On December 3, the Nanning Ding Summit, hosted by DingTalk, was held in Nanning, Guangxi. The event brought together hundreds of representatives from government, enterprises, education, and other sectors to discuss the deep application of artificial intelligence technology in the digital and intelligent transformation of businesses. Peng Qiwen, Data Governance Manager at the Digital Intelligence Development Center of Liugang Group, and Wei Yongjun, Director of the Information Center at Liuzhou Railway Vocational Technical College, were invited as outstanding representatives of local enterprises and institutions to share their practical experiences.

Guangxi Accelerates “Smart Transformation and Digital Upgrading”
In recent years, Guangxi has ridden the wave of the technological revolution, continuously increasing investment in digital infrastructure to accelerate and upgrade its “smart transformation and digital upgrading” initiatives. Last year, 57 projects from Guangxi were selected for the Ministry of Industry and Information Technology’s list of digital transformation model cases and 5G factories. Against this backdrop, DingTalk has become an increasingly important platform for Guangxi enterprises to achieve digital and intelligent transformation and embrace artificial intelligence technologies.

DingTalk Powers Industrial Transformation Across Guangxi
As a smart collaborative office platform with 700 million users and 26 million enterprise organizations, DingTalk has become deeply integrated into Guangxi’s economic development. More than one-quarter of Guangxi’s top 100 enterprises are using DingTalk, covering key industries such as manufacturing, transportation, education, and energy—including large central state-owned enterprises like Guangxi Beibu Gulf International Port Group Co., Ltd.
In his speech, DingTalk Vice President Zhao Zhong said, “Today, AI is no longer a distant technological concept—it is a real transformation happening in workshops and classrooms across Guangxi, helping businesses solve their most practical problems. DingTalk will continue to serve every enterprise in Guangxi, enabling them to enter the AI era more quickly, at lower costs, and in a lighter, more agile way—finding the work style that best fits their unique needs.”

Liugang Group: From Smooth Information Flow to AI-Powered Production
As a Fortune China 500 company and a major steel producer in Southwest China, Liugang Group has been steadily advancing its digital transformation. According to Peng Qiwen, Data Governance Manager at the Digital Intelligence Development Center, in the past, information transmission was delayed due to the wide distribution of employees. Today, thanks to DingTalk’s message-penetration capabilities, critical notifications can be delivered directly to frontline teams, ensuring seamless information flow. After fully integrating with DingTalk, the group has achieved online collaboration across all employees, all organizations, and all processes. Approval workflows, attendance tracking, meetings, and project management are now handled on a single platform, significantly improving internal operational efficiency.
At the same time, Liugang Group is actively exploring the application of AI in production management. Its equipment inspection and early-warning system uses AI-powered image recognition to automatically assess equipment conditions and sends real-time alerts via DingTalk bots when anomalies are detected—shifting the focus from “people searching for problems” to “problems finding people.” In human resources, an AI-powered Q&A assistant built on DingTalk helps new employees quickly access job specifications and safety protocols through natural language queries, shortening the training period. In the future, AI will also be used to generate weekly reports and summarize meeting minutes, gradually becoming managers’ “digital assistants.”

Liuzhou Railway Vocational Technical College: Building a Smart Campus with DingTalk
As a national exemplary vocational college, Liuzhou Railway Vocational Technical College is at the forefront of digital reform in vocational education. Director of the Information Center Wei Yongjun noted that the high mobility of students and the wide distribution of internships make traditional management models difficult to handle. DingTalk’s unified platform has helped the school implement a “one campus, one platform” approach, bringing all faculty and students into a single organizational structure. Teaching schedules, internship management, leave approvals, and dormitory inspections are now all conducted online.
The school has also used DingTalk’s Yida platform to build a “dual-qualified” teacher growth-dossier system, which records multidimensional data such as teaching achievements, corporate internships, and research projects, providing a scientific basis for faculty development. AI capabilities have also been deeply embedded in teaching and administration: teachers can use DingTalk’s AI assistant to generate classroom feedback reports with a single click, while the system automatically analyzes attendance, engagement, and homework performance and offers improvement recommendations. For students about to begin internships, AI uses tags based on their major, grades, and skills to recommend suitable positions, then pushes these suggestions to both students and their mentors via DingTalk messages.
“This is not just an efficiency tool—it is also a reflection of educational equity, ensuring that every student receives personalized attention and support,” Wei Yongjun emphasized.

Toward a Smarter, More Efficient Future
From steel giants to vocational colleges, from production lines to classrooms, more and more enterprises and organizations in Guangxi are reimagining their working methods through DingTalk, moving toward a smarter, more efficient, and more agile future. In this new wave of industrial transformation, the digital foundation that DingTalk provides for the AI era will continue to inject strong digital and intelligent momentum into Guangxi—and the broader Southwest region—for high-quality development.

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