Call For Papers

The ICBDMLITCI 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 analytics in cloud environments
02
Machine learning algorithms for IT solutions
03
Cloud computing innovations and challenges
04
Data-driven decision making in IT
05
Scalable machine learning architectures
06
AI applications in cloud infrastructure
07
Data security in cloud-based systems
08
Real-time data processing techniques
09
Cloud-native machine learning frameworks
10
Predictive analytics for IT management
11
Integrating big data with cloud services
12
Cloud-based platforms for machine learning
13
Data visualization techniques in cloud computing
14
Ethical considerations in AI cloud applications
15
Performance optimization for cloud ML models
16
Automating IT processes with AI
17
Cloud storage solutions for big data
18
Interoperability in cloud-based AI systems
19
Impact of big data on IT strategies
20
Future trends in cloud machine learning

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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