Pre-Enrollment

21st February 2027

Final Paper Submission

26th February 2027

Registration Deadline

8th March`2027

Conference Date

23rd Mar - 24th Mar 2027

Call for Papers

The International Conference on Machine Learning for Big Data Governance 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
Machine Learning For Data Governance
02
Big Data Compliance And Regulatory Issues
03
Data Quality Management In Governance
04
Machine Learning For Data Lineage Tracking
05
Big Data Ethics In Governance Frameworks
06
Governance Challenges In Big Data Projects
07
Machine Learning For Risk Assessment
08
Data Stewardship In Big Data Environments
09
Big Data Privacy Regulations And Compliance
10
Machine Learning For Data Classification
11
Governance Frameworks For Machine Learning
12
Big Data Transparency And Accountability
13
Machine Learning For Data Ownership Issues
14
Big Data Governance Best Practices
15
Data Lifecycle Management In Big Data
16
Machine Learning For Data Integrity
17
Big Data In Regulatory Compliance
18
Machine Learning For Audit Trails
19
Big Data Governance In Healthcare
20
Future Trends In Data Governance
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