[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-673331-105":3,"detail-sidebar-cat-0-en-105":79,"doc-detail-673331-en":129},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":72,"head_meta":74,"extra_data":76,"updated_unix":78},105,"en","the-application-guide-to-the-integration-of-industry-and-ai","The Application Guide to the Integration of Industry and AI","","The text presents a strategic application guide for integrating industry with artificial intelligence, framing AI as a new productive force that reshapes industrial paradigms through data, knowledge, and intelligent decision-making. It highlights China’s need for intelligent transformation amid resource and environmental constraints, rising labor costs, and global competition pressures. It describes proven AI value across multiple sectors, then proposes a structured transformation method—“Three layers, Five stages and Eight steps”—to address adoption challenges and build industrial AI democratization through shared foundations, data, knowledge, and ecosystems.",{"@graph":14,"@context":71},[15,34,54],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/technology/","Technology",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/the-application-guide-to-the-integration-of-industry-and-ai/673331/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":48,"encodingFormat":47,"isAccessibleForFree":49,"interactionStatistic":50},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/the-application-guide-to-the-integration-of-industry-and-ai/673331.png","ImageObject",300,407,{"name":42,"@type":43},"Aria","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-02",true,{"@type":51,"interactionType":52,"userInteractionCount":22},"InteractionCounter",{"@type":53},"ViewAction",{"@type":55,"mainEntity":56},"FAQPage",[57,63,67],{"name":58,"@type":59,"acceptedAnswer":60},"Why is the integration of industry and AI considered important in the new era?","Question",{"text":61,"@type":62},"It supports industrial upgrading by enabling perception, cognition, and decision-making, helping address challenges such as resource and environmental constraints and competitive pressures while shifting growth toward efficiency and innovation.","Answer",{"name":64,"@type":59,"acceptedAnswer":65},"What practical AI outcomes are described across industrial sectors?",{"text":66,"@type":62},"The text cites sector examples showing improvements in personalized manufacturing, defect detection and yield, smart scheduling and energy efficiency, and reduced carbon emissions, demonstrating quality and efficiency gains.",{"name":68,"@type":59,"acceptedAnswer":69},"What obstacles still limit large-scale industrial AI adoption?",{"text":70,"@type":62},"Challenges include data silos, high computing costs, insufficient knowledge accumulation, and limited ecosystem synergies that prevent full realization of AI potential.","https://schema.org",{"og:url":32,"og:type":73,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":75,"canonical":32},"index,follow",{"doc_id":77,"site_id":7},673331,1793629834,{"code":4,"msg":80,"data":81},"success",[82,86,90,94,99,103,108,113,118,121,125],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":83,"show_sort_weight":84,"slug":85},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":87,"show_sort_weight":88,"slug":89},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":91,"show_sort_weight":92,"slug":93},"Exam",70,"exam",{"id":95,"doc_module":4,"doc_module_name":25,"category_name":96,"show_sort_weight":97,"slug":98},5,"Comic",60,"comic",{"id":100,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":101,"slug":102},6,50,"technology",{"id":104,"doc_module":4,"doc_module_name":25,"category_name":105,"show_sort_weight":106,"slug":107},7,"Healthcare",40,"healthcare",{"id":109,"doc_module":4,"doc_module_name":25,"category_name":110,"show_sort_weight":111,"slug":112},8,"Research & Report",30,"research-report",{"id":114,"doc_module":4,"doc_module_name":25,"category_name":115,"show_sort_weight":116,"slug":117},9,"Religion & Spirituality",20,"religion-spirituality",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":119,"show_sort_weight":116,"slug":120},"World Cup","world-cup",{"id":122,"doc_module":4,"doc_module_name":25,"category_name":123,"show_sort_weight":122,"slug":124},10,"Lifestyle","lifestyle",{"id":126,"doc_module":4,"doc_module_name":25,"category_name":127,"show_sort_weight":95,"slug":128},19,"General","general",{"code":4,"msg":80,"data":130},{"doc_id":77,"user_id":131,"nickname":42,"user_avatar":132,"doc_module":4,"category_id":100,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":133,"file_id":134,"file_url":135,"file_type":136,"file_size":137,"view_count":22,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":138,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":78,"read_time":143},2336464648322,"https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488","Building a Fully Connected, Intelligent World  \nStriding Towards the Intelligent World  \nThe Application Guide to the Integration of Industry and AI  \nThe Application Guide to the Integration of Industry and AI  \nPreface  \nYu