International Conference on IT Innovations Enabled by Big Data and ML ICITIBDML

Call For Papers

The ICITIBDML 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:

Innovations in big data and machine learning

Machine learning for IT process automation

Big data analytics for operational efficiency

Data-driven innovations in IT management

Machine learning for predictive maintenance

Big data applications in healthcare IT

Integration of big data and AI technologies

Real-time decision making with ML

Big data and machine learning ethics

Scalable architectures for ML applications

Big data impact on IT service delivery

Machine learning for customer insights

Big data-driven business intelligence solutions

Data quality management in ML systems

Machine learning for risk assessment

Big data visualization for IT innovations

Collaborative filtering in big data contexts

Machine learning for fraud detection

Big data strategies for IT transformation

Future trends in big data and ML

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