Facing the deep convergence of the artificial intelligence wave and the deep integration of the real economy, the formation of new growth points

"Accelerate the construction of a strong manufacturing country, accelerate the development of advanced manufacturing, and promote the deep integration of the Internet, big data, artificial intelligence and the real economy, in the fields of high-end consumption, innovation leading, green low-carbon, shared economy, modern supply chain, human capital services, etc. Cultivate new growth points and form new kinetic energy." - Report of the 19th National Congress

The 19th report series keyword series interpretation of three artificial intelligence

Scientific and technological progress is becoming an important driving force for economic development, and the contribution rate to China's economic development has risen to 56.2%. In the face of the rising wave of artificial intelligence, how to occupy the commanding heights of the industry, how to promote deep integration with the real economy, and form new growth points?

Facing the wave of artificial intelligence, promoting the deep integration with the real economy, forming an analysis of new growth points

1. The rise of artificial intelligence

In 2016, Li Shishi, the world's Go champion, voted in the game against Alpha Go, and people were shocked that the power of artificial intelligence could not be ignored. In the past decade, the three major elements of algorithms, data and computing have helped to re-emerge the artificial intelligence. The Internet has stored more than 20 years of data and finally found its historical mission: training machines. This wave of machine learning and deep learning is considered to be the most important driving force for technological innovation and social change, and the AI ​​era with algorithm as the core is coming.

Like the Internet and the mobile Internet, artificial intelligence is the basic ability. Artificial intelligence is not a single technology or track. It will be integrated into existing production, deepening the impact of digitization in the vertical domain and affecting all data-related areas. The deep learning algorithm enables the machine to have the ability to learn autonomously, and is used in the fields of speech, image, and natural language processing to start a deep development, and has driven a series of emerging industries. Increasing productivity and creating new products and services through AI is an urgent need for economic competition and economic upgrading.

The continuous development of the underlying technology of artificial intelligence has enabled intelligent machines to gradually realize the leap from “recognizing the physical world” to “personalized scenes landing”. Technology companies regard artificial intelligence as the next stop for the digital revolution, and major technology companies are actively deploying "ship tickets" for the AI ​​world. In addition to the giants, a large amount of capital flows into the AI, and the amount of financing at the enterprise level in China is close to that of the United States. At the national level, governments are sparing no effort to promote the development of artificial intelligence technology, and its role in economic construction and national strategic aspects is increasingly important.

In recent years, the Chinese government has paid more and more attention to artificial intelligence and has continued to support and promote the development of artificial intelligence from all aspects. In this year's "two sessions," "artificial intelligence" first appeared in the government work report. Subsequently, the State Council issued the “New Generation Artificial Intelligence Development Plan”, marking the development of artificial intelligence as a national strategy. Among them, the real economy is the foundation of development, the foundation of the national economy, and the cornerstone of China's future. Promoting the combination of artificial intelligence and the real economy is the inevitable development direction for accelerating the transformation and upgrading of the real economy.

2. Six major areas help the real economy

Artificial intelligence is not a distant concept. The prosperity of a new generation of artificial intelligence has spawned many application-oriented technologies. From a technical point of view, robotics, natural language processing (NLP), computer vision and image (CV), speech recognition, automatic driving and other technical fields are popular branches of the AI ​​industry, entrepreneurial enthusiasm is hot, technological breakthroughs and application innovations emerge one after another. Nowadays, application AI has penetrated into all walks of life, and various technologies have been combined and packaged into products or services, which has changed business practices in different fields, accelerated the commercialization of vertical AI, and set off a smart revolution.

(Source: Tencent Research Institute)

According to the heat map of China's AI infiltration industry compiled by the Tencent Research Institute's "China-US AI Venture Capital Report", the medical industry has become the hottest industry for AI applications, and the automotive industry has taken advantage of related technologies such as automatic driving/assisted driving. Development stands out and ranks second. The third echelon includes the symbolic areas of the real economy such as education, manufacturing, transportation, and e-commerce. Introducing artificial intelligence in all walks of life is a gradual process.

From the most basic sensory capabilities, to the analysis of massive data, to understanding and decision-making, artificial intelligence will gradually change the production methods in various fields and promote structural transformation. Based on the current technical capabilities and application enthusiasm of artificial intelligence, we look forward to how artificial intelligence will help the following six real economic sectors.

Facing the wave of artificial intelligence, promoting the deep integration with the real economy, forming an analysis of new growth points

01 health care, from auxiliary surgery to precision medicine

Historically, major technological advances have spurred a leap in healthcare. For example, after the industrial revolution, humans invented antibiotics, and various diagnostic instruments such as CT scanners and minimally invasive surgical instruments were invented after the information revolution.

The application of artificial intelligence in the field of medical and health has been quite extensive. Relying on deep learning algorithms, artificial intelligence has a natural advantage in improving the efficiency and disease diagnosis of health care services, and various applications aimed at improving the efficiency and experience of medical services have emerged.

