Together we embrace the data journey! This seminar decodes new approaches to digital quality management

Publisher:SivitechRelease time:2025.10.28

On October 24, the "Visit to Huawei – Songshan Lake Developer Village Innovation Sharing Conference: Industrial Big Data Driving Quality Management Innovation Seminar," jointly organized by the Dongguan Association of High-Tech Industries, Songshan Lake Developer Village, Guangdong Hengyineng Technology Co., Ltd. (hereinafter referred to as "Hengyineng"), and Xiwi Tech (Dongguan) Co., Ltd. (hereinafter referred to as "Xiwi Tech"), was successfully held.


The event brought together over 30 corporate representatives and industry experts for on-site participation, while also being live-streamed online, attracting nearly 300 industry professionals to watch virtually. The attendees engaged in in-depth discussions on "Building a Data-Driven New-Generation Full Lifecycle Quality Management System." Through the sharing of specific cases, the seminar provided practical implementation pathways and tool support for enterprises advancing the digital transformation of quality management.


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Li Jiahua, a senior digital transformation expert at Huawei, systematically shared Huawei's digital transformation practices centered on the theme of "Digital Transformation, Empowering Industrial Upgrade." She emphasized that transformation must be anchored in business strategy, grounded in data as the core foundation, and oriented toward intelligent development. She also delved into how digital technologies support business transformation and provide new momentum for the digital transformation of the manufacturing industry. During her presentation, she detailed the core technological advantages of Huawei Cloud's digital transformation philosophy, data management for enhancing enterprise intelligence, and the integration of business and technology. She also explained how Huawei, leveraging its own transformation experience, helps enterprises break down data barriers to ultimately improve customer experience and efficiency.


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Chen Angui, the primary lead for quality at Hengyineng, delivered a presentation on "Practices and Innovation in Digital Quality Management." Drawing on his practical experience in the new energy manufacturing sector, he elaborated on methods for enterprises to build a digital quality management system. The establishment of a comprehensive quality management system starts from the data collection end. By monitoring key indicators in the production process in real time, the QMS management system integrates multiple internal management platforms, enabling timely detection and resolution of quality issues and effectively reducing defect rates. His presentation provided replicable practical examples for the attending enterprises.


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Peng Shan, CTO of Xiwi Tech, provided an in-depth explanation on the theme of "New-Generation Full Lifecycle Quality Management + Big Data + AI Analysis" and explored how this integrated model can unlock the "key meridians" for enterprises' high-quality development. He pointed out that deeply integrating the concept of full lifecycle quality management with big data and AI technologies can comprehensively cover the entire process of product R&D, production, supply, sales, and service. This not only enables early warning of quality issues and precise root cause analysis but also drives a fundamental shift in quality management from traditional "reactive firefighting" to proactive "preventive measures."


During the subsequent discussion session, corporate representatives engaged in lively exchanges on the "Efficient Application of Industrial Big Data in Quality Management." Drawing on industry practices, the guests explored real-world challenges in quality management and innovative solutions. The on-site discussions were thorough and constructive, further solidifying industry consensus on the development path of data-driven quality management.


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Looking ahead, Xiwi Tech will continue to focus on the integrated innovation of "New-Generation Full Lifecycle Quality Management" with big data and AI technologies. It is committed to helping advanced manufacturing enterprises build data-driven quality management systems and, in collaboration with industry partners, injecting strong momentum into the high-quality development of "Made in China."



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