The convergence of AI and SAP: A technical deep dive into enterprise innovation

The integration of Artificial Intelligence with SAP systems represents a transformative evolution in enterprise technology, fundamentally reshaping resource management, data analysis, and strategic decision-making processes. This technological convergence enables organizations to enhance operational capabilities through intelligent automation, advanced analytics, and predictive maintenance while fostering innovative approaches to customer relationship management and service delivery. The implementation of machine learning algorithms, neural network processing, and distributed computing frameworks within SAP environments facilitates sophisticated data processing capabilities, leading to improved forecasting accuracy and operational efficiency. The architectural framework encompasses multiple integration layers, from foundational data processing to advanced AI-driven analytics, with careful consideration given to security, compliance, and future technological advancements including quantum computing and edge processing capabilities.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-04-26
DOI
https://doi.org/10.30574/wjaets.2025.15.1.0421
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

The convergence of AI and SAP: A technical deep dive into enterprise innovation

Kiran Kumar Lekkala
World Journal of Advanced Engineering Technology and Sciences
Big Data and Business Intelligence
article

The convergence of AI and SAP: A technical deep dive into enterprise innovation

Kiran Kumar Lekkala
article en

Abstract

The integration of Artificial Intelligence with SAP systems represents a transformative evolution in enterprise technology, fundamentally reshaping resource management, data analysis, and strategic decision-making processes. This technological convergence enables organizations to enhance operational capabilities through intelligent automation, advanced analytics, and predictive maintenance while fostering innovative approaches to customer relationship management and service delivery. The implementation of machine learning algorithms, neural network processing, and distributed computing frameworks within SAP environments facilitates sophisticated data processing capabilities, leading to improved forecasting accuracy and operational efficiency. The architectural framework encompasses multiple integration layers, from foundational data processing to advanced AI-driven analytics, with careful consideration given to security, compliance, and future technological advancements including quantum computing and edge processing capabilities.

World Journal of Advanced Engineering Technology and SciencesVol. 15(1)
Openalex Percentile: Top 86%
Big Data and Business Intelligence
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The convergence of AI and SAP: A technical deep dive into enterprise innovation — Kiran Kumar Lekkala · World Journal of Advanced Engineering Technology and Sciences (2025) | TGRS Research Map | TGRS