


'Generative AI Enterprise Application Implementation Technology White Paper' guides the best path for industrial implementation
At the 2023 Xinbaihui Annual Meeting, Digital China and Xinbaihui Research Institute released a "White Paper" with the theme of "Reconstruction·Integration·New Engine—Industrial Innovation and Digital Intelligence Transformation in the New AI Era" . The "White Paper" considers and summarizes the technological innovations and challenges brought about by generative AI from six technical ecological levels, and explores and summarizes the practice of generative AI enterprise applications as well as AI industry policies and development trends. This white paper aims to promote exchanges and cooperation between industries, create a win-win cooperation model, and accelerate digital transformation to a new stage
Li Gang, Vice President and CTO of Digital China, said in his interpretation of the "White Paper" that every digital technology paradigm change will have a profound impact on the economic landscape and social structure, and will give rise to a new wave of enterprise digitalization. In this technological paradigm change led by generative AI, we need to understand the industry development trends from a macro perspective and focus on every key technical detail to meet the huge and complex opportunities and challenges and promote digital transformation. Towards a new stage
Six-layer technology ecosystem to build a generative AI technology knowledge framework
The emergence of generative AI in the past two years has set off a technological revolution and stimulated the enthusiasm of enterprises for digital innovation. However, in the process of innovation research, all sectors of society are faced with the problem of information overload of massive fragmented information, which causes enterprises to often fall into confusion or unnecessary anxiety when evaluating technological prospects
The "White Paper" is based on sufficient industry insights and clarifies some key technologies and concepts in the generative AI ecological framework. After observation and sorting, the "White Paper" believes that currently generative AI related technologies have formed a six-layer architecture ecosystem, including AI computing infrastructure, basic large models and related technologies, large models and training and evaluation data, and generative AI application development technology, generative AI security and monitoring, and generative AI application design. It systematically summarizes the generative AI technology ecological architecture and provides a strong theoretical reference for enterprises to deeply understand the generative AI technology framework system.
Six core pain points, focusing on the implementation of generative AI application scenarios
As the digital transformation of enterprises enters the second stage of data and cloud integration, data-based customer profiling, risk control, precision marketing and other scenarios have formed data-based reverse optimization support for business processes. Gradually building a flywheel effect between data and business will be an important measure for enterprises to win the digital stage. Based on this, generative AI technology based on massive data will be applied to wider and richer scenarios.
After long-term market research, the "White Paper" systematically sorted out and summarized topics such as the implementation path and scenario application challenges of generative AI. The "White Paper" believes that there are six core issues in the current application of generative AI technology, namely, scenario selection, development tools, building enterprise knowledge engineering, model selection and deployment, computing resource planning and management, and security engineering of generative AI applications. . These problems hinder enterprises from opening up the generative AI technology supply chain to the last mile of enterprise applications in the process of implementing generative AI.
In order to solve a series of problems faced by companies implementing generative AI, Digital China launched a one-stop large model integration platform - China Wenxue. China Wenxue provides enterprises with the connection capabilities of models, computing power, data and applications on one platform. It is not only an enterprise's large model integration platform, but also an enterprise's large model operation platform. China Wenxue helps companies invest in and operate their own large model applications by connecting all aspects of models, data, computing power and applications, shielding tedious technical details.
In-depth understanding of industrial policies and grasping the future trend of generative artificial intelligence
At present, both the national level and local governments are actively promoting the development of the generative artificial intelligence industry, treating it as the core engine of economic and social development and promoting future technological innovation, industrial development, urban construction and social governance. Strategic Technology
By sorting out relevant policies in various places, the "White Paper" predicts four major trends in the development of the AI industry: First, building an industrial ecology is the "main battlefield" for the development of the AI industry in various countries; second, large models in the basic large model field will become the AI industry The third is that large technology companies are an important force in the development of the AI industry; the fourth is that industrialization is expanding into deep scenarios along the two paths of To B and To C.
In order to promote the development of my country's artificial intelligence industry, the white paper puts forward four countermeasures and suggestions, including focusing on optimizing and improving the artificial intelligence industry ecology, actively promoting the practical application of artificial intelligence technology, and persisting in taking the lead in key core technologies of artificial intelligence. status and improve the data governance system
Although the technological changes and application scenarios of generative AI are still in their early stages, the application of generative AI in enterprise digital transformation has become an irreversible trend. As a core participant in China's IT ecosystem, Digital China has been committed to promoting the systematic application of advanced technologies in enterprises, helping enterprises to better achieve digital transformation and seize the unlimited opportunities brought by generative AI technology. At the same time, we hope that this "White Paper" can play a role in "inspiring ideas" and provide valuable inspiration and guidance to the industry
Disclaimer: This article is for reference only and does not constitute investment advice.
In order to rewrite the content without changing the original meaning, the language needs to be rewritten into Chinese without the original sentence appearing
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