Netease Technology News December 18 news, 2018 NetEase economist annual meeting artificial intelligence forum, the door CEO, will venture capital founding partner Gao Xinxin presided over the round table conversation. Among the guests who participated in the roundtable talk were Xiangsong Yao, deputy director of the International Monetary Institute of Renmin University of China, Liu Zhixin, chief scientist of SF Artificial Intelligence, Fluent English, co-founder and CTO Hu Zheren, and Yang Ling, co-founder of Turing Robotics.
Which financial scenarios are most suitable for landing today? In response, Xiang Song stated that the two most talked about words in the financial industry today is Fin-Tech, which is divided into a Rec-Tech. There are many AI-related items in Fin-Tech, such as domestic There are a lot of smart banks, there are payments, such as WeChat payment, Alipay, or many other are closely related to Fin-Tech, domestic banks have launched face recognition, fingerprints and so on. The other is the excavation of customer data, using knowledge maps to help banks find all the loan-related companies.
Regarding AI's impact on the financial sector, Xiang Song believes that in the previous two years, Oxford University had a very well-known study that, by 2050, 28 industries around the world will be replaced by artificial intelligence and robots, and the highest possible replacement rate will be 100%. No one needs to do it, and all are replaced by artificial intelligence robots. The degree to which the financial industry has been replaced is close to 70%. It can be imagined that future stock speculation will no longer need to listen to wealth analysts, stock analysts, and robots. JPMorgan's CEO has declared that we are now a technology company. Why do you say so? Their bank corporate loan accounted for 1/3 of the entire bank, so in the field of artificial intelligence, especially in relation to Fin-Tech, in the financial sector, I believe that perhaps it is the deepest application in all fields, and it is the most Wide.
In the field of logistics, what kind of role does artificial intelligence play? Liu Zhixin said that the data is not only logistics information. The best chance to understand your whereabouts in China is Shunfeng Xiaoge. He knows when you are home and when you are in the company. In fact, this example illustrates the fact that the dimensions of our data are very close to the actual data of a concrete physical world. At the same time, we also have many channels to make good use of this data and do a lot of work.
In the field of education, what can artificial intelligence do? Hu Zheren believes that education, unlike finance and logistics, is an area that is less affected by technology. Jobs once thought that PC would promote the reform of education, but everyone found that there has been no major change in education. English fluency is based on tools. On the basis of tools, self-developed content, extended adaptive learning, combined with AI technology such as speech recognition, natural language processing, and recommendation systems, a product is introduced. The benefits are: The learning path has been digitized, and the company has obtained data to better recommend and improve services.
Yang Ling of the Turing robot thinks that compared to finance, logistics and education, children are areas of less consideration in artificial intelligence. Adults, whether working or studying, have very mature and convenient platform products, but children can There are actually very few things to use. They also need to communicate, learn, interact, and so on, so children tend to indulge in electronic products designed for adults. This indulging in this is very detrimental to the growth of children. He hopes to use AI products to create safer, better products for children. This product must be a better interactive experience, educate people like music and emotional companionship, and give them the best childhood full of good memories. .
The following is a record of the content of the round table conversation, slightly edited.
Gao Xinxin: Hello, everyone. I'm Gao Xinxin. I'm the host of today's roundtable. Today, our theme is artificial intelligence. The round table just now bears the discussion of technological development and change. Our round table will carry a mission called "AI application landing" and speak with products. Because AI is a developing technology, it can already play a huge value in today's work and life, activating a new scene. The next round of guests will share with you how they think about AI landing and how to practice AI. Or do we have to do such a thing, that is, we must first ask each guest to briefly introduce themselves and their four companies in one or two sentences. Ask the director first.
Xiang Songsong: Hello, everyone, I'm Song Song. NetEase's economy invited me to attend the meeting and asked me to participate in the Wealth Management Forum. I said that the Wealth Management Forum has participated too much, so I asked to participate in artificial intelligence. I came here. Learning, I am not an expert in artificial intelligence. Of course in the financial and banking industries, everyone is talking about the use of artificial intelligence. So I am very happy to discuss this topic with everyone.
Liu Zhixin: Hello everybody, my name is Liu Zhixin. I am now working on artificial intelligence in SF Express. I am doing some product work with specific application scenarios. I myself also joined SF last year and found that there are actually too many things that can be done in this industry, and every little bit of progress can bring great rewards and improvements. So I think the work in this area is actually quite Interesting, I hope I can share with you more about this feeling. Thank you.
