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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM51046
Volume:
9 |
6 |
Jun 2025
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.
The evolution of SAP Basis administration is accelerating with the integration of Artificial Intelligence (AI) into core IT operations. This paper explores how AI is transforming SAP Basis from a reactive monitoring function into a predictive, proactive operations model. We discuss current challenges in traditional Basis operations and how AI technologies—including machine learning, AIOps, and intelligent automation—offer enhanced capabilities for anomaly detection, incident response, and system performance optimization. Based on simulated data, we present how AI-driven solutions improve response time by up to 60%, reduce downtime by 70%, and increase predictive accuracy to 85%. The paper concludes by outlining a roadmap for SAP teams to transition into AI-powered Basis operations, addressing both opportunities and implementation challenges.
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Publication Date
6/26/2025
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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