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 Models for Big Data-driven 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
Machine Learning Models For Innovation
02
Big Data-driven Product Development
03
Ai Techniques For It Innovation
04
Data Analysis For Strategic Decision Making
05
Challenges In Ml Model Deployment
06
Real-time Analytics For Business Growth
07
Integration Of Big Data In It Solutions
08
Predictive Modeling For It Innovation
09
Case Studies Of Successful Innovations
10
Impact Of Ai On It Processes
11
Data Governance In Innovation Projects
12
User-centered Design In Data Solutions
13
Scalable Ml Models For Enterprises
14
Future Trends In It Innovation
15
Ethical Considerations In Ai Applications
16
Collaboration Between Data Scientists And Developers
17
Data-driven Insights For Competitive Advantage
18
Innovative Algorithms For Business Solutions
19
Machine Learning For Operational Excellence
20
Big Data And Customer Experience Enhancement
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