Call For Papers

The ICMLBDITO 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:

01
Machine learning for IT operations
02
Big data analytics for operational insights
03
AI applications in IT management
04
Predictive maintenance using big data
05
Real-time analytics for IT performance
06
Data-driven decision making in IT
07
Machine learning for resource optimization
08
Big data in service delivery
09
AI for incident management in IT
10
Challenges in IT operations analytics
11
Big data analytics for user experience
12
Machine learning for IT strategy
13
Data integration in IT operations
14
Big data solutions for operational challenges
15
AI-driven automation in IT processes
16
Future of big data in IT operations
17
Machine learning for capacity planning
18
Big data analytics for risk management
19
AI applications in IT support services
20
Innovative solutions for IT operations

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



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