UNLOCKING THE POTENTIAL OF NATURAL LANGUAGE PROCESSING IN MODERN AI SYSTEMS FIELDS

This review paper explores recent advancements in artificial intelligence (AI), natural language processing (NLP), cybersecurity, cloud computing, and their applications across various domains. The study synthesizes findings from multiple research works, highlighting the transformative impact of AI-driven technologies in academic libraries, healthcare, cybersecurity, media, and software engineering. Key topics include the role of AI as an intelligent assistant in libraries, deep learning approaches in intrusion detection systems, the evolution of large language models (LLMs), and the significance of data-centric AI. Additionally, the paper discusses NLP's growing influence in journalism, clinical text processing, systematic review automation, and software requirement engineering. The review further addresses cybersecurity challenges, including machine learning-based threat detection and SQL injection prevention. Moreover, it evaluates AI applications in networking, cloud computing, and vehicular communication systems. The study underscores the potential of AI and machine learning in revolutionizing digital transformation while acknowledging challenges such as ethical concerns, computational demands, and data security risks. By synthesizing insights from multiple disciplines, this paper provides a comprehensive perspective on emerging AI technologies and their implications for industry and research.