AI 产业洞察合成 - Adopt AI 2025
我们很荣幸地与您分享 '面向行业的 AI replays "的演讲者,他们在 Adopt AI 中登台演讲,为峰会带来了卓越的价值。他们的远见卓识、战略视角和实际经验对于激励企业制定和加速其 AI 路线图具有宝贵的价值。.
我们很荣幸地与您分享 '面向行业的 AI replays "的演讲者,他们在 Adopt AI 中登台演讲,为峰会带来了卓越的价值。他们的远见卓识、战略视角和实际经验对于激励企业制定和加速其 AI 路线图具有宝贵的价值。.
在《桥》杂志的这次对话中,Artefact 的亚历山大-蒂昂-德拉肖姆(Alexandre Thion de la Chaume)(Managing Partner)和合伙人兼 Data 和 AI 治理专家弗洛伦斯-贝内兹(Florence Bénézit)探讨了 AI 在工业和制造业中面临的主要挑战,以及 AI 要成为业绩、创新和复原力的真正驱动力需要满足的条件。.
在过去的 18 个月里,'生成式 AI '主导了所有 C 级战略会议。但是,如果这已经是老生常谈的话题了呢? 在能源和工业领域,讨论正迅速从 GenAI 转向 Agentic AI。这不仅仅是一种渐进式的更新,而是一种新的范式,一种从简单地增强任务到完全重塑核心工业流程的范式。.
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.
