Core Insights - The 2025 World Manufacturing Conference released a report indicating that over 60% of enterprises have achieved digitalization across all business processes as of June 2023, marking a transition from medium to advanced levels of digital transformation in China's manufacturing sector [1][2] Digital Transformation Progress - Key business areas such as R&D design and production manufacturing have seen digitalization rates exceeding 60% [1] - 77.4% of industrial enterprises in China have implemented digital transformation, with some provinces like Jiangsu and Anhui exceeding 80% [3] - The overall level of integration of information technology and industrialization (两化融合) has reached 65% nationwide, with Jiangsu surpassing 70% [3] Industry Challenges - The global economic slowdown and increasing competition are pressuring China's manufacturing market, with rising production costs due to uncertainties in tariffs and trade policies [1] - The manufacturing sector faces dual pressures of green transformation and cost reduction under the "dual carbon" goals [1] Policy and Support Initiatives - Various policies, such as the "Digital Empowerment Action Plan for SMEs (2025-2027)" and "Guidelines for Digital Transformation of SMEs," have been introduced to accelerate digital transformation among small and medium-sized enterprises [2] - The establishment of a public service platform for the integration of information technology and industrialization has provided assessment and benchmarking services to over 360,000 enterprises [3] Future Directions - The integration of artificial intelligence with digital transformation is seen as a crucial step for the manufacturing industry, with a focus on high-end, intelligent, and green upgrades [4] - The development of high-quality data sets is essential for the digital transformation of the manufacturing sector, enabling the application of "Artificial Intelligence+" across various processes [6]

Core Insights - The 2025 World Manufacturing Conference released a report indicating that over 60% of enterprises have achieved digitalization across all business processes as of June 2023, marking a transition from medium to advanced levels of digital transformation in China's manufacturing sector [1][2]. Digital Transformation Progress - Key business areas such as R&D design and production manufacturing have seen digitalization rates exceeding 60% [1]. - 77.4% of industrial enterprises in China have implemented digital transformation, with some provinces like Jiangsu and Anhui exceeding 80% [3]. - The overall level of integration between information technology and industrial processes (referred to as "two-in-one integration") has reached 65% nationwide, with Jiangsu surpassing 70% [3]. Industry Challenges and Responses - The manufacturing sector faces pressures from global economic slowdown, rising production costs, and the need for green transformation under the "dual carbon" goals [1][2]. - Policies such as the "Digital Empowerment Action Plan for SMEs (2025-2027)" have been introduced to accelerate the digital transformation of small and medium-sized enterprises [2]. Role of Artificial Intelligence - The integration of artificial intelligence with digital transformation is becoming a focal point, with companies like China Telecom leading efforts to combine AI with manufacturing processes [4]. - The development of intelligent manufacturing is expected to evolve through two stages: achieving basic digitalization by 2030 and advancing to intelligent upgrades by 2035 [4]. Data Utilization - High-quality data sets are identified as essential for the digital transformation of manufacturing, necessitating the development and utilization of data resources across all processes [6]. - The need for professionals who understand both manufacturing processes and artificial intelligence is emphasized to facilitate deeper applications of AI in the industry [6].

Core Insights - The 2025 World Manufacturing Conference released a report indicating that over 60% of enterprises have achieved digitalization across all business processes as of June 2023, marking a transition from a medium to a higher level of digital transformation in China's manufacturing sector [1][3] - The report highlights the dual pressures of green transformation and cost reduction faced by the manufacturing industry under the "dual carbon" goals, emphasizing the necessity for improved production methods through digital transformation [1][4] Group 1: Digital Transformation Progress - As of June 2023, the digitalization penetration rate in key business areas such as R&D and production exceeds 60%, with 77.4% of industrial enterprises implementing digital transformation [1][3] - The integration of digital transformation is moving from isolated applications to systematic advancements, with 61.4% of enterprises utilizing industrial cloud platforms, enhancing cross-enterprise collaboration [3] Group 2: Policy and Support - The Chinese government has introduced several policies, including the "Digital Empowerment Action Plan for SMEs (2025-2027)" and "Guidelines for Digital Transformation of SMEs," to accelerate the digital transformation of small and medium-sized enterprises [2][3] - A public service platform for the integration of information technology and industrialization has been established, providing assessment and benchmarking services to over 360,000 enterprises across all provinces [3] Group 3: Future Directions - The manufacturing sector is transitioning from a focus on scale to strength, with digitalization becoming a foundational infrastructure for the entire industry [4] - The development of artificial intelligence is being integrated with digital transformation, pushing the manufacturing industry into a new phase characterized by model-driven approaches [4][6] - The goal is to achieve basic digital manufacturing by 2030 and intelligent manufacturing by 2035 across national industrial enterprises [4]

