É com orgulho que compartilhamos com você o replays dos palestrantes do AI for Industry' que subiram ao palco no Adopt AI e agregaram valor excepcional à cúpula. Sua visão, perspectivas estratégicas e experiência no mundo real foram inestimáveis para inspirar as organizações a moldar e acelerar seus roteiros de AI.
Nesta conversa para o The Bridge, Alexandre Thion de la Chaume, Managing Partner, do Artefact, e Florence Bénézit, sócia e especialista em governança do Data e AI, exploram os principais desafios do AI no setor industrial e de manufatura e as condições que precisam ser atendidas para que o AI se torne um verdadeiro impulsionador de desempenho, inovação e resiliência.
Nos últimos 18 meses, o 'Generative AI' dominou todas as sessões de estratégia de nível C. Mas e se essa já for a conversa antiga? Nos setores industrial e de energia, a discussão está mudando rapidamente de GenAI para Agentic AI. Não se trata apenas de uma atualização incremental, mas de um novo paradigma, que vai do simples aumento de tarefas à reinvenção completa dos principais processos industriais.
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.
