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 and Machine Learning for IT Innovations 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
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

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