Managing Machine Learning Lifecycle in Oracle Cloud Infrastructure for ERP-Related Use Cases
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V4I3P110Keywords:
Oracle Cloud Infrastructure (OCI), Machine Learning Lifecycle, Fusion ERP, Data Science, Artificial Intelligence, Autonomous Database, Model Deployment, Predictive Analytics, ERP AutomationAbstract
Artificial Intelligence (AI) and Machine Learning (ML) have been widely used in the pastor wrung environment to improve the decision-making processes, operational efficiency, and automation. The Oracle Cloud Infrastructure (OCI) Data Science is a powerful system to support the end-to-end machine learning lifecycle using an Enterprise Resource Planning (ERP) system. Given that Oracle Fusion ERP is one of the most popular cloud-based ERP systems, the volume of transactions and operational data gathered by the system can be used to gain tremendous business information when combined with OCI Data Science. In this paper, the authors discuss the ways in which OCI Data Science can be used to manage the machine learning lifecycle that includes data ingestion, preparation, modeling, training, evaluation, deployment and monitoring in use cases related to OCI-based ERP. We explore the capabilities of the platform, including Oracle Autonomous Database, Object Storage, and AI Services, and demonstrate how they can be integrated with Oracle Fusion ERP datasets. It is suggested to develop a detailed scheme of implementation, providing the lifecycle stages in the form of a predictive model of expense forecasting. Architectures, methods, case study results, and performance benchmarks are addressed to provide a comprehensive picture of practical implementations. The work also examines some of the more frequently recurring issues in integrations between ERP and ML, including data privacy, model drift, and scalability, and suggests best practices to address these challenges. The paper concludes by discussing future research directions and a roadmap for OCI to enhance AI capabilities within ERP ecosystems
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