Data Interpretation: 14 Human Intelligence Segments of Capital Chase

Deep learning has made breakthroughs in the application research in the field of image recognition and speech recognition. The “artificial intelligence” that has spanned more than half a century and several times of ups and downs has revived, and the pace of technological transformation has accelerated.

Some investment institutions with a keen market sense began to input small funds to artificial intelligence innovation companies in 2012. Two years later, in 2014, the artificial intelligence private equity investment market officially began to perceive artificial intelligence business opportunities, and a large amount of funds. Admission is a sign of the arrival of investment.

In the past seven years, China’s private equity investment market has invested about ￥365.86 billion in artificial intelligence. Where did the billions of funds flow? Which segments of the various industries touched by artificial intelligence applications are most sought after by capital? In the newly launched "2018 China Artificial Intelligence Investment Market Research Report", the most sought after secondary industries in 14 industries such as finance, security and health were explored.

First, intelligent finance - intelligent risk control

In the field of intelligent finance, artificial intelligence is mainly used in four major areas: insurance technology, intelligent risk control, smart investment and smart investment. Among them, the intelligent wind control field has been voted 62 times, accounting for 65.1% of the total investment in smart finance. It is the most sought-after application field in the field of smart finance.

According to the observation of Yiou Think Tank, risk control is the most important content in the financial field. A large number of technical talents from the background of banks have established enterprises to engage in product research and development in the field of financial risk control. At the same time, commercial banks and Internet financial institutions are Construction of an intelligent wind control system.

Second, intelligent security - identity authentication system

In the field of intelligent security, artificial intelligence is mainly used in five areas: identity authentication systems, smart cameras, vehicle big data, video analysis and home security. Among them, the identity authentication system has been voted 39 times, accounting for 47% of the total investment in smart security, and is the most sought-after application field in the field of intelligent security. In addition, smart cameras and video analytics are also hot investments in the field of smart security.

The advancement of biometrics such as face recognition, fingerprint recognition, voiceprint recognition, vein recognition, and iris recognition has created new vitality for the security industry. In particular, face recognition technology has been widely used, and the face recognition gate channel and the face recognition depth camera have attracted much attention.

Third, AI + big health: intelligent imaging diagnosis and treatment

In the field of AI+ big health, artificial intelligence is mainly used in six areas: intelligent imaging diagnosis and treatment, medical data mining, intelligent consultation, voice electronic medical records, health management, and drug mining. Among them, intelligent imaging diagnosis and treatment has been voted 82 times, accounting for 57.7% of AI+ big health investment in the whole field, which is the most popular application field in AI+ health field.

The diagnosis and treatment plan based on medical images such as X-ray, CT, MRI, etc. is a natural high-quality landing scene for image recognition. Intelligent imaging diagnosis and treatment system, mainly for lung cancer, breast cancer, esophageal cancer, stroke, retinal retinopathy and other diseases, including lesion identification and labeling (diagnosis), automatic planning of organs and target areas in the radiotherapy program (treatment links) .

Fourth, smart driving - ADAS system

In the field of intelligent driving, artificial intelligence is mainly used in three major fields: ADAS systems, automatic driving algorithms and vehicle-mounted interactive systems (laser radar and other sensor devices, which were classified as "basic components" in this study). Among them, the ADAS system field has been awarded 50 times, accounting for 47.2% of the total investment in intelligent driving. It is the most sought-after application field in the field of intelligent driving. Autopilot algorithm companies are close behind.

ADAS is considered to be the initial stage of autonomous driving, and is in the L1 and L2 stages in terms of intelligence. Many autopilot algorithm companies, while developing and training automated driving algorithm models, are also launching ADAS products to ensure that companies have revenues at all stages of the industry's growth. The development of autopilot algorithm companies depends on the common advancement of all links in the entire industry chain, such as the reduction of laser radar costs. In the early stages, it is important to ensure that companies have sustainable financing capabilities.