Haibin  \nAs the world today undergoes changes with a magnitude unseen in a century, the global landscape of industrial competition is being profoundly reshaped. Industry, the foundation of national strength and prosperity, has long served as the core support and key pillar of a country’s comprehensive power. History has repeatedly proven through practice that without a strong industrial system, neither sustained economic prosperity nor long-term national stability can be secured. On China’s journey from a manufacturer of quantity to one of quality, new industrialization is the only viable path forward. The in-depth integration of industry and artificial intelligence (AI) is becoming a pivotal driver for industrial transformation and global competitiveness, poised to reshape the paradigmsand the structure of industry.  \nIntegration of Industry and AI: An Inevitable Choice in the New Era  \nThe history of industrial revolutions is a history of industrial upgrading driven by technologies. From mechanization to electrification and then to informatization, each leap in technological innovation has reshaped industrial production models. Today, intelligent technologies represented by AI are ushering in a new chapter of the Fourth Industrial Revolution. AI is not just a tool but a new form of productive force. By harnessing data, accumulating knowledge and enabling intelligent decision-making, it equips industry with the capabilities of perception, cognition and decision-making, driving the evolution from industrial automation to industrial intelligence.  \nAt this pivotal stage in China’s drive towards new industrialization, the deep integration of industry and AI carries profound significance. Currently, China’s industrial sector is confronted with a complex set of challenges, including growing resource and environmental constraints, rising labor costs, and mounting pressures from global industrial chains competition. The rapid advancement of AI technologies offers a  \nThe Application Guide to the Integration of Industry and AI  \nnew pathway to overcome these obstacles and realize industrial transformation. By leveraging AI to optimize production processes, enhance energy efficiency as well as foster innovation in products and services, China can effectively shift its industrial growth model from one reliant on “scale dividend” to one powered by “efficiency dividend” and“innovation dividend”, injecting strong new momentum into the high-quality development of industry.  \nIntegration of Industry and AI in Practice: From Breakthroughs in Application Scenarios To Thriving Ecosystems  \n“The Application Guide to the Integration of Industry and AI” systematically outlines the implementation pathways and practical experiences of applying AI across various industrial sectors. We are pleased to see that AI has already proven its value in seven major sectors, including automotive, electronics, petrochemicals, iron and steel, mining and pharmaceuticals. In the automotive sector, AI-driven flexible manufacturing makes personalized production possible; in semiconductors, AI-assisted defect detection has significantly improved yield rates; in coal mining and iron and streel, AI-enabled smart scheduling and energy-efficiency optimizations have substantially lowered carbon emissions. These examples have convincingly demonstrated that AI is not only a hallmark of technological innovation but also a core engine for improving quality and efficiency across industries.  \nHowever, large-scale industrial adoption of AI still faces numerous challenges, such as data silos, high computing costs, insufficient knowledge accumulation and lack of ecosystem synergies—all of which limit the realization of AI’s full potential. Therefore, this Gui","cbCaiibRYFp3Zion","https://ap.wps.com/l/cbCaiibRYFp3Zion","pdf",5825984,129,"English","# Preface\n# Integration of Industry and AI: An Inevitable Choice in the New Era\n# Integration of Industry and AI in Practice: From Breakthroughs in Application Scenarios To Thriving Ecosystems\n# Jointly Building a Chinese Path Towards Industrial AI Democratization","[{\"question\":\"Why is the integration of industry and AI considered important in the new era?\",\"answer\":\"It supports industrial upgrading by enabling perception, cognition, and decision-making, helping address challenges such as resource and environmental constraints and competitive pressures while shifting growth toward efficiency and innovation.\"},{\"question\":\"What practical AI outcomes are described across industrial sectors?\",\"answer\":\"The text cites sector examples showing improvements in personalized manufacturing, defect detection and yield, smart scheduling and energy efficiency, and reduced carbon emissions, demonstrating quality and efficiency gains.\"},{\"question\":\"What obstacles still limit large-scale industrial AI adoption?\",\"answer\":\"Challenges include data silos, high computing costs, insufficient knowledge accumulation, and limited ecosystem synergies that prevent full realization of AI potential.\"}]","The Application Guide to the Integration of Industry and AI | PDF",325]