Shulou(Shulou.com)06/02 Report--

This article comes from the official account of Wechat: everyone is a product manager (ID:woshipm). The author: be good again.

Nowadays, China is the country with the fastest development and the best prospect in the field of artificial intelligence in the world, and some indicators have occupied the leading position in the world. However, at present, there are still some vertical segments of artificial intelligence in China that need to be developed urgently.

I. the purpose of research

This paper takes the field of artificial intelligence as the main research object, and deeply investigates the macro and micro background of the industry through industry background analysis (macro-economy, competition situation, industry technology forecast), market situation analysis (market stage, market scale) and micro analysis (application scenario, SWOT, competition strategy).

The purpose of this paper is to deeply analyze the profit prospect of the artificial intelligence market and provide support for finding possible development opportunities in the field of segmentation.

Second, industry background analysis

1. Political factor

1.1 National Policy Analysis

The development of artificial intelligence industry is inseparable from the policy and national strategic support of relevant national departments. Since 2015, the top-level design of artificial intelligence has been gradually improved, and relevant policies have been concentrated out of the stage.

Figure 1. Artificial intelligence policy stage (Deqing Economic Strategy Innovation, 2019)

In May 2015, made in China 2025 mentioned intelligent manufacturing for the first time, proposing to accelerate the development of the integration of new generation information technology and manufacturing technology, take intelligent manufacturing as the main direction of the deep integration of the two modernizations, and focus on the development of intelligent equipment and intelligent products. promote the intellectualization of the production process.

In July 2015, the State Council issued the guidance on actively promoting the "Internet +" operation. The "guidance" regards artificial intelligence as one of its 11 main actions, and clearly proposes to provide artificial intelligence public innovation services based on the Internet platform, speed up the breakthrough of artificial intelligence core technology, and promote the popularization and application of artificial intelligence in smart home, intelligent terminal, intelligent car, robot and other fields. It is necessary to further promote the research, development and industrialization of key technologies such as computer vision, intelligent speech processing, biometric recognition, natural language understanding, intelligent decision control and new human-computer interaction.

In January 2016, the State Council issued the National Science and Technology Innovation Plan of the 13th five-year Plan, which listed intelligent manufacturing and robots as one of the major projects of the "Science and Technology Innovation 2030 Project".

In March 2016, the outline of the Thirteenth five-year Plan for National Economic and Social Development (draft), and the concept of artificial intelligence entered the 13th five-year Plan.

In May 2016, the National Development and Reform Commission, the Ministry of Science and Technology, the Ministry of Industry and Information Technology and the Central Internet Information Office issued the "Internet +" three-year Action Plan for Human and Engineering Intelligence. It is clearly put forward that a 100 billion yuan application scale of artificial intelligence market will be formed in China by 2018.

The plan defines support for the development of artificial intelligence in six specific areas, including funding, system standardization, intellectual property protection, human resources development, international cooperation and implementation arrangements.

The plan establishes the goal of establishing infrastructure, innovation platform, industrial system, innovation service system and AI basic industrial standardization by 2018.

In July 2016, the State Council proposed in the 13th five-year National Science and Technology Innovation Plan that it is necessary to vigorously develop a new generation of information technology with ubiquitous integration, green broadband, security and intelligence, and develop a new generation of Internet technology to ensure the security of cyberspace. we will promote the extensive penetration and deep integration of information technology into various industries.

At the same time, the primary goal is to develop a new generation of Internet technology and the development of natural human-computer interaction technology.

In September 2016, the National Development and Reform Commission (NDRC) mentioned the development and application of artificial intelligence in order to build an innovation network in the field of "Internet +" and promote the development of artificial intelligence technology, in the notice of the General Office of the National Development and Reform Commission on asking organizations to apply for special innovation capacity building in the field of "Internet +". To promote the development of artificial intelligence technology, artificial intelligence technology should be included in the special construction.

In March 2017, in the government work report of the Fifth session of the 12th National people's Congress, "artificial intelligence" was included in the government work report for the first time, and 2017 lightweight applications are very likely to be landed.

