International Journal of Science, Engineering and TechnologyAuthors: Dr. Namita Yash, Dr. Meghna Sharma
Abstract: In the age of digital transformation, Artificial Intelligence (AI)-powered predictive analytics has emerged as a critical tool for enhancing strategic business decision-making. This paper examines how organizations utilize predictive analytics to improve forecasting accuracy, optimize resource allocation, and gain a competitive edge. By examining case studies across various industries, including finance, retail, and manufacturing, the research highlights the tangible benefits and challenges of implementing AI-driven analytics in real- world strategic contexts. The study also examines how the integration of machine learning models into decision-making frameworks alters traditional management approaches, enabling more proactive and data-driven strategies. The study explores ethical considerations and data governance issues related to predictive analytics, emphasizing the importance of responsible AI adoption. Organizations realize the full potential of enhanced strategic agility and performance only when they align these efforts with their capabilities, culture, and a clear governance structure
DOI: http://doi.org/10.5281/zenodo.17616337
