Call For Papers

The ICMLBDSIT 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
Big data solutions for IT challenges
02
Machine learning in IT service management
03
AI-driven big data applications
04
Data analytics for IT optimization
05
Scalable solutions for big data
06
Machine learning for IT infrastructure
07
Big data in cloud computing
08
Data-driven IT decision making
09
Real-time solutions for IT problems
10
AI applications in IT support
11
Big data analytics for performance monitoring
12
Machine learning for incident management
13
Data integration for IT solutions
14
Big data in network management
15
AI for predictive maintenance
16
Challenges in implementing big data solutions
17
Big data analytics for user experience
18
Machine learning for IT security
19
Future of big data in IT
20
Innovative big data solutions for enterprises

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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