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Call For Papers

The ICBDAITIS 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:

  • Big data analytics for IT innovation strategies
  • Machine learning applications in data analysis
  • Data-driven decision making in organizations
  • Challenges in big data integration
  • Future trends in big data technologies
  • AI-driven solutions for IT challenges
  • Big data security and privacy concerns
  • Innovative algorithms for big data analysis
  • Real-time analytics in IT systems
  • Case studies on big data in IT
  • Collaboration between industries and academia
  • Ethical considerations in big data applications
  • Big data visualization techniques and tools
  • Impact of big data on business strategies
  • Data governance in big data environments
  • Machine learning for predictive analytics
  • Cloud computing and big data synergy
  • Big data infrastructure and architecture
  • Research opportunities in big data analytics
  • Trends in big data innovation strategies

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.