5. AI+ Enterprise Service - Intelligent Marketing

In the field of enterprise services, artificial intelligence is mainly used in five areas: intelligent marketing, intelligent customer service, data annotation, business decision-making and smart recruitment. Among them, the intelligent marketing field has been voted 62 times, accounting for 33% of the total investment in enterprise services, followed by financing of intelligent customer service and business decision-making.

Enterprise service is a field where artificial intelligence is quickly established, especially in the form of intelligent marketing, intelligent customer service and business decision-making. Advertising marketing companies in the Internet and mobile Internet sectors have accumulated a large amount of user behavior data, and the natural data foundation has been combined with artificial intelligence. Speech recognition and semantic generation are the core intelligent voice technology advancements, making it possible for machines to replace humans to complete repetitive customer service work. The intelligent customer service can save a lot of labor costs for enterprises. Business decision-making (BI) has a long history. Based on the capabilities of data mining technology, it can provide multi-dimensional and flexible data decision support services for various industries.

Sixth, robot - service robot

Among all kinds of robots, service robots have the highest number of shots, and have been voted 45 times, accounting for 35.8% of the total investment in robots. Warehousing/logistics robots and industrial robots are also favored by capital.

The main service scenes of service robots include retail stores, government departments, railway stations, airports and other public places, and their landing speed is relatively fast. Warehousing/logistics robots are not new. As early as the beginning of this century, robots represented by automatic guided transport vehicles (AGV) have been widely used in production logistics systems. Industrial robots based on robotic arms have also been around for a long time. Due to advances in computer vision and SLAM, industrial robots have deeper application scenarios, which further enhances the automation of industrial manufacturing.

Seven, AI + Internet Service - Smart Recommendation

In the field of AI+ Internet services, artificial intelligence is mainly used in seven areas: security protection, translation, voice assistant, smart recommendation, picture/video processing, travel planning, and content production and review. Among them, the smart recommendation field has been voted 25 times, accounting for 26.6% of the total investment in AI+ Internet services, followed by image/video processing, translation, and voice assistants. The investment distribution in each segment is relatively balanced.

Most of the applications in this field are based on to C products, which is also one of the few areas of artificial intelligence products to C. Among them, intelligent recommendation mainly refers to Internet products supported by personalized recommendation algorithms, such as Baidu search, today's headlines, and pushes. The long history of intelligent recommendation algorithms is an important application of machine learning. Based on image recognition technology, mobile phone applications such as photo/video processing represented by Mito and Camera360 have emerged in large numbers, which are favored by mobile smartphone users. With the advancement of intelligent voice technology, translation and voice assistants have begun to become high-frequency products. The most typical ones are smartphones from major mobile phone manufacturers such as Huawei, Xiaomi, OPPO, and vivo. Translation and voice assistants have become the basis. Features.

Eight, AI industry solutions

The AI ??industry solution refers to a technology-based enterprise that provides solutions for multiple industries based on the capabilities of artificial intelligence technology. These companies form the technical layer in the artificial intelligence industry chain. However, with the gradual deepening of the exploration of commercial intelligence in the commercial landing, the technical platform of the technology platform that does not have the industry attribute has gradually become a short-term, including the unicorn enterprises such as Shangtang Technology and Defiance Technology, which have turned to the vertical industry. Develop smart products and services with industry attributes. This trend is particularly pronounced in 2018.

Nine, AI basic components - AI chip

There are five main categories of AI basic components: AI chips, millimeter wave radar, laser radar, computing modules and depth cameras. Among them, the AI ??chip field has been awarded 31 times, accounting for 34.1% of the total investment in AI basic components, followed by depth cameras and laser radar.

