International Conference on

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

18th – 19th Sep 2026 | San Francisco, USA | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Machine Learning and Big Data in IT Service Management invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Big Data, Machine Learning, Information Technology encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Machine learning in IT service management
02
Big data analytics for service optimization
03
Predictive analytics in IT service delivery
04
Machine learning for incident management
05
Big data applications in customer support
06
Service quality improvement using ML
07
Data-driven decision making in IT services
08
Machine learning for service performance analysis
09
Big data in IT service automation
10
Real-time analytics for service management
11
Machine learning for user experience enhancement
12
Big data visualization for service insights
13
Data governance in IT service management
14
Machine learning for service level agreements
15
Big data in IT operations management
16
Machine learning for change management
17
Big data applications in IT support
18
Machine learning for capacity planning
19
Future trends in IT service management
20
Big data-driven IT service transformation
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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