Nous sommes fiers de vous présenter les intervenants de la session ' AI for Industry » qui sont montés sur scène lors du Adopt AI et ont apporté une contribution exceptionnelle au sommet. Leur vision, leurs perspectives stratégiques et leur expérience concrète ont été d’une aide précieuse pour inciter les organisations à définir et à accélérer la mise en œuvre de leurs feuilles de route AI.
Dans cet entretien pour The Bridge, Alexandre Thion de la Chaume (Artefact), Managing Partner, et Florence Bénézit, associée et experte en gouvernance (Data & AI), examinent les principaux défis liés à la AI dans l'industrie et le secteur manufacturier, ainsi que les conditions à remplir pour que la AI devienne un véritable moteur de performance, d'innovation et de résilience.
Depuis 18 mois, le concept ' Generative AI ' domine toutes les réunions stratégiques au plus haut niveau. Mais que se passerait-il si ce sujet était déjà dépassé ? Dans les secteurs de l'énergie et de l'industrie, le débat passe rapidement du « Generative AI » à l'« Agentic AI ». Il ne s'agit pas simplement d'une mise à jour progressive, mais d'un nouveau paradigme qui va au-delà de la simple optimisation des tâches pour réinventer complètement les processus industriels fondamentaux.
AI is reshaping consulting, but not in the way most companies imagine. In a practical exploration of professional services, we reveal how treating AI agents as full-time teammates rather than mere tools, focusing on scaling rather than headcount reduction, and fostering an internal “open-source” culture transforms project delivery, client relationships, and product discovery—and what this means for the future of human-AI collaboration in consulting.
Google’s new AI Overviews are changing how users find information online. In a practical case from the Dutch sustainability sector, we explore how this shift is affecting SEO and SEA for a client active in boilers, hybrid systems, and heat pumps—and what it means for the future of digital marketing in the sector.
Initially, digital twins were used to study how rockets behaved under varying circumstances. Today, they are widely applied to improve operational performance and are becoming one of the flagship concepts of Industry 4.0, perhaps even a cornerstone for Industry 5.0.
As the global regulatory pressure around sustainability in industry intensifies, one question is coming to the fore: how can companies adopt smarter and more sustainable consumption practices? Artificial Intelligence (AI) has emerged as a strategic ally in this scenario, enabling smarter decisions, optimized processes and lower carbon emissions in intensive production chains. In this article, we explore some examples of how the industry is applying AI to tackle energy challenges at scale, and how Artefact is standing out by accelerating the transition to more sustainable, efficient and data-driven operations.
The round table highlighted that trust in AI is essential for its implementation and adoption. This includes legal regulation, model reliability, and users' subjective trust. Without this trust, AI adoption cannot materialize.
The discussion highlighted the significant challenge of AI adoption, noting that over 70% of digital and AI transformations fail due to poor data governance, quality processes, and cultural adoption. Both companies stressed the importance of embracing AI to stay competitive and ensure long-term survival. AI is essential for all sectors, with 80% of global marketers using it to enhance customer experience. The gap between AI leaders and laggards is expected to be wider than in previous digital transformations.
