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 Machine Learning for Big Data and IT Operations 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 It Operations
02
Big Data Analytics For Operational Insights
03
Ai Applications In It Management
04
Predictive Maintenance Using Big Data
05
Real-time Analytics For It Performance
06
Data-driven Decision Making In It
07
Machine Learning For Resource Optimization
08
Big Data In Service Delivery
09
Ai For Incident Management In It
10
Challenges In It Operations Analytics
11
Big Data Analytics For User Experience
12
Machine Learning For It Strategy
13
Data Integration In It Operations
14
Big Data Solutions For Operational Challenges
15
Ai-driven Automation In It Processes
16
Future Of Big Data In It Operations
17
Machine Learning For Capacity Planning
18
Big Data Analytics For Risk Management
19
Ai Applications In It Support Services
20
Innovative Solutions For It Operations
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