International Conference on

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

18th – 19th Sep 2026 | Dublin, Ireland | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Machine Learning-driven Big Data Solutions in IT invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Big Data, Machine Learning, Information Technology encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
Big data solutions for IT challenges
02
Machine learning in IT service management
03
AI-driven big data applications
04
Data analytics for IT optimization
05
Scalable solutions for big data
06
Machine learning for IT infrastructure
07
Big data in cloud computing
08
Data-driven IT decision making
09
Real-time solutions for IT problems
10
AI applications in IT support
11
Big data analytics for performance monitoring
12
Machine learning for incident management
13
Data integration for IT solutions
14
Big data in network management
15
AI for predictive maintenance
16
Challenges in implementing big data solutions
17
Big data analytics for user experience
18
Machine learning for IT security
19
Future of big data in IT
20
Innovative big data solutions for enterprises
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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