Conferences  >  Informatics  >  Information & Knowledge Management, Big Data Computing

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

KAOUN International

Accelerated by GITEX GLOBAL, the world’s largest tech and startup show, GITEX ASIA x AI EVERYTHING SINGAPORE unites global AI pioneers, digital infrastructure leaders, frontier startups, strategic investors and policymakers to accelerate transformation across every major sector. From public-private collaboration to enterprise adoption, the show delivers real outcomes, deep partnerships, and future-defining breakthroughs - live from Singapore, Asia's capital of Innovation.

GITEX ASIA MARKETING;     Phone: [0555732365];     Email: marketing@gitexasia.com

Information Security and Information Privacy,    Database Technology and Design, Search Engines and Data Mining

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Autonomous AI agents, empowered by recent advances in Large Language Models (LLMs) and generative AI, are rapidly changing how we interact with, structure, and reason about information. These "agentic" systems go beyond static analysis – they act: interpreting their environment, interacting with humans and other agents, and autonomously executing tasks. This evolution opens new doors for knowledge engineering, especially in the context of increasingly complex, dynamic, and human-centric information spaces. While traditional knowledge engineering emphasized structured symbolic representations (e.g., ontologies, knowledge graphs) and formal reasoning, modern generative agents leverage machine-learned representations and natural language interfaces to emulate intelligent behavior. However, this comes with new challenges: How can we ensure such agents are interpretable, controllable, and aligned with human expectations? What is the role of hybrid systems that combine symbolic reasoning and statistical learning? This meeting will explore agentic AI as a foundation for the next generation of knowledge engineering systems – those that not only understand and transform data, but can also autonomously interact, reason, and collaborate.

Jeju National University

ICBDC2026 is technically co-sponsored by Jeju National University, Korea, Sensors and System Society of Singapore, supported by Chulalongkorn University, Thailand. The aim of ICBDC 2026 is to present the latest research and results of scientists related to Big Data and Computing topics. This conference provides opportunities for the different areas delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up to date scientific field.

Email: Dunn@iact.net

Algorithmic, experimental, prototyping and implementation; Big Data Algorithms, Applications and Services; Big Data Mining and Analytics; Big Data Processing and Querying; Cloud and Big Data for Internet of Things (IoT); Computing, scheduling and resource management for sustainability; Government and Industrial Experiences for Cloud and Big Data; Green Computing and Networking Technologies for Cloud and Big Data; Green data centers / environmental-friendly perspectivesGreen data centers / environmental-friendly perspectives; Software Engineering for Cloud Computing and Big Data; Software, hardware and algorithm co-design, high-performance computing; Software and tools for big data management; Cloud Computing Solutions and Platforms; Privacy and Security for Cloud and Big Data; Big Data Visualization; Big Data Education; Data quality issues: such as validation, metrics, optimizations and consistency; Data-driven innovation, computational modelling and data integration; Data intensive computing theorems and technologies; Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The aim of this Dagstuhl Seminar is to bring together researchers from different subfields of computer science that study or use techniques in knowledge compilation.

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

Distributed, Edge and Cloud Computing,    Database Technology and Design, Search Engines and Data Mining

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Explainable AI; Knowledge Representation; Neuro-Symbolic AI; Machine Learning

3D GeoInfo | SDSC | LADM & 3D LA 2026, the co-located 21st International 3D GeoInfo Conference 2025, 10th International Smart Data and Smart Cities Conference and 14th International FIG Workshop on LADM & 3D LA, will be held in Sofia, Bulgaria on 28th September - 2nd of October 2026. The event is hosted by the Big Data for Smart Society (GATE) Institute, Sofia, Bulgaria.

Metrology and Instrumentation,    Geographic Information System (GIS), Geoinformatics, Earth Observation