Pre-Enrollment

15th September 2026

Final Paper Submission

20th September 2026

Registration Deadline

30th September`2026

Conference Date

15th Oct - 16th Oct 2026

Call for Papers

The International Conference on Big Data Analytics in IT 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 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
Real-time Big Data Processing Techniques
02
Big Data In Predictive Analytics Applications
03
Data Visualization Tools For Big Data
04
Challenges In Big Data Governance
05
Big Data Technologies For Healthcare
06
Machine Learning Algorithms For Big Data
07
Big Data Storage Solutions And Architectures
08
Ethics Of Big Data Usage
09
Big Data In Social Media Analytics
10
Data Mining Techniques For Big Data
11
Scalable Big Data Architectures
12
Impact Of Big Data On Business Strategies
13
Big Data Analytics In Financial Services
14
Iot Data Management And Analytics
15
Big Data Applications In Smart Cities
16
Data Privacy Concerns In Big Data Analytics
17
Big Data And Artificial Intelligence Convergence
18
Big Data Analytics For Customer Insights
19
Open-source Tools For Big Data Processing
20
Future Directions In Big Data Research
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