Português
EnglishOn July 8, the 2026 DingTalk Summit—Xiamen Station, themed "Work Models in the AI Era," was successfully held. Hosted by DingTalk and guided by the Xiamen Software Industry Association, the event brought together representatives from over a hundred companies across industries such as smart technology, biomedicine, and high-end manufacturing. Together, they focused on the practical application of artificial intelligence in real-world business scenarios, delving into the transformation path from "tool-driven efficiency" to "organizational innovation."
Policy Drives Accelerated Integration of AI with Industries
In his opening remarks, Yuan Wei, DingTalk’s Regional Director for Fujian and Jiangxi, highlighted that both the Fujian Provincial Government and the Xiamen Municipal Government have recently introduced numerous industrial support policies, sending a strong signal of commitment to advancing artificial intelligence.
In February 2025, the Fujian Provincial Government set an ambitious target: by the end of 2026, it aims to increase the digital economy's share of GDP to 57%. As the province's leading city in AI development, Xiamen also unveiled its "Artificial Intelligence Industry Development Plan (2025–2027)" that same year, planning to exceed RMB 60 billion in core AI industry scale by 2027 while fostering at least 500 key enterprises.
Building an End-to-End AI Ecosystem Loop
To capitalize on these policy benefits, Alibaba Group is steadily deepening its AI strategy. Yuan Wei stated, "Alibaba has established a complete AI closed-loop system, spanning foundational computing power, large-scale base models, and upper-layer application ecosystems. As a core platform serving enterprise customers, DingTalk’s role is clear: to integrate AI technologies into daily business operations and reshape work models in the AI era."
An Overview of DingTalk’s AI Capabilities and Transformation Strategies
DingTalk’s AI Solutions Expert, Wang Junbo, provided a detailed overview of the platform’s technical architecture and implementation roadmap. Using manufacturing production scheduling as an example, he explained that tasks once requiring hours of collaboration between order followers and engineers can now be handled in just 5 to 10 minutes by handing a multilingual, non-standard order to the AI system. The system automatically processes data extraction, BOM matching, inventory checks, and outputs a production schedule. Additionally, the AI Table feature quickly consolidates disparate data formats into structured information, while the Yida platform empowers business users to generate executable systems simply through natural language commands.
Beyond showcasing technology, Wang Junbo emphasized the strategic mindset required for enterprises adopting AI. He noted that the role of corporate IT departments will shift from "system development" to "tool selection, employee empowerment, and risk management." Key priorities include choosing suitable solutions, training frontline staff, and ensuring data security. Success in this transformation can be measured by three indicators: whether employees are genuinely using AI tools; whether domain knowledge is being captured as reusable assets; and whether the time from concept to system deployment has significantly decreased.
Real-World Case Studies Shared by Enterprises
At the summit, representatives from three companies shared their hands-on experiences with AI implementation from different perspectives.
Luo Yaying, Director of the Information Center at China Investment Intelligent Technology, described how her company pioneered full-chain automation—from meeting recording and intelligent transcription to task assignment and follow-up tracking—and deeply embedded AI into its internal training framework. This approach enables intelligent iteration and improvement of instructor evaluations and teaching quality, significantly enhancing management efficiency and standards.
In terms of intelligent agent applications, China Investment Intelligent Technology independently developed two innovative tools—the "Digital Avatar" and the "Meeting Elf"—which seamlessly integrate with DingTalk’s AI platform. "AI is no longer a distant concept but a readily available productivity engine," Luo emphasized. "Our goal is to evolve artificial intelligence from a supporting tool into the foundational infrastructure for corporate digital transformation."
Chen Minjun, Head of Informatization at Baotai Biotechnology, explained that her company’s R&D centers span four locations, with scattered documentation and frequent redundant inquiries consuming substantial manpower. To address this challenge, Baotai built a dedicated AI assistant named "AiBao" on DingTalk, integrating thousands of SOPs and administrative policies. Employees now turn to AiBao first when facing questions, rather than seeking out individuals. Beyond back-office support, AI is gradually extending to front-line operations: given the stringent compliance requirements for medical devices, the system helps staff pre-review documents and identify potential issues ahead of time.
Looking ahead, Baotai is collaborating with DingTalk to explore applying AI to operational data analytics, supporting senior management decision-making. Chen noted, "The purpose of AI is not to replace people but to augment human capabilities. We aim to equip every colleague with a personal 'digital advisor'."
Xu Wanshun, CIO of Aien Technology, pointed out that by integrating DingTalk Teambition with the PLM system, his company streamlined its IPD R&D process into three-tier templates—A, B, and C—alongside over 200 standardized tasks. Upon project initiation, work assignments can now be automated with a single click, boosting efficiency by more than 60%. Deeper changes are evident in performance management: the system automatically calculates performance scores based on task completion data and links them to compensation, eliminating manual intervention for 20% of performance bonuses. Furthermore, DingTalk AI analyzes meeting transcripts and collaborative behaviors, shifting evaluation from a "results-only" focus to one that quantifies contributions and ensures traceability of processes.
Deepening Regional Services to Support Enterprise Digital Transformation
This DingTalk Summit not only served as a vital engagement with local industry clusters but also underscored DingTalk’s unwavering commitment to advancing localized services. Moving forward, DingTalk will continue to prioritize solving real-world problems, rooting itself firmly within Fujian’s industrial ecosystem. By combining AI-powered tools with long-term, hands-on support, DingTalk aims to help more businesses identify tailored paths toward digital transformation, turning pioneering experiences into everyday practices for organizations nationwide.
DomTech is DingTalk’s official service provider in Macau, dedicated to delivering comprehensive DingTalk solutions to clients. For more information about DingTalk platform applications, please contact our online customer service or reach us by phone at +852 95970612 or via email at [email protected]. With a skilled development and operations team and extensive market experience, we’re ready to provide you with professional DingTalk solutions and services!