AI-Driven Business Analytics Framework for Data Integration Across Hybrid Cloud Systems

Vedaprada Raghunath, Mohan Kunkulagunta, Geeta Sandeep Nadella

Abstract


This paper presents an AI-driven business analytics framework designed for seamless data integration across hybrid cloud systems. In today’s data-driven business landscape, organizations rely on hybrid cloud architectures to manage and process vast amounts of data from multiple sources. However, integrating data across these diverse environments remains a significant challenge. The proposed framework leverages artificial intelligence (AI) and machine learning (ML) techniques to automate data integration, enhance decision-making, and deliver real-time insights across hybrid cloud infrastructures. By utilizing AI-powered algorithms, the framework improves data accuracy, reduces latency, and optimizes resource allocation, ultimately driving business intelligence and analytics efficiency. The results demonstrate how the integration of AI with hybrid cloud environments enables businesses to gain competitive advantages through better data accessibility, faster insights, and improved operational performance.

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