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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM51046

How AI Will Reshape SAP Basis: From Monitoring to Predictive Operations

Stream/Area:

-

Subject:

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Paper ID:

IJSREM51046

Volume:

9 |

6 |

Jun 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM51046

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.

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Puneet Khatri

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Abstract

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.

KEYWORDS

SAP Basis Artificial Intelligence Predictive Operations AIOps IT Automation

Cite This Article

Puneet Khatri, "How AI Will Reshape SAP Basis: From Monitoring to Predictive Operations," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 6, Jun 2025. https://doi.org/10.55041/IJSREM51046

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Publication Date

6/26/2025

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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