The basic components of AI form the basic layer of the artificial intelligence industry chain (the cloud computing is not included here). The reason why AI chips are sought after by capital is mainly from the computational requirements of deep learning algorithms represented by convolutional neural networks for dedicated chips. If the winner of the PC era is Microsoft - because the core of the Microsoft PC is the operating system, then the AI ??chip is likely to become the operating system of the artificial intelligence era. Today we have been able to see a large number of giants developed in the personal computer era, such as NVIDIA, Intel, and Inspur, and are working on AI chips.

The depth camera is mainly used for security (such as face recognition cameras), automatic driving sensors and mobile terminals (such as mobile phone 3D face recognition). As an important sensor for autonomous driving, laser radar is an industry that must be developed to achieve more advanced autonomous driving. Although the production capacity of China's laser radar is lower than that of overseas, with the support of national policies, a number of startups have emerged in the field of laser radar.

X. AI+ Education - Adaptive Learning

In the field of education, there are five main applications of artificial intelligence: adaptive learning, hierarchical reading, intelligent scheduling, intelligent evaluation and speech learning. Among them, the adaptive learning field has been awarded 30 times, accounting for 41.7% of the total investment in AI+ education. Secondly, the frequency of speech learning and intelligent evaluation is also higher.

With the knowledge map as the underlying technology, artificial intelligence is expected to break the past "egalitarian" teaching mode in the field of education, and truly develop a personalized learning program for students. This is also the core concept of today's major adaptive learning systems. However, due to the certain difficulties in the evaluation of teaching effects, how to scientifically evaluate the relationship between the use of adaptive learning systems and the learning effects of students is an important research topic.

The application of artificial intelligence in speech learning is related to the popularity of online English education products. The online English pronunciation learning tool represented by English fluency is inseparable from the maturity of intelligent speech technology.

XI, AI+ Retail - Product Identification

In the retail sector, there are four main applications for artificial intelligence: customer behavior analysis, product identification, logistics management, and self-service settlement. Among them, the product identification field has been voted 13 times, accounting for 30.2% of AI+ retail investment in the whole field, followed by self-service settlement and customer behavior analysis.

One of the important forms of new retail is unmanned retail. The realization of unmanned retail is inseparable from the high-accuracy product identification. The application of image recognition technology makes high-accuracy product identification possible. It is worth noting that there has been an explosive growth in the frequency of investment in the self-settlement sector in 2017. Customer behavior analysis is divided into online big data and offline big data. The essence is to build a consumer portrait, on the one hand to do quality control management, on the other hand to do personalized recommendations.

XII. AI+ Home Building - Smart Home Appliances

In the field of home construction, artificial intelligence has four main applications: smart home appliances, smart speakers, voice gateways and architectural design. Among them, the smart home appliance field has been voted 19 times, accounting for 50% of the total investment in AI+ home construction, followed by smart speakers.

This field benefits from the development of intelligent speech technology, and its imagination in the perspective of the Internet of Things is huge, that is, human beings can interact and direct actions with everything around them through voice interaction. In the field of smart home appliances, many large white power manufacturers are implementing voice control of home appliances through independent research and development and external technical cooperation. Whether smart speakers will become the entrance to smart homes, although controversial, there are already mature products available.

XIII. AI+ Industrial Manufacturing - Defect Detection

In the field of industrial manufacturing, there are three main applications of artificial intelligence: robot vision, defect detection and production optimization. Among them, the defect detection field has been awarded 14 times, accounting for 87.5% of the total investment in AI+ industrial manufacturing.

Defect detection is an important part of industrial manufacturing. The steps of defect detection are automatically completed by computer vision technology, which can greatly reduce production costs and reduce production risks. At present, a series of intelligent manufacturing and industrial big data platforms, including Tianze Zhiyun and Kunlun Data, are becoming more and more important directions for capital observation.

XIV, AI+ Law - Legal Advice

At present, there are still relatively few artificial intelligence applications in the legal field. The application direction with more investment is legal consultation, and its essence is intelligent customer service in the legal field. In addition, several companies have received financing in case predictions and document review.