International Conference on Machine Learning for Big Data Governance in IT ICMLBDGIT

Call For Papers

The ICMLBDGIT bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Big Data, Machine Learning, Information Technology , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event