[Shanghai, September 17] At HUAWEI CONNECT 2025, Huawei hosted the Global Public Sector Cloud and AI Technical Forum, themed "Leading Technologies Enabling Public Sector Cloud & AI". Digital economy leaders from Asia, Africa, the Middle East, and Latin America gathered in Shanghai to share their visions for digital transformation and best practices in cloud-based governance. At the event, Huawei Cloud Stack released over 70 cloud and AI scenario-based solutions for the government industry across 18 different domains, accelerating the global implementation of AI applications and promoting innovation across the public sector.
Against the backdrop of fast-paced AI development, more than 60 countries have introduced national AI strategies, collectively issuing over a thousand related initiatives. Governments and enterprises worldwide are increasingly aligned in recognizing the pivotal role of cloud and AI in reshaping models of national governance and modernizing public services. Sean Xiao, Vice President of Huawei Cloud and President of Huawei Hybrid Cloud, stated in his speech that "Huawei Cloud is closely aligned with global trends and continues to deepen its presence in the public sector, now supporting over 400 projects worldwide with partners. Looking ahead, Huawei Cloud will strengthen its cloud foundation, accelerate data digitization, and enhance AI model engineering capabilities, working with clients to explore advanced scenarios and business models, and drive the implementation of national and government digital blueprints."
Sean Xiao, Vice President of Huawei Cloud and President of Huawei Hybrid Cloud
Building a Reliable Government Cloud Foundation
As many countries are going cloud native, the construction of secure, compliant, and efficient government clouds remains a significant challenge. Liu Xinhua, CTO of Industry Management of Huawei Hybrid Cloud, stated, "Leveraging over 120 cloud services provided by Huawei Cloud Stack, we have built a resilient national cloud foundation. By integrating native AI capabilities such as data lake fusion, big data governance, and Pangu models, we deliver comprehensive digital solutions across sectors and scenarios, fully supporting governments in accelerating public service innovation and smart governance, and driving the realization of national digital transformation."
Liu Xinhua, CTO of Industry Management, Huawei Hybrid Cloud
Data-AI Convergence, Driving Digital and Intelligent Upgrade of Governments
Data has become a core asset in the public sector. As data types diversify and application scenarios expand, deep integration and value realization are emerging as key drivers of industry transformation. At the forum, Mr. Cao Xiaobing, General Manager of Government Industry in Huawei Hybrid Cloud, remarked: "Data is evolving through three key phases, from sharing and exchange, to enhanced governance, and now to deep integration with AI, unlocking greater value at each stage. Powered by an integrated government data platform, Huawei Cloud Stack brings together five core capabilities: data infrastructure platform, data collection platform, data governance platform, data security platform, and data services platform. This enables governments to build a high-quality, interoperable data foundation, accelerating value creation and driving a comprehensive upgrade in smart governance."
Cao Xiaobing, General Manager of Government Industry, Huawei Hybrid Cloud
AI Fuels Industrial Advancement
As AI continues to evolve, governments around the world are accelerating the establishment of national AI centers and exploring AI-powered industrial upgrades. "Full-stack AI is emerging as a new engine for government digitalization and industry transformation," Wang Rongshi, Senior Product Expert for Huawei Cloud Large Models, stated at the forum. "Based on end-to-end synergy across computing power, models, tools, and applications, Huawei Cloud Stack offers flexible deployment options, including hybrid cloud for foundation models, on-premise training, and external inference. It supports the development of sovereign AI foundation models, accelerating intelligent public services and industrial advancement."
Wang Rongshi, Senior Product Expert for Huawei Cloud Large Models
During the panel, representatives from Huawei, HKPC (Hong Kong Productivity Council), Cogfy, Audaque, and Epoint discussed the technical practices of AI in the public sector. The panel explored key topics including typical application scenarios of AI in government services, implementation outcomes and challenges, the development of large models and data sovereignty, and how to promote inclusive growth of local AI technologies. The speakers emphasized that advancing AI in public services requires not only cutting-edge technologies and robust data governance, but also close collaboration among user institutions, technology providers, and service partners. Only through such synergy can we truly realize "AI for People" and drive innovation in public services and governance models.
"Technical AI Implementation in Public Sector" Panel
At the end of the forum, Huawei Cloud Stack, together with over ten partners, officially launched the "Take a Cloud Leap to Intelligence Governance" global initiative. This effort aims to harness Huawei's leading expertise in cloud and AI to accelerate digital transformation and intelligent development in public sectors worldwide. By driving the adoption of innovative applications, building open ecosystems, and deepening local collaboration, Huawei seeks to work with global partners to explore new methods of industry growth and support sustainable development and long-term prosperity across nations.
Initiation of "Take a Cloud Leap to Intelligence Governance"
With continuous technological innovation and extensive industry experience, Huawei Cloud Stack has become the preferred choice for over 5,500 government and enterprise customers worldwide. Looking ahead, Huawei Cloud Stack will join with governments and industry ecosystems across the globe to embrace an intelligent future and co-create a new chapter of sustainable development.