Premier Li Keqiang mentioned in the government work report: it is necessary to speed up the cultivation and growth of emerging industries. We will comprehensively implement the development plan for strategic emerging industries, speed up the research and development and transformation of artificial intelligence and other technologies, and expand and strengthen industrial clusters.

In July 2017, the State Council issued the Development Plan of the New Generation of artificial Intelligence, which clearly pointed out that the strategic goal of the development of the new generation of artificial intelligence is to make China's artificial intelligence theory, technology and application reach the world's leading level by 2030 and become a major artificial intelligence innovation center in the world.

In October 2017, artificial intelligence entered the report of the 19th CPC National Congress, which will promote the deep integration of the Internet, big data, artificial intelligence and the real economy.

In December 2017, the "three-year Action Plan for promoting the Development of the New Generation artificial Intelligence Industry (2018-2020)" was released, which complements the "New Generation artificial Intelligence Development Plan" released in July. the key development directions and goals of artificial intelligence in the next three years are planned in detail, and the goals in each direction are quantified in detail.

On the afternoon of January 18, 2018, the 2018 artificial Intelligence Standardization Forum released the White Paper on artificial Intelligence Standardization (2018 Edition).

The National Standardization Management Committee announced the establishment of the National artificial Intelligence Standardization General Group and expert Advisory Group, which is responsible for the overall planning and coordination of artificial intelligence standardization in China. And interpret the "three-year Action Plan for promoting the Development of the New Generation artificial Intelligence Industry (2018-2020)" and "artificial Intelligence Standardization helps Industry Development" to promote the standardization of artificial intelligence in an all-round way.

On March 5, 2018, at the first session of the 13th National people's Congress, State Council Prime Minister Li Keqiang put forward in the 2018 "Government work report": "Development and growth of new momentum. We will expand and strengthen emerging industrial clusters, implement big data's development action, strengthen the research and application of a new generation of artificial intelligence, and promote Internet + in health care, old-age care, education, culture, sports and other fields. Develop intelligent industry and expand intelligent life. We will vigorously transform and upgrade traditional industries by using new technologies, new business type and new models. "

1.2 Local policy analysis

Local government has become the main force to promote the development of artificial intelligence industry in China.

At the provincial (municipality) level, there are 26 policies in 16 provinces, including Beijing, Shanghai, Tianjin, Zhejiang, Anhui, Jilin, Guizhou and Liaoning.

"strong artificial intelligence policy" means that the word "artificial intelligence" is involved in the policy title or the specific content of artificial intelligence in the document is more than 80%.

"weak artificial intelligence policy" means that only a small amount of artificial intelligence industry is involved in the policy.

Based on the above analysis, this paper comprehensively analyzes the hot areas of artificial intelligence development and investment in the future from five quantifiable dimensions: policy intensity, expected industry scale, policy investment, talent support and enterprise support.

From a policy point of view, Jiangsu, Shanghai, Guangdong, Beijing and Zhejiang are the hot areas of artificial intelligence development and investment in the future.

From the perspective of cities: Suzhou, Shanghai, Guangzhou, Beijing and Hangzhou in Jiangsu are hot cities for the development and investment of artificial intelligence.

Figure 2. Score of artificial intelligence policy in various provinces and cities (Deqing Economic Innovation, 2019)

1.3 legal analysis

At present, there is no legislation related to artificial intelligence in China. Although artificial intelligence still has a long way to go for the reform of the law, this kind of reform which has been initiated has been paid attention to by the academic and industry.

On January 6, the first national academic seminar on "artificial Intelligence and the Future Rule of Law" was held at Northwestern University of political Science and Law. Experts attending the meeting believe that in the foreseeable future, artificial intelligence will not be able to provide legal services without human beings, but will more likely assist people to complete part of the auxiliary work.

Looking to the future, the legal construction of artificial intelligence will involve personality rights, intellectual property rights, property rights, tort liability identification, legal subject status and so on.

two。 Economic factors

According to IDC's "Global White Paper on artificial Intelligence", it is estimated that the global expenditure on artificial intelligence will reach 275.8 billion yuan by 2020.

