In 2017, artificial intelligence is infiltrating the traditional industries of some new ToB (business commerce) and ToG (government governments).

Unlike the Chinese smart speaker market, the fierce battle entered the second half, and the smart driving field entered the legal stage. In 2017, artificial intelligence is infiltrating into the traditional industries of some new ToB (business commerce) and ToG (government governments).

From the cooperation of the four state-owned banks and Internet companies in the field of smart finance, to the Shenzhen AMB more than three times the daily traffic, to the birth of China's first artificial intelligence lawyer, numerous events behind the AI ​​in various traditions The rise of the industry.

ToB: Smart Investment

In the real world scene, smart investing is AI becoming another popular theme in the financial field in 2017. In the broad sense of the term, smart investment advisers are referred to as digital investment advisors. The U.S. Financial Services Supervisory Authority defines digital advisors as follows: Machines are used to replace manual investment consultants to complete one or more core links in the investment consulting process.

Usually referred to as Robo-Advisor, that is, based on the risk tolerance level, income target, and style preference provided by individual investors, using a series of theoretical models such as intelligent algorithms and portfolio optimization to provide users with final investment references and market Dynamic advice on asset allocation rebalancing.

According to BIIntelligence, a consulting firm of BusinessInsider, the total assets of global intelligent investment management will reach 8 trillion US dollars by 2020, and if the proportion of sustainable investment is still 28%, it can be equivalent to a US$2 trillion. Huge market.

The traditional financial industry's 2017 AI layout means that smart care buyers have entered a new stage. In September, the Bank of China and Tencent signed the "Comprehensive Strategic Cooperation Agreement." The four major state-owned banks have all achieved cooperation in the field of artificial intelligence. ICBC chose Jingdong and Construction Bank to join hands with Alibaba and Agricultural Bank to cooperate with Baidu. The cooperation between the two parties in terms of scenario cooperation, application of information technology, and sharing of customer resources has further accelerated AI's penetration into the financial industry.

In November 2017, China Financial Group's financial accounts opened to small and medium-sized financial institutions and exported a full set of smart loan solutions called Gamma. Ye Wangchun, chairman and CEO of the company, publicly stated that artificial intelligence (AI) is widely used in the financial sector and has driven banks into a new era of finance.

The internet finance companies represented by Ant Financial Services and Baidu Stock Exchange have "swords" this year. Ant Financial, the wealth management platform under Ant Financial, announced for the first time that it will open its latest artificial intelligence technology to financial institutions. "According to the research of Ant Financial Services, AI's capabilities will help financial institutions from the aspects of "understanding users", "optimizing investment strategies" and "matching users and financial products." Fan Zhiming, president of Ant Financial Services Group, said publicly.

A group of start-up companies have grown up in the vertical fields of smart investment advice. Miyaki received a Pre-A round of financing in March 2017. Blue Ocean Fortune had 15 million Pre-A rounds of funding one year earlier, and Block Box had completed Series C financing two years earlier.

Li Juan, general secretary of the Shanghai Financial Information Industry Association, publicly stated that the current artificial intelligence is still at an early stage. Whether it is a securities company, an innovative internet finance, or a traditional banking institution, it still faces the integration and application phase of basic data. And she said that all current financial institution data are independent. How to form a very perfect artificial intelligence analysis also requires a very long way to go.

ToG: Security Landing

For the first time in the fair of AMB in 2017, the actual daily traffic was three times more than expected. The audience came from industry professionals, manufacturers and customers. However, the output value of the security industry has not tripled in the past two years. According to data from China Annet, the total output value of China's security industry in 2016 reached 568.7 billion yuan, accounting for about 7% of GDP, and the industry scale increased by 17% year-on-year.

Many exhibitors told the Economic Observer reporter that everyone wanted to see how AI landed in the security industry. According to the current AMB materials, more than 70% of the companies mentioned artificial intelligence in the explanatory materials. These enterprises are not only mid-stream software and hardware providers, but also include upstream components, integrated machines, and downstream security inspections, gates, etc. Terminal Equipment.

80% of information equipment in the security industry depends on video products. According to the “2016-2022 China Security Market In-depth Prospects Forecast Report” by Zhiyan Information, the market size of China's video surveillance market has reached 100 billion yuan in 2015, accounting for 2/3 of all electronic security products.

Compared to the traditional way of using human eyes to watch security video, artificial intelligence is far more than the human eye's machine recognition rate. It is applied to three types of traditional video surveillance scenes, including public security enforcement detection, government smart cities, and building monitoring, to accomplish target detection, tracking, and goals. Property extraction.

In the year of 2017, security startup companies reportedly rushed through the AI ​​sector to raise funds. In October, Gentile Technology announced a US$460 million Series C round of financing, which refreshed the 410 million US dollar B round that Shangtang Technology established in the AI ​​industry two months ago. Financing records. Compared with traditional security software and hardware providers, startup companies are more inclined to artificial intelligence technology development and application.

In 2017, Hikvision, which had a market value of approximately 370 billion U.S. dollars, and UOB shares with a market value of approximately 70 billion yuan still ranked first in the industry, compared with the assaults by startup companies. Under the homogeneity competition of traditional security monitoring equipment, deepening artificial intelligence has become the best path for companies to upgrade their original products.

In 2016, Hikvision released a series of products such as "deep-looking" cameras, "ultra-brain" NVRs, and "face" face analysis servers. According to the analysis of China Merchants Securities, Hikvision has four major advantages: smart security equipment, big data resources, deep learning algorithms, and downstream customers. Already, AI giants such as Nvidia and Intel have released a variety of front-end smart and back-end smart products, which have been used in batches in government, public security, and transportation industries.

There is no doubt about the advantages of traditional security vendors in channel and VIP relationships, which is also determined by the characteristics of the security industry. The security industry chain is relatively complete with upstream components, midstream equipment, integration and operations. The downstream customers are mainly government, public security, transportation, and intelligent buildings. The start-up companies that are ubiquitous in the middle reaches can openly participate in the bidding process, but at present, they generally need to use the way they work with their peers or general contractors to face downstream customers.

How to deepen the application of artificial intelligence in security scenes is becoming a breakthrough opportunity for startup companies. In order to upgrade the technology of multiple subdivisions of artificial intelligence involved in security monitoring, the technical personnel in these fields have become the focus of traditional and emerging security companies, due to several corporate cultures, salary levels, and options incentives of Kechuang's engineers. The advantages of the project are more favored by technical talents.

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