Investors tell you how fierce artificial intelligence will be in the next 3 to 5 years

Investors tell you how fierce artificial intelligence will be in the next 3 to 5 years

Before Google Alpha Go played against Lee Sedol, Facebook had claimed that it could also use AI to challenge the Go program, and Zuckerberg has made it clear that AI will be one of the core elements of Facebook's future development.

With Lee Sedol resigning, the fifth round of the "man-machine competition" came to an end, with AlphaGo defeating Lee Sedol, a Korean professional 9th ​​dan who has dominated the chess world for more than a decade, by 4:1. Artificial intelligence has once again set off a wave, and investors and entrepreneurs have focused their attention on it.

In fact, the development and application of artificial intelligence is far more than this. Before Google Alpha Go played against Lee Sedol, Facebook once challenged the Go program and claimed that it could also use AI to achieve it, and Zuckerberg has made it clear that AI will be one of the core of Facebook's future development.

On March 30, at the face-to-face investment and financing event in the field of artificial intelligence and big data held by Tiantiantou, we once again felt its popularity. The following are the views of investors.

Wang Xiao of Jiuhe Venture Capital: Artificial intelligence is driving the evolution of the Internet to the next direction, and data standardization is likely to form a breakthrough for entrepreneurship

We can make judgments from simple things. The so-called machine learning and big data are based on the accumulation and collection of data. Without this data, AlphaGo cannot play Go well. Recently, various smart hardware are good because they can receive a large amount of data that could not be collected before. With the combination of these data and big data algorithms, more things will be generated. Whether it is playing Go or something else, we can find a breakthrough point in the subdivided field.

Secondly, we look at this matter and see where data is more dense. Can we use satellite data to provide agricultural insurance, etc.? We can use some data and learning to form a closed-loop application in combination with the industry's own laws, that is, solving a problem can generate value. This matter has a foundation and requires the combination of data and industry to solve a specific problem. It is not realistic for artificial intelligence to solve the complex things we face. For example, autonomous driving is not complex, but companies like Google have spent a long time and so many people to solve it.

Where data is standardized, it is easy for startups to break through. For example, medical imaging, which I just mentioned, has been collected through the Internet and mobile Internet for many years. These things are easier to do. For example, traffic and satellite data, there is a lot of data, but because the computing power of machines is not enough, they cannot solve the problem. This is the trend and direction I see.

AlphaGo has indeed attracted a lot of attention. We know that changes in any industry are driven by intensive capital, and it is currently a landmark practice. Everyone believes that artificial intelligence has a great driving effect on many things. I personally believe that in the next three to five years, the field of artificial intelligence may drive the evolution of the Internet in the next direction. I attribute this evolutionary path to the intelligent Internet.

A major feature of the next generation of the Internet is that there are various types of data on the front end and big data models and deep learning algorithms on the back end to help it adjust its response strategies. This is a basic model.

Sun Gang of Gaowei Capital: Focus on projects that combine traditional fields with intelligent technology and big data

Simply put, the investment focus in the next one or two years will definitely be VR and AR. Through intelligent technology and big data, the application of rigid demand may be a hot spot that we pay close attention to. Its underlying is traditional industry, and through the integration of big data and artificial intelligence technology, it will have a qualitative difference. Therefore, we pay close attention to projects that combine traditional fields with intelligent technology and big data.

In addition, I personally discussed with the team and felt that there is a good demand for cultural entertainment. VR and AR are in many fields, such as live video and games, which are all related to this aspect.

Direction is not only about the field, but also about the location. Investors often talk about some Chinese projects, such as the risk-return ratio is not very good. Some go to Israel and Belgium to look at some projects. AlphaGo was created by 4 or 5 guys in London. Later, everyone knew that London is also strong in artificial intelligence. In addition to the field, location is also very important.