Hu Zheren: Hello everybody, I am Hu Zheren, a co-founder and CTO who speaks fluently. I am very happy that NetEase invited me to participate in this event. Fluently said that one of the most important applications is called English fluency. It has been launched for about four years and now has more than 50 million registered users. In particular, a course based on artificial intelligence teachers launched in July last year, called English, was introduced last year. In the future, there are more than 1 million paying users. We have many explorations and many applications in artificial intelligence. The most prominent and most important is that we create a model that best understands China through more than 800 million minutes of data accumulated by us. Man speaks English engine. Regardless of whether it compares with top-notch companies at home and abroad in many public meetings before and we compare it with a very top company in the country on the day before yesterday (Saturday), basically this one is in the world. the best. thank you all.
Yang Hao: Hello, everyone. My name is Yang Hao. I am from Turing Robot. I'm the co-founder of Turing Robot. Now I am responsible for the product technology. Turing robots may now know more about our voice and dialogue system. Its implementation has already done a lot of productization and landing work in children-related fields. This section will also have some experience to share with you. Thank you.
Gao Xinxin: Thank you for the introduction of the distinguished guests. Next I will ask them one by one. First of all, I would like to ask the director and the director of the institute. I must ask you, or a financial issue. As we all know, in fact, the degree of digitization in the financial industry is relatively high and the information is relatively high. Therefore, in the process of artificial intelligence landing in this industry, it is often the first attempt to take finance. Two guests of the previous round of guests are already in the process. Financial innovation has been tremendous, and many users have received such a situation. I would like to ask the director. As an expert in finance, you look at artificial intelligence technology. Which financial scene do you think is most suitable for landing today? Which are ignored by us and should go to the ground? And what impact will the entire artificial intelligence have on the financial industry?
Xiang Songxi: Thank you for your question. In fact, you are very right. Financial industry because it is a data industry, it is a big data industry. So now I actually don't know how to define the artificial intelligence. I just discussed it in the front and I listen carefully. In fact, artificial intelligence, how to define AI? What is artificial intelligence? It is difficult to have a clear definition of its implementation, but in fact, we talk about the most common words in the financial industry today. One is Fin-Tech, and the other is a Rin-Tech. There are many in Fin-Tech. Related to artificial intelligence, for example, there are a lot of smart banks in China, there are payments, such as WeChat payment, Alipay, or many other are closely related to Fin-Tech, domestic I know [such as Minsheng Bank, also There are China Merchants Bank, there are many other banks have launched face recognition, fingerprints and so on, of course, to provide customers with more convenient, for example, you go to withdraw deposits, or do business, the first is to make you very convenient, at the same time Increase security. The other is the mining of customer data. There is a company called Haizhi Technology. I have seen all of their products. Several banks are using them. They help the banks to use the so-called concepts called knowledge maps. The knowledge map should be AI. A concept of the domain, using knowledge maps to help banks find related companies in all loan families, because we know that one thing bank is very important now is that the guaranteed company is your business, but you use someone else's name and it looks like you It's irrelevant, but it's completely yours. With a guarantee chain and a guarantee circle, there may be more than a dozen companies. How can we find it? Therefore, the concept of knowledge map can help banks to identify the potential risks of customers. The application here is very, very extensive. For example, in the United States, for example, JPMorgan Chase, the CEO declared that we are now a technology company. Why? Their bank corporate loan accounted for 1/3 of the entire bank, and it wasn't right to know exactly who took the loan. He said that the number of corporate loans was more than that of Microsoft, so he thought he was a complete technology application company, so it was artificial. In the field of intelligence, especially related to Fin-Tech, in the financial field, I believe that perhaps it is the deepest and most widely used in all fields.
Gao Xinxin: Thank you to the director. I will also ask you some questions for a while. Next, I would like to ask Mr. Zhi Xin. Just now Teacher Zhixin has shared with us a little bit about the application of logistics in artificial intelligence, but the technology is always to make our life have a better experience. Now our living experience is particularly good. What you want to order online will be delivered to your home. In 2015, China's express delivery volume has exceeded 20.6 billion yuan. This time, it needs 2 million express couriers. It should have reached or is about to reach 100 billion yuan in China's express delivery business. Thanks to the technical means to serve a very good living experience for people just now, Zhixin teacher has already mentioned the application of artificial intelligence in the field of logistics. I would like to ask Mr. Zhi Xin to explain it to us. The whole consideration of SF Express is in the logistics industry. In the field, what are the scenes where artificial intelligence can be landed? Can we help us quickly today?
