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Call For Papers

The ICBDAITI 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:

  • AI techniques for big data analysis
  • Innovations in IT for data processing
  • Big data applications in healthcare
  • Ethics in AI and big data
  • Real-time data processing solutions
  • Cloud computing for big data
  • Data-driven decision making strategies
  • Machine learning for predictive analytics
  • Big data visualization techniques
  • AI in smart city development
  • Data privacy and security challenges
  • Scalable architectures for big data
  • Big data analytics in finance
  • Natural language processing applications
  • AI-driven automation in IT
  • Big data and IoT integration
  • Data governance frameworks
  • Machine learning in supply chain
  • Big data for environmental monitoring
  • Future trends in AI and big data

Evaluation

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

Conference Alert

Due to heightened regional tensions and travel risks, the conference may be conducted in virtual-only mode. Updates regarding participation format will be communicated in advance.