The Chinese government and capital market attach great importance to and continue to invest in artificial intelligence, which will promote the rapid development of artificial intelligence in China. By 2020, China's expenditure on artificial intelligence technology will reach 32.5 billion, with a five-year compound growth rate of 32.8%, accounting for about 12% of the total global expenditure.

According to the China artificial Intelligence Development report 2018 of Tsinghua University, China has become the largest country in terms of artificial intelligence investment and financing in the world. From 2013 to 2018 Q1, investment and financing accounted for 70% of the world, becoming the world's most "money-absorbing" country.

Figure 3. Global investment and financing amount / number of transactions (Global artificial Intelligence White Paper, 2019)

Figure 4. Regional Distribution of Investment and financing of artificial Intelligence in China

3. Social factors

Artificial intelligence has been widely concerned by the society in recent years, and the rapid development of the industry has penetrated into all aspects of national life.

Today, from the national top-level design to the rapid landing of industrial applications, artificial intelligence is gradually becoming a new engine leading the subversive transformation of Industrial 4.0.

According to the Baidu artificial intelligence search index, the search volume center has gradually increased since 2016, indicating that netizens' attention to artificial intelligence continues to rise.

Figure 5. Baidu artificial Intelligence search Index (Baidu, 2019)

According to a survey of 3088 people in the China artificial Intelligence Development report 2018 of Tsinghua University, more than half of the people are in support of the development of artificial intelligence, while only 2.4% are against it.

The data show the inclusiveness of our national mentality-the development of artificial intelligence in our country stems largely from less opposition and resistance.

The top four people pay attention to the application fields of artificial intelligence as follows: finance, transportation, education and health care.

Figure 6. National prospects for artificial Intelligence (Tsinghua University, 2018)

Figure 7. Ranking of areas of concern of artificial intelligence (Tsinghua University, 2018)

In the search for people who follow artificial intelligence, the Baidu index shows that most of them come from developed eastern coastal provinces and cities such as Guangdong, Beijing, Shanghai, Jiangsu and Zhejiang.

The data is basically consistent with the regional distribution of artificial intelligence landing projects at present, which shows that artificial intelligence has better application and scale effect in cities with large economy.

Figure 8. Baidu artificial Intelligence search Regional Distribution (Baidu, 2019)

In the past year, there has been a marked differentiation among people who are concerned about artificial intelligence:

People aged 30 and 39 received the highest attention, followed by those aged 40 and 49. In terms of gender, the attention of men is significantly higher than that of women.

Figure 9. Baidu artificial Intelligence searches for user Portrait (Baidu, 2019)

4. Technical factors

The technical level of artificial intelligence in China is the first echelon in the world. Overall, China's technological level is slightly lower than that of the United States, but the speed of catch-up is faster.

The leading technologies in the world in China include speech recognition, visual recognition, machine translation, Chinese information processing and so on.

Figure 10. Proportion of artificial Intelligence Technology Application in China (100 million Euro think Tank, 2018)

In terms of basic disciplines, China has achieved rapid growth in artificial intelligence papers in the past two decades: the number of papers published has increased from more than 1000 in 1997 to more than 37000 in 2017, and the proportion of papers in the field of artificial intelligence is also increasing.

Figure 11. Development trend of AI papers in China (Tsinghua University, 2018)

In the past two decades, the total number of artificial intelligence papers and the total number of highly cited papers in China ranked first in the world.

Since China surpassed the United States in the number of papers published in 2006, the global share of papers in the field of artificial intelligence has increased from 4.26% in 1997 to 27.68% in 2017, far ahead of other countries, and the leading edge is gradually expanding.

Figure 12. Global output of artificial intelligence papers (Tsinghua University, 2018)

China has become the country with the largest number of artificial intelligence patents granted in the world, slightly ahead of the United States and Japan, which account for 74% of the world's total patent disclosure.

