ELAU PMC-2/11/25/001/00/03/00/0K
From the actual situation in the domestic market, the development of generative AI is neither as optimistic as predicted by practitioners who followed the trend at the beginning of the year, nor as pessimistic as described by critics.
The core issue behind this is that in the field of enterprise level generative AI with larger imagination space, the most important thing is not how strong the large model capability is, but how it can evolve from a basic model to specific applications in various fields, thereby empowering the development of the entire economy and society.
In the process of transforming generative AI from technical capabilities to specific applications, Amazon Cloud Technology, as a cloud computing enterprise, provides a way to solve existing problems. Simply put, Amazon Cloud Technology provides better cost-effectiveness through self-developed chips and a combination of various rich computing, network, storage and other products to cope with sudden computing power needs. Through serverless, it effectively reduces the complexity of operation and maintenance, thereby simplifying the use of computing power and fully meeting the diverse computing power needs of users.
As the underlying platform supporting computing power, Amazon Cloud Technology’s problem-solving approach also provides a clearer and more feasible path for the development model of generative AI in China. Cloud computing enterprises, as the underlying computing power support, can clear technical and cost barriers for the implementation of generative AI applications, accelerate industry development, and also gain more commercial benefits; The model layer company focuses on training generative AI capabilities and builds a developer ecosystem through open source methods; Application level companies that truly empower economic and social development through generative AI can focus more on their business areas and think about how to make generative AI more convenient for work and life, without spending too much energy thinking about how to implement their ideas with lower costs and more advanced technology.
Simply put, as a new species of generative AI, the key to its rapid implementation lies in the collaborative efforts of enterprises in various links of the industry chain, where professionals perform professional tasks.
For example, integrated marketing and technology service provider Diantong is committed to integrating new technologies such as generative AI with marketing and consulting to provide services to customers. In the process of applying new technologies, Diantong utilizes Amazon Bedlock’s enterprise level control capabilities and deployment of third-party model capabilities to enable new technologies to be quickly utilized by marketers, creating innovative opportunities for customers; The open model ecosystem strategy of Salesforce, an AI customer relationship management (CRM) platform, is implemented through Amazon Bedlock, which seamlessly integrates the model with customer data and integrates it into Salesforce workflows, making model implementation unprecedentedly simple and fast.
In the process of applying new technologies such as generative AI to customers in various industries and industries, Amazon Cloud Platform innovatively designs a three-layer technology stack to make the implementation of new technologies more efficient and convenient in business, while related enterprises only need to focus their energy more on their own business side. It can be foreseen that in the future, more enterprises will implement new technologies through this model, allowing existing businesses to gain new development opportunities.
When the technological and cost barriers faced by enterprise level generative AI are cleared, the related applications are bound to experience explosive growth. According to CITIC Securities, the market space for generative AI in China exceeds 100 billion yuan. Among them, generative AI has enormous imagination space in industries, autonomous driving, medical and other fields. If the obstacles to the commercialization of generative AI are cleared, the development of this field is expected to present the prosperous scene of early mobile internet – numerous application layer startup companies emerge, various pain points in people’s daily work and life will be solved, and productivity and convenience of life will be further improved.
Under the vast imagination, Amazon Cloud Technology has actively taken action to help various enterprises solve practical problems in the process of implementing generative AI. In addition to the Beijing station event, the 2023 re: Invent China City Tour will also cover 9 cities including Shanghai, Guangzhou, Shenzhen, Chengdu, Qingdao, Nanjing, Xi’an, Hangzhou, and Changsha. Chen Xiaojian, General Manager of Amazon Cloud Technology’s Greater China Product Department, made a clear statement at the Beijing Station Exhibition Day, hoping that through these technological innovations, more enterprises can accelerate their innovation speed and use generative AI to reshape the future.