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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM56261
Volume:
10 |
1 |
Jan 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Artificial Intelligence (AI) and cloud computing together are transforming economic analysis by enabling large-scale, real-time, and adaptive prediction models. Traditional economic forecasting methods often fail to capture complex, nonlinear relationships and rapidly changing market conditions. This research proposes an AI- powered predictive economics framework deployed on cloud infrastructure to analyse massive economic datasets and generate accurate forecasts for policy and business decision-making. The study highlights model design, cloud integration, ethical considerations, and future potential. The proposed framework demonstrates how scalable cloud platforms combined with machine learning techniques can improve forecasting accuracy, responsiveness, and inclusivity while emphasizing responsible and transparent AI usage.
KEYWORDS
Publication Date
1/30/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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