Huawei Cloud has deployed artificial intelligence solutions across more than 30 sectors encompassing 500 distinct use cases, the company announced at its annual industry event in Shanghai. The expansion demonstrates the accelerating integration of AI technologies into traditional industries, from steel manufacturing to financial services, as enterprises seek competitive advantages through machine learning and intelligent automation.
The deployment scale reflects growing enterprise confidence in cloud-based AI platforms capable of addressing sector-specific challenges. With contracts spanning over 500 financial institutions, 500 retail and e-commerce companies, and 90% of Chinese internet firms, Huawei Cloud has established itself as a significant player in the enterprise AI infrastructure market.
Pangu Model Powers Industrial AI Transformation
Charles Yang, Senior Vice President of Huawei and President of Huawei Cloud Global Marketing and Sales Services, articulated the company’s vision for AI integration: “AI is reshaping industries and our lives. To fully harness AI, businesses require platforms for data, models and applications to work together to generate new value and achieve the leap to intelligence.”
This integrated platform approach has delivered measurable results in heavy industry applications. At Shanghai Baowu Steel, deployment of Huawei Cloud’s Pangu model increased hot rolling production prediction accuracy by 5%. The improvement translates to an annual revenue increase of CNY90 million (approximately $12.4 million USD) for each production line at the facility.
The Pangu model represents Huawei’s foundation model strategy, offering pre-trained capabilities that can be customized for industry-specific applications. This approach reduces the computational resources and training time required for enterprises to implement AI solutions, making advanced machine learning more accessible to organizations lacking extensive in-house AI expertise.
Financial Services and Retail Sectors Drive Enterprise AI Adoption
The financial services sector has emerged as a major adopter of Huawei Cloud’s AI infrastructure, with over 500 institutions implementing various solutions. These deployments span risk management, fraud detection, customer service automation, and intelligent marketing applications.
Anders Freitas, Cloud Specialist from Itaú Unibanco in Brazil, confirmed that Huawei Cloud has built infrastructure with security and automation capabilities supporting the bank’s cloud migration initiatives. The financial sector’s stringent security and compliance requirements make such partnerships significant indicators of platform maturity and enterprise readiness.
In retail and e-commerce, Rainbow has developed the Lark Retail Model using Pangu as its foundation. The model operates in employee AI assistant functions and market operations, addressing the sector’s need for intelligent customer engagement and operational efficiency tools.
Mi Qipei, Chief Product Officer of Gaoding (Xiamen) Technology, explained the company’s use of Huawei Cloud AI Tokens Service to create an AI-driven creativity community for designers: “ModelArts Studio, Huawei Cloud’s Model as a Service (MaaS) platform, delivers stable, robust compute to power Gaoding’s multimodal model, a big move to revolutionise designer inspiration and design processes.”
Public Sector Applications Showcase AI Accessibility
Beyond commercial deployments, Huawei Cloud has demonstrated AI’s potential in public services and cultural institutions. The National Library of Chile utilized Huawei Cloud AI Compute Service to create Latin America’s first bilingual virtual human, offering services in English and Spanish. The virtual assistant provides cultural tours and heritage interpretation to library visitors, illustrating how AI can enhance public access to cultural resources.
These public sector implementations reflect a broader trend toward AI democratization, where organizations with limited technical resources can leverage cloud platforms to deploy sophisticated AI applications. The success of such projects may encourage other public institutions to explore AI-enhanced service delivery models.
Infrastructure Solutions Address Hybrid and Edge Computing Needs
Joy Huang, Vice President of Huawei Cloud, stated: “In the AI era, Huawei Cloud leads as the pioneer in AI compute and technologies and empowers every customer to become an intelligence pioneer too in their own industry.”
Huawei Cloud offers infrastructure solutions across four technical areas: cloud architecture, methods, processes and tools, solutions, and operational excellence. The Huawei Cloud Stack provides hybrid cloud infrastructure for mission-critical operations in finance and other sectors requiring this capability, addressing enterprises’ need to balance cloud benefits with on-premises control.
