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..

La compréhension et l’optimisation des processus métiers sont devenues des enjeux majeurs pour les entreprises. Pourtant, bien souvent, ces processus sont mal définis, interprétés différemment selon les acteurs et nécessitent des mois d’analyse avant d’être améliorés. Pour aider les entreprises dans leur transformation numérique, NSI Luxembourg propose à ses clients de révolutionner la gestion des processus en exploitant directement les données des systèmes informatiques pour révéler la réalité des flux de travail grâce à l’IBM Process Mining. .

Oracle Introduces AI Agent Studio New Oracle AI Agent Studio empowers Oracle Fusion Cloud Applications customers and partners to easily create, extend, deploy, and manage AI agents and agent teams across the enterprise.