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Call For Papers

The ICMLBDITSM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Big Data,Machine Learning,Information Technology, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning in IT service management
  • Big data analytics for service optimization
  • Predictive analytics in IT service delivery
  • Machine learning for incident management
  • Big data applications in customer support
  • Service quality improvement using ML
  • Data-driven decision making in IT services
  • Machine learning for service performance analysis
  • Big data in IT service automation
  • Real-time analytics for service management
  • Machine learning for user experience enhancement
  • Big data visualization for service insights
  • Data governance in IT service management
  • Machine learning for service level agreements
  • Big data in IT operations management
  • Machine learning for change management
  • Big data applications in IT support
  • Machine learning for capacity planning
  • Future trends in IT service management
  • Big data-driven IT service transformation

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Submit Your Paper Now Confirm Your Participation Today
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