Looking back at the development of cloud computing, it is not difficult to find that cloud computing has gradually evolved from a simple role as IT support in the early days to a fundamental driving force for technological innovation, economic growth and social progress. Nowadays, with the rapid development of AI, especially the emergence of new technologies such as ChatGPT, cloud computing is once again at the forefront of the tide and leading the times. The proposal of the concept of new quality productivity means that the deep integration of the new generation of information technology represented by cloud computing and AI with traditional industries will become an important force to promote industrial innovation.
Enterprises are seeking to promote industrial transformation and upgrading through digital means, especially central state-owned enterprises. According to some reports, improving operational efficiency, enhancing innovation capabilities, responding to market competition, and responding to customer needs have become the most important forces driving enterprise transformation.
However, the "Report on the Digital and Intelligent Transformation and Development of Central State-owned Enterprises (2024)" released by the China Academy of Information and Communications Technology (CAICT) mentioned that nearly half of the central state-owned enterprises are in the early stage of transformation, that is, the stage of cognitive exploration and unit practice, accounting for 46.5%. Nearly 4 percent of central state-owned enterprises are in the intermediate stage of transformation, that is, the stage of field innovation and comprehensive transformation, accounting for 39.6%. Only 10% of central state-owned enterprises are in the advanced stage, that is, the leading stage.
In this context, Whale Cloud has built a cloud service ecosystem and product system for the era of AI innovation to help enterprises accelerate the embrace of new technologies. Zhang Zhengfeng, general manager of the cloud service business group, said that this is not only a comprehensive leap in the capability and quality of enterprise cloud services, but also an initiative to respond to customer needs by grasping the pulse of the development of the digital economy.
As an independent third party, MSPs can recommend the best cloud solutions according to the actual needs of customers, simplify the cloud migration process of enterprises, reduce technical complexity, especially under the needs of multi-cloud coexistence, help enterprises seamlessly integrate different cloud platforms, realize unified management and scheduling of cross-cloud resources, make full use of the advantages of each cloud, and reduce the risk of technical heterogeneity.
Zhang Zhengfeng said that as a professional cloud MSP service provider, Whale Cloud is actively engaged in building a cloud service ecosystem that adapts to the needs of today's AI innovation era while continuously improving its product system.
In cooperation with Alibaba Cloud, Whale Cloud has made full use of Alibaba Cloud's cloud computing infrastructure and service capabilities, combined with its own deep accumulation in industry solutions, to jointly create a number of industry benchmark cases, helping enterprise customers achieve intelligent upgrades in industries such as finance, energy and power, smart cities, universities, and pan-retail.
The cooperation with Tencent Cloud further broadens the service boundaries of Whale Cloud, and the two parties work together to optimize the cloud application development, deployment, and operation and maintenance processes, improve the response speed and stability of services, and bring a smooth digital experience to end users. By obtaining the advanced certification of Tencent's system, Whale Cloud has demonstrated its professionalism and reliability in cloud service delivery, laying a solid foundation for deepening the cooperation between the two parties. At present, a series of digital projects such as Ruji University are being actively promoted.
Through close cooperation with ByteDance Volcano Engine, the expansion of some markets has been completed, and Whale Cloud has become the most important ecological cooperative enterprise in the Volcano Engine delivery business.
In terms of the development and application of popular large models, Zhang Zhengfeng mentioned that unlike mainstream Internet platform companies such as Alibaba Cloud that develop general large models, Whale Cloud is continuing to focus on the research and development of large models in vertical industries to help customers achieve the rapid development and deployment of professional large model needs. This differentiation creates a broader basis for in-depth cooperation between the two parties.
According to the White Paper on Cloud Computing (2023) of the Academy of Information and Communications Technology, cloud computing is the core of the engineering implementation of large model training and is becoming the central operating system of the digital world.
In the face of huge market demand, the most critical and challenging stage to promote the implementation of digital transformation is the "last mile" from theoretical planning, technology development to practical application and practical results. This stage involves how to truly integrate advanced technologies, systems, and platforms into the actual operation of the organization to ensure that they can effectively improve business efficiency, optimize user experience, and create new value points.
