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A. Justin Diraviam is an Assistant Professor in the Department of English at Hindusthan College of Engineering and Technology, India. His contribution focuses on AI-based intelligent decision support systems and emerging smart computing applications.
The swift advancement of intelligent computing ecosystems has revolutionised how organisations, municipalities, sectors, educational establishments, healthcare frameworks, and businesses gather, analyse, and employ data. The growing accessibility of Internet of Things (IoT) devices, cloud services, edge computing frameworks, big data solutions, and integrated communication systems has produced vast amounts of diverse data. Nonetheless, transforming this information into prompt and significant decisions continues to pose a substantial difficulty. Artificial Intelligence (AI) offers robust computational methodologies to tackle this issue by allowing intelligent systems to assimilate data, discern patterns, forecast forthcoming occurrences, and suggest suitable measures.This chapter delineates the essential principles of AI-based intelligent decision support systems and explores their structure, technology, applications, advantages, problems, and prospective developments. Special emphasis is placed on the amalgamation of AI with IoT, cloud computing, edge computing, big data analytics, and cybersecurity. The section additionally addresses explainability, data integrity, privacy, security, interoperability, and ethical factors that affect the dependability of intelligent choices. An integrated framework for the creation of AI-driven decision support systems in intelligent computing settings is ultimately introduced.