There are two main directions for medical diagnosis of artificial intelligence. One is to diagnose diseases through medical imaging based on computer vision. The other is to understand the symptoms of patients based on natural language processing, and then compare and deepen according to the contents of the disease database. Learn to diagnose the disease. Some companies have begun experimenting with tailor-made treatment options for patients based on massive amounts of data and machine learning. Artificial intelligence will accelerate the transition from health care to medical prevention. A good understanding of how AI is applied to various medical scenarios will be important for future human well-being.

Facing the wave of artificial intelligence, promoting the deep integration with the real economy, forming an analysis of new growth points

02 Smart City, installing a smart center for the city

Artificial intelligence is helping smart cities enter version 2.0. Big data and artificial intelligence are powerful tools for building smart cities. The city's transportation, energy, water supply and other fields generate a large amount of data every day. Artificial intelligence can extract effective information from the massive data of urban operation and development, making data more effective in processing and use, and providing new development for smart cities. path.

In the field of urban governance, artificial intelligence can be applied to real-time analysis of traffic conditions, automatic allocation of public transportation resources, and automatic management of traffic flow.

Today, the production of self-driving cars has already competed with established giants such as Mercedes-Benz and technology giants. Unmanned driving in the future will also greatly improve the overall traffic efficiency of the city and build an integrated transportation system.

Computer vision is rapidly moving into the field of smart security. Tencent's U-Tian eye system is based on face retrieval technology and public security existing massive data modeling, intelligent security solutions for the public security, security industry.

Facing the wave of artificial intelligence, promoting the deep integration with the real economy, forming an analysis of new growth points

03 intelligent manufacturing, the next stop for automation

Manufacturing is the pillar industry of the real economy. The advent of the artificial intelligence era has brought significant opportunities for the further deepening of the China Manufacturing 2025 program to promote the transformation and upgrading of China's manufacturing industry. Manufacturing moves from automation to intelligence.

The first meaning is that the machine is replaced, and the intelligence becomes the development direction of the current robot. Traditional robots are just CNC mechanical devices that cannot adapt to changing environments. The cost of interacting with humans is also very high. High-precision, high-efficiency, and actively adaptable robots will be able to provide solutions for small and medium-sized batches and multi-species in manufacturing, making mass customization possible.

Secondly, artificial intelligence not only means the physical robot that completes a certain link in the manufacturing industry, but also the intelligent manufacturing system supported by the smart manufacturing factory and intelligent supply chain in the future manufacturing industry. Intelligent design process, manufacturing process and manufacturing equipment through artificial intelligence. Intelligentization will continue to give new energy to the manufacturing industry, giving the manufacturing industry greater efficiency and even bringing subversive changes in production and organizational models.

Facing the wave of artificial intelligence, promoting the deep integration with the real economy, forming an analysis of new growth points

04 smart retail, physical store accelerated upgrade

The retail industry will be one of the industries that have benefited the most from the development of artificial intelligence. Driven by Amazon Go, a variety of unmanned retail solutions are emerging. With the disappearance of the demographic dividend, the aging is intensifying, and the cost of convenience store manpower is getting higher and higher, and unmanned retail is at the forefront. Unmanned convenience stores can help improve operational efficiency and reduce operating costs.

Face recognition technology can provide a new payment experience. In the "2017 Global Top Ten Breakthrough Technologies" list released by the MIT Business Review, China's "Paint Face Payment" technology ranks among them. Based on vision equipment and processing systems, dynamic Wi-Fi tracking, sensors throughout the store, passenger flow analysis systems, etc., you can output specific groups of early warning, targeted marketing and service recommendations, as well as user behavior and consumption analysis reports.

Retailers can use artificial intelligence to streamline inventory and warehouse management. In the future, artificial intelligence will help the retail industry to focus on consumers, and create a more flexible and convenient retail scene to enhance the user experience in the context of time fragmentation and socialization of information acquisition.

05 smart service business, "know you" service entrance

Bot is an artificial intelligence virtual assistant that interacts with us on an information platform. In the future user-centric IoT era, Bot will become more intelligent and become the entry point for the next generation of mobile search and diverse services. In the field of life services, Bot can provide a variety of services through dialogue, such as weather forecasting, traffic inquiries, news, online shopping, translation and so on. In the field of professional services, with the help of professional knowledge maps, Bot can also accurately understand user behaviors and needs with the characteristics of business scenarios, and provide professional customer service consultation.

Virtual assistants are not meant to replace or subvert people, but to free humans from repetitive, alternative work to accomplish higher-level tasks such as thinking, innovation, and management.

