Pre-Enrollment

8th November 2026

Final Paper Submission

13th November 2026

Registration Deadline

23rd November`2026

Conference Date

8th Dec - 9th Dec 2026

Call for Papers

The International Conference on Machine Learning-driven Big Data Solutions 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 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 Solutions For It Challenges
02
Machine Learning In It Service Management
03
Ai-driven Big Data Applications
04
Data Analytics For It Optimization
05
Scalable Solutions For Big Data
06
Machine Learning For It Infrastructure
07
Big Data In Cloud Computing
08
Data-driven It Decision Making
09
Real-time Solutions For It Problems
10
Ai Applications In It Support
11
Big Data Analytics For Performance Monitoring
12
Machine Learning For Incident Management
13
Data Integration For It Solutions
14
Big Data In Network Management
15
Ai For Predictive Maintenance
16
Challenges In Implementing Big Data Solutions
17
Big Data Analytics For User Experience
18
Machine Learning For It Security
19
Future Of Big Data In It
20
Innovative Big Data Solutions For Enterprises
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