Lianchuang Yongxuan Tianye: Artificial intelligence vertical fields will be the first to achieve success

From an investment perspective, we believe there are several opportunities. First, from the perspective of artificial intelligence, we believe that in some vertical fields, the application of artificial intelligence can first succeed, or be industrialized. Because the amount of data in some vertical fields is relatively small, machine deep learning can provide better user experience. Among them, we are more optimistic about the application of artificial intelligence in the fields of medical care, transportation, etc.

From the perspective of robots, we have currently invested in the Robotics Group of Harbin Institute of Technology. We believe that in the next few years in China, there will be a huge demand for robots to replace people, and many companies will emerge in this field. As we all know, China has no advantages in the core and parts of robots, but there are still relatively large opportunities for the integration of robot technology combined with Chinese application scenarios. Many excellent companies will emerge in this field, which is also our key investment direction.

Mingshi Capital's Huang Mingming: Three major areas of future investment - travel, perception, and industrial robots

The symbolic significance of AlphaGo is even greater. After AlphaGo, the whole society has a relatively basic understanding of artificial intelligence. It is the first time that machines have defeated humans in judging such a complex situation, but it is still a long way from industrialization. The good thing is that through such an event, the whole society will focus on the field of artificial intelligence. I believe that it will promote the entire industry and drive a large amount of resources and capital to enter this industry; but we must also be sober and see that it is still early. Recently, many friends have asked me because this result has caused some panic.

From an investment perspective, we can see that the first area we just mentioned is the field of travel and autonomous driving. As you have studied, it is already a semi-mature technology in the United States. California has allowed it to run on the road by 2020. Chinese companies have opportunities in this field because the popularity of electric and new energy vehicles has given China's automobile industry the opportunity to overtake others for the first time. The future of transportation must be the UBER model plus the driverless model. We believe that personal travel tools based on future new energy and driverless functions will change human life in the future.

The second area is perception. Whether it is machine, vision, voice recognition, or image recognition, artificial intelligence will produce valuable areas. In fact, many companies have already made arrangements, including technologies such as lidar and indoor recognition. These are investment opportunities that can be seen in the next few years.

Third, our fund targets the domestic manufacturing sector. We believe that we have great advantages in the field of industrial robots, and we will continue to make plans around the upstream and downstream industrial chains of robots.

Li Jianwei of Zhen Fund: AR, VR and artificial intelligence will undergo tremendous changes in the next five years

VCs are all concerned about the same things. Everyone will look at a lot of cutting-edge things, such as robots, VR, AR, and big data. From the perspective of changes in life, we may have some ideas about the future. For example, in the future, it may not be in big cities, such as in the suburbs and rural areas of the United States. There will be some changes in transportation, such as drones, or surface warfare, which will not be aircraft carriers against aircraft carriers, but unmanned ships against unmanned ships, or unmanned aircraft carriers against unmanned aircraft carriers. Judging from the current development of perception technology and intelligent technology, it may be possible, so we are also actively planning some companies.

We think that VR and AR are a little early in terms of consumer applications, because the helmets are too large and heavy, which has a visual impact when worn, but is not very convenient. In the future, they will develop in the direction of being very lightweight. We will greatly underestimate the changes brought about by technology in five years.

Qiming Venture Partners' Ye Guantai: Artificial Intelligence + Big Data

I am an IT partner at Qiming Venture Partners. The company was founded 10 years ago and has invested in more than 190 projects in the fields of Internet, IT and medical technology. In IT, in artificial intelligence, we have invested in face recognition, voice recognition, and big data companies for anti-fraud.

This year, I will be more concerned about VR, AR, big data, and services based on big data, artificial intelligence, and software. Basically, we see many companies using big data, but we think it is more valuable to use big data to predict certain directions. This is what we are paying attention to, and from the perspective of computing power, it may not be that complicated yet and can be done.

We have seen some companies in the financial sector. We are also paying attention to robots, as well as the combination of VR and AR, and some perception technologies. For VR and AR, the hardware is basically set by foreign companies. I think China is still lagging behind in pure hardware, and it is difficult to see some breakthroughs. But in terms of content, there will be some breakthroughs.

Source: Investment community

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