Artificial Intelligence (AI) has become a game-changer in modern business management by intensifying business decision-making by having a smarter way of analyzing data, making predictions, and recommending things automatically. combination of machine learning, big data analytics, natural language processing, and intelligent automation to facilitate the process of making accurate, timely, and strategic decisions by managers. The blistering development of digital transformation and dynamic business landscapes has caused organizations to have greater demands to implement superior technologies that can provide the processing large amounts of structured and unstructured information. In this paper, the author will discuss where AI-driven decision support systems come in the contemporary management of businesses and assess their role in making organizations more efficient, strategic, in managing risks, managing customer relations, and working more productively. The research design is descriptive and analytical and is carried out using secondary data gathered via the journals, books, reports and industry publications. The review shows that is advantageous in enhancing forecast accuracy, minimizing operational risks, maximizing resource allocation, and making data-driven strategic decisions. Nonetheless, there are issues concerning data privacy, ethical considerations, implementation cost, and complexity that impede adoption. The paper concludes that AI-based decision support systems represent the new necessity of contemporary organizations that need to achieve long-term, sustainable growth, innovation.
Keywords : Artificial Intelligence, Decision Support Systems, Business Management, Machine Learning, Predictive Analytics, Data-Driven Decision Making
Author : Dr Prasanna G Deshmukh
Title : “Artificial Intelligence–Driven Decision Support Systems in Contemporary Business Management”
Volume/Issue : 2024;01(01)
Page No : 242-250