Liu Zhixin: Thank you. In fact, we have just shared with you some small examples and are some of the related work we have recently done. I want to talk about the role of data and technology in logistics from several dimensions. The first is data. Many people may ask me that SF's data includes a lot of order information, but it is far more than that. We also mentioned earlier that SF Electronics is a very strong data collector. To tell a joke, for example, in the United States, everyone would say that the best way to understand your family is not your wife, but the real estate broker in your home. The best you can know about your whereabouts in China is Shunfeng Xiaoge. He knows when you At home and when in the company. In fact, this example illustrates the fact that the dimensions of our data are very close to the actual data of a concrete physical world. At the same time, we also have many channels to make good use of this data and do a lot of work.
When I come back to this scene, I actually want to talk to you about my feelings. That is how we do this job is more of a matter of how to improve our performance within an industry. From these two dimensions, the first These are the characteristics of this industry. This industry tells everyone that apart from the labor-intensive types that people see, it is actually a computationally intensive and decision-intensive industry. I need a lot of calculations to optimize it, and I A large amount of consultation will happen every moment. There are many scenes in this area that can actually fall into place. For example, in terms of strengthening learning, reinforcement learning will make smarter, smarter decisions. In fact, there are many scenes that can be applied in these areas, and can really help us, how to make logistics more efficient and faster, and provide us with better services. The other is the service to the customer, for example to To B's customers will face many problems, such as the customer's risk management and so on. In fact, there are also many places that can be combined with internal and external data to dig and do. Thank you.
Gao Xinxin: Thank you. Next I would like to consult Hu Zheren, the co-founder of English fluency. The philosophers and I were former colleagues of the Microsoft Research Institute. The philosophers said that fluency in English now has more than 50 million registered users and 1 million. The paying users, who can service 1 million paying users, just proved that artificial intelligence is in the field of education, and English fluency is a very good place to fall. The question I want to consult with the philosophers is particularly relevant to today's round table topic. It is to use products to speak. So the philosopher mentioned that a product is an artificial intelligence teacher. I would like to ask if the philosopher can start to talk about what the product has broken through. Bottlenecks, what kind of problems are solved, and how does artificial intelligence apply to such products?
Hu Zheren: I think before I say this, I think I have to say something. I just said to the director that finance itself has a lot of advantages in the application of artificial intelligence. It means that its data itself is already in the past. At the time of the mainframe's emergence, many transaction data have already been digitized. But education is just the opposite. I expressed the same opinion on many occasions. Education has changed very little during the past 100 years or even longer. I would like to tell you another story. This story was when Apple’s Steve Jobs just launched the Mac2 in 1984. At the time of the interview, he was very excited. He said that Apple’s making of such a personal computer will eventually have a home in everyone’s home. PC, he was right in saying this. In addition, we all know that Apple has always been passionate about education. At the same time, he said one sentence. I think that the emergence of PC will cause major changes in education because of what kind of reasons. But unfortunately, after the launch of the PC, education hasn’t changed much. Even now, everyone sees that education is still a teacher standing on the top and facing dozens or hundreds. The situation is better and the expensive ones are There may be a dozen students who teach there. Education has always been a big problem, and the education itself is simulated. There is no digital record. The teacher's lesson preparation is on paper. The teacher's entire teaching process and learning process are also not digitized. Naturally, this industry is difficult Really changed by technology, including audio-visual education, reforms, and the like, in fact, there is no real change.
What have we done? Just as Gao Xinxin just said, we first introduced a product. We started with a tool-based product. We want to solve the problem that Chinese people cannot learn after listening to English for so many years. After starting with this tool, On the one hand, as a start-up company, we received a lot of data through a tool and through a product. On the basis of these data, we really started to expand into the entire teaching process. Of course, the biggest turning point, indeed, was in early 2015. We decided to really start using our technology to combine our own content. At that time, we also wanted to collaborate with a very large number of existing content partners. We talked to the top publishers both at home and abroad, but decided to do it ourselves. After 18 months of research and development, we launched this course in July last year and combined our technology, including natural language processing, and education. It is very popular to customize this kind of technology to do this product. The advantage is that basically we can digitize the entire process of the entire student's learning, because the content itself is digital, the mistakes made throughout the learning process, the time he spends on each course, etc., are digitally recorded and we Through such a data, he can serve him better, recommend him personalized content, and recommend different learning paths according to his own previous learning progress and his similar classmates' similar learning progress. So I think that in fact only in the form of such a product, we can truly digitize the content and digitize the user's learning path and learning process, so that we can really let the technology or artificial intelligence to be able to Education landed. I think this is some of the revelations and ideas we have gained throughout this time.
