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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 2 (February 2026).... Submit articles

AI-powered SAP: Transforming enterprise intelligence for the future

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  • AI-powered SAP: Transforming enterprise intelligence for the future

Sravanthi Beereddy *

Jawaharlal Nehru Technological University, India.

Review Article

World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2247-2260

Article DOI: 10.30574/wjaets.2025.15.2.0612

DOI url: https://doi.org/10.30574/wjaets.2025.15.2.0612

Received on 28 March 2025; revised on 08 May 2025; accepted on 10 May 2025

This technical article examines the transformative role of Artificial Intelligence in the SAP ecosystem and its impact on enterprise intelligence. It explores how SAP has strategically integrated AI capabilities throughout its product portfolio through a comprehensive dual-pillar approach that combines embedded intelligence in native applications with extensible AI services via the Business Technology Platform (BTP). The article details how this strategy enables organizations to implement AI solutions that align with their specific technical capabilities and business objectives while maintaining enterprise-grade standards. The article provides a detailed analysis of cross-functional AI implementations across finance, supply chain, procurement, human resources, sales and marketing, and IT operations, highlighting how domain-specific AI applications address unique business challenges in each area. Technical implementation considerations, including data architecture, integration patterns, performance optimization, and governance frameworks are discussed as critical factors for successful deployment. The article concludes with an examination of emerging trends shaping SAP's AI roadmap, including Large Language Models, federated learning, AutoML capabilities, edge computing, and quantum-inspired algorithms.

Enterprise Intelligence; Business Technology Platform; Embedded Ai; Federated Learning; Cross-Functional Implementation

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2025-0612.pdf

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Sravanthi Beereddy. AI-powered SAP: Transforming enterprise intelligence for the future. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 2247-2260. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0612.

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