AI-Powered Data Synchronization Across SAP and Non-SAP Platforms

Published Paper PDF: PDF

DOI: https://doi.org/10.63345/ijrmeet.org.v13.i12.5

Dr S P Singh

Ex-Dean, Gurukul Kangri Vishwavidyalaya

Haridwar, Uttarakhand 249404 India

Abstract— Data synchronization between SAP and non-SAP systems is vital for businesses seeking seamless data flow across heterogeneous platforms. This manuscript explores the role of Artificial Intelligence (AI) in optimizing data synchronization, particularly focusing on real-time data updates, data consistency, and data integrity across platforms. AI algorithms enhance traditional ETL (Extract, Transform, Load) processes by adapting dynamically to changes in data structure, volume, and velocity. The study demonstrates how AI-powered synchronization can lead to more resilient, flexible, and efficient data integration strategies, resulting in improved decision-making and operational efficiency across business units.

Keywords— Data Synchronization, Artificial Intelligence, SAP Integration, Non-SAP Systems, Data Consistency, Data Integration, Real-Time Data Processing

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