Global patent applications are mainly focused on speech recognition, image recognition, robots and machine learning.

Figure 13. Global artificial Intelligence Patent Licensing (Tsinghua University, 2018)

The total number of artificial intelligence talents in China ranks second in the world, but the proportion of outstanding talents is on the low side.

As of 2017, the number of artificial intelligence talents in China reached 18232, accounting for 8.9% of the world's total, second only to the United States (13.9%).

Figure 14. Global artificial Intelligence Talent Distribution (Tsinghua University, 2018)

As of June 2017, there were a total of 2617 artificial intelligence start-ups worldwide. The United States ranks first with 1078 companies, followed by Britain, Israel, Canada and other countries.

Of these, 1078 AI start-ups in the US have about 78700 employees, while Chinese companies have about 39200 employees, only 50 per cent of those in the US.

American artificial intelligence start-ups are mainly composed of 10-10 and 10-50 teams, which have a total of 759 small teams, accounting for 70.41% of the total number of AI start-ups in the United States.

Chinese artificial intelligence start-ups mainly have a team of 10 to 50 people, with a total of 384, accounting for 64.86% of the country's total.

It can be said that the size of small entrepreneurial teams in the United States is smaller than that in China. When the same technology is needed, the average ability and value creation of the American team is higher than that of the Chinese team.

Figure 15. Global AI Enterprise Distribution (Tencent Research Institute, 2017)

5. Competitive situation analysis

5.1 purchasers

Artificial intelligence industry can be divided into basic layer, technology layer, and application layer from the industrial chain.

The "purchaser" here mainly refers to the purchaser of artificial intelligence in the application layer.

At present, it is widely used in the fields of finance, health care, education, security and so on.

We can look at it from the perspective of industry solutions ("AI+") and typical products (robots, smart speakers, smart cars, drones, etc.).

The buyers of AI+ are mainly enterprise users, while the traditional buyers are mainly large enterprises.

Take the financial industry as an example: large state-owned banks have become pioneers in the field of artificial intelligence. They have a large customer base, so artificial intelligence solutions significantly reduce operating costs.

Due to the gradual homogenization of supply-side competition in the application layer, the bargaining power of buyers has increased.

In intelligent hardware devices, the buyers of artificial intelligence enterprises are the majority of natural human consumers. At present, there have been some subdivided leading enterprise products in the market, such as DJI's drones and Xiaomi's Xiaomi speakers.

In these characteristic ecological chains, the bargaining power of buyers is weak, while in industries where fierce competition has not yet formed a monopoly pattern, such as smart cars, buyers have strong bargaining power.

Figure 16. Domestic AI Industry chain (Analysys, 2018)

5.2 competitor

In the artificial intelligence industry chain, due to the first-mover advantage, the basic layer is mainly in the hands of a small number of giants.

The competition in the field of technology layer is gradually intensified, which is due to the fact that the artificial intelligence industry iterates quickly, it is difficult to accumulate comparative advantages, and the algorithm differences among different manufacturers are small.

At present, the application layer is still in its infancy, and there are many enterprises involved, but the competition is still concentrated in a few subdivided areas.

Figure 17. Map of 77 artificial Intelligence Enterprises in China (Yiou think Tank, 2019)

5.3 substitutes

The development of artificial intelligence gradually shows the trend of infrastructure, and together with information and data, it has become one of the infrastructure of the future economy.

As the underlying technology of a class infrastructure, artificial intelligence contains a variety of different information technologies, which will be difficult to replace.

Figure 18. Distribution of artificial Intelligence in various Industries in China (Yiou think Tank, 2019)

5.4 potential entrants

The establishment time of Chinese AI enterprises is mainly concentrated in 2014-2016. After 2018, the competition pattern is gradually determined, the technological advantage of newcomers is small, the business model is single, so the number of enterprises set up is greatly reduced.

Figure 19. Establishment time and Industry Distribution of artificial Intelligence Enterprises in China (billion Euro think Tank, 2019)

6. Industry technology forecast

6.1 basic layer

Leading companies have accelerated the layout research and development of artificial intelligence chips.

