ARTIFICIAL INTELLIGENCE IN STRATEGIC DECISION-MAKING COMPARED TO TRADITIONAL PLANNING PROCESSES
Abstract
This research examines the transformative impact of artificial intelligence (AI) on strategic decision-making processes compared to traditional planning methodologies. Through analysis of recent empirical data, case studies, and performance metrics, this study reveals that AI-enhanced decision-making offers significant improvements in speed, accuracy, and scalability over conventional approaches. The research demonstrates that organizations adopting AI in strategic planning achieve up to 50% improvement in forecast accuracy and 95% enhancement in decision precision. However, traditional methods still maintain relevance in contexts requiring human intuition and ethical considerations.
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