AI Driven Decision Support Systems For Strategic Business Management

Authors

  • Pathirage Vinura Selaka Pathiraja Research Scholar, Department of Management, Kennedy University Saint Lucia Author

Abstract

Artificial intelligence (AI) is revolutionizing strategic business management by significantly
enhancing decision-making processes through advanced data collection, forecasting, and trend analysis. This
transition from traditional methods to AI-driven approaches allows businesses to achieve greater efficiency,
accuracy, and innovation. AI’s predictive modeling capabilities enable organizations to simulate various
scenarios, refine strategies, and make more informed decisions. Integrating AI into business practices requires
a digital transformation, shifting from conventional models to virtual systems such as the cloud. This
transformation not only optimizes processes but also aligns with contemporary business needs, improving
overall performance. AI also plays a crucial role in enhancing customer relations by improving data collection
and analysis, promptly addressing customer inquiries, and generating valuable insights for future
improvements. Additionally, AI supports risk management and resolves nonconformities through advanced
learning techniques like deep learning and machine learning. Despite its many benefits, the adoption of AI must
be managed with attention to ethical considerations, data privacy, and workforce impacts. As AI technology
continues to evolve, its role in reshaping business practices and driving strategic decision-making will become
increasingly significant, offering a competitive edge across various industries.

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Published

2024-08-29

Issue

Section

Articles

How to Cite

AI Driven Decision Support Systems For Strategic Business Management. (2024). International Journal of Multidisciplinary Engineering In Current Research, 9(8), 1-6. https://ijmec.com/index.php/multidisciplinary/article/view/479