SCOPE & OBJECTIVES

The 2026 IEEE Conference on Data Science, Machine Learning, and Intelligence (DataSciMI-2026) serves as a premier platform dedicated to the exploration of Artificial Intelligence (AI), Computational Intelligence (CI), and Business Intelligence (BI). The conference invites contributions that span across these dynamic domains, emphasizing the interplay between AI innovations and CI methodologies. Areas of interest include, but are not limited to:

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

  • AI-driven algorithms
  • Supervised, unsupervised, and reinforcement learning
  • Neural networks and deep learning architectures
  • Genetic algorithms and evolutionary computation
  • Fuzzy logic and expert systems
  • AI applications in various industries (healthcare, finance, etc.)

COMPUTATIONAL INTELLIGENCE

  • Adaptive and intelligent systems
  • Hybrid intelligent systems
  • Swarm intelligence and bio-inspired computing
  • Fuzzy systems and neural networks integration
  • Intelligent data processing techniques

DATA SCIENCE & ANALYTICS

  • Big Data analytics and visualization
  • Data mining and knowledge discovery
  • Predictive analytics and decision-making systems
  • Statistical modeling and analysis techniques
  • Real-time data processing frameworks

BUSINESS INTELLIGENCE

  • Integration of AI and CI in business processes
  • Data-driven decision-making frameworks
  • Business analytics and performance management
  • Tools and technologies for business intelligence

APPLICATIONS & CASE STUDIES

  • AI and CI implementations across sectors
  • Case studies demonstrating the impact of AI on business transformation
  • Practical applications of data science in real-world scenarios