International Conference on

Machine Learning and Big Data Integration in IT Systems (ICMLBDIITS-26)

5th – 6th Oct 2026 | Cairo, Egypt | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Machine Learning and Big Data Integration in IT Systems 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
Integration challenges in IT systems
02
Machine learning for system interoperability
03
Big data architectures for IT solutions
04
Data integration techniques and tools
05
Real-time data processing in IT systems
06
AI-driven integration strategies
07
Impact of big data on system performance
08
Case studies of successful integrations
09
Data quality and consistency in integration
10
Future of integrated IT solutions
11
Collaboration between IT and data teams
12
Security implications of data integration
13
Scalable solutions for big data integration
14
Machine learning for data harmonization
15
User experience in integrated systems
16
Ethical considerations in data sharing
17
Innovative frameworks for IT integration
18
Data governance in integrated environments
19
Predictive analytics for system optimization
20
Challenges in cross-platform integration
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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