Flex Conference (Physical / Digital)

International Conference on Data Analytics and IT Technologies - (ICDAIT-26)

21st - 22nd December 2026 , Edinburgh - UK

Registration Options

Access Flexible Participation Categories

Call For Papers

The (ICDAIT-26) 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 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:

  • Big data analytics techniques and tools
  • Data visualization methods for insights
  • Machine learning applications in data analytics
  • Real-time data processing frameworks
  • Data governance and management strategies
  • Predictive analytics in business intelligence
  • Data mining techniques for decision making
  • Ethics in data analytics and privacy
  • Cloud computing for data analytics solutions
  • Data analytics in healthcare and medicine
  • Social media data analysis methodologies
  • Data-driven decision making in organizations
  • Integration of AI in data analytics
  • Challenges in data analytics implementation
  • Data analytics for smart cities development
  • Statistical methods for data analysis
  • Data analytics in financial services
  • Impact of data analytics on marketing strategies
  • Case studies in successful data projects
  • Future trends in data analytics technologies

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.