CloudPond functions as an edge cloud solution with integrated hardware and software. The system allows cloud services to be deployed at customer locations, addressing operational efficiency requirements and local data integrity concerns. This edge computing approach reduces latency for applications requiring real-time processing while maintaining data sovereignty compliance.
CloudDevice uses cloud-device collaboration to transfer computational tasks away from endpoint devices, reducing their processing load. The CloudRobo platform applies cloud computing and AI models to enhance robot intelligence and decision-making functions, targeting the growing industrial automation and robotics sectors.
Enterprise Architecture Methodology Guides AI Implementation
Huawei has developed Enterprise Architecture Bench (EAB) in collaboration with customers, partners, and industry experts. The methodology encompasses seven steps: AI high-level design, high-value scenario identification, architecture and process reshaping, data and knowledge engineering, model design and verification, business operation integration, and continuous operations and governance.
This structured approach addresses a common challenge in enterprise AI adoption—translating technical capabilities into business value. By providing a framework for identifying high-value use cases and integrating AI into existing business processes, EAB reduces implementation risks and accelerates time-to-value for AI investments.
The operational excellence and customer success team has completed over 200 projects across two years, implementing architectural frameworks with customers across different sectors. This hands-on experience has refined the methodology and built case studies demonstrating practical AI applications across industries.
Industry-Specific Solutions Span Global and Regional Markets
Huawei Cloud offers solutions tailored to both global and Chinese markets, reflecting different regulatory environments, technical requirements, and industry priorities. Global solutions include Government Data Enablement, Financial Risk Management, Intelligent E-commerce Search and Recommendation, and platforms for social media analytics and cross-industry AI data infrastructure.
For the Chinese market, the company provides Game Deployment Solution, CloudVeo Intelligent Driving Cloud Service, Intelligent Financial Risk Control Solution, Financial Intelligent Marketing Solution, AI Pharmaceutical Research Solution, AI CITY, AI Trusted Data Space, and Corporate Cloud offerings.
This dual-market approach allows Huawei Cloud to address region-specific requirements while maintaining a unified technology platform. The strategy reflects the company’s ambition to serve both domestic Chinese markets and international customers despite ongoing geopolitical complexities affecting technology supply chains.
Advanced Manufacturing and Mining Sectors Embrace AI-Enabled Equipment
Ji Jun, Deputy Director of the Intelligent Digitalisation Institute at XCMG Research Institute, has made progress in unmanned vehicles and autonomous operation through work with Huawei Cloud, establishing groundwork for transforming XCMG machinery into embodied AI robots for the intelligent mining equipment sector.
This application illustrates AI’s potential to transform heavy equipment from mechanical tools into intelligent systems capable of autonomous decision-making. Such developments could significantly impact industries like mining and construction, where autonomous equipment promises to improve safety, efficiency, and operational precision.
Content Distribution and Streaming Services Leverage Cloud AI
Faraz Arshad, CTO of Starzplay, stated: “With its serverless scalability, solid cloud foundation, and advanced intelligent capabilities, Huawei Cloud has enabled Starzplay to develop a high-performance content distribution and intelligent operations platform.”
The streaming and content distribution sector’s adoption of Huawei Cloud demonstrates the platform’s capability to handle high-bandwidth, low-latency applications requiring intelligent content recommendation and delivery optimization. These use cases stress-test cloud infrastructure in ways that validate performance for less demanding applications.
The expansion to 500 use cases across 30 sectors positions Huawei Cloud as a comprehensive enterprise AI platform capable of addressing diverse industry requirements. The company’s approach—combining foundation models, industry-specific solutions, infrastructure flexibility, and implementation methodology—reflects an understanding that successful AI adoption requires more than raw computational power.
As enterprises across sectors continue digital transformation initiatives, cloud AI platforms like Huawei’s will play increasingly central roles in determining which organizations successfully leverage artificial intelligence for competitive advantage. The breadth of current deployments suggests the technology has moved beyond experimental phases into production applications generating measurable business value.