The Role of AI and Machine Learning in Cloud Computing: Transforming Business Intelligence

The convergence of Artificial Intelligence, Machine Learning, and cloud computing represents a transformative technological paradigm that is fundamentally reshaping digital ecosystems across industries. This comprehensive article illuminates the intricate interplay between these technologies, demonstrating their collective potential to revolutionize computational intelligence, data processing, and strategic decision-making. By examining the architectural foundations, predictive analytics capabilities, and emerging technological trends, the research reveals how organizations can leverage these advanced technologies to drive innovation, optimize operational processes, and navigate increasingly complex technological landscapes. The article critically addresses the multifaceted challenges of implementation, including ethical considerations, data privacy, and the need for sophisticated computational frameworks.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-29
DOI
https://doi.org/10.71097/ijsat.v16.i1.3003
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of AI and Machine Learning in Cloud Computing: Transforming Business Intelligence

Mallikarjun reddy RAMASANI -
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International Journal on Science and Technology
Big Data and Business Intelligence
article

The Role of AI and Machine Learning in Cloud Computing: Transforming Business Intelligence

Mallikarjun reddy RAMASANI -
article en

Abstract

The convergence of Artificial Intelligence, Machine Learning, and cloud computing represents a transformative technological paradigm that is fundamentally reshaping digital ecosystems across industries. This comprehensive article illuminates the intricate interplay between these technologies, demonstrating their collective potential to revolutionize computational intelligence, data processing, and strategic decision-making. By examining the architectural foundations, predictive analytics capabilities, and emerging technological trends, the research reveals how organizations can leverage these advanced technologies to drive innovation, optimize operational processes, and navigate increasingly complex technological landscapes. The article critically addresses the multifaceted challenges of implementation, including ethical considerations, data privacy, and the need for sophisticated computational frameworks.

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 91%
Big Data and Business Intelligence
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