Zhang Zhengfeng introduced that with the wide application of large models in various industries, the market demand for cloud services is also rising, which brings a broader development space for the cloud market. The Whale Cloud MSP team is actively exploring the possibility of cloud business in terms of large models, that is, the "last mile" of enterprise applications. Focusing on the fine-tuning, data processing and annotation of large models of enterprises, from methodology to platform tools and product solutions, it is accelerating iteration, and helping customers achieve enterprise-level application landing with excellent technology and service capabilities.
Iron also needs to be hard. Since its establishment in 2003, Whale Cloud has been focusing on the business of communication operators, and in the process of cooperation with the three major operators, the demand for agile deployment and low-cost development has gradually become prominent, and it has begun to undertake some proprietary cloud needs. After the injection of Internet genes in 2018, Whale Cloud has quickly integrated with cutting-edge technologies such as cloud computing, big data and artificial intelligence with its profound ICT heritage, and has worked with government and enterprise customers to jointly implement a wide range of digital transformation and cloud projects, from front-end consulting, cloud architecture design, cloud migration, delivery, operation and maintenance, security, to the construction of scenario application capabilities on the cloud, rich full-stack cloud service capabilities and experience, so that Whale Cloud has always been in a leading position in the industry.
At the same time, in order to do a good job in the "last mile", Zhang Zhengfeng mentioned that Whale Cloud has also launched a small model solution on the basis of large model platform technology. With its focus and efficiency, small models are becoming the choice of enterprises to meet the needs of specific application scenarios. This not only precisely meets the actual needs of the company, but also demonstrates excellent operational performance on a small scale. It enables enterprise-level users to quickly build and deploy their own proprietary models to achieve automated and intelligent machine construction. Enterprises do not need to invest too much energy and cost in training, research and development of underlying technologies, and can quickly complete the "last mile".
The large model has become an important starting point for industrial innovation and unlocking new quality productivity, which has also had a substantial impact on Whale Cloud's cloud product system and cloud service capabilities.
In terms of cloud product system, Zhang Zhengfeng believes that AI large model technology is reshaping Whale Cloud's cloud product service system and promoting the cloud product system to move rapidly towards a high level of intelligence and automation. The intelligent monitoring system can analyze massive amounts of data in real time, identify potential system bottlenecks or anomalies, and automatically trigger preventive maintenance measures, greatly reducing the risk of service interruption due to failures. At the same time, combined with advanced machine learning algorithms, it can learn independently from past experience and data, continuously optimize decision-making logic, and realize the efficient integration and utilization of data and experience.
More importantly, based on AI large model technology, Whale Cloud has explored rich application scenarios in many industries, especially in vertical fields such as communication operators, finance, government affairs, and tobacco, effectively reducing the entry threshold for industry large model applications.
In terms of the cloud operation service system, Zhang Zhengfeng emphasized that unlike traditional cloud operators who rely on manual operation and personal knowledge base to solve problems, Whale Cloud has realized the reconstruction of the cloud operation knowledge system by integrating large model technology and traditional cloud operation and management experience, and significantly improved the efficiency of operation and maintenance management. At the same time, unified knowledge management promotes the continuous accumulation and personalized application of knowledge, promotes the upgrading of team organization and management, and realizes the double improvement of efficiency and service quality. The introduction of large-scale model technology also liberates high-value talents, frees them from routine tasks such as report preparation and data analysis, which occupy a lot of energy, and focuses on the design and implementation of higher-value customer service solutions, drives service innovation, reduces costs, enhances the flexibility of talent use, and achieves a win-win situation for the company and customers.
By building a full range of solutions from business cloudification, operation support of computing power centers to large-scale model customization services in vertical fields, Whale Cloud focuses on improving the engineering capabilities of the "last mile" of digital transformation, ensuring that each link accurately meets customer needs, taking advanced technology and team resources as the driving force, accurately positioning and cultivating high-quality customer groups, and creating more sustainable markets through models such as "one cloud" to ensure the vitality and resilience of business development.
Close collaboration with key partners such as mainstream cloud vendors not only deepens the depth and breadth of market development, but also continuously improves service levels and capabilities while complementing each other. By optimizing the channel strategy, carefully cultivating a network of high-quality customers and partners, and forming a symbiotic system with the head platform as a channel, we can provide uninterrupted excellent services to end customers. Whale Cloud will further integrate the coverage and service capabilities of partners, create more value for partners, and jointly face all challenges for customers to go to the cloud.
Zhang Zhengfeng said: Our goal is not only to be a leader in technology, but also a solid partner on the road to customer success.