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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,    Gestion des connaissances, Big Data Computing

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

The Cologne Information Retrieval Group (CIR) is working on the intersection of computer and information science to investigate the domain of information retrieval. Current research is on topics like quantitative modeling of user behavior in information retrieval systems, simulation, access and reusability of information from preprint servers in life sciences, technology, and methodology for infrastructures for evaluating IR living lab principles, or the influence of search engines on political discourses. In the research retreat, new research topics and collaborations will be discussed.

entwickler.de Akademie

Komplexe Softwareprojekte scheitern oft an Missverständnissen zwischen Fachbereich und Technik. Domain-driven Design (DDD) setzt genau dort an: mit einer gemeinsamen Sprache, einem klaren Modell und gezielten Mustern zur Strukturierung von Domänenwissen. Im Zentrum stehen die enge Zusammenarbeit mit dem Fachbereich, strategische Abgrenzung von Kontexten und eine modellgetriebene Architekturarbeit, die Fachlichkeit und Code wirksam verbindet. Das Modul DDD vermittelt dir das methodische Fundament, um mit Domain-driven Design komplexe fachliche Anforderungen in klar strukturierte, wartbare Softwarearchitekturen zu überführen. Du lernst, gemeinsam mit der Domäne tragfähige Fachmodelle zu entwickeln, strategische (z. B. Bounded Contexts, Context Maps) und taktische (z. B. Aggregates, Entities, Value Objects) Designentscheidungen zu treffen und diese konsistent im Team zu kommunizieren – für mehr Klarheit, Verständlichkeit und Anschlussfähigkeit in Modell und Code.

entwickler.de Akademie;     Email.: info@entwickler-akademie.de

Domain-driven Design, DDD, Software-Architektur, Software Design, Entwickler-Workshop, Advanced Training, Microservices, Modellierung, Business-Logik, Strategisches Design, Aggregates, Bounded Context, Event Storming, Refactoring, Software-Entwicklung, Code-Qualität, Architektur-Patterns, Software-Engineering

Formation en informatique ,    Génie logiciel

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

Gestion des connaissances, Big Data Computing,    Calcul distribué, cloud computing, informatique en périphérie

The annual ACM SIGMOD/PODS Conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools, and experiences. The conference includes a fascinating technical program with research and industrial talks, tutorials, demos, and focused workshops. It also hosts a poster session to learn about innovative technology, an industrial exhibition to meet companies and publishers, and a careers-in-industry panel with representatives from leading companies.

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

music information retrieval; audio signal processing; deep learning; open source; user interaction and interfaces

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

This Dagstuhl Seminar is relevant to the diverse fields of data management, data engineering, human computation and crowdsourcing, data-driven decision-making, responsible AI, and data governance. The seminar looks at three perspectives: Human, Computational, and Institutional. There is an evident need to bring together perspectives from domain experts who understand the properties and semantics of the datasets (human perspective); from algorithmic advancements that can help improve data quality (computational perspective); and from institutional imperatives including regulations, standards and organizational policies that create necessary safeguards for governance of data pipeline processes (institutional perspective).

Data Quality; Bias and Fairness; Responsible AI

Interface homme-machine, expérience utilisateur, la réalité virtuelle,    Réseaux sociaux et aspects sociaux des technologies de l'information

Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Previous seminars focused on robustness in processing once data were appropriately organized. This seminar will explicitly explore the interplay between organizing and querying that data concurrently in the context of dynamic streaming systems.