Nos enorgullece compartir con ustedes la lista de ponentes de 'AI for Industry» que subieron al escenario en Adopt AI y aportaron un valor excepcional a la cumbre. Su visión, sus perspectivas estratégicas y su experiencia práctica han resultado inestimables a la hora de inspirar a las organizaciones a definir y acelerar sus planes de acción para AI.
En esta entrevista para The Bridge, Alexandre Thion de la Chaume, de Artefact (Managing Partner), y Florence Bénézit, socia y experta en gobernanza de Data y AI, analizan los principales retos que plantea la AI en la industria y la fabricación, así como las condiciones que deben cumplirse para que la AI se convierta en un verdadero motor del rendimiento, la innovación y la resiliencia.
Durante los últimos 18 meses, el 'Generative AI' ha acaparado todas las reuniones estratégicas de los altos directivos. Pero, ¿y si ese tema ya ha quedado obsoleto? En los sectores de la energía y la industria, el debate está pasando rápidamente del «Generative AI» al «Agentic AI». No se trata solo de una actualización incremental, sino de un nuevo paradigma que pasa de limitarse a mejorar las tareas a reinventar por completo los procesos industriales fundamentales.
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.
