AI-Driven Predictive Analytics: Transforming Decision-Making in Business
DOI:
https://doi.org/10.62802/8ny1ww06Keywords:
Predictive Analytics, Artificial Intelligence, Decision-Making, Machine Learning, Data Mining, Business Optimization, Algorithmic Bias, Ethical AIAbstract
AI-driven predictive analytics has revolutionized decision-making processes in business, providing organizations with actionable insights derived from vast datasets. By leveraging advanced machine learning algorithms and data mining techniques, predictive analytics enables businesses to anticipate trends, identify risks, and optimize strategies with unprecedented accuracy. This research explores the transformative impact of AI-driven predictive analytics across industries, focusing on its applications in customer behavior analysis, supply chain optimization, and financial forecasting. Additionally, it examines the ethical and practical challenges, including data privacy concerns, algorithmic bias, and the need for skilled personnel. By analyzing real-world case studies, the study demonstrates how predictive analytics fosters innovation and competitiveness while highlighting strategies for overcoming implementation barriers. The findings underscore the potential of AI-driven predictive analytics to reshape business landscapes, offering organizations a significant edge in a data-driven world.
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