ARTIFICIAL INTELLIGENCE IN ORGANIZATIONAL DECISION-MAKING: TRANSFORMING MANAGEMENT PRACTICES

Abstract

AI can thus be explained as the primary process that is steadily creating new roles and determining organizational actions. AI can be defined as the process of building intelligent procedures that are expected to execute tasks in comparable fashion as human beings do it for instance thinking learning as well as perceiving. From its inception as a simple set of rules that operate while following the set instructions the CRISPR system has developed to become sophisticated machines that inculcate machine learning and deep learning. These systems can process a great deal of data at the same time, complex relationships can be identified, and choices can be made automatically. AI is one of the essential gadgets in today’s world that is so keen on data and analysis and decision making as AI is equal to data analysis and combining the results much more efficiently than the human mind. AI has eschewed comparatively new significance in terms of management in the last decade, which revolutionized multiple managerial activities( Campos Zabala, 2023). The using is no longer simply in improving work flow, but it extends to the higher level of business strategic planning and execution and organisational performance improvement. It becomes a tool that could transmute and analyze almost and large and tolerant datasets within a work week, and human intelligence could probably accomplish it in a week, a month or even a year. This in turn facilitates the production of efficient decisions by the managers within the shortest time possible and in the process boosting the productivity level within the organization(Enforcement P. 05).