Leveraging Artificial Intelligence in Business Management: Optimising Decision-Making and Operational Efficiency through Advanced Computer Science Technique

Abstract

The rapid advancement of Artificial Intelligence (AI) has transformed the way organizations operate, offering significant potential to enhance business management, optimize decision-making, and improve operational efficiency. This research explores the application of AI in business management by examining how advanced computer science techniques, including machine learning, predictive analytics, and automation, contribute to organizational performance. A mixed-methods approach was employed, combining quantitative surveys of 150–200 business professionals with qualitative interviews of 20–25 managers and AI specialists. The study investigates both the measurable impacts of AI on decision-making and operational processes, as well as the practical experiences, challenges, and best practices associated with implementation. The results indicate that AI enables faster, more accurate, and evidence-based decisions while streamlining routine tasks, improving resource allocation, and reducing operational costs. Key challenges identified include data quality issues, system integration complexities, workforce readiness, and ethical considerations related to transparency and bias. The discussion highlights that successful AI adoption requires a holistic approach encompassing technological investment, strategic planning, employee development, and ethical governance. The study concludes that AI is not merely a tool but a strategic enabler that provides organizations with a sustainable competitive advantage, enhances overall efficiency, and positions businesses for long-term growth and resilience in increasingly dynamic and competitive markets.