International Conference on Machine Learning and Big Data in IT Service Management - (ICMLBDITSM-27)


17th - 18th March, 2027 | Ilheus, Brazil

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

15th February, 2027

Paper Submission Deadline

20th February, 2027

Last Date Of Registration

2nd March, 2027

Date Of Conference

17th - 18th March, 2027

Downloads

Call for Papers

The (ICMLBDITSM-27) 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.