Topics of Baltic DB&IS 2024

Models, Methods, and Tools for Digital Business:

  • Conceptual Modeling, Languages and Design
  • Business and Value Models
  • Business Analysis and Requirements Engineering
  • Ontologies for Digital Business
  • Business Process Modeling and Improvement for Digital Business
  • Models and Methods for Continuously Evolving Enterprise Ecosystems
  • Business Process Management, Automation, and Simulation-Based Optimization
  • Simulation and Digital Twins

Knowledge and Knowledge Technologies for Digital Business and Intelligent Systems:

  • Machine Learning
  • Information Retrieval
  • Knowledge Graphs, Semantic Web, and Semantic Technologies
  • Natural Language Processing
  • Perception and Cognitive Systems
  • Advanced Knowledge Management
  • Research Methods in Computer Science and Information Systems Engineering
  • Computational Thinking for STEM and Engineering Education

Approaches and IT for Digitalization:

  • Strategies and Approaches for Digital Transformation
  • Risk and Security Management and Fraud Detection
  • Uncertainty Management
  • Agile and DevOps in Digital Transformation
  • Measuring and Assessing Digital Transformation Success
  • Digitalization in Domain-specific Business (healthcare, agriculture, smart city, e-governance etc.)

Intelligent Systems for Digital Business:

  • Artificial Agents and Human-Computer Interaction
  • Artificial Intelligence and Machine Vision
  • Cybersecurity, Robotics, and Smart Industrial Systems
  • Intelligent Platforms and Infrastructures for Digital Business
  • AI for Decision Support
  • AI Ethics and Responsible AI
  • Generative AI applications
  • Domain-Specific Applications of AI (healthcare, finance, education, smart-city, etc.

Data, Data Science, and Computing for Digital Business and Intelligent Systems:

  • Data Storage, Mining, and Analytics
  • Big Data, Temporal Data, Geospatial Data
  • Data-Driven Systems Evolution
  • Computational Modeling
  • Knowledge-Based Computing
  • Uncertainty Handling in Computing

Emerging Technologies and Innovation for Digital Business:

  • Blockchain and Business Applications
  • IoT and Industry Applications
  • Quantum Computing and Business
  • Augmented and Virtual Reality (AR/VR) for Business
  • Smart Cities: Integrating IoT and AI for Urban Development
  • Sustainability and Green Tech Innovations

Digital Business and Intelligent Systems in Practice:

  • Case Studies in Digital Transformation
  • Best Practice Reports in Implementing Digital Business and Intelligent Systems
  • Digitalization Challenges in Enterprise Ecosystems

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