Facing the wave of artificial intelligence, promoting the deep integration with the real economy, forming an analysis of new growth points

06Intelligent education, future-oriented "adaptive" education

The application of artificial intelligence to the education industry is still in its infancy. The combination of speech recognition and image recognition and education-related scenes will be applied to scenes such as personalized education, automatic scoring, and speech recognition assessment. Improve language learning efficiency through voice assessment and semantic analysis. Artificial intelligence does not replace teachers, but helps teachers become more efficient educators; under the standard evaluation of algorithm formulation, students receive tailored learning support to form a “adaptive” education for the future.

At present, a group of Chinese artificial intelligence companies are poised to transform and transform all walks of life. Under the influence of the intelligent revolution, the old industry will emerge in a new form and form a new industry. The integration of artificial intelligence and the real economy is not only the industrialization path of the AI ​​industry, but also the vane of the traditional industrial upgrading.

3. The impact of expanding the three levels on the real economy

From an economic perspective, the economic impact of new technologies is measured by the total factor growth rate. Artificial intelligence is expected to change the foundation of economic development, have a broad and subversive impact on society, and create more economic benefits:

First, improve production efficiency

As a new production factor, artificial intelligence creates a virtual workforce that solves complex tasks that require adaptability and agility. Traditional automation is only for specific tasks. Intelligent automation based on artificial intelligence will be able to flexibly solve problems in many fields, improve the efficiency of the real economy, reduce production costs, and open up new economic growth space.

Second, further reduce transaction costs

The Internet platform model reduces transaction costs in traditional economic activities by reducing information asymmetry. With the introduction of machine learning, more precise service matching can be achieved. Further optimize resource allocation.

Third, artificial intelligence will bring data economy

According to the British government, the data industry will bring 241 billion pounds of growth to the UK in 2015-2020. Only through artificial intelligence can we handle the massive data brought about by the rapid development of the analytical data industry. These data gold mines will also bring unpredictable growth points to the economy.

Facing the wave of artificial intelligence, promoting the deep integration with the real economy, forming an analysis of new growth points

4. Promote the integration of AI and the real economy

The world's advanced economies are fully aware of the majestic power contained in the face of artificial intelligence technology changes. Artificial intelligence has risen and fallen for 60 years. This round of artificial intelligence revolution has finally left the laboratory and become the driving force of the next round of industrial revolution. The government strengthens the top-level design from a strategic perspective, and the company accelerates its development from the bottom-level application and lays out the industrial ecology. In the "New Generation Artificial Intelligence Development Plan" issued by the State Council, it clearly stated that China has become the ambition of the AI ​​power, and proposed that China should achieve the world's leading level in the field of artificial intelligence in 2030. With the advantages of population and data, China has a natural advantage in this global artificial intelligence revolution. For China, it is now an opportunity to seize the opportunity to achieve overtaking in corners. In order to release the economic potential brought by artificial intelligence, all sectors need to cooperate to promote the development of the AI ​​industry and promote the integration of AI and the real economy.

01 Talent training, promoting technological progress

At present, the competition in the field of artificial intelligence is mainly reflected in the dispute of talents. Compared with developed countries, China still has talent defects in the field of artificial intelligence, including professional academic and R&D talents in the field of artificial intelligence, and will also include a large number of low-skilled labor in the future artificial intelligence industry. It is necessary to establish a core technical personnel training system, strengthen the construction of artificial intelligence disciplines, strengthen the circulation of talents in enterprises and academia, build a solid talent base, and promote the healthy development of the industry. In addition, the government should also create a multi-disciplinary skills training program, and improve the scientific and technological literacy of the whole people, and even develop a "lifelong learning plan" to cope with a changing future.

02 Increase data openness and promote data governance

Data is at the heart of the development of the artificial intelligence industry. Although China is the country with the largest amount of data in the world, it is still far from ecological in terms of data opening and data trading.

Today, governments around the world have declared that “information disclosure is the norm, and non-disclosure is the exception”, and they are moving from “information disclosure” to “data openness”. On the one hand, the government should increase data openness, on the other hand, it should promote data exchange between enterprises, universities, and public departments, promote cooperation and sharing, and foster world-class soil for the development of artificial intelligence technology.

At the same time, the development of artificial intelligence has also raised new issues for data governance for developers and governments, balancing data openness and privacy protection, thereby enhancing trust in the field of artificial intelligence.

03 Deepen the scene exploration in the real economy

The power of artificial intelligence requires depth and breadth. From the laboratory to the practical application, artificial intelligence needs to go through the commercialization gap. When referring to "artificial intelligence" in the report of the 19th National Congress, it emphasizes that it is deeply integrated with the real economy, and it is also necessary to promote artificial intelligence at the application level. Technology and data itself need to find valuable scenarios to apply to form products or solutions that deliver value. At present, we are still in the early stage of artificial intelligence application, and there are a large number of industries and fields that can be combined with current artificial intelligence. Especially in the real economy, there are many sub-divisions that need to further understand the capabilities of artificial intelligence, reorganize the processes of the sub-sectors, and through the continuous optimization of data and applications, break through the scenes one by one, and finally form a new map of the artificial intelligence society. .

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