Cloud-Native Security and Governance Framework for SAP Enterprise Systems Enabled by Machine Learning
DOI:
https://doi.org/10.15662/IJRAI.2024.0705017Keywords:
Artificial Intelligence, SAP Cloud Architecture, SAP Business Technology Platform, Intelligent Enterprise, Enterprise Data Integration, Digital Transformation, Cloud Computing, Machine Learning, Predictive Analytics, Enterprise Resource Planning, Data Analytics, Business Intelligence, Cloud Integration, Scalable Architecture, Intelligent Automation, Big Data, Smart Enterprise Systems, Digital InnovationAbstract
The rapid evolution of digital technologies has significantly transformed the way enterprises operate, manage data, and deliver services. Organizations today generate enormous volumes of data from enterprise resource planning systems, customer platforms, supply chains, Internet of Things devices, and digital business applications. However, many enterprises struggle to integrate these diverse data sources effectively, leading to fragmented systems and inefficient decision-making processes. Artificial Intelligence (AI) combined with cloud-based enterprise platforms offers a promising solution for addressing these challenges. SAP cloud technologies provide an integrated environment that supports intelligent data management, advanced analytics, and scalable digital infrastructures. This research paper presents an AI-driven SAP cloud architecture designed to facilitate intelligent enterprise data integration and enable scalable digital transformation. The proposed architecture combines SAP Business Technology Platform, machine learning services, cloud-native microservices, and automated data pipelines to create an intelligent enterprise ecosystem. The paper discusses the architectural framework, integration strategies, implementation methodology, benefits, and challenges associated with deploying AI-enabled SAP cloud architectures in modern enterprises. The study demonstrates how organizations can leverage AI-powered cloud technologies to improve operational efficiency, enhance real-time decision-making, and achieve sustainable digital transformation.
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