HYBRID EVENT: You can participate in person at Addis Ababa, Ethiopia or Virtually from your home or work

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Call For Papers

The ICBDMLITO 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-driven optimization techniques
  • Machine learning for operational efficiency
  • Data analytics for IT optimization
  • Big data applications in performance tuning
  • Machine learning for resource allocation
  • Big data insights for decision making
  • Optimization strategies using big data
  • Machine learning for cost reduction
  • Big data in supply chain optimization
  • Real-time analytics for IT performance
  • Big data visualization for optimization
  • Machine learning for predictive analytics
  • Big data in customer experience enhancement
  • Optimization of IT infrastructure with ML
  • Big data applications in marketing strategies
  • Machine learning for process improvement
  • Big data-driven business model innovation
  • Data quality for optimization processes
  • Machine learning for competitive advantage
  • Future directions in big data optimization

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.

Submit Your Paper Now Confirm Your Participation Today
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