ISSN 1789-8919
e-ISSN 2786-1562
Over the course of several decades, the incorporation of artificial intelligence (AI) into organizational management has been a transformative voyage, characterized by significant milestones and innovations. The field of artificial intelligence went under a rapid evolution in the 1980s with the introduction of machine learning algorithms and neural networks, which allowed systems to learn from data.
This development was preceded by early AI research that concentrated on symbolic reasoning and problem-solving. In the 1990s, AI applications acquired prominence in business sectors as a result of data mining techniques and expert systems.
The 2000s were characterized by the rapid advancement of AI technologies, such as computer vision and speech recognition, which expanded their commercial applications. In recent years, organizations have been able to resolve complex challenges and spur innovation by further accelerating the adoption of deep learning and reinforcement learning.
This paper investigates the fundamental transformation of management practices by AI advancements, which have improved operational efficiency, facilitated innovation, and improved decision-making. AI has revolutionized conventional management methodologies by automating routine duties and offering predictive insights.
Organizations are now capable of anticipating market trends, optimizing resource allocation, and mitigating risks through the incorporation of predictive analytics and decision support systems. AI-driven tools have fostered an innovative culture by improving consumer interactions, workforce planning, and collaboration.
The function of AI in organizational management is anticipated to expand further as it continues to evolve, thereby fostering new paradigms in strategic planning and organizational efficiency.
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