IJRMEET-Vol.14-2026
-
Machine Learning Techniques for Cloud Migration and Data Consolidation in Enterprises
— This study explores the role of machine learning (ML) techniques in streamlining cloud migration and data consolidation within enterprise environments. As companies increasingly adopt cloud infrastructure, efficient migration and consolidation are paramount. This paper discusses…
-
Architecting Sustainable and Energy-Efficient Cloud Solutions for Big Data
— The rapid adoption of cloud computing for big data analytics has transformed industries by enabling scalable, on-demand data processing. However, the environmental impact of data centers has raised concerns over the sustainability and energy efficiency…
-
Data-Oriented Predictive Analytics for Enhanced Inventory Control in SAP Cloud
— In a rapidly evolving business landscape, inventory control is vital for maintaining efficiency and reducing costs. This paper explores the role of predictive analytics in enhancing inventory control within SAP Cloud environments, focusing on data-oriented…
-
Vol. 14, Issue 06, June 2026
Published: 2026-05-31 Sr. Title of Research Paper/Article Author(s) e-Certificate Download Confirmation Letter 1 Data-Oriented Predictive Analytics for Enhanced Inventory Control in SAP Cloud Dr Amit Kumar Jain Download PDF 2 Architecting…
-
Implementing Predictive AI for Inventory and Resource Optimization in SAP Systems
Predictive AI has shown immense potential in revolutionizing inventory and resource management, especially within SAP systems widely used across enterprises. This manuscript explores the implementation of predictive AI models to enhance resource allocation and streamline inventory…
-
Leveraging Real-Time Data Analytics for Improved Cloud Business Intelligence
Real-time data analytics in cloud business intelligence (BI) has become a crucial asset for organizations seeking agility, insights, and competitive advantages in a rapidly evolving digital landscape. This paper explores the integration of real-time data analytics…
-
Cost Management and Optimization in Multi-Cloud Data Engineering
In the rapidly evolving landscape of multi-cloud architectures, cost management and optimization are critical challenges for data engineering teams. This paper presents an in-depth analysis of the tools, strategies, and frameworks utilized in managing and optimizing…
-
Designing Data Lakes for Cross-Platform Analytics in Large Enterprises
In today’s data-driven business environment, large enterprises face significant challenges in integrating and analyzing data from multiple platforms. A data lake architecture provides a solution by enabling scalable storage and real-time data analytics capabilities across various…
-
Integrating AI with Predictive Data Models to Modernize Cloud Architecture
This study explores the integration of artificial intelligence (AI) and predictive data models within cloud architecture to enhance efficiency, scalability, and data-driven decision-making. By leveraging AI-driven predictive models, enterprises can modernize their cloud infrastructure, achieve resource…
-
Vol. 14, Issue 05, May 2026
Published: 2026-04-30 Sr. Title of Research Paper/Article Author(s) e-Certificate Download Confirmation Letter 1 Integrating AI with Predictive Data Models to Modernize Cloud Architecture Er Akshun Chhapola Download PDF 2 Designing Data…