Hybrid Conferencee

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

11th - 12th July 2026 | Moscow, Russia
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Moscow. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Moscow event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Moscow conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Moscow, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Moscow."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLBDITSM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Big Data,Machine Learning,Information Technology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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