The pressure towards the transformation of the AI company gained significant dynamics at the recent cloud industry Huawei in Shanghai, where the company outlined its strategy to help enterprises across sectors to integrate artificial intelligence into their operations.
The event, which took place during the Huawei Connect 2025, combined hundreds of executives from the government, finance, production, retail and other industries to discuss the practical implementation of AI.
Huawei Cloud’s approach focuses on solving a basic challenge that many organizations face: overlapping AI experiments on practical applications generating value.
Charles Yang, senior vice president Huawei and President Huawei Cloud Global Marketing and Sales Services, emphasized this focus during his introductory address. “For full use of AI companies, they require platforms for data, models and applications to cooperate to create a new value and achieve a jump on intelligence,” Yang said, noting that the AI company’s capabilities were deployed in more than 500 scenarios in more than 30 industries.
Proven results across production and public services
The summit emphasized several implementations that show a measurable impact of business. In the production of Shanghai Baow, Steel has deployed the Pangu Huawei model to improve the predictions of beat production, and achieve a 5% increase in accuracy, which was reflected in 90 million CNY in other annual income for production line.
This example illustrates how business AI transforms into traditional industries can bring quantifiable revenues. The public sector also saw remarkable applications. The Chile National Library was used by Huawei Cloud Ai Compute Service to develop the first bilingual virtual person in English and Spanish in Latin America and provided visitors to cultural tours and interpretation services of heritage.
In retail, Rainbow “Lark Retail model” developed on a Pang model and applied it to help AI employees and market operations.
Four pillars of industrial intelligence
Joy Huang, vice president of Huawei Cloud, outlined the company’s innovation framework during his main language called “accelerating intelligence with Huawei Cloud”. The strategy focuses on four key areas: cloud architecture, methods and processes, solutions and operational perfection.
The Cloud Architecture Component component includes cloud stack Huawei for hybrid cloud infrastructure, cloudpond for deployment Edge Computing and Cloudobo, embodied AI platform, which is designed to improve robotic intelligence and decision -making skills. The aim of these offers is to provide flexibility for organizations with various infrastructure requirements.
On the method of the methodology, Huawei Cloud developed the Enterprise Architecture Bench (EAB) bench and outlined the seven -speed process of implementation. The steps include AI design at high levels, identifying high -value scenarios, architecture and transformation of processes, data and knowledge engineering, model design and verification, integrating business operations and continuous operations and management.
This structured approach reflects a lesson gained from its own experience with the company’s digital transformation.
A complex portfolio of solutions
The Summit also meant official launch of 12 solutions adapted to global markets, including government data, solutions for financial risk management and Techsun Social Hub.ai.
Specifically, for the Chinese market, Huawei Cloud introduced additional offers such as the game commitment, cloud -intelligent cloud service and ai pharmaceutical research solution.
The width of these solutions reflects the diverse requirements of various sectors undergoing business transformation AI. For example, financial institutions can use intelligent risk and marketing control solutions, while car companies have access to intelligent cloud services.
TRACKS IN THE TRAVEL AND ACCEPT CUSTOMERS
Huawei Cloud showed significant adoption numbers and noted that the platform had selected more than 500 financial institutions, 500 retail and electronic companies and 90% of Chinese Internet companies.
In the last two years, the team of the company’s excellence has worked with customers on more than 200 projects and focused on building durable and intelligent business operations.
Several clients shared their experience at the summit. Jun, Deputy Director of the Intelligent Digitization Institute at the XCMG Research Institute, discussed progress in unmanned vehicles and autonomous operations and the location of XCMG machines as embodied AI robots for intelligent mining equipment.
Faraz Arshad, the CTO of Starzplay, attributed scalp and intelligent capabilities without Huawei Cloud to allow the development of a high -performance platform for content distribution that improved the user experience in the Middle East market.
Anders Freitas, a cloud specialist at Unibanco, Brazil, emphasized security and automation capabilities that accelerated the migration of the bank’s cloud.
Mi Qipei, Chief Product Director of Gaoding (Xiamen), explained how the company uses the Huawei Cloud AI Token Service and Modelarts Studio to power the multimodal model for creativity designers.
Journey ahead of us for industrial intelligence
The summit emphasized the wider trend in corporate calculations: shift from AI tools to general purpose to deal with specific industries that solve specific business challenges. As the organization moves beyond the projects of evidence of concept, the focus has changed on the integration, management of public and measurable things.
Huawei Cloud’s emphasis on methodology and operational perfection together with technological platforms reflects this maturation. The company’s obligation to dive deeper into industries and innovation across architecture, processes and tools indicates a long -term strategy focused on permanent transformation of business AI than short -term technological trends.
For the AI strategies, they offer examples presented at the Summit by a number of implementation models in various sectors and cases of use. Whether the aim is to improve production efficiency, increasing customer experience or allowing new services, emphasis remains on practical applications that provide tangible business value.
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