On January 9, the Artificial Intelligence Empowering Future Factories Forum, jointly organized by Machine Heart, WAIC Circle, and Pujiang Software Venture Capital, was successfully held in Shanghai. The annual conference, themed "Lighting Up Future Factories with AI," brought together technical executives and industry experts from renowned companies such as Getech, Lenovo Technology, Schneider Electric, Foxconn Industrial Internet, Inspur Cloud, and Bosch Automotive. They explored how to leverage AI technology to drive factory transformation, upgrading, and innovation breakthroughs, focusing on hot topics like lighthouse factories, manufacturing globalization, and large model-enabled factories, providing valuable insights for the digital transformation of manufacturing.
Zhu Jintong, General Manager of Getech's Industrial Operations Solutions Division, was invited to deliver a keynote speech titled "Industrial Intelligence: From Empowerment to Deep Integration." He provided an in-depth analysis of the current development trends in industrial intelligence from multiple perspectives, offering practical advice for manufacturing enterprises to achieve transformation and upgrading through AI technology. According to Zhu, industrial intelligence has entered a deep-water zone, requiring breakthroughs in three key areas: data integration, single-scenario closed loops, and multi-system collaboration. Currently, the effectiveness of AI and smart manufacturing hinges on the accuracy and effectiveness of data integration and analysis. Integrating multi-modal data and industry-specific terminology is a crucial step toward factory excellence. Zhu cited Getech’s independently developed AI-FDC for defect detection, which has evolved from static to dynamic data models. This upgrade breaks away from traditional FDC’s reliance on manual modeling and passive fault response, enhancing functions like interception, analysis, classification, and control recommendations through automated modeling and self-learning optimization, ultimately enabling precise detection of process faults. Similar deep data integration for single-scenario business closed loops is also evident in Getech’s self-developed energy and carbon management solution for HVAC optimization, which leads the industry in business depth. AI-driven HVAC automatic optimization and centralized control achieve deep intelligence in decision-making, reducing annual electricity consumption by 5-20% compared to conventional cooling systems, with a static payback period of 2-3 years. In both single-scenario cases, the deep integration of AI technology and industrial mechanisms promotes efficiency improvements and self-optimizing closed loops within single systems, significantly lowering the barrier to intelligence in advanced manufacturing scenarios.
Factory excellence requires not only极致 efficiency in single systems but also breaking down silos between multiple entities and systems from the ground up, integrating systems and equipment into an organic whole from a holistic perspective for unified centralized control. Zhu emphasized that Getech’s CIM Foundation intelligent hub, provided to a leading泛 semiconductor customer, has interconnected systems and equipment of multiple users into an organic whole, enabling intelligent multi-system collaboration. By deploying Getech’s self-developed CIM Foundation platform, the company offers intelligent message scheduling, automated business flow execution, and centralized intelligent alerts and monitoring for CIM subsystems, boosting overall factory efficiency by over 30%. This breaks down silos between systems and equipment, enabling free flow and efficient use of key data, and providing comprehensive, accurate support for intelligent decision-making. Similarly, multi-system collaboration practices have matured in logistics automation. Getech’s independently developed AMHS solution seamlessly connects hardware like OHT and STK with control software such as MCS material control and MES搬运指令, achieving end-to-end execution and intelligent collaboration, with real-time monitoring and full automation of搬运 operations.
Zhu believes that platform-based AI capabilities can accelerate the intelligent upgrade of industrial software. Getech has encapsulated functions like AI application orchestration, knowledge bases, model services, industry or enterprise plugins, and intelligent reports into its self-developed industrial AI platform, empowering industrial software with AI. Additionally, Getech’s industrial AI platform, dedicated to R&D and external empowerment, has accumulated tens of thousands of models covering the entire process from data collection, cleaning, and labeling to model training, evaluation, and optimization. It can quickly generate and deploy data processing models tailored to different industrial scenarios and needs, helping factories extract valuable information from massive data promptly and accurately, providing strong support for intelligent decision-making. As a leading AI-driven industrial intelligence solution provider, Getech relies on three pillars—AI, industrial software, and smart equipment—to offer end-to-end industrial intelligence solutions for泛 semiconductor customers, covering manufacturing execution, equipment automation, quality management, energy and carbon management, and logistics automation, helping manufacturers achieve极致 efficiency, yield, and cost goals. In the strategically focused泛 semiconductor field, Getech’s "product strength" is particularly outstanding in equipment intelligence and quality management, with technologies like AI fault detection and classification and AI quality multi-factor analysis pushing the precision and intelligence of equipment and product management to the limit. With nearly six years of experience serving almost 1,000泛 semiconductor factories and a R&D and technical team占比 of 80%, the company has accumulated deep manufacturing know-how, enhancing "delivery capability" and creating over 200 industry benchmark cases. In the future, Getech will continue to deepen its industrial AI business, enhancing service "resilience" in the deep-water zone of industrial intelligence, planting cutting-edge technology into the soil of high-quality growth in advanced manufacturing, and solving challenges to create new productive forces.
