Artificial Intelligence Based Strategic Leadership for Data Driven Insights in Management Decisions

In an era where artificial intelligence (AI) is evolving at an unprecedented rate, the role of strategic leadership has undergone a significant transformation. This paper explores the interplay between human intuition and data-driven insights in enhancing management decision-making. AI offers unparalleled capabilities in processing data, predictive analytics, and optimization. However, the human elements of creativity, empathy, and ethical judgment remain irreplaceable. By integrating AI technologies into leadership frameworks, organizations can achieve a symbiotic relationship that balances objective analytics with subjective reasoning. This study highlights key challenges leaders face in adopting AI, including ethical concerns, bias in algorithms, and over-reliance on automated systems. It also emphasizes strategies for fostering an AI-ready leadership culture, focusing on upskilling, ethical AI practices, and fostering collaboration between human teams and AI systems. Our proposed Neural networks achieved the highest accuracy (90%), followed by reinforcement learning (88%), random forest (85%), decision trees (75%), and fuzzy logic (70%). This paper presents actionable insights for leaders to understand the complex nature of AI and its integration. The findings of this study bring the importance of aligning AI tools with organizational values and human-centric approaches into the limelight, enabling leaders to harness AI's potential without compromising their core decision-making principles. This balance is crucial for sustainable growth and innovation in the digital age.