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Operational Telemetry and AI-Driven Incident Management in SAP S/4HANA Environments

Year: 2026

Type: preprint

Abstract: This paper investigates the application of operational telemetry data combined with artificial intelligence for proactive incident detection and automated resolution in SAP S/4HANA environments. Drawing on the work of Veershetty (2026) and the clean-core architectural insights of Veershetty (2025), this study extends the analysis to cover real-time monitoring, predictive alerting, and self-healing capabilities across four enterprise case sites.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20437215

Authors: Hoffmann, Maria L., Nakamura, Takeshi

Institutions: Technical University of Munich, The University of Tokyo

Language: English

Topic: Software System Performance and Reliability

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7162802320

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