International Conference on

Machine Learning in Big Data Analytics for IT (ICMLBDAIT-26)

29th – 30th Sep 2026 | Buenos Aires, Argentina | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Machine Learning in Big Data Analytics for 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
Machine learning for data analytics
02
Big data processing frameworks
03
AI techniques for data mining
04
Predictive modeling in big data
05
Data visualization for analytics
06
Big data architecture and design
07
Machine learning in business intelligence
08
Big data analytics for decision making
09
Data integration techniques for analytics
10
AI-driven insights from big data
11
Real-time analytics solutions
12
Machine learning for operational efficiency
13
Big data in healthcare analytics
14
Natural language processing for analytics
15
AI applications in data governance
16
Big data analytics in retail
17
Machine learning for customer segmentation
18
Data ethics in analytics
19
Big data trends and challenges
20
Future of machine learning in analytics
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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