International Conference on Machine Learning for Big Data Governance in IT - (ICMLBDGIT-26)


17th - 18th October, 2026 | Bangkok, Thailand

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

17th September, 2026

Paper Submission Deadline

22nd September, 2026

Last Date Of Registration

2nd October, 2026

Date Of Conference

17th - 18th October, 2026

Downloads

Call for Papers

The (ICMLBDGIT-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data,Machine Learning,Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Machine learning for data governance
  • Big data compliance and regulatory issues
  • Data quality management in governance
  • Machine learning for data lineage tracking
  • Big data ethics in governance frameworks
  • Governance challenges in big data projects
  • Machine learning for risk assessment
  • Data stewardship in big data environments
  • Big data privacy regulations and compliance
  • Machine learning for data classification
  • Governance frameworks for machine learning
  • Big data transparency and accountability
  • Machine learning for data ownership issues
  • Big data governance best practices
  • Data lifecycle management in big data
  • Machine learning for data integrity
  • Big data in regulatory compliance
  • Machine learning for audit trails
  • Big data governance in healthcare
  • Future trends in data governance

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.