The Third Plenary Session of the 20th Central Committee of the Communist Party of China proposed to improve the system and mechanism of developing new productive forces according to local conditions, "strengthen the supply of systems in new fields and new tracks, establish a growth mechanism for future industrial investment, and improve the promotion of new generation information technology, artificial intelligence, aerospace, and new industries." Development policies and governance systems for strategic industries such as energy, new materials, high-end equipment, biomedicine, and quantum technology will guide the healthy and orderly development of emerging industries." With the in-depth development of a new round of technological revolution and industrial transformation, artificial intelligence has become an important engine driving new productivity. General Secretary Xi Jinping emphasized, “Integrate scientific and technological innovation resources, lead the development of strategic emerging industries and future industries, and accelerate the formation of new productive forces.” “Artificial intelligence is a strategic technology that leads this round of scientific and technological revolution and industrial transformation, and it has spillover driving properties. A strong 'goose' effect." This year's "Government Work Report" proposes to deepen the research and development applications of big data, artificial intelligence and other technologies, and carry out the "artificial intelligence +" action. Accelerating the iterative and dynamic development of "artificial intelligence +" will not only help achieve technological change, but also help promote in-depth industrial transformation and upgrading. It is currently the key to cultivating and forming new productive forces.
Drive the scientific and technological revolution with "artificial intelligence +" and accelerate the leap in technological energy level
New qualitative productivity has the qualitative characteristics of leading a new round of scientific and technological revolution. As a new generation of digital technology, "artificial intelligence +" takes data, algorithms and computing power as the core elements to drive the scientific and technological revolution to achieve a comprehensive upgrade from isolated islands to connections, from primary to advanced, and from tools to value, demonstrating transcendence Technical energy level in the industrial economic era.
Data serves as a new element to build new connections. As an important part of new productivity, data can not only build a new connection between market supply and demand, but also use its role as a link to promote the value chain linkage of innovative elements such as talent, capital, technology, and management, thereby optimizing the efficiency of resource allocation. . Data elements are being deeply integrated into key links in production processes such as R&D and design, production and manufacturing, and operation and management, leading the transformation of traditional production methods into collaborative manufacturing, personalized customization, and data-driven supply chain management, and solving the problems caused by information asymmetry. To solve problems such as resource misallocation and low allocation efficiency, we need to realize data-driven changes in production methods and improve total factor productivity.
Algorithms serve as new kernels and generate new knowledge. Algorithms are the key to the innovation and evolution of intelligent technology and have become the innovative core of new productivity. Algorithms continue to innovate and make breakthroughs, helping to create and acquire new knowledge and reshape human knowledge production and thinking. With the interaction and collaboration of cutting-edge science and technology such as big data, brain science, and supercomputing, the algorithm exhibits important characteristics such as self-learning, self-training, and self-optimization, and is in line with the advanced productivity quality of high technology, high efficiency, and high quality. Algorithms not only realize machine decision-making with probabilistic models through aggregation and iteration at the technical level, but also carry out in-depth mining and reconstruction at the knowledge level, promoting the leapfrog development of artificial intelligence from perceptual intelligence and cognitive intelligence to decision-making intelligence and autonomous intelligence, and continuously cultivating Develop advanced productivity led by innovation.
Computing power serves as a new carrier to release new value. The role of new productivity depends on the degree of application of new technologies in various industries, and computing power, as the basic carrier for activating new productivity, can support the role of new productivity in a wider range and at a deeper level, releasing new value. Computing power has become an important productivity in the digital economy era after heat and electricity. It continues to break through the traditional physical space and extend into the digital space, providing strong support for the release of the value of massive data resources and complex algorithms. We can further use computing power to collect, transmit, calculate, store and analyze data, couple data and algorithms, build an organic whole of "artificial intelligence +", continuously improve the depth and breadth of knowledge mining, and increase the value created by unit investment. Economic value and social benefits promote the rapid development of new productive forces.
Using "artificial intelligence +" to trigger organizational changes and promote management paradigm shifts
"Artificial intelligence +" is an all-round scientific and technological revolution that affects the overall economic and social development and penetrates from productivity to production relations. It reshapes all aspects of the entire organizational process and provides a new management paradigm for organizational change. The shift of intelligent technology from organizational to social application is not only reflected in the optimization of organizational production efficiency, but also in the change of social resource allocation methods, further promoting the transformation of management paradigm to better adapt to the development requirements of new quality productivity.
