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Call For Papers

The ICBDAIT 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 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:

  • Real-time big data processing techniques
  • Big data in predictive analytics applications
  • Data visualization tools for big data
  • Challenges in big data governance
  • Big data technologies for healthcare
  • Machine learning algorithms for big data
  • Big data storage solutions and architectures
  • Ethics of big data usage
  • Big data in social media analytics
  • Data mining techniques for big data
  • Scalable big data architectures
  • Impact of big data on business strategies
  • Big data analytics in financial services
  • IoT data management and analytics
  • Big data applications in smart cities
  • Data privacy concerns in big data analytics
  • Big data and artificial intelligence convergence
  • Big data analytics for customer insights
  • Open-source tools for big data processing
  • Future directions in big data research

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.