2025 International conference on AI-Driven Business Transformation and Data Science Innovation (ICBTDS 2025)will bring together leading researchers, engineers and scientists in the domain of interest from around the world.
The topics of interest for submission include, but are not limited to:
Business TransformationAI-driven business model innovation and case studies Intelligent supply chain management and optimization Applications of AI in business transformation within the financial industry AI applications in smart manufacturing and Industry 4.0 Personalized recommendations and customer experience optimization in retail using AI Intelligent customer service and AI-driven customer relationship management Business model innovation in healthcare powered by AI Autonomous driving and business transformation in smart transportation Personalized learning and teaching optimization in education using AI AI strategies and practices in enterprise digital transformation |
Data Science InnovationIntegration of big data analytics and AI algorithms Applications of data visualization in AI Data privacy protection and AI ethics governance High-performance computing and optimization of AI model training Cutting-edge applications of natural language processing (NLP) in data science Recent advances in time series analysis and predictive modeling Applications of graph neural networks (GNN) in complex data analysis Data-driven research on AI model interpretability and explainability Data quality management and AI model performance optimization Edge computing and distributed data science applications |
AI-Driven Business Transformation and Data Science Innovation Collaborative applications of AI and data science in smart cities Data-driven AI decision support systems and enterprise strategic transformation Data analysis and business optimization in marketing using AI Applications of data science and AI in risk management AI-driven data governance and business compliance research Innovative applications of data science and AI in the energy industry Cross-disciplinary applications of AI and data science in agricultural intelligence Collaborative optimization of data science and AI in logistics and warehouse management Development of data science tools and platforms powered by AI Successful case studies of data science and AI in cross-industry business transformation |
Manuscripts passed the peer-review process by expert reviewers from the conference organizing committee will be accepted and published in the Conference Proceedings. The published papers will then be submitted to EI Compendex, Scopus for abstracting/indexing.