Flex Conference (Physical / Digital)

International Conference on Machine Learning-driven Big Data Solutions in IT (ICMLBDSIT - 26)

24th - 25th September 2026, Salzburg, Austria

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Call for Paper

The ICMLBDSIT 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:

  • 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

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 :25th August 2026

Paper Submission Deadline :30th August 2026

Last Date of Registration : 9th September 2026

Date of Conference : 24th - 25th September 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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