International Conference on Machine Learning and Big Data in IT Service Management - (ICMLBDITSM-26)


26th - 27th June, 2026 | Jeddah, Saudi Arabia

Multi-format (In-person/Virtual)

Important Dates

Pre-registration Deadline

27th May, 2026

Paper Submission Deadline

6th June, 2026

Last Date Of Registration

11th June, 2026

Date Of Conference

26th - 27th June, 2026

Downloads

Call for Papers

The (ICMLBDITSM-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data,Machine Learning,Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.