Data Interpretation: 14 Artificial Intelligence Subdivisions of Capital Pursuit

In 2012, the application of in-depth learning in the field of image recognition and speech recognition has made a breakthrough, and the "artificial intelligence" which spanned more than half a century and several ups and downs has revitalized again, and the pace of scientific and technological transformation has accelerated.

Some investment institutions with keen market sense began to input small amount of capital to AI innovation enterprises in 2012. Two years later, in 2014, AI private equity investment market began to notice the business opportunities of AI. A large amount of capital entered the market, indicating the coming of investment climate.

Over the past seven years, in the Chinese private equity market, the amount of investment related to artificial intelligence is about 365.86 billion. Where is the flow of hundreds of billions of dollars? Which subdivisions are most sought after by capital in the industries where AI applications reach? In the latest "China Artificial Intelligence Investment Market Research Report 2018", the most sought-after secondary industries in 14 industries, such as finance, security and health, are excavated, as shown in the following figure.

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I. Intelligent Finance-Intelligent Wind Control

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In the field of intelligent finance, AI is mainly applied in four fields: insurance technology, intelligent wind control, intelligent investment and intelligent research. Among them, smart wind control has been invested 62 times, accounting for 65.1% of the total investment in smart finance, which is the most sought-after application area of smart finance.

According to Euro 100 million think tank observation, wind control is the most important content in the financial field, a large number of technical talents with banking background start up enterprises, engaged in research and development of AI technology products in the field of financial wind control; at the same time, commercial banks and Internet financial institutions are building intelligent wind control systems.

II. Intelligent Security-Identity Authentication System

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In the field of intelligent security, AI is mainly applied in five fields: identity authentication system, intelligent camera, vehicle big data, video analysis and home security. Among them, the identity authentication system has been invested 39 times, accounting for 47% of the total investment in the field of intelligent security, which is the most sought-after application area in the field of intelligent security. In addition, smart cameras and video analysis are also popular investments in the field of smart security.

Advances in biometric technologies such as face recognition, fingerprint recognition, voiceprint recognition, vein recognition and iris recognition have created new vitality for the security industry. Especially, face recognition technology is widely used, which has attracted much attention, such as face recognition gate channel and face recognition depth camera.

III. AI+Great Health: Intelligent Imaging Diagnosis and Treatment

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In the field of AI + health, AI is mainly applied in six fields: intelligent imaging diagnosis and treatment, medical data mining, intelligent inquiry, voice electronic medical record, health management, drug mining. Among them, intelligent imaging diagnosis and treatment has been invested 82 times, accounting for 57.7% of the total investment in AI + Big Health, which is the most sought-after application area of AI + Big Health.

Diagnosis and treatment plan based on medical images such as X-ray, CT and MRI is a natural landing scene for image recognition. Intelligent imaging diagnosis and treatment system, mainly for lung cancer, breast cancer, esophageal cancer, stroke, retinopathy and other diseases, including focus identification and marking (diagnostic link), radiotherapy planning link organ and target automatic mapping (treatment link).

IV. Intelligent Driving-ADAS System

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In the field of intelligent driving, AI is mainly applied in three major fields: ADAS system, automatic driving algorithm and vehicle-borne interactive system (sensor equipment such as lidar, which is classified as "basic components" industry in this study). Among them, ADAS system has been invested 50 times, accounting for 47.2% of the total investment in the field of intelligent driving, which is the most capital-sought application area in the field of intelligent driving. Autopilot algorithmic companies followed.

ADAS is regarded as the initial stage of automatic driving, which is in the L1 and L2 stages in the degree of intellectualization. Many auto-driving algorithm companies, while developing and training auto-driving algorithm models, are also introducing ADAS products to ensure that enterprises have revenue at all stages of industrial growth. The development of Autopilot Algorithms depends on the joint progress of all sectors of the industry chain, such as the reduction of the cost of lidar. In the early stage, it is very important to ensure that enterprises have sustained financing capacity.

5. AI+Enterprise Service-Intelligent Marketing

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In the field of enterprise service, AI is mainly applied in five fields: intelligent marketing, intelligent customer service, data annotation, business decision-making and intelligent recruitment. Among them, 62 times have been invested in the field of intelligent marketing, accounting for 33% of the total investment in enterprise services, followed by the financing situation of intelligent customer service and business decision-making.

Enterprise service is an area where AI landed quickly, especially in the fields of intelligent marketing, intelligent customer service and business decision-making. Advertising and marketing companies in the field of Internet and mobile Internet have accumulated a large amount of user behavior data, which is based on natural data to quickly integrate with artificial intelligence. The progress of intelligent voice technology with speech recognition and semantics generation as the core makes it possible for machines to replace human beings to complete customer service with high repeatability. Intelligent customer service can save considerable human costs for enterprises. Business decision-making (BI) has a long history. Based on data mining technology, BI can provide multi-dimensional and highly flexible data decision-making support services for various industries.

6. Robot-Service Robot

Please read the Chinese versiong for details.