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 Applications for IT Growth 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 For Business Growth
02
Big Data Applications In Healthcare
03
Ai-driven Insights For It Development
04
Data Mining Techniques For It Solutions
05
Predictive Modeling In Big Data Contexts
06
Machine Learning For Customer Analytics
07
Big Data Challenges In It Sectors
08
Ai Applications In Financial Services
09
Data Governance In Machine Learning Projects
10
Scalable Solutions For Big Data Processing
11
Integrating Ai With Existing It Frameworks
12
Machine Learning For Operational Efficiency
13
Big Data Visualization Tools And Techniques
14
Ai In Supply Chain Optimization
15
Ethical Implications Of Big Data Usage
16
Real-time Analytics For It Decision Making
17
Machine Learning In Cybersecurity Applications
18
Ai-driven Marketing Strategies
19
Data Integration Techniques For It Growth
20
Future Of Big Data In It Industries
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