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IADIS

The IADIS Information Systems Conference (IS 2026) aims to provide a forum for the discussion of IS taking a socio-technological perspective. It aims to address the issues related to design, development and use of IS in organisations from a socio-technological perspective, as well as to discuss IS professional practice, research and teaching.

Conference Secretariat;     Email.: secretariat@is-conf.org

IS in Practice, Technology Infrastructures and Organisational Processes; IS Professional Issues; IS Learning and Teaching; IS Design, Development and Management Issues and Methodologies; and IS Research

MIPRO Croatian Society

The Business Intelligence Systems and Big Data Processing (BIS-BDP) conference focuses on modern applications and technologies for gathering, accessing, and analyzing data to support deeper insights into business operations. Building on a strong foundation in data warehousing (DW) and traditional multidimensional analysis, the scope has expanded to include real-time, spatiotemporal, and distributed data processing. Special attention is given to the role of artificial intelligence (AI), particularly generative AI, in transforming how organizations extract insights from data.

Email.: boris.vrdoljak@fer.hr

Data Warehouse and OLAP, Modern DW Architecture, Business Intelligence, Big Data Analytics, Big Data Processing, Big Data Analytics Applications, Data-Centric AI, Predictive and Descriptive Analytics and its Application, Analytics for the Cloud Infrastructure, SNA, Analytics for Data Streams and Sensor Data, Edge Analytics, Analytics for Temporal, Spatial, Spatio-temporal and Mobile Data, Text, Web and Sentiment Analysis, Semantic Web and Semantic Data Integration, AI-powered Business Intelligence and Decision Support Systems, Machine Learning Applications in Business and Industry, Generative AI for Automated Report Generation, Text Summarization, and Data Narratives, AI-driven Forecasting and Strategic Planning, XAI in Business Intelligence, Responsible and Ethical Use of AI in Business Data Analytics, Integration of LLMs in Business Systems, Human-AI Collaboration in Decision-Making Processes, AI for Anomaly Detection, Risk Analysis, and Fraud Detection, Generative AI in Customer Support, Personalization, and CRM, AI-augmented Data Visualization and Dashboards, Use of AI and GenAI in Educational Data Analytics and Adaptive Learning Systems, Intelligent Agents and Autonomous Business Systems, AI in Enterprise Knowledge Management and Semantic Reasoning, Natural Language Interfaces for Business Data Exploration, Education Management Information Systems, BPM, Integration of Digital Twin and Big Data Technology, Prescriptive Analytics and Optimization Systems

Calcul distribué, cloud computing, informatique en périphérie,    Conception et gestion des bases de données, Moteurs de recherche et extraction de connaissances à pa