Call For Papers
The ICMLBDITSM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Big Data,Machine Learning,Information Technology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Machine learning in IT service management
- Big data analytics for service optimization
- Predictive analytics in IT service delivery
- Machine learning for incident management
- Big data applications in customer support
- Service quality improvement using ML
- Data-driven decision making in IT services
- Machine learning for service performance analysis
- Big data in IT service automation
- Real-time analytics for service management
- Machine learning for user experience enhancement
- Big data visualization for service insights
- Data governance in IT service management
- Machine learning for service level agreements
- Big data in IT operations management
- Machine learning for change management
- Big data applications in IT support
- Machine learning for capacity planning
- Future trends in IT service management
- Big data-driven IT service transformation
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.