AFTER

Call For Papers

The ICAIDM emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Ai For Data Science And Decision Making are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

AI for data-driven decision support systems
Machine learning in business analytics
AI applications in supply chain management
Data science for strategic decision making
AI tools for operational efficiency
Predictive analytics for business growth
AI in customer relationship management
Data-driven marketing strategies using AI
AI for financial risk assessment
AI in human resources management
AI for enhancing business intelligence
Data visualization for decision making
AI in product development processes
AI for competitive analysis in markets
Real-time analytics for business decisions
AI in performance measurement and evaluation
AI for improving customer experience
Data ethics in business decision making
AI and data science in entrepreneurship
Future trends in AI for business applications

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.