Improve production efficiency and expand service scenarios. The business application scenarios of artificial intelligence are constantly expanding, showing great application value in key industries such as manufacturing, energy, and services, and greatly stimulating the potential of developing new productivity. In the manufacturing field, intelligent technology can realize the automation and refinement of production processes through intelligent analysis and prediction, significantly improving production efficiency and product quality. In the energy field, smart technology can achieve optimal energy distribution and storage and improve energy utilization efficiency by intelligently analyzing grid load and usage requirements. In the service industry, the application of intelligent robots and intelligent customer service systems can not only provide real-time response services, but also bring personalized and intelligent service experiences to consumers, improve service efficiency, and meet the diverse needs of consumers.
Reshape production relations and stimulate subject vitality. "Artificial intelligence +" can reshape production relations and stimulate the enthusiasm of multiple subjects. Through ubiquitous digital connections, we can strengthen the interaction between subjects, break the boundaries and information barriers of traditional production organizations, accelerate the flexibility, virtualization, and platformization of organizational forms, and make the interdependence between subjects increasingly stronger. Cooperation between people and organizations has become more transparent and efficient, and professional division of labor has been further strengthened, giving rise to new interactive capabilities among subjects and building a production and service model for large-scale social collaboration. This model can improve the flexibility and professionalism of services, promote the mutual promotion of new productivity and production relations, and effectively promote healthy economic and social development.
Innovate management models and dynamically respond to the market. "Artificial intelligence +" brings about a change in management logic under new technology iterations, that is, from passive response from the outside in to active perception from the inside out. Through this change, managers can keenly capture market dynamics and customer needs, promote Organizational change and innovation. Traditional organizational structures and management processes often rely on manpower and manual operations, but the introduction of intelligent technology gives organizations the ability to efficiently process data, analyze information, and make accurate decisions in real time, enabling organizations to proactively discover new business opportunities and market growth points. Take the lead in the market. For example, based on supply chain data analysis, inventory management and logistics distribution can be optimized to improve organizational operation efficiency.
Leading industrial change and building an industrial ecosystem with "artificial intelligence +"
"Artificial intelligence +" covers a series of links from basic technology research and development to practical application, promoting technological innovation and progress and in-depth industrial transformation and upgrading. Similar to the natural ecosystem, the industrial ecosystem is committed to building an organic ecology where multiple elements such as multiple subjects, abundant resources, and efficient mechanisms interact and promote each other. By continuously enhancing the overall innovation capabilities of the industry, the industrial ecosystem will form new innovation-led productivity. , promote the transformation and upgrading of traditional industries towards high value-added, promote the optimization and sustainable development of industrial structure, and lead the leap of industrial intelligence.
Optimize industrial layout and improve resource allocation. The accelerated cultivation of new forms of artificial intelligence, new models and new industries is becoming an important starting point for shaping new advantages in the development of the digital economy. "Artificial Intelligence +" is not a simple industrial plan, but a scientific and reasonable resource allocation mechanism based on value consensus and mutual collaboration through multiple entities such as the government, society, enterprises and individuals to improve the overall efficiency of the industry. Specifically, it is to integrate the disordered and chaotic elements in the industrial ecosystem so that various innovative resources in the process of industrial development are allocated more reasonably within the system, thereby improving the overall efficiency of market resource allocation and laying the foundation for the development of new productive forces. Create a good industrial environment.
Industrial intelligence upgrades to increase added value. The development of new productive forces requires the support of a high-end, intelligent, and green modern industrial system. "Artificial Intelligence +" is an important strategy to achieve this goal. In the era of industrial economy, business organizations mainly pursue large-scale production. The intelligent characteristics of the digital economy era have promoted the industry to continuously move towards high-end and green industries, significantly improving the added value and competitiveness of the industry. For example, by optimizing energy use and reducing environmental pollution, we can help industries achieve green transformation, promote sustainable development of industries, create a healthy innovation ecosystem, and help traditional productivity leap into new productivity that is more efficient, smarter, and greener.
Cross-border integration of industries to achieve ecological synergy. The formation of an ecosystem not only relies on integrated innovation of technology, but also requires close cooperation and collaboration between upstream and downstream enterprises in the industry chain, giving rise to an industrial ecosystem characterized by data sharing and open platforms. As a collection of innovative technologies, "artificial intelligence +" promotes information exchange, resource sharing and industrial integration among different industries with its powerful data processing capabilities, intelligent decision support and digital platform advantages. By building an open, shared, and collaborative industrial ecosystem, we should accelerate the deep integration of technology chains, industrial chains, and innovation chains, enhance the overall competitiveness of the industry, and accelerate the formation of new productive forces powered by artificial intelligence.