GIO发布《AI赋能工业案例集》，助力工业数字化转型

       近日，在第14次GIO（全球行业组织圆桌会议)上，GIO联合德国电气电子行业协会（ZVEI）、德国工业4.0标准化委员会（Standardization Council I4.0）、德国工业4.0平台（German Platform I4.0）、世界经济论坛、工业互联网产业联盟及工业价值链促进会（IVI）等国际行业组织共同发布了《AI赋能工业案例集》。案例集汇聚了AI赋能新工业场景的成功案例，对工业领域的决策者具有很好的参考价值。
 
       案例精选自汽车、制造和流程行业，在AI助力下这些行业加速了设计/工程阶段、运营阶段和维护阶段的数字化，促进了创新。其中有些是成熟应用场景，而大部分案例是全新的应用场景，并通过了概念验证阶段的评估。每个案例都包含了客户挑战、AI赋能情况和效果的介绍，并在雷达图上突出显示了其价值。
 
       人工智能解决方案被认为能够解决客户的痛点问题，案例集中介绍了全球人工智能（如机器学习）的发展趋势，以及学术界关于可信人工智能（如物理信息网络）以及大模型的最新进展。生成式AI的应用正在评估中，其工业价值超出正在开发的副驾驶和基于对话的支持功能，在设计和操作中能够为用户提供支持。

       案例集的亮点之一是数字产品护照（DPP）。DPP是Gartner成熟度指数2023 (Gartner Hype Cycle 2023)的创新触发因素，它可以在复杂的供应链中实现多层次的合作，因此围绕这一场景，案例集选取了很多案例。DPP的标准化为基于AI的供应链优化带来了新的机会，例如供需管理、用于质量控制的联邦学习和数据空间中的制造即服务。DPP通过将产品、工艺规范与能耗、产品碳足迹、以及产品交付时间和环境成本要求相匹配，从而使客户获得商业价值。

       案例集的另一个亮点是人和机器人共享工作环境下的动态预测风险管理。这是一个崭新的认证方案，过去在车间是把机器人用围栏围住、在划定工作区域管控风险；而现在机器人进入到与人共享的工作空间，风险管控方案也要随之演进到管理人机共享工作空间中的风险。基于机器人和进入工作空间的人的数字孪生，使用预测性AI和环境筛选进行风险监测以及未来3秒预测的方案，为机器人操作提供了虚拟认证。

       案例集介绍了汽车、制造和流程行业的关键创新案例，随着复杂性的增加，人工智能可能会提出人类没有想到的解决方案。因此，在寻找新的解决方案时，人工智能和人类的联合团队可能成为最好的创新者，于是演变出一种崭新的创新文化。

       案例集将由GIO和受邀各国和区域（欧盟、美国、日本、中国等）的行业组织持续更新，本案例集是第一个版本。并将在此基础上，正在联合高端智库，启动编写《AI赋能新型工业化白皮书》。
-- 关于GIO --

       2018在巴塞罗那发起成立，GIO作为全球产业组织的协作平台，通过交流与协作加速全球各行业数字化进程，促进产业界的互信互惠，标准互通互认，产业协同发展。 

       来自中国通信协会、信通院、英国工程技术学会、德国电子与数字工业协会、全球计算联盟、边缘计算产业联盟、电信管理论坛及欧盟《人工智能法》主要起草人等20 多个产业组织的几十位中国、德国、英国、欧盟、韩国和日本的代表出席了第十四GIO 圆桌。代表们分享了不同国家的AI战略，共同探讨了AI促进数字转型的新趋势和新场景，以及产业组织后续的协作方向和切入点。期间发布的《AI赋能工业案例集》，是GIO平台上又一个多领域、多行业协作的成果产出。
 
       GIO Released “AI-enabled Industrial Innovations White Paper”, to Expedite the Digitalization and Innovation of Industries

       Recently the 14th GIO ( Global Industry Organizations) High-level Round Table, has published the AI-enabled Industrial Innovations White Paper with focus on manufacturing industries. The white paper has been supported by international industry organizations, e.g. ZVEI (Electro and Digital Industry Association in Germany), Standardization Council I4.0, German Platform I4.0, World Economic Forum, Alliance of Industrial Internet(AII), and Industrial Value Chain Initiative(IVI) in Japan. This booklet is a collection of key Use Cases in manufacturing with the industrial benefit of AI being mapped to a newly introduced business radar, important for decision makers.
 
       The Use Cases selected were taken from automotive, manufacturing and process industries as they have expedited digitalization in the stage gate process of the design/engineering phase, the operation phase and the maintenance phase, triggering further innovations. Some of them are already industry mature, others -mainly new ones- have proof of concept level being evaluated in further national funded R&D projects. For each use case the customer challenge is introduced, the potential for AI enablement outlined and the value highlighted on the radar chart.
       The AI solutions are understood as enablement to overcome the customer’s pain point and encompass the complete spectrum of AI facets. Some being state of the art AI (like machine learning), latest developments in academics on trusted AI (like physical informed networks) and large language models. Generative AI is under assessment to proof industrial value going beyond actual developments of co-pilot and dialog- based support functions for users in design and operation.

       One eye-catching use case of the booklet is the Digital Product Passport (DPP). Digital Product Passports are innovation triggers according Gartner Hype Cycle 2023 as they enable multi- tier cooperation in complex supply chains. Outlook is given on teams of human domain experts and AI services. These mixed teams will be needed to trace data, analyze and select digital twins of services being offered by multiple suppliers in digital markets along the value chain. Value is gained by matching the technical product and process specifications with environmental requirements on energy and product carbon footprint (CO2 consumption) and product delivery time and costs.

       Another eye-catching use case of the booklet is the Dynamic Predictive Risk Management in shared human and robot working environments. This is a new certification scheme that has evolved from excluding any risk in defined robot working environments shielded by fences on the shop floor to managing risks in shared workspaces. Use of predictive AI and environment screening for risk monitoring and forecasting of the next 3 seconds based on digital twins of assets and humans approaching the working area to give virtual certifications for machine and robot operation.

       The booklet introduces key use cases from automotive, manufacturing and process industries triggering further innovations. With growing complexity however, AI may suggest solutions humans have not thought of. Therefore mixed teams of AI and human actors may become the best innovators when it comes to finding new solutions. With generative AI in mind, we see that a new innovation culture is evolving.

       This first publication is meant as a living “work in Progress” document to be continuously being updated by GIO and invited industry organizations across nations (EU, USA, Japan, China) and related think tanks.

       For more details on AI-enabled Industrial Innovations White Paper，please scan the QR code to download：
-- About GIO --

       Global Industry Organizations Roundtable (GIO) was initiated in Barcelona in 2018. As a collaboration platform for global industry organizations, GIO aims to accelerate the digitalization process of all industries globally through communication and collaboration, promote mutual trust and mutual benefit, interoperability and mutual recognition of standards, and collaborative development among various industries.

       More than 40 industry leaders from China, Germany, UK, EU, Korea, Japan separately, who are in more than 20 world leading industry organizations, such as China Communication Association(CCA), China Academy of Information and Communications Technology(CAICT), China Association of Communications(CAS), the Institution of Engineering and Technology(IET), German Electro and Digital Industry Association (ZVEI), Global Computing Consortium(GCC), Edge Computing Consortium(ECC), and TM Forum, as well as leading author of the European Commission's AI Act, participated in 14th GIO. All participants shared AI strategies in different countries, discussed new trends and scenarios of AI for Industries, and future directions and starting points for industry organizations collaboration. The AI-enabled Industrial Innovations White Paper released on 14th GIO is another cross-domain and multi-industry collaboration on the GIO platform.