需要指出的是，虽然AI目前在消费端能产生流量，但真正创造价值的还是在产业端。美西时间1月5 日，在CES 2026正式开展前一天，英伟达创始人黄仁勋的演讲，开启了"物理AI"全面落地的"ChatGPT 时刻"，联动各产业去做AI工业体系的系统集成。不仅如此，英伟达与西门子的合作，更是成为加速工 业AI革命的新起点。 当下，AI的角色正在随着应用的落地而发生着变化，不再是单纯的模型比拼，而是转向系统场景落 地，演进为真正的智能协作体，聚焦在 "最后一公里"的应用。其中，消费级AI面向个人用户，依赖大 规模通用数据，追求模型能力和交互体验。对比之下，工业AI更考验基本功，对可靠性的要求也更 高。 工业AI的价值潜力巨大，是值得挖掘的金矿，这是不容置疑的事实。但就目前的发展来说，仍处于起 步阶段。北京时间1月7日，在钛媒体「Talk to the World Forums·对话世界」系列论坛上，西门子全球执 行副总裁、西门子中国董事长、总裁兼首席执行官肖松博士与钛媒体集团联合创始人、联席CEO刘湘明 就工业AI驱动下的产业技术革命进行了深入探讨。 肖松博士指出，AI的真正价值将在工业端得到充分释放，但工业AI是一个 ...

【环球网科技综合报道】1月7日消息，在 CES 2026 上，西门子重点展示了其与英伟达的长期合作成果。双方将进一步拓展合作，共同打造工业 AI 操作系 统，助力客户革新物理系统的设计、工程与运营方式。西门子与英伟达将在产品和生产全生命周期内联合开发 AI 加速的工业解决方案，实现更快创新、持 续优化以及更具韧性和可持续性的制造模式。双方还计划在全球范围内打造首批完全由 AI 驱动、具备自适应能力的制造基地，并将于 2026 年以德国爱尔 兰根的西门子工厂作为首个示范样本启动实施。 据悉，在CES 2026上，西门子发布Digital Twin Composer，将西门子全面数字孪生、基于NVIDIA Omniverse库搭建的仿真系统，以及实时采集的工程实景数 据集于一体。该解决方案将于2026年中正式登陆西门子Xcelerator Marketplace。 西门子还在CES 2026首次推出自动驾驶体验项目，呈现全新 PAVE360 汽车技术。作为系统级数字孪生解决方案，其核心定位是加速软件定义汽车研发进 程。现场将通过一辆真实车辆，演示该技术如何在完全虚拟的环境中实现自动驾驶运行，直观展现系统级数字孪生 ...

Siemens (OTCPK:SIEG.Y) 2026 Conference January 06, 2026 12:00 PM ET Speaker1It is so great to kick off CES 2026 with you and to see what can happen when AI begins to animate the physical world. In a moment, you're about to experience what this looks like at a global scale, from a company uniquely positioned to embed intelligence into our real-world systems. A company that has nearly two centuries of experience shaping the infrastructure that powers modern life, transportation, factories, energy grids, and i ...

Core Insights - Siemens has launched Digital Twin Composer, a software solution designed to create Industrial Metaverse environments, enabling organizations to leverage industrial AI, simulation, and real-time data for decision-making at scale [1][2][8] Group 1: Product Features and Capabilities - Digital Twin Composer allows industrial companies to integrate 2D and 3D digital twin data with real-time physical information, creating a secure, high-fidelity 3D experience throughout the lifecycle of products and facilities [2][3] - The software provides contextualized, real-time insights, enabling visualization and interaction with products and processes in their real-world context before physical implementation [3][6] - It unifies design, simulation, and operations into a single model, allowing engineers to test and validate automation long before hardware exists [6][9] Group 2: Case Study - PepsiCo - PepsiCo is utilizing Digital Twin Composer to transform select U.S. manufacturing and warehouse facilities into high-fidelity 3D digital twins, optimizing plant operations and supply chain performance [4][8] - The implementation has resulted in a 20% increase in throughput and a reduction in capital expenditure (Capex) by 10-15% through the identification of hidden capacity and validation of investments in a virtual environment [5][8] Group 3: Strategic Partnerships and Vision - Siemens is collaborating with NVIDIA to enhance the capabilities of Digital Twin Composer, integrating NVIDIA Omniverse libraries for physically accurate simulations across workflows [9] - The initiative aims to help manufacturers overcome challenges related to complexity, production acceleration, cost reduction, and profitability enhancement [7][9] Group 4: Company Overview and Financials - Siemens AG generated revenue of €78.9 billion and net income of €10.4 billion in fiscal 2025, employing around 318,000 people globally [13]

LAS VEGAS and PURCHASE, N.Y., Jan. 6, 2026 /PRNewswire/ -- At CES 2026, PepsiCo (NASDAQ: PEP) announced a multi-year, industry-first collaboration with Siemens and NVIDIA to transform plant and supply chain operations through advanced digital twin technology and AI. This collaboration marks a first-of-its-kind initiative for a global CPG company applying digital twins to reshape how plant and warehousing facilities are digitally simulated and tested, with early pilots already underway in the U.S. Together, ...