The destiny of a person and an organization depends on individual struggles and historical processes.

Liu Qiangdong and the Jingdong Group he founded are the intertwined products of the times and individuals.

At the inaugural JDD (JD Discovery) conference, Liu Qiangdong said that he could not find such a huge opportunity in the past 20 years and in the next 20 years. The founder of Jingdong also said that it is impossible for all walks of life to undergo great changes like China, and there may be such huge opportunities.

This historical opportunity is artificial intelligence. For this reason, JD.com has decided to hold the highest-level technical conference of the whole group every year - JD Discovery/Data Conference, referred to as JDD.

Liu Qiangdong shared his views on AI technology and the era, entitled "AI is a way of thinking", introduced the application of AI in Jingdong, and the future prospects.

(Before speaking, Liu Qiangdong specifically emphasized eating breakfast to avoid being hungry again on the stage)

Mainly used in the retail supply chain and finance.

In terms of finance, Liu Qiangdong did not say that Jingdong Finance started late, but he also said that this also caused Jingdong Finance to lose a lot of burdens. From the beginning of its birth, it began to start business based on artificial intelligence and took root in quantitative transactions.

Liu Qiangdong also listed the results in terms of data. For example, in terms of risk control and bad debt rate, they all have stronger performance than traditional financial institutions. In terms of lending rates, etc., the efficiency of lending by traditional financial institutions has increased by 70 times and the cost has been reduced by 30%.

Regarding the future development strategy of Jingdong Finance, Liu Qiangdong also made it clear that it is necessary to build an ecosystem based on big data and artificial intelligence. Because a truly great company has always wanted to build a great ecosystem, Jingdong Finance is no exception, to be an enabler of the industry.

Secondly, the application of AI in Jingdong earlier and more core, the transformation of the retail supply chain represented by the three divisions X, Y and Z.

Liu Qiangdong said that the X division, which is mainly unmanned, now has a capacity of 100,000 single unmanned warehouses per day. There are 400+ logistics centers in China, and now it has basically realized the transformation of the logistics system with AI as the underlying technical capability. .

In addition, it is distribution. At present, Jingdong unmanned vehicles and drones are all in the sprint stage. The unmanned vehicles have completed the distribution test of major universities in Beijing, and next year's college scene distribution will all realize robot delivery.

The drone has completed a 170,000-hour flight test, with a maximum flight range of 240 km and a heavy-duty UAV with a load of 20 kg, which will officially take off and put into use next year.

Finally, Liu Qiangdong highlighted Jingdong’s “Z Plan”.

This plan of AI era parallel with X and Y focuses on the face of artificial intelligence, how to meet the opportunity to solve problems? For example, Jingdong's distributors should go where they are going in the future.

Liu Qiangdong said that the wave of technology cannot be rejected first because, historically, technology has never brought disasters, even nuclear weapons have never been used in unjust wars.

Therefore, he said that he has always been passionate about technological progress. There are problems that need to be faced, but you can't be afraid to wait.

Liu Qiangdong also talked about an example of "Ci Xi repels the train", saying that it was Cixi who opposed the technological progress and eventually ruined his own dynasty and future.

Jingdong, who embraces AI, where should a large number of dispatchers go?

The Jingdong helm is screaming: one does not abandon, does not give up.

"In the future, the distribution will be replaced by AI. My brothers can sit in the office and monitor the drones and distribution robots. We now have 800 unmanned vehicles, 30,000 unmanned distribution stations, and a lot of maintenance. People."

In addition, there are many art creation related work that AI cannot replace. Liu Qiangdong believes that after human beings are liberated from heavy work, they can exert subjective initiative in more places where creativity is needed.

"Science and technology applications cannot be at the expense of humanistic care." Liu Qiangdong said.

Shen Nanpeng: China has invested 8 billion US dollars in AI.

After Liu Qiangdong, Shen Nanpeng, global executive partner of Sequoia Capital, published VC's views on the wave of artificial intelligence technology with the title of “Data and AI Create New Product Opportunities”.

Shen Nanpeng said that the hottest word three or four years ago was big data; the hottest word one or two years ago was artificial intelligence. The Spring River Plumbing Duck Prophet, for the perception of this wave of artificial intelligence, the business community and the investment community in no particular order, the business community reacted very quickly.

