by ORSYS Editorial Board | 28th November 2025 | Practical information, Resources
Share this page:Knowing how to talk about artificial intelligence in English is essential in a professional context, whether with a customer or a technical team. Here are some bilingual mini-dialogues, vocabulary sheets and tips for...
by François MADJLESSI | 4 November 2025 | Featured article, ESN, AI and big data, IS Management, SMEs, Sectors, Information system, Digital technologies
Share this page:AI has never attracted so much interest. Yet behind the hype lies a more bitter reality: 95 % of enterprise AI projects fail. François Madjlessi, current Director of Digital at Savoie Mont Blanc University...
by ORSYS Editorial Board | 17 October 2025 | ESN, AI and big data, AI for professions, White papers, Business, Resources, Human resources, Sectors, Digital technologies
Share this page:What are the new AI professions? What is the real impact of artificial intelligence on our professions? What new roles and skills are emerging from this revolution? This white paper, written by ORSYS experts, offers you...
by ORSYS Editorial Board | 29 August 2025 | Featured article, Development, ESN, Job descriptions, AI and big data, Sectors, Digital technologies
Share this page:Machine learning engineers are the architects of the AI revolution. At the heart of the data, they design, develop and deploy models that transform raw information into decisions. Take a look behind the scenes...
by ORSYS Editorial Board | 5 February 2025 | Featured article, ESN, AI and big data, AI for professions, Business, Sectors, Digital technologies
Share this page:80 % of enterprise AI projects still fail... So what are the keys to success? How can you align artificial intelligence with your strategic objectives? Making a success of an AI project is not something you can improvise: find out what...
by ORSYS Editorial Board | November 29, 2023 | Featured article, AI and big data, Digital technologies
Share this page: With the upheavals caused by ChatGPT and its ilk, AI is throwing the company into disarray. The opportunity to go back to the fundamentals: what are the differences between AI, machine learning and deep learning? YOU...
