Flex Conference (Physical / Digital)

International Conference on IT Innovations Enabled by Big Data and ML - (ICITIBDML-27)

17th - 18th March 2027 , Vanadzor - Armenia

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Call For Papers

The (ICITIBDML-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Big Data, Machine Learning, Information Technology are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Innovations in big data and machine learning
  • Machine learning for IT process automation
  • Big data analytics for operational efficiency
  • Data-driven innovations in IT management
  • Machine learning for predictive maintenance
  • Big data applications in healthcare IT
  • Integration of big data and AI technologies
  • Real-time decision making with ML
  • Big data and machine learning ethics
  • Scalable architectures for ML applications
  • Big data impact on IT service delivery
  • Machine learning for customer insights
  • Big data-driven business intelligence solutions
  • Data quality management in ML systems
  • Machine learning for risk assessment
  • Big data visualization for IT innovations
  • Collaborative filtering in big data contexts
  • Machine learning for fraud detection
  • Big data strategies for IT transformation
  • Future trends in big data and ML

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.