A recent WEF‑BCG whitepaper outlines how physical AI—integrating perception, reasoning, and action—will reshape industrial operations, boost productivity by up to 30%, create trillions in value, and demand new workforce skills, while highlighting technical breakthroughs, real‑world use cases, and remaining challenges.
This report analyzes how treating data as a production factor reshapes manufacturing, outlines three major challenges—scenario explosion, business‑application enrichment, and intelligent‑application expansion—and shares concrete governance, platform, and AI‑model practices that enable agile, data‑driven digital transformation.
This article explains seven advanced manufacturing models—smart, networked, cloud, additive (3D‑printing), green, service‑oriented, and collaborative—detailing their definitions, key characteristics, typical applications, and major advantages for modern factories seeking higher efficiency, flexibility, and sustainability.
The article analyzes the rapid rise of AI4Science, highlights the talent gap in China’s industrial sector, presents an AI‑driven PDE case study, compares the strengths and challenges of physics‑based versus data‑driven modeling, and surveys leading AI‑for‑Science courses at top Western universities, concluding that Chinese institutions still lag behind in curriculum development.
This article presents a comprehensive overview of the textile industry's supply chain, identifies key policy, industry, operational, and moral risks, and introduces a "1+D" big‑data risk‑control framework—including data foundations, model and rule libraries, and a configurable risk‑control system—illustrated with a real‑world IoT‑driven case study and discussion of emerging opportunities and challenges.
This article explores the rapid growth of the Internet of Things, outlines the key drivers behind its expansion, highlights major challenges such as chip shortages and bandwidth limits, and presents ten emerging trends—including AI integration, 5G, edge computing, and security—that will shape multiple sectors in the coming years.
This article analyzes ten fundamental questions about digital twins, covering definitions, stakeholders, global interest, relationship with smart manufacturing, integration with New IT, scientific challenges, standards, and commercial tools, aiming to guide researchers, policymakers, and practitioners in understanding and applying digital twin technology.
This article presents a comprehensive 1‑3‑6‑9 framework that guides manufacturers through digital transformation by defining a single growth‑oriented goal, three key domains (business, technology, organization), six core enablers, and nine value‑chain segments, supported by McKinsey research and real‑world case studies.
This article explains the rise of edge computing, its distinction from cloud computing, the technical and business drivers behind it, industry implementations, deployment models, key use cases across sectors, and future development stages, providing a comprehensive overview for practitioners and researchers.
The article explains what the digital economy is, its relationship with digital transformation, the strategic importance placed on it by China's 14th Five‑Year Plan, and offers guidance for IT professionals on how to respond to this emerging national priority.
The article explores the emergence of edge computing driven by digital transformation, outlines its evolution through three stages, examines industry demands across manufacturing, smart cities, and telecom operators, and discusses technical directions, edge‑cloud collaboration models, and typical deployment scenarios.
Suning's COO explains the dual challenges of building AI capabilities and reshaping business processes, detailing how massive store data, algorithmic models, and personalized AI-driven product selection have boosted accuracy by up to 20% and paved the way for AI experience stores and an agile C2M supply chain.
Industry 4.0, driven by IoT, artificial intelligence, big data and cloud computing, represents a new manufacturing era; this article outlines its historical stages, nine supporting technologies, three core characteristics, strategic approaches, eight key factors, eight values, and the Chinese adaptation, illustrated through extensive visual content.
