Pre-Enrollment

15th November 2026

Final Paper Submission

20th November 2026

Registration Deadline

30th November`2026

Conference Date

15th Dec - 16th Dec 2026

Call for Papers

The International Conference on Machine Learning and Big Data Integration in IT Systems invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Big Data,Machine Learning,Information Technology, the conference aims to bridge theoretical advancements with real-world applications.

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

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review