International Baltic Conference on Databases and Information Systems

Overview

The 17th International Baltic Conference on Digital Business and Intelligent Systems (DB&IS) is a biennial international event dedicated to advancing research, innovation, and practice across the broad spectrum of digital business, intelligent systems, and data-driven technologies. Building on its strong heritage and steadily expanding international reach, DB&IS provides a vibrant environment for scientists, practitioners, and doctoral students to exchange research findings, discuss emerging trends, and explore transformative ideas shaping modern digital ecosystems. The conference welcomes work spanning conceptual modelling, business process optimisation, intelligent computing, data science, semantic and knowledge technologies, trustworthy and human-centred AI, digital twins, cybersecurity, emerging infrastructures, and the many domains where digitalisation is reshaping society. Topics of interest include but are not limited to: Models, Methods, and Tools: Conceptual Modelling, Languages and Design, Business and Value Models, Business Analysis and Requirements Engineering, Business Process Modelling, Optimisation and Automation, Simulation and Digital Twins, Information Systems Engineering. Knowledge and Knowledge Technologies: Machine Learning (ML) and Artificial Intelligence (AI) for Data-driven Systems, Information Retrieval (IR) and Text Analytics, Knowledge Graphs, Semantic Web, and Semantic Technologies, Natural Language Processing (NLP), Cognitive Computing and Decision-Support Systems, Advanced Knowledge Management. Approaches for Digitalisation: Strategies and Frameworks for Digital Transformation, Security Risk Management and Fraud Detection, Uncertainty Management, Agile, Agile at Scale, and DevOps for system development, Measuring and Assessing Digital Transformation Success. Intelligent Systems and Applications: Trustworthy and Human-Centred Computing, Artificial Agents and Human-Computer Interaction (HCI), Privacy in Intelligent Systems, Generative AI and Large Language Models (LLMs), Intelligent Platforms and Infrastructures for Digital Business, Digitalisation of critical domains (education, healthcare, agriculture, smart cities, e-governance, etc.). Data, Data Science, and Computing: Data Mining, Analytics, and Storage, including Data Architecture, Big Data, Temporal Data, Geospatial Data Management, Business Intelligence and Information Visualisation, Data-Driven Systems, Computational Modelling and Simulation, Knowledge-Based Computing. Emerging Technologies and Innovation: Blockchain and Distributed Ledger Technologies (DLT) for Business Applications, Cyber-Physical Systems (CPS) and Internet of Things (IoT), Quantum and Post-Quantum Computing for Business Applications, Augmented, Virtual and Mixed Reality (AR/VR/MR) for Business and Decision Support, Sustainability, Green IT and Responsible Innovation. Practice, Ethics, and Case Studies: Best Practice Reports in Implementing Digital Business and Intelligent Systems, Digitalisation Challenges in Enterprise Ecosystems, Responsible AI and Ethical AI, Privacy, Ethics, Trust and Transparency in Intelligent Systems, Case Studies in Digital Transformation and Intelligent Systems.

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