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Call For Papers

The ICMLBDAIT 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:

  • Machine learning for data analytics
  • Big data processing frameworks
  • AI techniques for data mining
  • Predictive modeling in big data
  • Data visualization for analytics
  • Big data architecture and design
  • Machine learning in business intelligence
  • Big data analytics for decision making
  • Data integration techniques for analytics
  • AI-driven insights from big data
  • Real-time analytics solutions
  • Machine learning for operational efficiency
  • Big data in healthcare analytics
  • Natural language processing for analytics
  • AI applications in data governance
  • Big data analytics in retail
  • Machine learning for customer segmentation
  • Data ethics in analytics
  • Big data trends and challenges
  • Future of machine learning in analytics

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.