underscoring the need for a deeper understanding of the AI-KA relationship to leverage its full potential.
AI has the potential to bridge knowledge gaps and transform KA practices, moving beyond traditional documentation-based approaches. AI can improve data collection, analysis, and dissemination within organizations. Industries such as business, construction, and healthcare can benefit significantly from AI integration in KA for enhanced efficiency, decision-making, and innovation.
AI is poised to become a crucial tool for enhancing Knowledge Administration across various industries. While challenges like initial investment and lack of awareness exist, the benefits of AI in improving efficiency, innovation, and decision-making are substantial. Future research is needed to further explore and optimize AI applications in KA, potentially integrating technologies like blockchain.
1. Publication Date: The article is published in the "International Journal of Innovations in Science & Technology" in June 2023. (Confirmed by journal name and date on pages)
2. AI Techniques Mentioned: The text mentions deep learning, neural networks, and supervised machine learning as AI techniques. (Confirmed in the "Introduction" section)
3. Industries Discussed: The paper discusses the applications of AI in Business, the Construction Industry, and the Health Sector. (Confirmed by section headings)
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