At present, the types of artificial intelligence chips mainly include: GPU, FPGA, ASIC, brain-like chips and so on.

With the development and application of deep neural network (DNN), the computing requirements of its multi-level characteristics can not be met by the traditional CPU, while GPU has the parallel computing ability suitable for deep learning, and the attention is increasing day by day.

In addition, TPU and FPGA chips have also become fast-growing artificial intelligence chips. The manufacturers that lay out on the chip are mainly Nvidia, Intel, Qualcomm, ARM, Apple, Huawei and so on.

In addition, manufacturers actively layout the basic development framework-- the basic development framework occupies the core position of the connecting link between the preceding and the following in the artificial intelligence industry chain.

In the era of mobile Internet, Android system is loosely coupled with downstream cloud services through GMS, and tightly coupled with upstream chip and machine manufacturers through version control, realizing the closed-loop ecology of mobile Internet with Android operating system as the core.

In the era of artificial intelligence, the development framework also has the core position of Simi Android operating system, with the core role of leading the pace of industrial progress, driving hardware configuration, and the coordinated development of terminal scenarios and cloud services, occupying a key position as a connecting link between the preceding and the next.

Take the Google deep learning development framework TensorFlow as an example:

TensorFlow is closely tied up with Google Cloud, providing cloud machine learning services in a cloud platform model, and downwards tightly coupled with chip and hardware vendors for customized optimization. Google TPU is dedicated to TensorFlow.

6.2 Technical layer

Figure 20.AI Technology layer Development trend (gwgwymx,2018)

With the rise of the platform, technology, hardware and content resources have been further integrated.

The industries and scenes covered by artificial intelligence are huge, and a single enterprise can not involve all aspects of the artificial intelligence industry.

Manufacturers cut into the industrial chain based on their own advantages, and cooperate with other manufacturers to integrate technology, hardware and content resources to jointly promote the landing of artificial intelligence technology. With the development of technology, content and hardware, the platform rises further, and the ecological layout is becoming more and more important.

Artificial intelligence technology continues to sink into the vertical industry.

Universal artificial intelligence technology can no longer meet the needs of various industries, different industries have different application priorities, and data resources are also different, so market practitioners need to design different industry solutions according to the characteristics of the industry.

Artificial intelligence technology will continue to start from the scene to achieve technology landing, in the vertical industry, medical, financial, security, education, home and other industries have begun to take shape, with great prospects for future development.

6.3 Application layer

The energy efficiency of each link of artificial intelligence enabling medical treatment is beginning to show.

In recent years, with the deepening of the digitization of medical data, the breakthrough of deep neural network learning algorithm and the improvement of chip computing ability, the application of artificial intelligence in the medical field has set off the second wave-- it has penetrated into disease risk prediction, medical imaging, auxiliary diagnosis and treatment, virtual assistant, health management, medical research and development, hospital management, medical insurance control fees and other links, and achieved preliminary results.

Intelligent education accelerates education and teaching innovation at present, with the rapid development of artificial intelligence, big data and other technologies, intelligent education has become the direction of development in the field of education.

Intelligent education is changing the existing teaching methods, liberating teachers' resources, and bringing about profound changes to educational ideas and educational ecology. At present, the major developed countries in the world are accelerating the innovation of education and teaching, actively exploring new models of education and developing new educational products.

Intelligent transportation improves the level of urban management.

With the rapid development of the global economy, the accelerating process of urbanization, the growth of the number of motor vehicles, road traffic volume is increasing, a variety of traffic problems are prominent. The development of intelligent transportation can improve government management, improve user experience and promote urban development.

Artificial intelligence improves the ability of public safety.

Artificial intelligence has been applied to public security, anti-riot and anti-terrorism, disaster early warning, post-disaster search and rescue, food safety and other public services.

Through artificial intelligence, we can accurately perceive and predict the major situation of social security operation, improve the accuracy of public services, and ensure the safety of people's lives and property.

