International Conference on

Big Data and Machine Learning for IT Innovations (ICBDMLITI-26)

28th – 29th Oct 2026 | Lagos, Nigeria | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Big Data and Machine Learning for IT Innovations 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 and machine learning innovations
02
AI-driven solutions for IT challenges
03
Challenges in big data integration
04
Future trends in machine learning technologies
05
Real-time analytics in IT systems
06
Data-driven decision making in IT
07
Big data security and privacy concerns
08
Innovative algorithms for big data analysis
09
Case studies on big data in IT
10
Collaboration between industries and academia
11
Ethical considerations in big data applications
12
Big data visualization techniques and tools
13
Impact of big data on business strategies
14
Data governance in big data environments
15
Machine learning for predictive analytics
16
Cloud computing and big data synergy
17
Big data infrastructure and architecture
18
Research opportunities in big data analytics
19
Machine learning applications in IT innovations
20
Trends in big data technologies
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

Quick Links

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