Flex Conference (Physical / Digital)

International Conference on Machine Learning for Big Data and IT Operations (ICMLBDITO - 26)

25th - 26th August 2026, Malaga, Spain

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Call for Paper

The ICMLBDITO provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition. The conference covers diverse topics such as Big Data,Machine Learning,Information Technology encouraging participation from emerging researchers and fostering academic growth.

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

Review & Publication

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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Important Dates

Early Bird Registration :26th July 2026

Paper Submission Deadline :31st July 2026

Last Date of Registration : 10th August 2026

Date of Conference : 25th - 26th August 2026

Supporting Academic Continuity

APSTE ensures that research and publication processes continue without interruption in the current global situation. Participants can present their work through digital and integrated formats.

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