He explained the reason behind this: The reason why this wave of AI waves is so much concerned is because it really sees its application value.

"Ke Jie lost, but it can be said that humans have won. Because humans bring artificial intelligence to the ultimate application."

The well-known VC also used data to illustrate: As of now, in terms of artificial intelligence investment, the global cumulative total of 30 billion US dollars, China has invested 8 billion US dollars, China's 50% of investment activities related to AI, there are more than 1000 + artificial intelligence enterprise.

In addition, the number of AI patents has grown at a high rate, and China even has a 52% advantage, ahead of 34% in the United States.

The reason why there is such data, Shen Nanpeng believes that China's accumulation in big data is inseparable. He said that big data is the premise of AI. Chinese companies have been rapidly digitizing in the past 10 years. There are two specific points: 1) public cloud computing platforms have accumulated a large amount of data; 2) many leading companies have realized the importance of data and established A unified data center.

Such accumulation has also reached a node that plays a role in the AI ​​era, and the data + AI can bring huge efficiency improvement to the original industry, and strongly support the real economy to achieve change and growth.

Shen Nanpeng believes that before the AI ​​era, China has deep industrial development advantages, which are manifested in three aspects: 1) a large number of software engineers reserve; 2) a large number of Internet users available for testing; and 3) strong support of policies.

He also listed the main applications and exploration directions of Chinese enterprises for AI. There are four major categories:

1) basic services, data centers and cloud computing platforms;

2) Hardware products, intelligent robots and smart chips;

3) Industry applications, opportunities for various intelligent service products in the industry;

4) Technical capabilities, machine vision and machine learning.

Among these applications and exploration directions, Shen Nanpeng is most optimistic about the current application of AI in the financial industry. He said that the highly data-based financial industry is the best applied industry for AI.

There are five aspects that make him confident in the financial transformation of AI.

1) AI helps financial companies to authenticate their identity and improve the accuracy and efficiency of certification;

2) AI helps financial companies to conduct better risk management and risk control management, draw a clear picture of the user from browsing data, e-commerce, social, etc., and complete the risk control judgment in a few seconds;

3) AI helps financial companies better conduct user insights and personalized operations;

4) AI helps financial companies to complete a lot of repetitive and tedious work, saving manpower and providing efficiency. JP Morgan canceled the manpower work for loan review last year, which is a substitute for white-collar high-knowledge work;

5) AI helps financial companies interpret market information, plan investment strategies, and automate transactions. Wall Street is basically using AI for quantitative trading. Not too far from the general AI.

Finally, the head of the Sequoia Capital China Fund concluded that the industry brought by AI will definitely shine, which will bring more surprises to enterprises and society.

At the JDD conference, there were also big coffee from the academic circles to share on the spot.

Gao Wen, an academician of the Chinese Academy of Engineering and a professor at Peking University, spoke at the scene about the recent AlphaGo Zero. Gao Wen said that as long as the three conditions are met, the AI ​​system does not need external data support. These three conditions are: 1. The collection is closed. 2. The rules are complete. 3. Constraints are limited (no recursion can be).

However, external data will be relied on in practical applications such as retail and logistics.

Looking at the development of artificial intelligence, Gao Wen said that artificial intelligence now has a long way to go after the stage of “just entering elementary school”. "Artificial intelligence has at least 10-20 years of good life." Gao Wen pointed out that in the future, it is necessary to rely on learning and relying on the research of its own to continue to promote AI forward.

Yang Qiang, director of the Department of Computer Science at the Hong Kong University of Science and Technology, and AI, talked about AI from both business and research.

Yang Qiang pointed out that the artificial intelligence business model has three main points: first, the closed-loop path should be short enough, and the second feedback should be high enough, and the third feedback must have a compound effect.

At what stage is the field of artificial intelligence? From a technical point of view, Yang Qiang enumerated several directions: 1, vision 2, natural language understanding 3, intelligent recommendation 4, migration learning.

Yang Qiang also introduced this year's JDD data contest. The four competitions included a “pig face recognition” project. Yang Qiang said that the identification of pig face can obtain a large amount of biometric identification data without worrying about privacy issues, and there are practical commercial application scenarios behind it.

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