Gao Xinxin: Great! In this way, we can truly achieve a personalized experience and personalized content in education. Next I would like to ask Yang Lan, co-founder of Turing Robot. Turing robot is processed through natural language processing, knowledge base and cloud computing. In fact, it is a platform that empowers partners, empowers developers, and enables everyone to have voice processing capabilities. However, different from the top three guests, the Turing robot just mentioned, the recent development effort is not aimed at an industry, but for a group of people. This group of people is the group of children. Can you share with us why the Turing robot company has to focus on the excavation of this group of people? What products and research have we done for this group?
Yang Lan: Before the Turing robot we actually did a natural language understanding and system for a long time. During this time we tried different fields. Why did you focus on children in this area? In fact, there are many interesting contents that can be shared with you because we are more concerned than the others, such as our other, for example, financially related fields, education, including logistics. In fact, children pay less attention to this issue. Why consider children? The first one we found was that nowadays, whether we work or study, adults have very mature and convenient platform products. For example, our mobile phones, our computers, and our iPad can all meet the content we live and study. The content is very rich, but as the era develops, we find that there are very few things that children can use. They also need to communicate, seek knowledge, interact, and so on. This is on the one hand. On the other hand, if they don't meet these requirements, they usually use adult products, such as obsessing with TV, iPad, and using their parent's mobile phone or computer to access the Internet, but in most cases, the content, these services, and these interactions. Their indulgence, including their vision protection, is actually not considered for them, so indulging in this is very detrimental to the growth of children.
There is also a piece of material that we believe that children nowadays have very good material conditions, but now single-birth families, including compared to us, for example, we have brothers and sisters, they are very lonely and we hope to use AI products for children To create safer, better products, this product must be a better interactive experience, entertaining, emotional companionship and the like, give them the best year of full of good memories, but also we do this thing The original intention can also be considered some feelings.
In addition, we consider this child's AI service to consider three points. The first point is knowledge acquisition and knowledge acquisition. The big coffee here is doing artificial intelligence, doing research, and doing instant classes. Artificial intelligence products. From the point of view of landing a product, entering another field is nothing more than a solution: First, what is your user? What is the second product status? Where does the third data come from? Fourth, how to form a product closed loop? Children's products are actually the same. Our first step is to build it into a product that can listen to and talk about such products. In this case, we need to work with many good quality content providers, including educational and research institutions to create children of different ages. Segments of cognitive, language expressions and other products, so it will involve children's content, including some good education services, which is knowledge acquisition. The second is to shape the character. Here are two examples:
Case I: Some time ago we worked together with a children's hospital in Harbin to create a product. This product is actually mainly used for the interactive use of children with autism. For children with autism, we all know that this type of child is very difficult to focus on. Attention is even more difficult for some very experienced teachers. After creating this very lively and very vivid product, approximately 80% of the children in the sample of thousands are very willing to interact with it. Many children can play it one or two functions for a long time, and The viscosity is beyond our imagination. In this scenario, using the professional data in this scene to build some knowledge maps and designing a good interactive experience can enable these children to regain their ability and confidence to interact and interact with the outside world.
Example 2: Another product is a smart cup. This cup actually solves two pain points. One pain point is that parents should regularly remind children to drink water, which is a challenge for every parent. In the second, the child usually resists something. For example, if you let him drink water, he may resist or is not willing to drink water. This product is also a well-designed product that allows the entire interactive experience to be different from the normal drinking experience. He has a vivid interactive experience after drinking water, as well as rewards and social elements. As soon as a public listing is popular, no matter parents or children, it has largely solved the need to remind children to drink water. From this point of view, we hope to cultivate his moral character and habits.
In the end, I said that I would use more expertise. We now have a large number of products focused on children's robots, children's stories, children's smart products, and charging equipment. In fact, we also carefully analyzed a large amount of data. We found that different users in the same age group, such as language expression, memory, logic, in fact, the difference is very obvious, we can see that many children are They have their own specialties, so we think that this one can give the children some growth and can provide some good opinions.
Gao Xinxin: Yes, thank you.
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