The Artefact Research Center's mission is to foster an innovation ecosystem around AI and data by encouraging collaboration between university professors and representatives of international partner companies. The goal: cutting-edge research driven by data and the industrial applications of its partner companies.
Discover how Agentic AI is driving practical, strategic advantages for digital and data marketers. From autonomous campaign optimization to personalized customer experiences, this technology empowers your team to focus on high-impact innovation.
Vincent Luciani, co-founder and Executive Chairman of Artefact, emphasizes that artificial intelligence (AI) must be concretely integrated into a company's collective processes, if it is to deliver real productivity gains. The entrepreneur will be taking part in the MKIA, an event organized by Maddyness and dedicated to AI, at the Salle Gaveau in Paris, on Tuesday April 29.
No strategy is effective without measurement! Choosing projects, evaluating the performance of AI agents or the hallucinations of the machine: detailed explanations of the governance you need to put in place to stand out from the crowd thanks to artificial intelligence.
In July 2024, Robin was promoted to CTO of Artefact France for his deep technology expertise and management skills. He now leads a large team of data scientists, software engineers and frontend developers, ensuring that his team is at the forefront of technology, with training and curiosity at the heart of his approach.
AI ontwikkelt zich snel in de richting van een toekomst waarin gebruikers niet langer nadenken over modellen, modi of hulpmiddelen. In plaats daarvan worden systemen dynamisch adaptief: ze passen automatisch de redeneerdiepte aan, selecteren de juiste hulpmiddelen en beheren bronnen in realtime op basis van de complexiteit van taken.
As AI agents increasingly handle tasks like email drafting or resolving customer service issues, one challenge becomes clear: how can these agents communicate effectively - not only with humans but also with the software systems they depend on?
De opkomst van AI in bedrijven speelt zich af op twee niveaus: het verbeteren van de individuele productiviteit via Task Agents en het herdefiniëren van collectieve workflows via Workflow Agents. Hoewel deze innovaties efficiëntieverbeteringen beloven, introduceren ze ook structurele uitdagingen. Zonder een goed georchestreerde strategie riskeren organisaties een ongecontroleerde proliferatie van agents en kritieke operationele afhankelijkheden.
Nu AI steeds meer taken overnemen, zoals het opstellen van e-mails of het oplossen van problemen bij de klantenservice, staan we voor een cruciale uitdaging: hoe communiceren deze agents effectief, niet alleen met mensen, maar ook met de software-ecosystemen waar ze op vertrouwen?
