Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- AI applications in data science
- Machine learning algorithms and techniques
- Data-driven decision making in organizations
- Ethics in AI and data science
- Data science for social good initiatives
- Big data analytics in various domains
- Predictive modeling and analytics
- Data visualization best practices
- Natural language processing in data science
- Data science education and training
- Data mining techniques for insights
- AI and automation in information technology
- Data science for healthcare innovations
- Challenges in implementing AI solutions
- Interdisciplinary approaches to data science
- Data privacy and security in AI
- Real-time analytics for business intelligence
- Future trends in AI and data science
- Data ethics and responsible AI
- Case studies in data science applications
All papers must be original and not previously published or submitted elsewhere.
