International Conference on Machine Learning-driven Big Data Solutions in IT - (ICMLBDSIT-27)


2nd - 3rd January, 2027 | Colombo, Sri Lanka

Multi-format (In-person/Virtual)

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Important Dates

Pre-registration Deadline

3rd December, 2026

Paper Submission Deadline

8th December, 2026

Last Date Of Registration

18th December, 2026

Date Of Conference

2nd - 3rd January, 2027

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Call for Papers

The (ICMLBDSIT-27) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data, Machine Learning, Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

  • Big data solutions for IT challenges
  • Machine learning in IT service management
  • AI-driven big data applications
  • Data analytics for IT optimization
  • Scalable solutions for big data
  • Machine learning for IT infrastructure
  • Big data in cloud computing
  • Data-driven IT decision making
  • Real-time solutions for IT problems
  • AI applications in IT support
  • Big data analytics for performance monitoring
  • Machine learning for incident management
  • Data integration for IT solutions
  • Big data in network management
  • AI for predictive maintenance
  • Challenges in implementing big data solutions
  • Big data analytics for user experience
  • Machine learning for IT security
  • Future of big data in IT
  • Innovative big data solutions for enterprises

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot