Artificial Intelligence in Business Analytics: Cloud-Based Strategies for Data Processing and Integration

Vedaprada Raghunath, Mohan Kunkulagunta, Geeta Sandeep Nadella

Abstract


Artificial Intelligence (AI) has emerged as a key enabler in transforming business analytics, particularly through cloud-based strategies for data processing and integration. By leveraging the power of cloud computing, organizations can process vast amounts of data in real-time, applying machine learning algorithms to gain actionable insights and enhance decision-making processes. This paper explores the role of AI in modernizing business analytics, focusing on how cloud-based systems optimize data integration, improve scalability, and streamline operations. We analyze the applications of AI in various business domains such as supply chain management, customer analytics, and financial forecasting, demonstrating the potential for AI to drive innovation and competitive advantage. Furthermore, we discuss challenges, such as data security and model interpretability, and provide a roadmap for overcoming these obstacles to fully leverage the capabilities of AI and cloud technologies in business analytics

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