Integrating Artificial Intelligence with Cloud Business Intelligence: Enhancing Predictive Analytics and Data Visualization

Authors: Swathi Suddala

DOI: https://doi.org/10.37082/IJIRMPS.v13.i3.232470

Short DOI: https://doi.org/g9h4h8

Country: United States

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Abstract: Integrating Artificial Intelligence (AI) with Cloud Business Intelligence (CBI) presents a transformative paradigm for advancing predictive analytics and data visualization in contemporary organizational contexts. This paper investigates the synergistic relationship between AI methodologies, including advanced machine learning algorithms and natural language processing, and cloud-based business intelligence systems, emphasizing their combined potential to enhance data-driven decision-making. Organizations can achieve improved forecasting accuracy and operational efficiency by systematically leveraging large-scale datasets. Additionally, AI-driven visualization frameworks facilitate the clear and intuitive representation of complex, multidimensional data, broadening the accessibility of analytical insights across diverse stakeholder groups. This study further examines the methodological approaches for embedding AI within CBI infrastructures, identifies the technical and organizational challenges that may arise, and reviews emerging trends poised to shape the evolution of this domain. The findings underscore the critical role of AI-enhanced CBI systems in transforming organizational analytics capabilities, equipping enterprises to respond proactively to dynamic market conditions and to pursue sustained strategic growth.

Keywords: Artificial Intelligence (AI), Cloud Business Intelligence (CBI), Predictive Analytics, Data Visualization, Machine Learning

Paper Id: 232470

Published On: 2025-05-11

Published In: Volume 13, Issue 3, May-June 2025

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