On the afternoon of April 10, 2025, the "Visit to Huawei's Songshan Lake Developer Village Innovation Sharing Session - AI Empowers Enterprise Quality Management Innovation Seminar" was successfully held. The event was jointly organized by Xiwicloud, Dongguan High-Tech Industry Association, and Songshan Lake Developer Village. More than 40 enterprise representatives from the new energy and high-end equipment industries gathered to engage in in-depth discussions on the deep integration of AI technology with industrial quality management, jointly exploring new data-intelligence-driven quality management models.

During the event, Zhang Jun, AI Developer Technical Support Expert from Huawei Cloud's Global Ecosystem Department, delivered a keynote speech titled "Trend Insights: DeepSeek Large Model Observations and Industry Analysis." Combining AI technology development trends with DeepSeek large model practices, he pointed out that AI will be implemented in over 50% of core industry scenarios within the next two years, emphasizing that technology applications are shifting from "technology-driven" to "demand-driven."

Peng Shan, CTO of Xiwicloud, presented on the theme "Industrial Software + Big Data + DeepSeek Large Model Empowers AI Applications in Manufacturing." He provided a profound analysis of current pain points in industrial big data analysis, including data silos, complex modeling, and poor scenario adaptability. Focusing on key manufacturing sectors such as new energy, semiconductors, and high-end equipment, Peng Shan detailed how enterprises can precisely embed AI technology into quality control scenarios to develop comprehensive intelligent solutions spanning from quality prevention to process control.

Xiwicloud remains committed to breaking down barriers between technology and business. Through the implementation path of "technological toolization, tool scenarioization, and scenario valuization," the company transforms cutting-edge AI capabilities into actionable, executable enterprise-level quality management solutions. This approach genuinely helps manufacturing clients enhance the scientific nature of quality decision-making and management efficiency, providing innovative yet practical technical support for industry-wide quality upgrades.

During the interactive discussion session, participants engaged in lively debates around application challenges of AI technology in quality management. Addressing issues such as data security compliance, model iteration optimization, and business scenario adaptation, representatives explored solutions in depth to help build a "zero-defect" quality management system.

Looking ahead, Xiwicloud will continue to deepen the integration and innovation of industrial quality management software and AI technology. The company will persistently empower advanced manufacturing enterprises to construct data-driven new quality management systems, facilitating comprehensive quality management upgrades from R&D design to production manufacturing. This effort will inject technological momentum into the high-quality development of manufacturing in Dongguan and across China.