The 16th International Baltic Conference on Digital Business and Intelligent Systems is an international event that focuses on the advances of computer science in digital business and intelligent systems and provides a rich environment for exchange of research findings and ideas among scientists, practitioners, and doctoral students from the Baltic Sea region, Europe, and the rest of the world.

The Doctoral Consortium will be held in line with the main Conference.

This conference is continuing a series of successful biennial Baltic DB&IS conferences that have been held in Trakai (1994, 2018), Tallinn (1996, 2002, 2008, 2014, 2020), Riga (1998, 2004, 2010, 2016, 2022), and Vilnius (2000, 2006, 2012).


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