• ISSN 2320-6586 (Online)
  • Monthly since 2013
  • Open access
  • Double blind peer review
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  • Vol. 14, Issue 02, February 2026

      Published: 2026-01-31         Sr. Title of Research Paper/Article Author(s) e-Certificate Download Confirmation Letter 1 Spearheading Business Growth with AI-Based Market Trend Analysis Niharika Singh Pg. 1-6 Download PDF 2 AI-Driven Innovation in…

  • Driving Business Transformation Through Cloud-Based Data Governance Solutions

    — In the era of digital transformation, businesses are increasingly recognizing the critical importance of data governance to maintain data quality, security, and compliance. Cloud-based data governance solutions provide organizations with the agility and scalability necessary…

  • AI-Enhanced Go-to-Market Strategies for Rapid Market Penetration

    This paper explores how artificial intelligence (AI) can revolutionize go-to-market (GTM) strategies, enabling rapid market penetration in highly competitive environments. With AI-driven tools, companies can better predict market trends, optimize resource allocation, and personalize customer experiences,…

  • Managing Data Products Lifecycle on Cloud Platforms: Azure Best Practices

    In the era of digital transformation, managing data products efficiently throughout their lifecycle has become imperative for organizations leveraging cloud platforms. This paper examines best practices for managing the lifecycle of data products on Microsoft Azure,…

  • AI and Data Strategy Alignment: Integrating Business Goals and Cloud Infrastructure

    — This paper explores the critical alignment between artificial intelligence (AI) strategies, data management, and cloud infrastructure to achieve business goals. As organizations increasingly depend on AI for decision-making, it becomes essential to integrate these strategies…

  • Transforming Business Models with AI Driven Data Products on Cloud Platforms

    — Artificial Intelligence (AI) is reshaping how businesses operate, particularly in the cloud environment. The transition from traditional business models to AI-powered solutions on cloud platforms has enabled organizations to leverage data as a strategic asset.…

  • Vol. 14, Issue 01, January 2026

      Published: 2025-11-30         Sr. Title of Research Paper/Article Author(s) e-Certificate Download Confirmation Letter 1 Transforming Business Models with AI Driven Data Products on Cloud Platforms DOI: https://doi.org/10.63345/ijrmeet.org.v14.i1.1 Priyanka Goud Pg. 1-13 Download…

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

    — 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…

  • IoT-Enhanced Data Analytics in SAP for Healthcare Operations

    The integration of Internet of Things (IoT) technology with SAP-enabled data analytics in healthcare operations has opened new avenues for improving patient care, resource management, and operational efficiency. This study explores the impact of IoT-enhanced SAP…

  • Predictive Machine Learning Models for Proactive Maintenance in SAP-Focused Manufacturing

    — Predictive maintenance is a critical component of Industry 4.0, especially in SAP-integrated manufacturing environments where downtime and equipment failure directly impact productivity and profitability. This study explores the development of predictive machine learning (ML) models…