From the depth and breadth of application, the global artificial intelligence in the field of public services is still in the exploratory period.

III. Analysis of the current market situation

1. Market stage

The market stage is divided into: introduction period, development period, maturity period and decline period.

According to the 2018 emerging technology cycle published by Gartner, the technology related to artificial intelligence is still in the rising period of hype; that is, from the early to the middle stage of the development period, most of the emerging technology of AI will be applied within 2 years.

Figure 21. Gartner2018 Technology cycle (Garter,2018)

two。 Market scale

The global AI market is expected to be $1.2 trillion in 2018 and $3.9 trillion by 2022.

China's artificial intelligence industry is also in a stage of rapid development-China's AI market was 21.69 billion yuan in 2017, an increase of 52.8 percent over 2016. It is expected to continue this growth rate in 2018 and is expected to exceed 70 billion yuan by 2020.

What's more, according to the three-step strategic goal of the "New Generation artificial Intelligence Development Plan" issued by the State Council in July, 2020, the scale of China's artificial intelligence core industry will exceed 150 billion yuan, driving the scale of related industries to exceed 1 trillion yuan. In 2025, the scale of core industries will exceed 400 billion yuan, driving related industries to exceed 5 trillion yuan. In 2030, the scale of core industries will exceed 1 trillion yuan, and the scale of related industries will exceed 10 trillion yuan, which is a huge space.

Among them, the calculator vision market with biometrics, image recognition and other technologies as the core is huge, accounting for 34.9%.

Figure 22. The scale of China's AI market (China Industry Information Network, 2018)

Figure 23. Market structure of artificial Intelligence in China (Tsinghua University, 2018)

IV. Micro-analysis

1. Application scenario

Artificial intelligence has brought change and reconstruction to various industries.

On the one hand, apply new technology to existing products, innovate products and develop new application scenarios.

On the one hand, the development of technology has also subverted the traditional industries, and the substitution of artificial intelligence for artificial has become an irreversible development trend, especially in industry, finance, agriculture and other simple repeatable and programmable links. In national defense, medical, driving and other industries, artificial intelligence provides specialized services that can adapt to complex environment, more accurate and efficient, so as to replace or strengthen the traditional manual services, and the forms of services will tend to be personalized and systematic in the future.

For the application of artificial intelligence: technology platform, industrial application environment, market, users and other factors have a great impact on the industrial application market of artificial intelligence.

At present, the main application scenarios of artificial intelligence technology include, but are not limited to: security, manufacturing, service industry, finance, education, media, law, medical care, home, agriculture, automobile and so on.

"how to realize the innovation of artificial intelligence industry itself?" And "how do I apply it to a specific scenario?" Will be the key point for the development of various industries.

two。 Competitive strategy

Under the trend of artificial intelligence platform, the future artificial intelligence will present a competitive pattern of several leading platforms and a wide range of scenarios, among which ecological builders will become the most important one.

Model one: ecological builder-the whole industry chain ecology + scene application as a breakthrough.

Mainly Internet companies, long-term investment in infrastructure and technology, while using scenario applications as traffic entrances, accumulate applications, become the leading application platform, and will become artificial intelligence ecological builders (such as Google, Amazon, Facebook, Aliyun, etc.).

Key success factors: a large number of computing power investment, the accumulation of massive high-quality multi-dimensional data, the establishment of algorithm platform, general technology platform and application platform, scene application as the entrance to accumulate users.

Mode 2: the driver of technical algorithm-- technical layer + scenario application as a breakthrough.

Mainly software companies, deep ploughing algorithm platform and general technology platform, while taking the scene application as the traffic entrance, gradually establish the application platform (such as Microsoft, IBMWatson, etc.).

Key success factors: deep ploughing algorithm and general technology, establish technical advantages, at the same time take the scene application as the entrance to accumulate users.

Mode 3: application focuser-scene application.

Mainly start-up companies and traditional industry companies, based on the scene or industry data, develop a large number of scene segmentation applications.

