Call For Paper

Call for Paper

The ICBDAITI invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Big Data,Machine Learning,Information Technology the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

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

  • AI techniques for big data analysis
  • Innovations in IT for data processing
  • Big data applications in healthcare
  • Ethics in AI and big data
  • Real-time data processing solutions
  • Cloud computing for big data
  • Data-driven decision making strategies
  • Machine learning for predictive analytics
  • Big data visualization techniques
  • AI in smart city development
  • Data privacy and security challenges
  • Scalable architectures for big data
  • Big data analytics in finance
  • Natural language processing applications
  • AI-driven automation in IT
  • Big data and IoT integration
  • Data governance frameworks
  • Machine learning in supply chain
  • Big data for environmental monitoring
  • Future trends in AI and big data

Peer Review & Publication

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process by subject matter experts to ensure originality, technical quality, and relevance. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Registration

Authors of accepted papers are required to complete the registration process to confirm their participation in the conference. Early registration is recommended to secure presentation slots and access all conference sessions.

Publication

Accepted papers will be considered for publication in reputed journals and conference proceedings, subject to review outcomes and editorial policies.