SNRI

(ICMLBDIITS - 27) | Hybrid Event
17th - 18th March 2027 | Comilla, Bangladesh

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International Conference on Machine Learning and Big Data Integration in IT Systems
(ICMLBDIITS - 27)

17th - 18th March 2027 Comilla, Bangladesh (Hybrid Event)

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Call for Paper

The ICMLBDIITS is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Big Data, Machine Learning, Information Technology, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Integration challenges in IT systems
  • Machine learning for system interoperability
  • Big data architectures for IT solutions
  • Data integration techniques and tools
  • Real-time data processing in IT systems
  • AI-driven integration strategies
  • Impact of big data on system performance
  • Case studies of successful integrations
  • Data quality and consistency in integration
  • Future of integrated IT solutions
  • Collaboration between IT and data teams
  • Security implications of data integration
  • Scalable solutions for big data integration
  • Machine learning for data harmonization
  • User experience in integrated systems
  • Ethical considerations in data sharing
  • Innovative frameworks for IT integration
  • Data governance in integrated environments
  • Predictive analytics for system optimization
  • Challenges in cross-platform integration
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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