International Conference on Machine Learning for Big Data and IT Operations - (ICMLBDITO-27)


26th - 27th June, 2027 | Osaka, Japan

Multi-format (In-person/Virtual)

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Important Dates

Pre-registration Deadline

27th May, 2027

Paper Submission Deadline

1st June, 2027

Last Date Of Registration

11th June, 2027

Date Of Conference

26th - 27th June, 2027

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Sample Abstract
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Call for Papers

The (ICMLBDITO-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:

  • Machine learning for IT operations
  • Big data analytics for operational insights
  • AI applications in IT management
  • Predictive maintenance using big data
  • Real-time analytics for IT performance
  • Data-driven decision making in IT
  • Machine learning for resource optimization
  • Big data in service delivery
  • AI for incident management in IT
  • Challenges in IT operations analytics
  • Big data analytics for user experience
  • Machine learning for IT strategy
  • Data integration in IT operations
  • Big data solutions for operational challenges
  • AI-driven automation in IT processes
  • Future of big data in IT operations
  • Machine learning for capacity planning
  • Big data analytics for risk management
  • AI applications in IT support services
  • Innovative solutions for IT operations

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