Pre-Enrollment

17th September 2026

Final Paper Submission

22nd September 2026

Registration Deadline

2nd October`2026

Conference Date

17th Oct - 18th Oct 2026

Call for Papers

The International Conference on Big Data Technologies for IT Innovation 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
Innovative Big Data Technologies In It
02
Applications Of Big Data In Business
03
Big Data Analytics For It Innovation
04
Challenges In Big Data Management
05
Future Trends In Big Data Technologies
06
Big Data Solutions For Enterprise Systems
07
Data-driven Decision Making In It
08
Big Data Architecture And Frameworks
09
Real-time Big Data Processing Techniques
10
Big Data Visualization Tools And Techniques
11
Impact Of Big Data On It Strategies
12
Big Data Ethics And Privacy Concerns
13
Scalable Big Data Storage Solutions
14
Big Data Integration With Cloud Computing
15
Machine Learning Applications In Big Data
16
Big Data For Predictive Analytics
17
Big Data And Iot Integration
18
Big Data Quality And Governance
19
Big Data In Cybersecurity Applications
20
Case Studies On Big Data Innovations
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