"时序数据是流淌在工业里的血液，是触及工业业务核心的关键。"羚羊公司总裁徐甲甲指出，当前工业时序数据面临种类多、高质量数据稀缺、异构不稳 定、建模难四大挑战，导致检测精度低、泛化能力弱。此次基于Transformer搭建的时序基础模型，实现时序信号统一表征与多任务建模，让"沉睡数据"开口 说话。 编辑：穆皓 在石化厂区，这一技术已改写设备运维模式。当减压泵出口流量低报警时，常减压大模型融合仪表、气体报警、视频流等数据，几分钟内就诊断出过滤器堵 塞，将原本需专家现场处理的问题转化为自动诊断，设备故障诊断误报率降低46%。在某风电场，异常诊断效率提升62%；国能安徽AI辅助电力交易系统更 是将滚动撮合交易盯盘时间从1.5小时缩至15分钟，效率提升84%。 转自：新华财经 依托该大模型，三大智能体实现全链条赋能：工业智能体覆盖锻造等20余环节198道工序；能碳智能体涵盖清洁能源预测等七大场景，助力零碳园区建设； 营销智能体可让企业单日处理500个视频翻译，人工成本直降90%。 9月21日，在2025世界制造业大会"人工智能赋能新型工业化"羚羊专场发布会上，科大讯飞正式发布羚羊工业大模型3.0，其核心的时序基础模型技 ...

Core Viewpoint - The article highlights the significant advancements in AI technology showcased by iFlytek at the 2025 World Manufacturing Conference, emphasizing how these innovations are transforming the manufacturing industry and enhancing operational efficiency [1][30]. Group 1: AI Innovations in Manufacturing - iFlytek presented ten major AI products, including an AI industrial endoscope capable of detecting fatal cracks in aircraft engines as small as 0.01 mm and an AI acoustic imaging device with 132 microphones that can identify gas leaks from 200 meters away [1][5][7]. - The AI acoustic imaging device improved detection efficiency from 5 hours to 30 minutes, achieving a tenfold increase in efficiency [7]. - The AI voiceprint quality inspection device reduced error rates in motor quality checks from 5% to below 1%, cutting costs by 50% [9][11]. Group 2: Language and Communication Solutions - The multi-language AI transparent screen supports real-time translation in 37 languages, achieving over 95% accuracy, and has been widely applied in various sectors [13][15]. - iFlytek's translation system was utilized for simultaneous translation during the conference, enhancing communication among participants speaking different languages [15]. Group 3: Robotics and Intelligent Training - The embodied intelligent training device allows robots to learn new skills by mimicking human actions, addressing the challenge of skill acquisition in industrial settings [17][19]. - This device enables robots to generalize skills across different tasks, significantly reducing programming costs and time [19]. Group 4: Comprehensive AI Solutions - iFlytek introduced the "YinYang" industrial model 3.0, which unifies the processing of time-series data from equipment, streamlining operations and reducing fragmentation in AI applications [21]. - The company has developed various intelligent agents for production management, zero-carbon park construction, and overseas marketing, providing a full-chain solution for the manufacturing sector [21]. Group 5: Social Impact and Accessibility - iFlytek's AI blackboard and hearing aids are designed to enhance educational engagement and improve communication for the hearing-impaired, respectively, demonstrating the social responsibility of AI technology [28][30]. - The AI hearing aid has sold over 140,000 units, utilizing innovative technology to assist the elderly in reconnecting with society [28]. Group 6: Commitment to Self-Reliance - iFlytek's AI models are developed using domestically sourced computing power, showcasing the company's commitment to self-reliance and innovation in AI technology [30]. - The advancements presented at the conference reflect China's ongoing efforts to lead in AI technology and provide solutions for global manufacturing challenges [30].