A Technical Perspective of Artificial Intelligence for the Ensuring Knowledge Era

A Technical Perspective of Artificial Intelligence for the Ensuring Knowledge Era

B. Sundaravadivzhagan (University of Technology and Applied Sciences, Oman), P. Ashok (Symbiosis Institute of Digital and Telecom Management, India), U. Arunkumar (Karpagam Academy of Higher Education, India), and N. A. Natraj (Symbiosis Institute of Digital and Telecom Management, India)
Copyright: © 2025 |Pages: 28
DOI: 10.4018/979-8-3693-9356-7.ch001
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Abstract

This chapter examines artificial intelligence technologies and their role in the emerging Knowledge Era, focusing on the evolution from traditional computing to AI-driven systems. It analyzes fundamental AI components, including machine learning architectures, deep learning innovations, and natural language processing, alongside essential infrastructure requirements. The discussion covers AI integration frameworks for knowledge management, exploring automated discovery, information extraction, and semantic reasoning mechanisms. The chapter examines cognitive computing platforms, predictive analytics, and decision support systems that enable sophisticated knowledge processing. Emerging technologies such as explainable AI, federated learning, and autonomous systems are explored, along with their impact on knowledge management.The chapter concludes with future directions emphasizing bio-inspired systems and edge-cloud integration, providing insights for researchers and practitioners implementing AI in knowledge management.
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