Key success factors: master market segmentation data, choose appropriate scenarios to build applications, establish a large number of multi-dimensional scene applications, capture users; at the same time, cooperate with Internet companies to effectively combine traditional business models and artificial intelligence.

Model 4: vertical domain forerunner-killer application + gradually build vertical domain ecology.

It is mainly a forerunner in the vertical field, accumulates a large number of users and data by relying on killer applications (such as travel scene applications, facial recognition applications, etc.) in the vertical field, and deeply ploughs the general technologies and algorithms in this field. Become subverters in the vertical field (such as DiDi, neglect technology, etc.).

Key success factors: in scenarios with a wide range of applications and massive data, killer applications can be launched first, thus accumulating users and becoming the leader of the vertical industry; by accumulating massive data, gradually expand to application platforms, general technologies and basic algorithms.

Model 5: infrastructure providers-cut in from the infrastructure and expand downstream of the industrial chain.

Mainly to chip or hardware and other infrastructure companies, cut from the infrastructure, improve technical capabilities, to the data, algorithms and other industrial chain upstream expansion.

Key success factors: the development of new chips with intelligent computing capabilities, such as images, voice recognition chips, and other extended chip application scenarios, in mobile intelligent devices, large servers, drones (vehicles), robots and other equipment and facilities are widely integrated to provide more efficient and low-cost computing power and services, and deeply integrate with related industries. (Boston Consulting, 2019)

At present, Internet companies and software company giants are laying out the layout in the technical layer and application layer of the industrial chain.

V. conclusion

The artificial intelligence industry is still in a period of rapid growth.

China is the country with the fastest development and the best prospect in the field of artificial intelligence in the world, and has led the world in some indicators. In the next five years, the artificial intelligence industry will continue to grow at a high speed.

At present, there are still some subdivided vertical areas that need to be developed, which can be started from the following aspects:

The basic layer and technology layer of artificial intelligence are gradually controlled by giants, and the landing of the application layer is still in its infancy. Therefore, if startups do not have a greater comparative advantage, they should focus on developing the virgin land of the application layer.

With the vigorous development of various emerging technologies, the company should make full use of the existing and developing advanced technologies such as machine learning, artificial intelligence, voice recognition and portrait recognition to empower products.

According to the capital preference, the current field belongs to the market stage, make full use of the forerunner advantage, layout in advance to rapidly improve product awareness and seize the market ahead of time.

Monitor and deal with possible risks at any time according to the competitive situation.

As the laws of artificial intelligence at home and abroad are gradually improved, they should be laid out in advance to avoid legal risks.

All the contents of this material come from the public materials on the Internet, and have been sorted out and summarized to form this document, which is for study only.)

References:

The part of national policy analysis is quoted from Guo Wei, artificial intelligence industry technological innovation alliance.

The economy of Deqing was newly created. (2019). Policy interpretation I artificial intelligence policy summary.

(the text section of the local policy analysis is also quoted from the link)

The legal analysis part of this article is quoted from the legal Daily. What status should the law give to artificial intelligence? Realize the overlap with human intelligence.

Tsinghua University. (2018). Global White Paper on artificial Intelligence. 2019.

Baidu (2019). Baidu artificial intelligence search index

Billion Euro think tank. (2019). 2018 Research report on China's artificial Intelligence Investment Market.

Tencent Research Institute. (2017). 2017 White Paper on Global artificial Intelligence talents.

Analysys Consulting. (2018). Artificial intelligence industry chain.

Gwgwymx. (2018). CSDN.

The development trend partly comes from China Information and Communication Research Institute and China artificial Intelligence Industry Development Alliance. 2018. White Paper on the Development of artificial Intelligence.

Garter. (2018). Gatner hype cycle.

China Industrial Information Network. (2018). Market size Forecast and latest Policy Analysis of artificial Intelligence in China in 2018.

Boston Consulting. (2019). Five types of artificial intelligence competition models will emerge. Big data is a strategic competitive advantage.

This article comes from the official account of Wechat: everyone is a product manager (ID:woshipm). The author: be good again.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.