Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Data science methodologies and frameworks
- AI for data integration solutions
- Machine learning for data-driven insights
- Big data analytics in various sectors
- Data visualization techniques in AI
- AI for predictive modeling applications
- Data governance in AI projects
- Ethical considerations in data science
- AI for real-time data processing
- Data quality challenges in AI systems
- AI in business intelligence applications
- Collaborative data science approaches
- Machine learning for anomaly detection
- AI for customer segmentation strategies
- Data science in healthcare applications
- AI for financial data analysis
- Future trends in data science research
- AI in marketing analytics
- Data-driven decision making in organizations
- AI for supply chain optimization
All papers must be original and not previously published or submitted elsewhere.
