International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 1 January-March 2025 Submit your research before last 3 days of March to publish your research paper in the issue of January-March.

RISE with SAP: Modernize Your Legacy ERP with an AI-Enabled Cloud ERP to Thrive in the Cloud

Author(s) Sreenu Maddipudi
Country United States
Abstract This article explores SAP’s transformative approach to business transformation through its RISE with SAP offering, which facilitates the modernization of legacy ERP systems into AI-enabled cloud solutions. By combining SAP’s powerful cloud technologies with Artificial Intelligence (AI), RISE with SAP empowers organizations to move from traditional, on-premise ERP systems to more agile, scalable, and intelligent cloud-based ERP solutions. This paper outlines the key benefits of adopting RISE with SAP, examining the technical architecture, AI integration, and cloud migration strategies involved in the modernization process. Through this offering, businesses can not only optimize their existing ERP environments but also leverage the full potential of AI-driven decision-making, real-time analytics, and operational automation to accelerate innovation and enhance competitiveness. The article also delves into best practices, deployment methodologies, and measurable outcomes that organizations can achieve by transitioning to a cloud-first ERP system powered by AI.
Keywords RISE with SAP, Cloud ERP, Legacy ERP Modernization, AI-Enabled ERP, SAP S/4HANA, Cloud Transformation, Business Innovation
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-01-07
Cite This RISE with SAP: Modernize Your Legacy ERP with an AI-Enabled Cloud ERP to Thrive in the Cloud - Sreenu Maddipudi - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.5281/zenodo.14613947
DOI https://doi.org/10.5281/zenodo.14613947
Short DOI https://doi.org/g8x2xr

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