Conférences  >  Informatique  >  Gestion des connaissances, 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;     Tél.: [0555732365];     Email.: marketing@gitexasia.com

Sécurité des systèmes d'information et protection de données,    Conception et gestion des bases de données, Moteurs de recherche et extraction de connaissances à pa

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

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

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

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

IADIS

The BigDaCI’26 conference is expected to provide an opportunity for the researchers to meet and discuss the latest solutions, scientific results and methods in solving intriguing problems in the fields of Big Data Analytics, Intelligent Agents and Computational Intelligence. BigDaCI’26 invites authors to submit their original and unpublished work that demonstrate current research using big data analytics, computational intelligence and other intelligent computing techniques and their applications in science, technology, business and commerce.

Conference Secretariat;     Email.: secretariat@bigdaci.org

Big Data Algorithms and Architectures, Foundations of big data processing, Programming Techniques, Analytics and Metrics, Representation Formats, Cloud Computing Techniques, Mobile and Pervasive Computing, Data Management, Data Quality, Social Network, Protection, Integrity and Privacy, Distributed Data Mining, Visualization, Big Data Applications, Web Intelligence, Humanities, Stock Market Analysis, Scalable Cloud Data Management, Privacy and Security, Geosciences, Manufacturing and Supply Chains, Earth Science, Biomedical Informatics, High dimensional data, Social Networks, B2B Marketing and Sales, Healthcare, Sustainable development, Advanced Manufacturing, Computational Intelligent Frameworks for Big Data Processing, Artificial Neural Networks and Learning methods, Knowledge based systems, Uncertainty management, Global optimization methods, Intelligent Control Systems, Intelligent Internet Systems, Intelligent Software Systems, Parallel Computation, Pattern Recognition, Systems Modelling, Web Mining Multi-Agent Systems: Models, Architectures and Applications, Ontologies, Computational Complexity, Mobile Agents, Negotiation Strategies, Security, Privacy and Trust, Agent Applications, Technologies and Trends, Agent Models and Architectures, Web Agents, Protocols and Standards, Data Mining Topics and Applications, Parallel and distributed data mining algorithms, Data streams mining, Graph mining, Spatial data mining, Text video, multimedia data mining, Web mining, Pre-processing techniques, Visualization, Security and information hiding in data mining, Data Mining Applications

IADIS

In the rapidly evolving landscape of technology and business, the International Conference on Digital Transformation and Innovation Management (DTIM) serves as a premier platform for researchers, academicians, and industry practitioners to converge and explore cutting-edge advancements at the intersection of Information Systems and Management Innovation. This conference aims to foster a collaborative environment that stimulates insightful discussions and paves the way for novel approaches to digital transformation, emphasizing its deep impact on organizational strategies, operations, and global societal progress.

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

Digital business models, Strategic alignment with technology, Leadership in the digital age, Change management in digital transformation, Ethical considerations in digital strategy, Digital innovation ecosystems, Governance and risk management in digital initiatives, Impact of digital leadership on organizational culture, Big data analytics, Predictive analytics and forecasting, Data-driven decision-making, Business intelligence tools and practices, Real-time analytics for business operations, Data privacy and security challenges, Machine learning applications in business, Data visualization for managerial insights, Blockchain and distributed ledger technology, Internet of Things (IoT) applications, Artificial intelligence and cognitive computing, Augmented and virtual reality in business, 5G technology and its impact on business, Robotic process automation (RPA), Quantum computing advancements, Technology-driven business model disruption, Cybersecurity, Smart Cities.

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.

Métrologie et instrumentation,    Observation de la Terre, système d'information géographique

University of York Europe Campus

The 11th International Conference on Web Intelligence, Machine Intelligence and Semantics (WIMS'2026) invites researchers, practitioners, and innovators to explore the intersection of AI, web technologies, semantic systems, and intelligent data mining. As the web evolves into a dynamic, intelligent ecosystem powered by machine intelligence, knowledge graphs, and agentic systems, WIMS'2026 provides a platform to discuss cutting-edge research, applications, and societal impacts. WIMS'2026 will be co-located with the 12th Balkan Conference in Informatics (BCI), and the 18th International Symposium on Intelligent Distributed Computing (IDC). Participants will have the opportunity to interact with the corresponding research communities and submit papers to the co-located events.

WIMS Secretariat;     Email.: contact.for.more.info@proton.me

Track 1: Web Intelligence & Agentic AI, Track 2: Machine Intelligence & Learning Systems, Track 3: Semantics & Knowledge Technologies, Track 4: Human-Centered Web Intelligence, Track 5: Web Infrastructure & Systems, Track 6: Applications & Societal Impact.

Mise en œuvre et applications de l'intelligence artificielle,    Conception et gestion des bases de données, Moteurs de recherche et extraction de connaissances à pa

University of York Europe Campus

The 18th International Symposium on Intelligent Distributed Computing (IDC'2026) provides an open forum for enhancing the collaboration between researchers, lecturers, and students from Intelligent Computing and Distributed Computing communities. Intelligent Computing covers a hybrid palette of methods, techniques and their applications ranging from classical artificial intelligence, information and data sciences, multi-agent technologies or computational intelligence to more recent trends such as swarm intelligence, bio-inspired computation, cloud computing, machine learning or social/ cyber-physical trust and security. Distributed Computing develops methods and technology to build complex computational systems composed of collaborating software components scattered across diverse computational elements. IDC'2026 welcomes research works centered on all aspects of intelligent distributed computing, with an intention to balance between theoretical research ideas and their application to great variety of industrial cases. IDC'2026 will be co-located with the 12th Balkan Conference in Informatics (BCI), and the 11th International Conference on Web Intelligence, Machine Intelligence and Semantics (WIMS). Participants will have the opportunity to interact with the corresponding research communities and submit papers to the co-located events.

IDC Secretariat;     Email.: contact.for.more.info@proton.me

Cloud Computing, Distributed Swarm Robotics Systems, Ephemeral and Unreliable computing, Intelligent Distributed Applications, Intelligent Distributed and High-Performance Architectures, Intelligent Distributed Knowledge Representation and Processing, Intelligent Transportation Systems, Internet of Things, Nature-inspired Methods for Supervised and Unsupervised Data Mining, Networked Intelligence, Organization and Management, Parallel Metaheuristics for Optimization.

Mise en œuvre et applications de l'intelligence artificielle,    Calcul distribué, cloud computing, informatique en périphérie