SNRI

(ICBDMLITIM - 27) | Hybrid Event
17th - 18th March 2027 | Red Deer, Canada

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+91 9344546233 | [email protected]

International Conference on Big Data and Machine Learning in IT Infrastructure Management
(ICBDMLITIM - 27)

17th - 18th March 2027 Red Deer, Canada (Hybrid Event)

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Call for Paper

The ICBDMLITIM 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:

  • Machine learning for IT infrastructure
  • Big data analytics in system management
  • Predictive maintenance using ML
  • Performance monitoring with big data
  • Network optimization through data analysis
  • AI applications in infrastructure management
  • Real-time data processing for IT systems
  • Challenges in IT infrastructure analytics
  • Data-driven decision making in IT
  • Integration of ML in network security
  • Impact of big data on IT operations
  • Infrastructure resilience through analytics
  • Cloud infrastructure and big data
  • Automation in IT management systems
  • Data visualization for infrastructure insights
  • Case studies in IT infrastructure success
  • Future of IT infrastructure management
  • Security challenges in big data systems
  • Collaboration between IT and data science
  • Innovative tools for infrastructure analytics
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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