L’écurie six fois championne du monde de F1 migre ses processus financiers et RH vers le cloud pour augmenter son efficacité et se conformer au plafond des coûts

Le LNDSpublie son rapport annuel 2024, qui reflète une année de croissance significative et d’impact renforcé dans l’utilisation secondaire des données.

The (Gen)AI and Data Use in Luxembourg Surveywas conducted from February to March 2025 and for the first time, opened to public responses and strategically expanded to include financial sector stakeholders through collaborations with ABBL (The Luxembourg Bankers' Association) and ACA (Association of Luxembourg Insurers and Reinsurers).

In response to the needs of its customers, Satisco Group has deploys a new strategy geared towards providing comprehensive support for companies facing the challenges of AI.

Secure and efficient sharing of healthcare data is crucial for advancing medical research, improving patient outcomes, and fostering innovation in AI-driven healthcare. However, significant barriers hinder data sharing, primarily stemming from privacy concerns, regulatory compliance (e.g., GDPR, HIPAA, AI Act), and the technical challenges of integrating diverse, decentralized datasets. These challenges limit the ability to leverage large, diverse datasets for developing personalized medicine, early diagnosis tools, and AI models. To overcome these limitations, the PHASE IV AI project proposes several solutions and technologies among them a solution centered on the generation and utilization of synthetic data. This approach allows researchers and clinicians to access data with similar statistical properties to real patient data, while preserving patient confidentiality and complying with regulations. Fujitsu, in collaboration with other European partners, has initiated the Phase IV AI project. Fujitsu’s role in this project involves analyzing and proposing essential security and privacy requirements and measures for the secure processing, storage, and sharing of health data. This effort takes into account vulnerabilities and constraints imposed by GDPR and EU AI regulations.

This article explores the key points of attention for privacy in AI and provides guidance on maintaining compliance with the General Data Protection Regulation (GDPR) and the AI Act.

Red Hat, leader mondial des solutions open source, et Axiom Space, pionnier de l’infrastructure spatiale, collaborent pour lancer la Data Center Unit-1 (AxDCU-1) d’Axiom Space. Ce prototype de traitement des données sera envoyé au printemps 2025 vers la Station Spatiale Internationale afin d’effectuer des tests et de démontrer les premières capacités de l’Orbital Data Center (ODC).

Salesforce et Google annoncent aujourd’hui une extension majeure de leur partenariat stratégique, qui apporte aux entreprises un éventail plus large de modèles et de capacités pour leurs agents basés sur l’IA. 

A significant step for the Luxembourg Regtech, reinforcing commitment to Information Security and Regulatory Excellence

Kyndryl (NYSE: KD), the world's largest IT infrastructure services provider, announced today that it has been recognized as the sole leader in the S-Square 2025 Partnership benchmark report in Belgium and Luxembourg

State management is one of the most challenging aspects of modern application development, especially when coordinating several interconnected components. Fluxor is a state management library inspired by the popular Redux library (Created by Meta), designed specifically for Blazor applications. It simplifies state management by centralizing data and ensuring the predictable behavior of your application.

Harnessing the Power of Data for Sustainable BusinessEnvironmental, Social, and Governance (ESG) factors have become paramount for organizations worldwide. As regulatory scrutiny intensifies and stakeholder expectations rise, businesses are under increasing pressure to demonstrate their commitment to sustainability. Data virtualization emerges as a powerful tool to streamline ESG initiatives, improve decision-making, and drive operational efficiency.