Authors: Liyana Abdullah
Abstract: Artificial intelligence (AI) has become a transformative force in modern enterprises by enabling data-driven decision-making through advanced analytics and predictive modeling. AI-driven insights allow organizations to process vast volumes of structured and unstructured data, uncover hidden patterns, and generate actionable intelligence for strategic and operational decisions. This study explores the role of AI in enhancing enterprise decision-making processes, focusing on techniques such as machine learning, deep learning, natural language processing, and data mining. It examines how AI systems integrate with enterprise platforms such as cloud computing, business intelligence tools, and data warehouses to support real-time and informed decision-making. The paper also highlights applications across domains including finance, healthcare, supply chain management, marketing, and human resource management. Furthermore, it discusses key challenges such as data quality issues, algorithmic bias, lack of transparency, security concerns, and integration complexities. Emerging solutions such as explainable AI, federated learning, and AI governance frameworks are also analyzed. The findings emphasize that AI-driven insights significantly enhance decision accuracy, operational efficiency, and strategic planning, making AI a critical component of modern enterprise decision-making systems.
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