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Call For Papers

The ICIADSF 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 Artificial Intelligence, Data Science, Machine Learning, encouraging applied research, case studies, and industry-driven innovations.

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

  • AI applications in financial forecasting
  • Data science for risk management in finance
  • Machine learning for fraud detection
  • AI-driven investment strategies
  • Predictive analytics in credit scoring
  • Data privacy in financial technologies
  • AI for personalized financial advice
  • Algorithmic trading using machine learning
  • Data-driven approaches to portfolio management
  • AI in regulatory compliance for finance
  • Sentiment analysis for market prediction
  • AI for customer segmentation in finance
  • Machine learning in insurance underwriting
  • Data visualization techniques for financial data
  • AI in financial crime prevention
  • Data ethics in financial AI applications
  • AI for optimizing operational efficiency in finance
  • Financial data analysis using big data techniques
  • AI in wealth management solutions
  • Future trends in AI for finance

Evaluation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.