• ISSN 2320-6586 (Online)
  • Monthly since 2013
  • Open access
  • Double blind peer review
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  • Challenges and Solutions in Developing AI-Driven Audience Development Platforms

    — The digital landscape has rapidly evolved, leading to the need for innovative solutions in content delivery, audience engagement, and targeted marketing. Artificial Intelligence (AI) is at the forefront of this transformation, enabling the creation of…

  • Vol. 14, Issue 07, July 2026

      Published: 2026-06-30         Sr. Title of Research Paper/Article Author(s) e-Certificate Download Confirmation Letter 1 Challenges and Solutions in Developing AI-Driven Audience Development Platforms Adrian Ionescu Download PDF 2 Backend System Architectures for…

  • Cross-Disciplinary Communication in Engineering Teams: Fostering Innovation and Cohesion

    — Cross-disciplinary communication is essential for fostering innovation and cohesion within engineering teams. As projects become more complex and multifaceted, teams composed of professionals from various engineering disciplines—such as electrical, mechanical, civil, and software engineering—must collaborate…

  • Cloud-Based Security Frameworks for Protecting SAP, IoT, and Enterprise Data

    — This study examines the critical aspects of cloud-based security frameworks tailored to protect SAP, IoT, and other enterprise data. As businesses increasingly rely on cloud environments to drive scalability and operational efficiency, security frameworks that…

  • 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…