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Cloud-Based Machine Learning : Opportunities and Challenges

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  • Davinder Pal Singh

Abstract

This comprehensive article explores the transformative impact of cloud-based machine learning (ML) on modern enterprises, examining both opportunities and challenges in implementation. The article investigates the rapidly growing cloud computing market and its ML segment, revolutionizing how organizations approach data analytics and business intelligence. Through detailed analysis of enterprise implementations, the article demonstrates how cloud ML solutions have democratized access to advanced analytics, significantly reducing operational costs while improving data processing efficiency. The article examines key aspects, including scalability advantages, cost efficiencies, and technical complexities, while providing evidence-based best practices for successful implementation. Drawing from multiple industry studies and real-world deployments, the article presents a framework for organizations to navigate challenges in data privacy, vendor dependencies, and skill requirements while maximizing the benefits of cloud-based ML solutions.

Suggested Citation

  • Davinder Pal Singh, 2024. "Cloud-Based Machine Learning : Opportunities and Challenges," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 10(6), pages 264-270, November.
    • Handle: RePEc:jbh:ijsrcs:v10:y2024:i6:id:415
    DOI: 10.32628/CSEIT24106177
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT24106177
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