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Call For Papers

The ICBAML 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 Data Analytics, Business, Management, Artificial Intelligence, 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 applications in business
  • Predictive analytics for market trends
  • AI-driven customer relationship management
  • Data mining techniques for business insights
  • Machine learning for financial forecasting
  • Ethical considerations in AI applications
  • Improving operational efficiency with ML
  • Natural language processing in business
  • Machine learning in supply chain optimization
  • AI for personalized marketing strategies
  • Challenges in implementing machine learning
  • Case studies of successful ML applications
  • Future of machine learning in business
  • Integrating ML with existing systems
  • Data privacy issues in machine learning
  • Machine learning for human resource management
  • Real-time analytics using machine learning
  • Collaborative filtering in e-commerce
  • AI and decision-making in business
  • Impact of machine learning on entrepreneurship

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.